201 results on '"Sampson, JN"'
Search Results
2. Methylation-based markers of aging and lifestyle-related factors and risk of breast cancer: a pooled analysis of four prospective studies
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Dugue, P-A, Bodelon, C, Chung, FF, Brewer, HR, Ambatipudi, S, Sampson, JN, Cuenin, C, Chajes, V, Romieu, I, Fiorito, G, Sacerdote, C, Krogh, V, Panico, S, Tumino, R, Vineis, P, Polidoro, S, Baglietto, L, English, D, Severi, G, Giles, GG, Milne, RL, Herceg, Z, Garcia-Closas, M, Flanagan, JM, Southey, MC, Dugue, P-A, Bodelon, C, Chung, FF, Brewer, HR, Ambatipudi, S, Sampson, JN, Cuenin, C, Chajes, V, Romieu, I, Fiorito, G, Sacerdote, C, Krogh, V, Panico, S, Tumino, R, Vineis, P, Polidoro, S, Baglietto, L, English, D, Severi, G, Giles, GG, Milne, RL, Herceg, Z, Garcia-Closas, M, Flanagan, JM, and Southey, MC
- Abstract
BACKGROUND: DNA methylation in blood may reflect adverse exposures accumulated over the lifetime and could therefore provide potential improvements in the prediction of cancer risk. A substantial body of research has shown associations between epigenetic aging and risk of disease, including cancer. Here we aimed to study epigenetic measures of aging and lifestyle-related factors in association with risk of breast cancer. METHODS: Using data from four prospective case-control studies nested in three cohorts of European ancestry participants, including a total of 1,655 breast cancer cases, we calculated three methylation-based measures of lifestyle factors (body mass index [BMI], tobacco smoking and alcohol consumption) and seven measures of epigenetic aging (Horvath-based, Hannum-based, PhenoAge and GrimAge). All measures were regression-adjusted for their respective risk factors and expressed per standard deviation (SD). Odds ratios (OR) and 95% confidence intervals (CI) were calculated using conditional or unconditional logistic regression and pooled using fixed-effects meta-analysis. Subgroup analyses were conducted by age at blood draw, time from blood sample to diagnosis, oestrogen receptor-positivity status and tumour stage. RESULTS: None of the measures of epigenetic aging were associated with risk of breast cancer in the pooled analysis: Horvath 'age acceleration' (AA): OR per SD = 1.02, 95%CI: 0.95-1.10; AA-Hannum: OR = 1.03, 95%CI:0.95-1.12; PhenoAge: OR = 1.01, 95%CI: 0.94-1.09 and GrimAge: OR = 1.03, 95%CI: 0.94-1.12, in models adjusting for white blood cell proportions, body mass index, smoking and alcohol consumption. The BMI-adjusted predictor of BMI was associated with breast cancer risk, OR per SD = 1.09, 95%CI: 1.01-1.17. The results for the alcohol and smoking methylation-based predictors were consistent with a null association. Risk did not appear to substantially vary by age at blood draw, time to diagnosis or tumour characteristics. CONCLUSION
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- 2022
3. Physical Activity from Adolescence through Midlife and Associations with Obesity and Endometrial Cancer Risk
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Saint-Maurice, PF, primary, Sampson, JN, additional, Michels, KA, additional, Moore, SC, additional, Loftfield, E, additional, McClain, K, additional, Cook, MB, additional, Trabert, B, additional, and Matthews, CE, additional
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- 2021
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4. Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies
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Bodelon, C, Ambatipudi, S, Dugue, P-A, Johansson, A, Sampson, JN, Hicks, B, Karlins, E, Hutchinson, A, Cuenin, C, Chajes, V, Southey, MC, Romieu, I, Giles, GG, English, D, Polidoro, S, Assumma, M, Baglietto, L, Vineis, P, Severi, G, Herceg, Z, Flanagan, JM, Milne, RL, Garcia-Closas, M, Bodelon, C, Ambatipudi, S, Dugue, P-A, Johansson, A, Sampson, JN, Hicks, B, Karlins, E, Hutchinson, A, Cuenin, C, Chajes, V, Southey, MC, Romieu, I, Giles, GG, English, D, Polidoro, S, Assumma, M, Baglietto, L, Vineis, P, Severi, G, Herceg, Z, Flanagan, JM, Milne, RL, and Garcia-Closas, M
- Abstract
BACKGROUND: Environmental and genetic factors play an important role in the etiology of breast cancer. Several small blood-based DNA methylation studies have reported risk associations with methylation at individual CpGs and average methylation levels; however, these findings require validation in larger prospective cohort studies. To investigate the role of blood DNA methylation on breast cancer risk, we conducted a meta-analysis of four prospective cohort studies, including a total of 1663 incident cases and 1885 controls, the largest study of blood DNA methylation and breast cancer risk to date. METHODS: We assessed associations with methylation at 365,145 CpGs present in the HumanMethylation450 (HM450K) Beadchip, after excluding CpGs that did not pass quality controls in all studies. Each of the four cohorts estimated odds ratios (ORs) and 95% confidence intervals (CI) for the association between each individual CpG and breast cancer risk. In addition, each study assessed the association between average methylation measures and breast cancer risk, adjusted and unadjusted for cell-type composition. Study-specific ORs were combined using fixed-effect meta-analysis with inverse variance weights. Stratified analyses were conducted by age at diagnosis (< 50, ≥ 50), estrogen receptor (ER) status (+/-), and time since blood collection (< 5, 5-10, > 10 years). The false discovery rate (q value) was used to account for multiple testing. RESULTS: The average age at blood draw ranged from 52.2 to 62.2 years across the four cohorts. Median follow-up time ranged from 6.6 to 8.4 years. The methylation measured at individual CpGs was not associated with breast cancer risk (q value > 0.59). In addition, higher average methylation level was not associated with risk of breast cancer (OR = 0.94, 95% CI = 0.85, 1.05; P = 0.26; P for study heterogeneity = 0.86). We found no evidence of modification of this association by age at diagnosis (P = 0.17), ER status (P = 0.88), time since
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- 2019
5. Measurement of active and sedentary behavior in context of large epidemiologic studies
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Matthews, CE, Keadle, SK, Moore, SC, Schoeller, DS, Carroll, RJ, Troiano, RP, Sampson, JN, Matthews, CE, Keadle, SK, Moore, SC, Schoeller, DS, Carroll, RJ, Troiano, RP, and Sampson, JN
- Abstract
Copyright © 2017 by the American College of Sports Medicine Introduction/Purpose: To assess the utility of measurement methods that may be more accurate and precise than traditional questionnaire-based estimates of habitual physical activity and sedentary behavior we compared the measurement properties of a past year questionnaire (AARP) and more comprehensive measures: an internet-based 24-h recall (ACT24), and a variety of estimates from an accelerometer (ActiGraph). Methods: Participants were 932 adults (50-74 yr) in a 12-month study that included reference measures of energy expenditure from doubly labeled water (DLW) and active and sedentary time via activPAL. Results: Accuracy at the group level (mean differences) was generally better for both ACT24 and ActiGraph than the AARP questionnaire. The AARP accuracy for energy expenditure ranged from j4% to j13% lower than DLW, but its accuracy was poorer for physical activity duration (j48%) and sedentary time (j18%) versus activPAL. In contrast, ACT24 accuracy was within 3% to 10% of DLW expenditure measures and within 1% to 3% of active and sedentary time from activPAL. For ActiGraph, accuracy for energy expenditure was best for the Crouter 2-regression method (j2% to j7%), and for active and sedentary time the 100 counts per minute cutpoint was most accurate (j1% to 2%) at the group level. One administration of the AARP questionnaire was significantly correlated with long-term average from the reference measures (Q TX = 0.16-0.34) overall, but four ACT24 recalls had higher correlations (Q TX = 0.48-0.60), as did 4 d of ActiGraph assessment (Q TX = 0.54-0.87). Conclusions: New exposure assessments suitable for use in large epidemiologic studies (ACT24, ActiGraph) were more accurate and had higher correlations than a traditional questionnaire. Use of better more comprehensive measures in future epidemiologic studies could yield new etiologic discoveries and possibly new opportunities for prevention.
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- 2018
6. Genome-wide association study identifies multiple risk loci for renal cell carcinoma
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Scelo, G, Purdue, MP, Brown, KM, Johansson, M, Wang, Z, Eckel-Passow, JE, Ye, Y, Hoffman, JN, Choi, J, Foll, M, Gaborieau, V, Machiela, MJ, Colli, LM, Li, P, Sampson, JN, Abedi-Ardekani, B, Besse, C, Blanche, H, Boland, A, Burdette, L, Charbrier, A, Durand, G, Le Calvez-Kelm, F, Prokhortchouk, E, Robinot, N, Skyrabin, KG, Wozniak, MB, Yeager, M, Basta-Jovanovich, G, Dzamic, Z, Foretova, L, Holcatova, I, Janout, V, Mates, D, Mukeriya, A, Rascu, S, Zaridze, D, Bencko, V, Cybulski, C, Fabianova, E, Jinga, V, Lissowska, J, Lubinski, J, Navratilova, M, Rudnai, P, Szeszenia-Dabrowska, N, Benhamou, S, Cancel-Tassin, G, Cussenot, O, Baglietto, L, Boeing, H, Khaw, K-T, Weiderpass, E, Ljungberg, B, Sitaram, RT, Bruinsma, F, Jordan, SJ, Severi, G, Winship, I, Hveem, K, Vatten, LJ, Fletcher, T, Koppova, K, Larsson, SC, Wolk, A, Banks, RE, Selby, PJ, Easton, DF, Pharoah, P, Andreotti, G, Beane Freeman, LE, Koutros, S, Albanes, D, Mannisto, S, Weinstein, S, Clark, PE, Edwards, TL, Lipworth, L, Gapstur, SM, Stevens, VL, Carol, H, Freedman, ML, Pomerantz, MM, Cho, E, Kraft, P, Preston, MA, Wilson, KM, Gaziano, JM, Sesso, HD, Black, A, Freedman, ND, Huang, WY, Anema, JG, Kahnoski, RJ, Lane, BR, Noyes, SL, Petillo, D, Teh, BT, Peters, U, White, E, Anderson, GL, Johnson, L, Luo, J, Buring, J, Lee, I-M, Chow, W-H, Moore, LE, Wood, C, Eisen, T, Henrion, M, Larkin, J, Barman, P, Leibovich, BC, Choueiri, TK, Lathrop, GM, Rothman, N, Deleuze, J-F, McKay, JD, Parker, AS, Wu, X, Houlston, RS, Brennan, P, and Chanock, SJ
- Abstract
Previous genome-wide association studies (GWAS) have identified six risk loci for renal cell carcinoma (RCC). We conducted a meta-analysis of two new scans of 5,198 cases and 7,331 controls together with four existing scans, totalling 10,784 cases and 20,406 controls of European ancestry. Twenty-four loci were tested in an additional 3,182 cases and 6,301 controls. We confirm the six known RCC risk loci and identify seven new loci at 1p32.3 (rs4381241, P=3.1 × 10−10), 3p22.1 (rs67311347, P=2.5 × 10−8), 3q26.2 (rs10936602, P=8.8 × 10−9), 8p21.3 (rs2241261, P=5.8 × 10−9), 10q24.33-q25.1 (rs11813268, P=3.9 × 10−8), 11q22.3 (rs74911261, P=2.1 × 10−10) and 14q24.2 (rs4903064, P=2.2 × 10−24). Expression quantitative trait analyses suggest plausible candidate genes at these regions that may contribute to RCC susceptibility.
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- 2017
7. An Evaluation of Accelerometer-derived Metrics to Assess Daily Behavioral Patterns
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Keadle, SK, Sampson, JN, Li, H, Lyden, K, Matthews, CE, Carroll, RJ, Keadle, SK, Sampson, JN, Li, H, Lyden, K, Matthews, CE, and Carroll, RJ
- Abstract
© 2016 by the American College of Sports Medicine. Introduction The way physical activity (PA) and sedentary behavior (SB) are accumulated throughout the day (i.e., patterns) may be important for health, but identifying measurable and meaningful metrics of behavioral patterns is challenging. This study evaluated accelerometer-derived metrics to determine whether they predicted PA and SB patterns and were reliably measured. Methods We defined and measured 55 metrics that describe daily PA and SB using data collected by using the activPAL monitor in four studies. The first two studies were randomized crossover designs that included recreationally active participants. Study 1 experimentally manipulated time spent in moderate-to-vigorous-intensity PA and sedentary time, and study 2 held time in exercise constant and manipulated SB. Study 3 included inactive participants who increased exercise, decreased sedentary time, or both. The study conditions induced distinct behavioral patterns; thus, we tested whether the new metrics could improve the prediction of an individual's study condition after adjusting for the overall volume of PA or SB using conditional logistic regression. In study 4, we measured the 3-month reliability for the pattern metrics by calculating intraclass correlation coefficients in a community-dwelling sample who wore the activPAL monitor twice for 7 d. Results In each of the experimental studies, we identified new metrics that could improve the accuracy for predicting condition beyond SB and moderate-to-vigorous-intensity PA volume. In study 1, 23 metrics were predictive of a highly active condition, and in study 2, 24 metrics were predictive of a highly sedentary condition. In study 4, the median intraclass correlation coefficients (25-75th percentiles) of the metrics were 0.59 (0.46-0.65). Conclusions Several new metrics were predictive of patterns of SB, exercise, and nonexercise behavior and are moderately reliable for a 3-month period. Applying t
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- 2017
8. A joint modeling and estimation method for multivariate longitudinal data with mixed types of responses to analyze physical activity data generated by accelerometers
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Li, H, Zhang, Y, Carroll, RJ, Keadle, SK, Sampson, JN, Matthews, CE, Li, H, Zhang, Y, Carroll, RJ, Keadle, SK, Sampson, JN, and Matthews, CE
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Copyright © 2017 John Wiley & Sons, Ltd. A mixed effect model is proposed to jointly analyze multivariate longitudinal data with continuous, proportion, count, and binary responses. The association of the variables is modeled through the correlation of random effects. We use a quasi-likelihood type approximation for nonlinear variables and transform the proposed model into a multivariate linear mixed model framework for estimation and inference. Via an extension to the EM approach, an efficient algorithm is developed to fit the model. The method is applied to physical activity data, which uses a wearable accelerometer device to measure daily movement and energy expenditure information. Our approach is also evaluated by a simulation study.
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- 2017
9. Genome-Wide Association Study to Identify Susceptibility Loci That Modify Radiation-Related Risk for Breast Cancer After Childhood Cancer
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Kenan Onel, Sue Hammond, Whitton Ja, Jeffrey S. Miller, Chaya S. Moskowitz, Zhaoming Wang, Vogt A, Li Sa, Margaret A. Tucker, Kendra E. Jones, Diana M. Merino, Preetha Rajaraman, Gregory T. Armstrong, Stephen J. Chanock, Smith Sa, Lindsay M. Morton, Mitchell J. Machiela, Smita Bhatia, Belynda Hicks, Kang G, Tara O. Henderson, Burdette L, Sampson Jn, S.M. Davies, Kevin C. Oeffinger, Geoffrey Neale, Deo Kumar Srivastava, Wilson Cl, Wong, Lucie M. Turcotte, Peter D. Inskip, Berrington de Gonzalez A, Todd M. Gibson, Joseph P. Neglia, Gretchen A. Radloff, Strong Lc, Hudson Mm, Howell R, Chung C, Weathers Re, Ting Huei Chen, Joseph F. Fraumeni, Karlins E, Yeager M, Liu W, Casey L. Dagnall, Yutaka Yasui, William Wheeler, Wendy M. Leisenring, Stovall M, Laura Bowen, Leslie L. Robison, and Matthew Lear
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0301 basic medicine ,Oncology ,Cancer Research ,Neoplasms, Radiation-Induced ,medicine.medical_treatment ,Muscle Proteins ,Cohort Studies ,0302 clinical medicine ,Epidemiology of cancer ,Breast ,Survivors ,Child ,education.field_of_study ,Leukemia ,Hazard ratio ,Microfilament Proteins ,Neoplasms, Second Primary ,Radiotherapy Dosage ,Middle Aged ,Hodgkin Disease ,030220 oncology & carcinogenesis ,Child, Preschool ,Population study ,Female ,raf Kinases ,Adult ,medicine.medical_specialty ,Adolescent ,Population ,Breast Neoplasms ,Childhood Cancer Survivor Study ,Article ,03 medical and health sciences ,Young Adult ,Breast cancer ,Internal medicine ,medicine ,Humans ,Genetic Predisposition to Disease ,education ,Proportional Hazards Models ,Retrospective Studies ,Homeodomain Proteins ,Proportional hazards model ,business.industry ,Ribosomal Protein S6 Kinases ,Tumor Suppressor Proteins ,Infant ,medicine.disease ,Radiation therapy ,030104 developmental biology ,business ,Genome-Wide Association Study - Abstract
Background Childhood cancer survivors treated with chest-directed radiotherapy have substantially elevated risk for developing breast cancer. Although genetic susceptibility to breast cancer in the general population is well studied, large-scale evaluation of breast cancer susceptibility after chest-directed radiotherapy for childhood cancer is lacking. Methods We conducted a genome-wide association study of breast cancer in female survivors of childhood cancer, pooling two cohorts with detailed treatment data and systematic, long-term follow-up: the Childhood Cancer Survivor Study and St. Jude Lifetime Cohort. The study population comprised 207 survivors who developed breast cancer and 2774 who had not developed any subsequent neoplasm as of last follow-up. Genotyping and subsequent imputation yielded 16 958 466 high-quality variants for analysis. We tested associations in the overall population and in subgroups stratified by receipt of lower than 10 and 10 or higher gray breast radiation exposure. We report P values and pooled per-allele risk estimates from Cox proportional hazards regression models. All statistical tests were two-sided. Results Among survivors who received 10 or higher gray breast radiation exposure, a locus on 1q41 was associated with subsequent breast cancer risk (rs4342822, nearest gene PROX1 , risk allele frequency in control subjects [RAF controls ] = 0.46, hazard ratio = 1.92, 95% confidence interval = 1.49 to 2.44, P = 7.09 × 10 -9 ). Two rare variants also showed potentially promising associations (breast radiation ≥10 gray: rs74949440, 11q23, TAGLN , RAF controls = 0.02, P = 5.84 × 10 -8
- Published
- 2016
10. Female chromosome X mosaicism is age-related and preferentially affects the inactivated X chromosome
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Machiela, MJ, Zhou, W, Karlins, E, Sampson, JN, Freedman, ND, Yang, Q, Hicks, B, Dagnall, C, Hautman, C, Jacobs, KB, Abnet, CC, Aldrich, MC, Amos, C, Amundadottir, LT, Arslan, AA, Beane-Freeman, LE, Berndt, SI, Black, A, Blot, WJ, Bock, CH, Bracci, PM, Brinton, LA, Bueno-de-Mesquita, HB, Burdett, L, Buring, JE, Butler, MA, Canzian, F, Carreon, T, Chaffee, KG, Chang, I-S, Chatterjee, N, Chen, C, Chen, K, Chung, CC, Cook, LS, Bou, MC, Cullen, M, Davis, FG, De Vivo, I, Ding, T, Doherty, J, Duell, EJ, Epstein, CG, Fan, J-H, Figueroa, JD, Fraumeni, JF, Friedenreich, CM, Fuchs, CS, Gallinger, S, Gao, Y-T, Gapstur, SM, Garcia-Closas, M, Gaudet, MM, Gaziano, JM, Giles, GG, Gillanders, EM, Giovannucci, EL, Goldin, L, Goldstein, AM, Haiman, CA, Hallmans, G, Hankinson, SE, Harris, CC, Henriksson, R, Holly, EA, Hong, Y-C, Hoover, RN, Hsiung, CA, Hu, N, Hu, W, Hunter, DJ, Hutchinson, A, Jenab, M, Johansen, C, Khaw, K-T, Kim, HN, Kim, YH, Kim, YT, Klein, AP, Klein, R, Koh, W-P, Kolonel, LN, Kooperberg, C, Kraft, P, Krogh, V, Kurtz, RC, LaCroix, A, Lan, Q, Landi, MT, Le Marchand, L, Li, D, Liang, X, Liao, LM, Lin, D, Liu, J, Lissowska, J, Lu, L, Magliocco, AM, Malats, N, Matsuo, K, McNeill, LH, McWilliams, RR, Melin, BS, Mirabello, L, Moore, L, Olson, SH, Orlow, I, Park, JY, Patino-Garcia, A, Peplonska, B, Peters, U, Petersen, GM, Pooler, L, Prescott, J, Prokunina-Olsson, L, Purdue, MP, Qiao, Y-L, Rajaraman, P, Real, FX, Riboli, E, Risch, HA, Rodriguez-Santiago, B, Ruder, AM, Savage, SA, Schumacher, F, Schwartz, AG, Schwartz, KL, Seow, A, Setiawan, VW, Severi, G, Shen, H, Sheng, X, Shin, M-H, Shu, X-O, Silverman, DT, Spitz, MR, Stevens, VL, Stolzenberg-Solomon, R, Stram, D, Tang, Z-Z, Taylor, PR, Teras, LR, Tobias, GS, Van den Berg, D, Visvanathan, K, Wacholder, S, Wang, J-C, Wang, Z, Wentzensen, N, Wheeler, W, White, E, Wiencke, JK, Wolpin, BM, Wong, MP, Wu, C, Wu, T, Wu, X, Wu, Y-L, Wunder, JS, Xia, L, Yang, HP, Yang, P-C, Yu, K, Zanetti, KA, Zeleniuch-Jacquotte, A, Zheng, W, Zhou, B, Ziegler, RG, Perez-Jurado, LA, Caporaso, NE, Rothman, N, Tucker, M, Dean, MC, Yeager, M, Chanock, SJ, Machiela, MJ, Zhou, W, Karlins, E, Sampson, JN, Freedman, ND, Yang, Q, Hicks, B, Dagnall, C, Hautman, C, Jacobs, KB, Abnet, CC, Aldrich, MC, Amos, C, Amundadottir, LT, Arslan, AA, Beane-Freeman, LE, Berndt, SI, Black, A, Blot, WJ, Bock, CH, Bracci, PM, Brinton, LA, Bueno-de-Mesquita, HB, Burdett, L, Buring, JE, Butler, MA, Canzian, F, Carreon, T, Chaffee, KG, Chang, I-S, Chatterjee, N, Chen, C, Chen, K, Chung, CC, Cook, LS, Bou, MC, Cullen, M, Davis, FG, De Vivo, I, Ding, T, Doherty, J, Duell, EJ, Epstein, CG, Fan, J-H, Figueroa, JD, Fraumeni, JF, Friedenreich, CM, Fuchs, CS, Gallinger, S, Gao, Y-T, Gapstur, SM, Garcia-Closas, M, Gaudet, MM, Gaziano, JM, Giles, GG, Gillanders, EM, Giovannucci, EL, Goldin, L, Goldstein, AM, Haiman, CA, Hallmans, G, Hankinson, SE, Harris, CC, Henriksson, R, Holly, EA, Hong, Y-C, Hoover, RN, Hsiung, CA, Hu, N, Hu, W, Hunter, DJ, Hutchinson, A, Jenab, M, Johansen, C, Khaw, K-T, Kim, HN, Kim, YH, Kim, YT, Klein, AP, Klein, R, Koh, W-P, Kolonel, LN, Kooperberg, C, Kraft, P, Krogh, V, Kurtz, RC, LaCroix, A, Lan, Q, Landi, MT, Le Marchand, L, Li, D, Liang, X, Liao, LM, Lin, D, Liu, J, Lissowska, J, Lu, L, Magliocco, AM, Malats, N, Matsuo, K, McNeill, LH, McWilliams, RR, Melin, BS, Mirabello, L, Moore, L, Olson, SH, Orlow, I, Park, JY, Patino-Garcia, A, Peplonska, B, Peters, U, Petersen, GM, Pooler, L, Prescott, J, Prokunina-Olsson, L, Purdue, MP, Qiao, Y-L, Rajaraman, P, Real, FX, Riboli, E, Risch, HA, Rodriguez-Santiago, B, Ruder, AM, Savage, SA, Schumacher, F, Schwartz, AG, Schwartz, KL, Seow, A, Setiawan, VW, Severi, G, Shen, H, Sheng, X, Shin, M-H, Shu, X-O, Silverman, DT, Spitz, MR, Stevens, VL, Stolzenberg-Solomon, R, Stram, D, Tang, Z-Z, Taylor, PR, Teras, LR, Tobias, GS, Van den Berg, D, Visvanathan, K, Wacholder, S, Wang, J-C, Wang, Z, Wentzensen, N, Wheeler, W, White, E, Wiencke, JK, Wolpin, BM, Wong, MP, Wu, C, Wu, T, Wu, X, Wu, Y-L, Wunder, JS, Xia, L, Yang, HP, Yang, P-C, Yu, K, Zanetti, KA, Zeleniuch-Jacquotte, A, Zheng, W, Zhou, B, Ziegler, RG, Perez-Jurado, LA, Caporaso, NE, Rothman, N, Tucker, M, Dean, MC, Yeager, M, and Chanock, SJ
- Abstract
To investigate large structural clonal mosaicism of chromosome X, we analysed the SNP microarray intensity data of 38,303 women from cancer genome-wide association studies (20,878 cases and 17,425 controls) and detected 124 mosaic X events >2 Mb in 97 (0.25%) women. Here we show rates for X-chromosome mosaicism are four times higher than mean autosomal rates; X mosaic events more often include the entire chromosome and participants with X events more likely harbour autosomal mosaic events. X mosaicism frequency increases with age (0.11% in 50-year olds; 0.45% in 75-year olds), as reported for Y and autosomes. Methylation array analyses of 33 women with X mosaicism indicate events preferentially involve the inactive X chromosome. Our results provide further evidence that the sex chromosomes undergo mosaic events more frequently than autosomes, which could have implications for understanding the underlying mechanisms of mosaic events and their possible contribution to risk for chronic diseases.
- Published
- 2016
11. Vitamin D Metabolic Pathway Genes and Pancreatic Cancer Risk
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Chang, JS, Arem, H, Yu, K, Xiong, X, Moy, K, Freedman, ND, Mayne, ST, Albanes, D, Arslan, AA, Austin, M, Bamlet, WR, Beane-Freeman, L, Bracci, P, Canzian, F, Cotterchio, M, Duell, EJ, Gallinger, S, Giles, GG, Goggins, M, Goodman, PJ, Hartge, P, Hassan, M, Helzlsouer, K, Henderson, B, Holly, EA, Hoover, R, Jacobs, EJ, Kamineni, A, Klein, A, Klein, E, Kolonel, LN, Li, D, Malats, N, Mannisto, S, McCullough, ML, Olson, SH, Orlow, I, Peters, U, Petersen, GM, Porta, M, Severi, G, Shu, X-O, Visvanathan, K, White, E, Yu, H, Zeleniuch-Jacquotte, A, Zheng, W, Tobias, GS, Maeder, D, Brotzman, M, Risch, H, Sampson, JN, Stolzenberg-Solomon, RZ, Chang, JS, Arem, H, Yu, K, Xiong, X, Moy, K, Freedman, ND, Mayne, ST, Albanes, D, Arslan, AA, Austin, M, Bamlet, WR, Beane-Freeman, L, Bracci, P, Canzian, F, Cotterchio, M, Duell, EJ, Gallinger, S, Giles, GG, Goggins, M, Goodman, PJ, Hartge, P, Hassan, M, Helzlsouer, K, Henderson, B, Holly, EA, Hoover, R, Jacobs, EJ, Kamineni, A, Klein, A, Klein, E, Kolonel, LN, Li, D, Malats, N, Mannisto, S, McCullough, ML, Olson, SH, Orlow, I, Peters, U, Petersen, GM, Porta, M, Severi, G, Shu, X-O, Visvanathan, K, White, E, Yu, H, Zeleniuch-Jacquotte, A, Zheng, W, Tobias, GS, Maeder, D, Brotzman, M, Risch, H, Sampson, JN, and Stolzenberg-Solomon, RZ
- Abstract
Evidence on the association between vitamin D status and pancreatic cancer risk is inconsistent. This inconsistency may be partially attributable to variation in vitamin D regulating genes. We selected 11 vitamin D-related genes (GC, DHCR7, CYP2R1, VDR, CYP27B1, CYP24A1, CYP27A1, RXRA, CRP2, CASR and CUBN) totaling 213 single nucleotide polymorphisms (SNPs), and examined associations with pancreatic adenocarcinoma. Our study included 3,583 pancreatic cancer cases and 7,053 controls from the genome-wide association studies of pancreatic cancer PanScans-I-III. We used the Adaptive Joint Test and the Adaptive Rank Truncated Product statistic for pathway and gene analyses, and unconditional logistic regression for SNP analyses, adjusting for age, sex, study and population stratification. We examined effect modification by circulating vitamin D concentration (≤50, >50 nmol/L) for the most significant SNPs using a subset of cohort cases (n = 713) and controls (n = 878). The vitamin D metabolic pathway was not associated with pancreatic cancer risk (p = 0.830). Of the individual genes, none were associated with pancreatic cancer risk at a significance level of p<0.05. SNPs near the VDR (rs2239186), LRP2 (rs4668123), CYP24A1 (rs2762932), GC (rs2282679), and CUBN (rs1810205) genes were the top SNPs associated with pancreatic cancer (p-values 0.008-0.037), but none were statistically significant after adjusting for multiple comparisons. Associations between these SNPs and pancreatic cancer were not modified by circulating concentrations of vitamin D. These findings do not support an association between vitamin D-related genes and pancreatic cancer risk. Future research should explore other pathways through which vitamin D status might be associated with pancreatic cancer risk.
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- 2015
12. Vitamin D Metabolic Pathway Genes and Pancreatic Cancer Risk (vol 10, e0117574, 2015)
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Arem, H, Yu, K, Xiong, X, Moy, K, Freedman, ND, Mayne, ST, Albanes, D, Amundadottir, LT, Arslan, AA, Austin, M, Bamlet, WR, Beane-Freeman, L, Bracci, P, Canzian, F, Chanock, SJ, Cotterchio, M, Duell, EJ, Gallinger, S, Giles, GG, Goggins, M, Goodman, PJ, Hartge, P, Hassan, M, Helzlsouer, K, Henderson, B, Holly, EA, Hoover, R, Jacobs, EJ, Kamineni, A, Klein, A, Klein, E, Kolonel, LN, Li, D, Malats, N, Maennistoe, S, McCullough, ML, Olson, SH, Orlow, I, Peters, U, Petersen, GM, Porta, M, Severi, G, Shu, X-O, Van den Eeden, S, Visvanathan, K, White, E, Yu, H, Zeleniuch-Jacquotte, A, Zheng, W, Tobias, GS, Maeder, D, Brotzman, M, Risch, H, Sampson, JN, Stolzenberg-Solomon, RZ, Arem, H, Yu, K, Xiong, X, Moy, K, Freedman, ND, Mayne, ST, Albanes, D, Amundadottir, LT, Arslan, AA, Austin, M, Bamlet, WR, Beane-Freeman, L, Bracci, P, Canzian, F, Chanock, SJ, Cotterchio, M, Duell, EJ, Gallinger, S, Giles, GG, Goggins, M, Goodman, PJ, Hartge, P, Hassan, M, Helzlsouer, K, Henderson, B, Holly, EA, Hoover, R, Jacobs, EJ, Kamineni, A, Klein, A, Klein, E, Kolonel, LN, Li, D, Malats, N, Maennistoe, S, McCullough, ML, Olson, SH, Orlow, I, Peters, U, Petersen, GM, Porta, M, Severi, G, Shu, X-O, Van den Eeden, S, Visvanathan, K, White, E, Yu, H, Zeleniuch-Jacquotte, A, Zheng, W, Tobias, GS, Maeder, D, Brotzman, M, Risch, H, Sampson, JN, and Stolzenberg-Solomon, RZ
- Published
- 2015
13. Rare missense variants in POT1 predispose to familial cutaneous malignant melanoma
- Author
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Shi, J, Yang, Xr, Ballew, B, Rotunno, M, Calista, D, Fargnoli, Mc, Ghiorzo, P, Bressac De Paillerets, B, Nagore, E, Avril, Mf, Caporaso, Ne, Mcmaster, Ml, Cullen, M, Wang, Z, Zhang, X, Bruno, W, Pastorino, L, Queirolo, P, Banuls Roca, J, Garcia Casado, Z, Vaysse, A, Mohamdi, H, Riazalhosseini, Y, Foglio, M, Jouenne, F, Hua, X, Hyland, Pl, Yin, J, Vallabhaneni, H, Chai, W, Minghetti, P, Pellegrini, C, Ravichandran, S, Eggermont, A, Lathrop, M, Peris, Ketty, Scarra, Gb, Landi, G, Savage, Sa, Sampson, Jn, He, J, Yeager, M, Goldin, Lr, Demenais, F, Chanock, Sj, Tucker, Ma, Goldstein, Am, Liu, Y, Landi, Mt, Peris, Ketty (ORCID:0000-0002-5237-0463), Shi, J, Yang, Xr, Ballew, B, Rotunno, M, Calista, D, Fargnoli, Mc, Ghiorzo, P, Bressac De Paillerets, B, Nagore, E, Avril, Mf, Caporaso, Ne, Mcmaster, Ml, Cullen, M, Wang, Z, Zhang, X, Bruno, W, Pastorino, L, Queirolo, P, Banuls Roca, J, Garcia Casado, Z, Vaysse, A, Mohamdi, H, Riazalhosseini, Y, Foglio, M, Jouenne, F, Hua, X, Hyland, Pl, Yin, J, Vallabhaneni, H, Chai, W, Minghetti, P, Pellegrini, C, Ravichandran, S, Eggermont, A, Lathrop, M, Peris, Ketty, Scarra, Gb, Landi, G, Savage, Sa, Sampson, Jn, He, J, Yeager, M, Goldin, Lr, Demenais, F, Chanock, Sj, Tucker, Ma, Goldstein, Am, Liu, Y, Landi, Mt, and Peris, Ketty (ORCID:0000-0002-5237-0463)
- Abstract
Although CDKN2A is the most frequent high-risk melanoma susceptibility gene, the underlying genetic factors for most melanoma-prone families remain unknown. Using whole-exome sequencing, we identified a rare variant that arose as a founder mutation in the telomere shelterin gene POT1 (chromosome 7, g.124493086C>T; p.Ser270Asn) in five unrelated melanoma-prone families from Romagna, Italy. Carriers of this variant had increased telomere lengths and numbers of fragile telomeres, suggesting that this variant perturbs telomere maintenance. Two additional rare POT1 variants were identified in all cases sequenced in two separate Italian families, one variant per family, yielding a frequency for POT1 variants comparable to that for CDKN2A mutations in this population. These variants were not found in public databases or in 2,038 genotyped Italian controls. We also identified two rare recurrent POT1 variants in US and French familial melanoma cases. Our findings suggest that POT1 is a major susceptibility gene for familial melanoma in several populations.
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- 2014
14. Empirical performance of cross-validation with oracle methods in a genomics context
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Martinez, JG, Carroll, RJ, Müller, S, Sampson, JN, Chatterjee, N, Martinez, JG, Carroll, RJ, Müller, S, Sampson, JN, and Chatterjee, N
- Abstract
When employing model selection methods with oracle properties such as the smoothly clipped absolute deviation (SCAD) and the Adaptive Lasso, it is typical to estimate the smoothing parameter by m-fold cross-validation, for example, m = 10. In problems where the true regression function is sparse and the signals large, such cross-validation typically works well. However, in regression modeling of genomic studies involving Single Nucleotide Polymorphisms (SNP), the true regression functions, while thought to be sparse, do not have large signals. We demonstrate empirically that in such problems, the number of selected variables using SCAD and the Adaptive Lasso, with 10-fold cross-validation, is a random variable that has considerable and surprising variation. Similar remarks apply to nonoracle methods such as the Lasso. Our study strongly questions the suitability of performing only a single run of m-fold crossvalidation with any oracle method, and not just the SCAD and Adaptive Lasso. © 2011 American Statistical Association.
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- 2011
15. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
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Hidemi Ito, Stephen K. Van Den Eeden, Abdisamad M. Ibrahim, Ching C. Lau, Preetha Rajaraman, Gloria M. Petersen, Judith Hoffman-Bolton, Colin P.N. Dinney, Chang Hyun Kang, Melinda C. Aldrich, Mark P. Purdue, Xiao-Ou Shu, William J. Blot, Sanjay Shete, Alpa V. Patel, Charles Kooperberg, Paolo Vineis, David Van Den Berg, Chao A. Hsiung, Anthony J. Swerdlow, Qing Lan, Wu Chou Su, Afshan Siddiq, Ulrike Peters, Katia Scotlandi, Sara H. Olson, Kendra Schwartz, Kelly L. Bolton, Chancellor Hohensee, Josep Lloreta, Kevin B. Jacobs, Debra T. Silverman, Rudolf Kaaks, Wei Zheng, Steven Gallinger, Junwen Wang, Angela Carta, Massimo Serra, Petra H.M. Peeters, Victoria L. Stevens, Yasushi Yatabe, Geraldine Cancel-Tassin, Joshua N. Sampson, Young Tae Kim, Graham A. Colditz, Pan-Chyr Yang, Baosen Zhou, Fredrick R. Schumacher, Nicolas Wentzensen, Evelyn Tay, Claudia Maria Hattinger, Chen Wu, Pilar Amiano, Mattias Johansson, Maxwell P. Lee, Christian P. Kratz, Michael B. Cook, Mingfeng Zhang, Kay-Tee Khaw, Jian-Min Yuan, Anne Zeleniuch-Jacquotte, Jinping Jia, Roberto Tirabosco, Jing Ma, Neil E. Caporaso, Christopher A. Haiman, Bu Tian Ji, Adrienne M. Flanagan, Neyssa Marina, Eric J. Jacobs, Sophia S. Wang, Chong-Jen Yu, Edward Giovannucci, Margaret Wrensch, Robert L. Grubb, Bin Zhu, Daniel O. Stram, Manolis Kogevinas, Margaret R. Karagas, Mazda Jenab, Alison M. Mondul, Jun Xu, Preethi S. Raj, Anders Ahlbom, Christine D. Berg, Shelley Niwa, Kala Visvanathan, Loic Le Marchand, Jorge R. Toro, Robert N. Hoover, Heather Spencer Feigelson, Michelle Brotzman, Laurence N. Kolonel, Krista A. Zanetti, Chengfeng Wang, Mary Ann Butler, Ann Truelove, Irene L. Andrulis, Hongbing Shen, H. Dean Hosgood, Ming Shyan Huang, Gee-Chen Chang, Jianjun Liu, John K. Wiencke, Stephanie J. Weinstein, Beatrice Melin, Kouya Shiraishi, Zhihua Yin, Lee E. Moore, Börje Ljungberg, Jolanta Lissowska, Elizabeth M. Gillanders, M. T. Landi, Cari M. Kitahara, Maria Feychting, Kuan-Yu Chen, Matthias Simon, Brian M. Wolpin, Hemang Parikh, Hannah P. Yang, Graham G. Giles, Alison Johnson, Demetrius Albanes, Carlos González, Brian E. Henderson, Xifeng Wu, Harvey A. Risch, Amy Hutchinson, Christopher Hautman, Constance Chen, Zhibin Hu, Donghui Li, Elio Riboli, Julie E. Buring, Curtis C. Harris, Xu Che, Núria Malats, Roger Henriksson, Rosario Tumino, Joanne S. Colt, Alfredo Carrato, Paolo Boffetta, Maria Pik Wong, Hideo Tanaka, Federico Canzian, Alan D. L. Sihoe, Chien-Jen Chen, Kenneth Muir, Chen Ying, Qincheng He, Melissa C. Southey, Marc Sanson, Victoria K. Cortessis, Sharon A. Savage, Wei Hu, Yao Tettey, Daniela S. Gerhard, Sofia Pavanello, Guangwen Cao, H. Barton Grossman, Michael Goggins, Hideo Kunitoh, Peter D. Inskip, Seth P. Lerner, Peter Kraft, David Thomas, Peng Guan, Chung Hsing Chen, I. Shou Chang, Christoffer Johansen, Roberta McKean-Cowdin, Lee J. Helman, Yuh Min Chen, Ana Patiño-García, Pär Stattin, Xiaoping Miao, Tangchun Wu, Jay S. Wunder, Ann W. Hsing, Yu-Tang Gao, Brooke L. Fridley, Tania Carreón, Charles C. Chung, Nan Hu, Yoo Jin Jung, Richard B. Biritwum, Eric J. Duell, Philip R. Taylor, Satu Männistö, Kai Yu, Meredith Yeager, Xia Pu, Vittorio Krogh, Anand P. Chokkalingam, Susan M. Gapstur, W. Ryan Diver, Yuanqing Ye, Keitaro Matsuo, Cecilia Arici, You-Lin Qiao, Alan R. Schned, Dominique S. Michaud, Joanne W. Elena, Christopher Kim, Dongxin Lin, Yun-Chul Hong, Daru Lu, Reina García-Closas, Jonine D. Figueroa, Linda M. Liao, Yi-Long Wu, Heiner Boeing, Mark Lathrop, Göran Hallmans, Elizabeth A. Holly, Carol Giffen, Andrew A. Adjei, Consol Serra, Anne Tjønneland, Joseph F. Fraumeni, Alisa M. Goldstein, Ruth C. Travis, Rebecca Troisi, Dalsu Baris, Nalan Gokgoz, Olivier Cussenot, Xiang Deng, Yeul Hong Kim, Malin Sund, Sonja I. Berndt, E. David Crawford, Edward D. Yeboah, Sook Whan Sung, Françoise Clavel-Chapelon, Woon-Puay Koh, Nilgun Kurucu, Richard B. Hayes, Ashish M. Kamat, Beata Peplonska, Laurie Burdette, Ze Zhang Tang, Alan A. Arslan, Malcolm C. Pike, Sabina Sierri, J. Michael Gaziano, Lorna H. McNeil, Katherine A. McGlynn, Ulla Vogel, Logan G. Spector, H. Bas Bueno-de-Mesquita, Stephen J. Chanock, Jae Yong Park, Jennifer Prescott, Fernando Lecanda, Margaret A. Tucker, Ti Ding, Christian C. Abnet, Jenny Chang-Claude, Dimitrios Trichopoulos, Wei-Yen Lim, Wen Tan, Nick Orr, Jin Hee Kim, Stefano Porru, Chand Khanna, Robert R. McWilliams, Zhaoming Wang, Jeong Seon Ryu, David V. Conti, Alison P. Klein, Adonina Tardón, Robert J. Klein, Rebecca J. Rodabough, Mark H. Greene, Aruna Kamineni, Jie Lin, Rachael Z. Stolzenberg-Solomon, Patricia Hartge, Susan E. Hankinson, Young-Chul Kim, In Sam Kim, Luis Sierrasesúmaga, Roel Vermeulen, Paige M. Bracci, Mariana C. Stern, Louise A. Brinton, Myron D. Gross, Yong-Bing Xiang, Chih Yi Chen, G. A. Gerald Andriole, Paul S. Meltzer, Ying-Huang Tsai, Faith G. Davis, Ulrika Andersson, Paul Brennan, Sara Lindström, Chaoyu Wang, Giuseppe Mastrangelo, Laufey T. Amundadottir, Immaculata De Vivo, Bryan A. Bassig, Elisabete Weiderpass, Takashi Kohno, Nilanjan Chatterjee, Margaret R. Spitz, Pier Alberto Bertazzi, William Wheeler, David J. Hunter, Wei Tang, Qiuyin Cai, Naomi E. Allen, Molly Schwenn, Emily White, Min Shen, Adeline Seow, Laura E. Beane Freeman, James E. Mensah, Howard D. Sesso, Anna Luisa Di Stefano, Amanda Black, Manuela Gago-Dominguez, Christine B. Ambrosone, Avima M. Ruder, Martha S. Linet, Meir J. Stampfer, Robert C. Kurtz, Donald A. Barkauskas, Lisa W. Chu, Montserrat Garcia-Closas, Jason W. Hoskins, Melissa A. Austin, Kyoung Mu Lee, Jianxin Shi, Charles S. Fuchs, Nathaniel Rothman, Richard Gorlick, Piero Picci, Gianluca Severi, Ann G. Schwartz, Jian Gu, Christopher I. Amos, Marie-Christine Boutron-Ruault, Salvatore Panico, Alicja Wolk, Sara S. Strom, Lisa Mirabello, Jin-Hu Fan, Chin-Fu Hsiao, Neal D. Freedman, Geoffrey S. Tobias, Julie M. Gastier-Foster, Wang, Z, Zhu, B, Zhang, M, Parikh, H, Jia, J, Chung, Cc, Sampson, Jn, Hoskins, Jw, Hutchinson, A, Burdette, L, Ibrahim, A, Hautman, C, Raj, P, Abnet, Cc, Adjei, Aa, Ahlbom, A, Albanes, D, Allen, Ne, Ambrosone, Cb, Aldrich, M, Amiano, P, Amos, C, Andersson, U, Andriole G., Jr, Andrulis, Il, Arici, C, Arslan, Aa, Austin, Ma, Baris, D, Barkauskas, Da, Bassig, Ba, Beane Freeman, Le, Berg, Cd, Berndt, Si, Bertazzi, Pa, Biritwum, Rb, Black, A, Blot, W, Boeing, H, Boffetta, P, Bolton, K, Boutron Ruault, Mc, Bracci, Pm, Brennan, P, Brinton, La, Brotzman, M, Bueno de Mesquita, Hb, Buring, Je, Butler, Ma, Cai, Q, Cancel Tassin, G, Canzian, F, Cao, G, Caporaso, Ne, Carrato, A, Carreon, T, Carta, A, Chang, Gc, Chang, I, Chang Claude, J, Che, X, Chen, Cj, Chen, Cy, Chen, Ch, Chen, C, Chen, Ky, Chen, Ym, Chokkalingam, Ap, Chu, Lw, Clavel Chapelon, F, Colditz, Ga, Colt, J, Conti, D, Cook, Mb, Cortessis, Vk, Crawford, Ed, Cussenot, O, Davis, Fg, De Vivo, I, Deng, X, Ding, T, Dinney, Cp, Di Stefano, Al, Diver, Wr, Duell, Ej, Elena, Jw, Fan, Jh, Feigelson, H, Feychting, M, Figueroa, Jd, Flanagan, Am, Fraumeni JF, Jr, Freedman, Nd, Fridley, Bl, Fuchs, C, Gago Dominguez, M, Gallinger, S, Gao, Yt, Gapstur, Sm, Garcia Closas, M, Garcia Closas, R, Gastier Foster, Jm, Gaziano, Jm, Gerhard, D, Giffen, Ca, Giles, Gg, Gillanders, Em, Giovannucci, El, Goggins, M, Gokgoz, N, Goldstein, Am, Gonzalez, C, Gorlick, R, Greene, Mh, Gross, M, Grossman, Hb, Grubb R., 3rd, Gu, J, Guan, P, Haiman, Ca, Hallmans, G, Hankinson, Se, Harris, Cc, Hartge, P, Hattinger, C, Hayes, Rb, He, Q, Helman, L, Henderson, Be, Henriksson, R, Hoffman Bolton, J, Hohensee, C, Holly, Ea, Hong, Yc, Hoover, Rn, Hosgood HD, 3rd, Hsiao, Cf, Hsing, Aw, Hsiung, Ca, Hu, N, Hu, W, Hu, Z, Huang, M, Hunter, Dj, Inskip, Pd, Ito, H, Jacobs, Ej, Jacobs, Kb, Jenab, M, Ji, Bt, Johansen, C, Johansson, M, Johnson, A, Kaaks, R, Kamat, Am, Kamineni, A, Karagas, M, Khanna, C, Khaw, Kt, Kim, C, Kim, I, Kim, Yh, Kim, Yc, Kim, Yt, Kang, Ch, Jung, Yj, Kitahara, Cm, Klein, Ap, Klein, R, Kogevinas, M, Koh, Wp, Kohno, T, Kolonel, Ln, Kooperberg, C, Kratz, Cp, Krogh, V, Kunitoh, H, Kurtz, Rc, Kurucu, N, Lan, Q, Lathrop, M, Lau, Cc, Lecanda, F, Lee, Km, Lee, Mp, Le Marchand, L, Lerner, Sp, Li, D, Liao, Lm, Lim, Wy, Lin, D, Lin, J, Lindstrom, S, Linet, M, Lissowska, J, Liu, J, Ljungberg, B, Lloreta, J, Lu, D, Ma, J, Malats, N, Mannisto, S, Marina, N, Mastrangelo, G, Matsuo, K, Mcglynn, Ka, McKean Cowdin, R, Mcneill, Lh, Mcwilliams, Rr, Melin, B, Meltzer, P, Mensah, Je, Miao, X, Michaud, D, Mondul, Am, Moore, Le, Muir, K, Niwa, S, Olson, Sh, Orr, N, Panico, Salvatore, Park, Jy, Patel, Av, Patino Garcia, A, Pavanello, S, Peeters, Ph, Peplonska, B, Peters, U, Petersen, Gm, Picci, P, Pike, Mc, Porru, S, Prescott, J, Pu, X, Purdue, Mp, Qiao, Yl, Rajaraman, P, Riboli, E, Risch, Ha, Rodabough, Rj, Rothman, N, Ruder, Am, Ryu, J, Sanson, M, Schned, A, Schumacher, Fr, Schwartz, Ag, Schwartz, Kl, Schwenn, M, Scotlandi, K, Seow, A, Serra, C, Serra, M, Sesso, Hd, Severi, G, Shen, H, Shen, M, Shete, S, Shiraishi, K, Shu, Xo, Siddiq, A, Sierrasesumaga, L, Sierri, S, Loon Sihoe, Ad, Silverman, Dt, Simon, M, Southey, Mc, Spector, L, Spitz, M, Stampfer, M, Stattin, P, Stern, Mc, Stevens, Vl, Stolzenberg Solomon, Rz, Stram, Do, Strom, S, Su, Wc, Sund, M, Sung, Sw, Swerdlow, A, Tan, W, Tanaka, H, Tang, W, Tang, Zz, Tardon, A, Tay, E, Taylor, Pr, Tettey, Y, Thomas, Dm, Tirabosco, R, Tjonneland, A, Tobias, G, Toro, Jr, Travis, Rc, Trichopoulos, D, Troisi, R, Truelove, A, Tsai, Yh, Tucker, Ma, Tumino, R, Van Den Berg, D, Van Den Eeden, Sk, Vermeulen, R, Vineis, P, Visvanathan, K, Vogel, U, Wang, C, Wang, J, Wang, S, Weiderpass, E, Weinstein, Sj, Wentzensen, N, Wheeler, W, White, E, Wiencke, Jk, Wolk, A, Wolpin, Bm, Wong, Mp, Wrensch, M, Wu, C, Wu, T, Wu, X, Wu, Yl, Wunder, J, Xiang, Yb, Xu, J, Yang, Hp, Yang, Pc, Yatabe, Y, Ye, Y, Yeboah, Ed, Yin, Z, Ying, C, Yu, Cj, Yu, K, Yuan, Jm, Zanetti, Ka, Zeleniuch Jacquotte, A, Zheng, W, Zhou, B, Mirabello, L, Savage, Sa, Kraft, P, Chanock, Sj, Yeager, M, Landi, Mt, Shi, J, Chatterjee, N, Amundadottir, Lt, Wang, Z., Zhu, B., Zhang, M., Parikh, H., Jia, J., Chung, C.C., Sampson, J.N., Hoskins, J.W., Hutchinson, A., Burdette, L., Ibrahim, A., Hautman, C., Raj, P.S., Abnet, C.C., Adjei, A.A., Ahlbom, A., Albanes, D., Allen, N.E., Ambrosone, C.B., Aldrich, M., Amiano, P., Amos, C., Andersson, U., Gerald Andriole, G.A., Jr., Andrulis, I.L., Arici, C., Arslan, A.A., Austin, M.A., Baris, D., Barkauskas, D.A., Bassig, B.A., Freeman, L.E.B., Berg, C.D., Berndt, S.I., Bertazzi, P.A., Biritwum, R.B., Black, A., Blot, W., Boeing, H., Boffetta, P., Bolton, K., Boutron-Ruault, M.-C., Bracci, P.M., Brennan, P., Brinton, L.A., Brotzman, M., Bueno-de-Mesquita, H.B., Buring, J.E., Butler, M.A., Cai, Q., Cancel-Tassin, G., Canzian, F., Cao, G., Caporaso, N.E., Carrato, A., Carreon, T., Carta, A., Chang, G.-C., Chang, I.-S., Chang-Claude, J., Che, X., Chen, C.-J., Chen, C.-Y., Chen, C.-H., Chen, C., Chen, K.-Y., Chen, Y.-M., Chokkalingam, A.P., Chu, L.W., Clavel-Chapelon, F., Colditz, G.A., Colt, J.S., Conti, D., Cook, M.B., Cortessis, V.K., Crawford, E.D., Cussenot, O., Davis, F.G., De Vivo, I., Deng, X., Ding, T., Dinney, C.P., Di Stefano, A.L., Diver, W.R., Duell, E.J., Elena, J.W., Fan, J.-H., Feigelson, H.S., Feychting, M., Figueroa, J.D., Flanagan, A.M., Fraumeni, J.F., Jr., Freedman, N.D., Fridley, B.L., Fuchs, C.S., Gago-Dominguez, M., Gallinger, S., Gao, Y.-T., Gapstur, S.M., Garcia-Closas, M., Garcia-Closas, R., Gastier-Foster, J.M., Gaziano, J.M., Gerhard, D.S., Giffen, C.A., Giles, G.G., Gillanders, E.M., Giovannucci, E.L., Goggins, M., Gokgoz, N., Goldstein, A.M., Gonzalez, C., Gorlick, R., Greene, M.H., Gross, M., Grossman, H.B., Grubb, R., III and Gu, J., Guan, P., Haiman, C.A., Hallmans, G., Hankinson, S.E., Harris, C.C., Hartge, P., Hattinger, C., Hayes, R.B., He, Q., Helman, L., Henderson, B.E., Henriksson, R., Hoffman-Bolton, J., Hohensee, C., Holly, E.A., Hong, Y.-C., Hoover, R.N., Dean Hosgood, H., Hsiao, C.-F., Hsing, A.W., Hsiung, C.A., Hu, N., Hu, W., Hu, Z., Huang, M.-S., Hunter, D.J., Inskip, P.D., Ito, H., Jacobs, E.J., Jacobs, K.B., Jenab, M., Ji, B.-T., Johansen, C., Johansson, M., Johnson, A., Kaaks, R., Kamat, A.M., Kamineni, A., Karagas, M., Khanna, C., Khaw, K.-T., Kim, C., Kim, I.-S., Kim, J.H., Kim, Y.H., Kim, Y.-C., Kim, Y.T., Kang, C.H., Jung, Y.J., Kitahara, C.M., Klein, A.P., Klein, R., Kogevinas, M., Koh, W.-P., Kohno, T., Kolonel, L.N., Kooperberg, C., Kratz, C.P., Krogh, V., Kunitoh, H., Kurtz, R.C., Kurucu, N., Lan, Q., Lathrop, M., Lau, C.C., Lecanda, F., Lee, K.-M., Lee, M.P., Marchand, L.L., Lerner, S.P., Li, D., Liao, L.M., Lim, W.-Y., Lin, D., Lin, J., Lindstrom, S., Linet, M.S., Lissowska, J., Liu, J., Ljungberg, B., Lloreta, J., Lu, D., Ma, J., Malats, N., Mannisto, S., Marina, N., Mastrangelo, G., Matsuo, K., McGlynn, K.A., McKean-Cowdin, R., McNeil, L.H., McWilliams, R.R., Melin, B.S., Meltzer, P.S., Mensah, J.E., Miao, X., Michaud, D.S., Mondul, A.M., Moore, L.E., Muir, K., Niwa, S., Olson, S.H., Orr, N., Panico, S., Park, J.Y., Patel, A.V., Patino-Garcia, A., Pavanello, S., Peeters, P.H.M., Peplonska, B., Peters, U., Petersen, G.M., Picci, P., Pike, M.C., Porru, S., Prescott, J., Pu, X., Purdue, M.P., Qiao, Y.-L., Rajaraman, P., Riboli, E., Risch, H.A., Rodabough, R.J., Rothman, N., Ruder, A.M., Ryu, J.-S., Sanson, M., Schned, A., Schumacher, F.R., Schwartz, A.G., Schwartz, K.L., Schwenn, M., Scotlandi, K., Seow, A., Serra, C., Serra, M., Sesso, H.D., Severi, G., Shen, H., Shen, M., Shete, S., Shiraishi, K., Shu, X.-O., Siddiq, A., Sierrasesumaga, L., Sierri, S., Sihoe, A.D.L., Silverman, D.T., Simon, M., Southey, M.C., Spector, L., Spitz, M., Stampfer, M., Stattin, P., Stern, M.C., Stevens, V.L., Stolzenberg-Solomon, R.Z., Stram, D.O., Strom, S.S., Su, W.-C., Sund, M., Sung, S.W., Swerdlow, A., Tan, W., Tanaka, H., Tang, W., Tang, Z.-Z., Tardon, A., Tay, E., Taylor, P.R., Tettey, Y., Thomas, D.M., Tirabosco, R., Tjonneland, A., Tobias, G.S., Toro, J.R., Travis, R.C., Trichopoulos, D., Troisi, R., Truelove, A., Tsai, Y.-H., Tucker, M.A., Tumino, R., Van Den Berg, D., Van Den Eeden, S.K., Vermeulen, R., Vineis, P., Visvanathan, K., Vogel, U., Wang, C., Wang, J., Wang, S.S., Weiderpass, E., Weinstein, S.J., Wentzensen, N., Wheeler, W., White, E., Wiencke, J.K., Wolk, A., Wolpin, B.M., Wong, M.P., Wrensch, M., Wu, C., Wu, T., Wu, X., Wu, Y.-L., Wunder, J.S., Xiang, Y.-B., Xu, J., Yang, H.P., Yang, P.-C., Yatabe, Y., Ye, Y., Yeboah, E.D., Yin, Z., Ying, C., Yu, C.-J., Yu, K., Yuan, J.-M., Zanetti, K.A., Zeleniuch-Jacquotte, A., Zheng, W., Zhou, B., Mirabello, L., Savage, S.A., Kraft, P., Chanock, S.J., Yeager, M., Landi, M.T., Shi, J., Chatterjee, N., and Amundadottir, L.T.
- Subjects
Male ,SINGLE-NUCLEOTIDE POLYMORPHISM ,Genome-wide association study ,Epigenesis, Genetic ,Gene Frequency ,Molecular Biology ,Genetics ,Genetics (clinical) ,Neoplasms ,Odds Ratio ,Genome-wide association studies (GWAS) ,Telomerase ,DNA METHYLATION Author Information ,Association Studies Articles ,General Medicine ,PANCREATIC-CANCER ,PROSTATE-CANCER ,Neoplasm Proteins ,POSTMENOPAUSAL BREAST-CANCER ,TERT PROMOTER MUTATIONS ,Gene Expression Regulation, Neoplastic ,2 SUSCEPTIBILITY LOCI ,DNA methylation ,Chromosomes, Human, Pair 5 ,Female ,Risk ,Locus (genetics) ,Single-nucleotide polymorphism ,TERT and CLPTM1L gene ,Biology ,Polymorphism, Single Nucleotide ,LUNG-CANCER ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Allele ,Gene ,Allele frequency ,Alleles ,Genetic association ,chromosome 5p15.33 ,Computational Biology ,Membrane Proteins ,DNA Methylation ,Genetic Loci ,TELOMERE LENGTH ,Genome-Wide Association Study - Abstract
Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 x 10(-39); Region 3: rs2853677, P = 3.30 x 10(-36) and PConditional = 2.36 x 10(-8); Region 4: rs2736098, P = 3.87 x 10(-12) and PConditional = 5.19 x 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 x 10(-6); and Region 6: rs10069690, P = 7.49 x 10(-15) and PConditional = 5.35 x 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 x 10(-18) and PConditional = 7.06 x 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
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- 2014
16. Meeting report: Considerations for trial design and endpoints in licensing therapeutic HPV16/18 vaccines to prevent cervical cancer.
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Dull PM, Achilles SL, Ahmed R, Barnabas RV, Campos NG, Chirgwin K, Cohen JA, de Sanjosé S, Doorbar J, Einstein MH, Emerson CI, Gottlieb SL, Hildesheim A, Qiao Y, Ruff P, Sampson JN, Sasieni P, Schiffman M, Shin H, Stanley MA, Trimble CL, Wentzensen N, Riemer AB, Schiller JT, and Kreimer AR
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- Female, Humans, Clinical Trials as Topic, Human papillomavirus 16 immunology, Human papillomavirus 16 pathogenicity, Human papillomavirus 18 immunology, Licensure legislation & jurisprudence, Research Design, Vaccination legislation & jurisprudence, Papillomavirus Infections prevention & control, Papillomavirus Vaccines immunology, Papillomavirus Vaccines administration & dosage, Uterine Cervical Neoplasms prevention & control, Uterine Cervical Neoplasms virology
- Abstract
Cervical cancer is a major cause of morbidity and mortality globally with a disproportionate impact on women in low- and middle-income countries. In 2021, the World Health Organization (WHO) called for increased vaccination, screening, and treatment to eliminate cervical cancer. However, even with widespread rollout of human papillomavirus (HPV) prophylactic vaccines, millions of women who previously acquired HPV infections will remain at risk for progression to cancer for decades to come. The development and licensing of an affordable, accessible therapeutic HPV vaccine, designed to clear or control carcinogenic HPV and/or to induce regression precancer could significantly contribute to the elimination efforts, particularly benefiting those who missed out on the prophylactic vaccine. One barrier to development of such vaccines is clarity around the regulatory pathway for licensure. In Washington, D.C. on September 12-13, 2023, a meeting was convened to provide input and guidance on trial design with associated ethical and regulatory considerations. This report summarizes the discussion and conclusions from the meeting. Expert presentation topics included the current state of research, potential regulatory challenges, WHO preferred product characteristics, modeling results of impact of vaccine implementation, epidemiology and natural history of HPV infection, immune responses related to viral clearance and/or precancer regression including potential biomarkers, and ethical considerations. Panel discussions were held to explore specific trial design recommendations to support the licensure process for two vaccine indications: (1) treatment of prevalent HPV infection or (2) treatment of cervical precancers. Discussion covered inclusion/exclusion criteria, study endpoints, sample size and power, safety, study length, and additional data needed, which are reported here. Further research of HPV natural history is needed to address identified gaps in regulatory guidance, especially for therapeutic vaccines intended to treat existing HPV infections., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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17. Quantitative measures of recent and lifetime agricultural pesticide use are associated with increased pesticide concentrations in house dust.
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Xie S, Hofmann JN, Sampson JN, Josse PR, Madrigal JM, Chang VC, Deziel NC, Andreotti G, Keil AP, Ward MH, Beane Freeman LE, and Friesen MC
- Abstract
Objective: Elevated pesticide concentrations have been found in dust from homes with residents who use agricultural pesticides, but few studies have compared these concentrations to quantitative measures of their use. We evaluated household pesticide dust concentrations in relation to quantitative, active ingredient-specific metrics of agricultural pesticide use in the Biomarkers of Exposure and Effect in Agriculture Study., Methods: Participants provided vacuum dust samples (2013-2018) and information regarding recent (last 12 months) and lifetime pesticide use. Thirty-two pesticide analytes were measured in 295 dust samples from 213 participants; 54 had repeated measurements (median = 96 days between visits). We used mixed-effects quantile regression models to estimate relative differences in pesticide concentrations for recent and lifetime agricultural use (number of days, intensity-weighted days), recent home/garden use (yes/no), and household characteristics. Only household characteristics were examined for dacthal because of no use information. We calculated intraclass correlation coefficients (ICCs) to evaluate temporal variability. We report only descriptive statistics for pesticides with detection rates <25 %., Results: For currently used pesticides, quantitative measures of recent agricultural use were associated with significantly increased household pesticide dust concentrations for malathion, metolachlor, acetochlor, cyfluthrin, and atrazine (p-trends < 0.001), but not permethrin. Similarly, quantitative measures of lifetime use were associated with increased concentrations of malathion, metolachlor, carbaryl, diazinon, and atrazine (p-trends < 0.001), but not permethrin, chlorpyrifos, or chlorothalonil. For banned pesticides, ever agricultural use was associated with elevated chlordane and heptachlor concentrations and non-significantly elevated dieldrin concentrations, but not lindane, p,p-DDD, p,p-DDE, or p,p-DDT. Recent home/garden use predicted increased malathion, carbaryl, and cyfluthrin concentrations. ICCs (range = 0.57-0.90) suggested moderate to high correlation over 3-6 months. Detection rates were <25 % for alachlor, butylate, EPTC, metribuzin, simazine, carbofuran, coumaphos, as well as for three banned pesticides (cyanazine, aldrin, endosulfan)., Conclusions: Household pesticide dust concentrations were strongly associated with the frequency of agricultural pesticide use., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Ltd.)
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- 2024
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18. Community intervention of a single-dose or 2-dose regimen of bivalent human papillomavirus vaccine in schoolgirls in Thailand: vaccine effectiveness 2 years and 4 years after vaccination.
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Jiamsiri S, Rhee C, Ahn HS, Seo HW, Klinsupa W, Park S, Lee J, Premsri N, Namwat C, Silaporn P, Excler JL, Kim DR, Chon Y, Sampson JN, Nilyanimit P, Vongpunsawad S, Poudyal N, Markowitz LE, Panicker G, Unger ER, Rerks-Ngarm S, Poovorawan Y, and Lynch J
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- Humans, Female, Thailand epidemiology, Adolescent, Cross-Sectional Studies, Vaccine Efficacy, Vaccination, Prevalence, Papillomavirus Vaccines administration & dosage, Papillomavirus Infections prevention & control, Papillomavirus Infections epidemiology, Papillomavirus Infections virology
- Abstract
Background: With accumulating evidence of single-dose human papillomavirus (HPV) vaccine efficacy in young women, we conducted a community vaccine effectiveness study comparing HPV single-dose and 2-dose regimens (0 and 6 months) of a bivalent HPV vaccine among grade 8 schoolgirls (aged 13-14 years) in Thailand., Methods: In 2018, eligible grade 8 schoolgirls in Udon Thani (single dose) and Buri Ram (2 doses) provinces were offered HPV vaccine per assigned dose regimen. Concurrently, a cross-sectional survey for measuring baseline HPV prevalence was conducted in grade 10 (n = 2600) and grade 12 unvaccinated schoolgirls (n = 2000) in each province. HPV infection was assessed in first-void urine samples, tested by DNA polymerase chain reaction on the cobas 4800 system (Roche Molecular Diagnostics, Pleasanton, CA). All samples positive on the cobas system and an equal number of negative samples were also tested by Anyplex II HPV28 Detection (Seegene, Seoul, South Korea). The surveys were repeated in 2020 and 2022, when vaccinated grade 8 schoolgirls reached grade 10, and then subsequently grade 12, respectively. Vaccine effectiveness was estimated by comparing the weighted prevalence of HPV-16 or HPV-18 between grade-matched unvaccinated schoolgirls on the baseline survey (2018) and vaccinated schoolgirls in the year-2 (2020) and year-4 (2022) surveys. Adjustment methods were used in the analysis to account for potential differences in sexual behavior due to the noncontemporaneous comparison., Results: The prevalence of HPV-16 and HPV-18 on the baseline survey among unvaccinated grade 10/grade 12 schoolgirls was 2.90% (95% confidence interval [CI] = 2.54% to 3.31%)/3.98% (95% CI = 3.52% to 4.49%) for Udon Thani and 3.87% (95% CI = 3.46% to 4.34%)/6.13% (95% CI = 5.56% to 6.75%) for Buri Ram. On the year-2 survey, the prevalence among vaccinated grade 10 schoolgirls was 0.57% (95% CI = 0.42% to 0.77%) for Udon Thani and 0.31% (95% CI = 0.21% to 0.47%) for Buri Ram. The 2-year postvaccination crude vaccine effectiveness for the single-dose regimen was estimated at 80.4% (95% CI = 73.9% to 86.9%), and for the 2-dose regimen at 91.9% (95% CI = 88.5% to 95.4%). On the year-4 survey, the prevalence among vaccinated grade 12 schoolgirls was 0.37% (95% CI = 0.25% to 0.56%) for Udon Thani and 0.28% (95% CI = 0.18% to 0.45%) for Buri Ram. Four-year postvaccination crude vaccine effectiveness for the single-dose regimen was estimated at 90.6% (95% CI = 86.6% to 94.6%) and for the 2-dose regimen was estimated at 95.4% (95% CI = 93.2% to 97.6%). All adjustment methods minimally affected vaccine effectiveness for the single-dose and 2-dose regimens. At 4 years after vaccination, the difference in crude vaccine effectiveness between the single-dose and 2-dose regimens was ‒4.79% (95% CI = ‒9.32% to ‒0.25%), meeting the study's noninferiority criteria., Conclusions: Our study demonstrated that both single-dose and 2-dose HPV vaccination significantly decreased HPV-16/18 point prevalence 2 years and 4 years after vaccination. Crude vaccine effectiveness at 4 years after vaccination was greater than 90% for both the single-dose and 2-dose regimens; the single-dose regimen was not inferior to the 2-dose regimen. These data show that a single dose of HPV vaccine provides high levels of protection when administered to schoolgirls younger than 15 years of age., (© The Author(s) 2024. Published by Oxford University Press.)
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- 2024
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19. Serum concentrations of per- and polyfluorinated substances and risk of B-cell non-Hodgkin lymphoma.
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Rhee J, Koponen J, Sampson JN, Keil AP, Ward MH, Hofmann JN, Huang WY, Silverman DT, Rantakokko P, and Purdue MP
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- Humans, Middle Aged, Male, Female, Aged, Case-Control Studies, Aged, 80 and over, Environmental Pollutants blood, Lymphoma, B-Cell blood, Alkanesulfonic Acids blood, Environmental Exposure statistics & numerical data, Odds Ratio, Lymphoma, Non-Hodgkin blood, Lymphoma, Non-Hodgkin epidemiology, Sulfonic Acids blood, Fluorocarbons blood
- Abstract
Per- and polyfluoroalkyl substances (PFAS) are persistent organic pollutants that are detectable in the serum of most U.S. adults. Some studies of highly-exposed individuals have suggested positive associations between PFAS and B-cell non-Hodgkin lymphoma (B-NHL). To investigate whether associations exist at lower exposure levels, we conducted a nested case-control study investigating serum PFAS concentrations and B-NHL within the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. We measured pre-diagnostic serum concentrations of five PFAS among 706 cases (age at diagnosis = 55-93 years, median 73 years) and 706 controls individually matched on age at blood draw, sex, self-reported race and ethnicity, study center, and year of blood collection (the median follow-up years = 10). We estimated odds ratios (ORs) and 95 % confidence intervals (CIs) for PFAS concentrations in relation to B-NHL, both overall and for selected histologic subtypes [diffuse large B cell lymphoma (DLBCL), follicular lymphoma (FL), and marginal zone lymphoma (MZL)] using conditional logistic regression. We found no evidence of a positive association with B-NHL for any of the five PFAS. In analyses of histologic subtypes, perfluorohexane sulfonate (PFHxS) was significantly associated with DLBCL in a model adjusting for all other PFAS (OR for highest vs. lowest quintile = 2.19, 95 % CI = 1.21, 3.95; P
trend = 0.02), but not in a model without mutual adjustment (OR = 1.37, 95 % CI = 0.82, 2.29; Ptrend = 0.26). We also observed an inverse association between perfluorononanoate and DLBCL (mutually-adjusted OR = 0.83, 95 % CI = 0.69, 0.99 per doubling in concentration), although the association was null among participants with blood drawn prior to 1997 (OR<1997 = 1.00, 95 % CI = 0.82, 1.21; OR≥1997 = 0.65, 95 % CI = 0.53, 0.79; Pinteraction = 0.0003). In conclusion, our findings from a prospective cohort study with PFAS serum concentrations comparable to that of the general population do not support an association with increased risk of B-NHL overall. The suggestive evidence of a positive association between PFHxS and DLBCL warrants further investigation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Ltd.)- Published
- 2024
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20. Mediation analysis using incomplete information from publicly available data sources.
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Derkach A, Kantor ED, Sampson JN, and Pfeiffer RM
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- Humans, United States epidemiology, Risk Factors, Computer Simulation, Aspirin therapeutic use, Incidence, Registries, Health Status Disparities, White People statistics & numerical data, Female, Black or African American statistics & numerical data, Information Sources, Colorectal Neoplasms ethnology, Colorectal Neoplasms epidemiology, Mediation Analysis
- Abstract
Our work was motivated by the question whether, and to what extent, well-established risk factors mediate the racial disparity observed for colorectal cancer (CRC) incidence in the United States. Mediation analysis examines the relationships between an exposure, a mediator and an outcome. All available methods require access to a single complete data set with these three variables. However, because population-based studies usually include few non-White participants, these approaches have limited utility in answering our motivating question. Recently, we developed novel methods to integrate several data sets with incomplete information for mediation analysis. These methods have two limitations: (i) they only consider a single mediator and (ii) they require a data set containing individual-level data on the mediator and exposure (and possibly confounders) obtained by independent and identically distributed sampling from the target population. Here, we propose a new method for mediation analysis with several different data sets that accommodates complex survey and registry data, and allows for multiple mediators. The proposed approach yields unbiased causal effects estimates and confidence intervals with nominal coverage in simulations. We apply our method to data from U.S. cancer registries, a U.S.-population-representative survey and summary level odds-ratio estimates, to rigorously evaluate what proportion of the difference in CRC risk between non-Hispanic Whites and Blacks is mediated by three potentially modifiable risk factors (CRC screening history, body mass index, and regular aspirin use)., (© 2024 John Wiley & Sons Ltd.)
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- 2024
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21. Associations of serum trimethylamine N-oxide and its precursors with colorectal cancer risk in the Prostate, Lung, Colorectal, Ovarian Cancer Screening Trial Cohort.
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Byrd DA, Zouiouich S, Karwa S, Li XS, Wang Z, Sampson JN, Loftfield E, Huang WY, Hazen SL, and Sinha R
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- Humans, Male, Female, Middle Aged, Aged, Prospective Studies, Carnitine blood, Ovarian Neoplasms blood, Ovarian Neoplasms epidemiology, Lung Neoplasms blood, Lung Neoplasms epidemiology, Case-Control Studies, Betaine blood, Risk Factors, Gastrointestinal Microbiome, Methylamines blood, Colorectal Neoplasms blood, Colorectal Neoplasms epidemiology, Prostatic Neoplasms blood, Prostatic Neoplasms epidemiology, Prostatic Neoplasms diagnosis, Choline blood, Early Detection of Cancer methods
- Abstract
Background: Dietary intake influences gut microbiome composition, which in turn may be associated with colorectal cancer (CRC). Associations of the gut microbiome with colorectal carcinogenesis may be mediated through bacterially regulated, metabolically active metabolites, including trimethylamine N-oxide (TMAO) and its precursors, choline, L-carnitine, and betaine., Methods: Prospective associations of circulating TMAO and its precursors with CRC risk were investigated. TMAO, choline, betaine, and L-carnitine were measured in baseline serum samples from 761 incident CRC cases and 1:1 individually matched controls in the prospective Prostate, Lung, Colorectal, Ovarian Cancer Screening Trial Cohort using targeted fully quantitative liquid chromatography tandem mass spectrometry panels. Prospective associations of the metabolites with CRC risk, using multivariable conditional logistic regression, were measured. Associations of a priori-selected dietary exposures with the four metabolites were also investigated., Results: TMAO and its precursors were not associated with CRC risk overall, but TMAO and choline were positively associated with higher risk for distal CRC (continuous OR
Q90 vs. Q10 [95% CI] = 1.90 [CI, 1.24-2.92; p = .003] and 1.26 [1.17-1.36; p < .0001], respectively). Conversely, choline was inversely associated with rectal cancer (ORQ90 vs. Q10 [95% CI] = 0.77 [0.76-0.79; p < .001]). Red meat, which was previously associated with CRC risk in the Prostate, Lung, Colorectal, Ovarian Cancer Screening Trial Cohort , was positively associated with TMAO (Spearman rho = 0.10; p = .0003)., Conclusions: Serum TMAO and choline may be associated with higher risk of distal CRC, and red meat may be positively associated with serum TMAO. These findings provide insight into a potential microbially mediated mechanism underlying CRC etiology., (© 2024 American Cancer Society.)- Published
- 2024
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22. Polygenic risk scores, radiation treatment exposures and subsequent cancer risk in childhood cancer survivors.
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Gibson TM, Karyadi DM, Hartley SW, Arnold MA, Berrington de Gonzalez A, Conces MR, Howell RM, Kapoor V, Leisenring WM, Neglia JP, Sampson JN, Turcotte LM, Chanock SJ, Armstrong GT, and Morton LM
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- Humans, Child, Female, Middle Aged, Genetic Risk Score, Genome-Wide Association Study, Risk Factors, Cancer Survivors, Neoplasms epidemiology, Neoplasms genetics, Neoplasms radiotherapy, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Breast Neoplasms radiotherapy, Carcinoma, Basal Cell, Thyroid Neoplasms epidemiology, Thyroid Neoplasms genetics, Skin Neoplasms
- Abstract
Survivors of childhood cancer are at increased risk for subsequent cancers attributable to the late effects of radiotherapy and other treatment exposures; thus, further understanding of the impact of genetic predisposition on risk is needed. Combining genotype data for 11,220 5-year survivors from the Childhood Cancer Survivor Study and the St Jude Lifetime Cohort, we found that cancer-specific polygenic risk scores (PRSs) derived from general population, genome-wide association study, cancer loci identified survivors of European ancestry at increased risk of subsequent basal cell carcinoma (odds ratio per s.d. of the PRS: OR = 1.37, 95% confidence interval (CI) = 1.29-1.46), female breast cancer (OR = 1.42, 95% CI = 1.27-1.58), thyroid cancer (OR = 1.48, 95% CI = 1.31-1.67), squamous cell carcinoma (OR = 1.20, 95% CI = 1.00-1.44) and melanoma (OR = 1.60, 95% CI = 1.31-1.96); however, the association for colorectal cancer was not significant (OR = 1.19, 95% CI = 0.94-1.52). An investigation of joint associations between PRSs and radiotherapy found more than additive increased risks of basal cell carcinoma, and breast and thyroid cancers. For survivors with radiotherapy exposure, the cumulative incidence of subsequent cancer by age 50 years was increased for those with high versus low PRS. These findings suggest a degree of shared genetic etiology for these malignancy types in the general population and survivors, which remains evident in the context of strong radiotherapy-related risk., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)
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- 2024
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23. Measuring diet by metabolomics: a 14-d controlled feeding study of weighed food intake.
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Playdon MC, Tinker LF, Prentice RL, Loftfield E, Hayden KM, Van Horn L, Sampson JN, Stolzenberg-Solomon R, Lampe JW, Neuhouser ML, and Moore SC
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- Female, Humans, Biomarkers, Dietary Supplements, Eating, Fasting, Vitamins, Diet, Metabolomics methods
- Abstract
Background: Metabolomics has the potential to enhance dietary assessment by revealing objective measures of many aspects of human food intake. Although metabolomics studies indicate that hundreds of metabolites are associated with dietary intake, correlations have been modest (e.g., r < 0.50), and few have been evaluated in controlled feeding studies., Objectives: The aim of this study was to evaluate associations between metabolites and weighed food and beverage intake in a controlled feeding study of habitual diet., Methods: Healthy postmenopausal females from the Women's Health Initiative (N = 153) were provided with a customized 2-wk controlled diet designed to emulate their usual diet. Metabolites were measured by liquid chromatography tandem mass spectrometry in end-of-study 24-h urine and fasting serum samples (1293 urine metabolites; 1113 serum metabolites). We calculated partial Pearson correlations between these metabolites and intake of 65 food groups, beverages, and supplements during the feeding study. The threshold for significance was Bonferroni-adjusted to account for multiple testing (5.94 × 10
-07 for urine metabolites; 6.91 × 10-07 for serum metabolites)., Results: Significant diet-metabolite correlations were identified for 23 distinct foods, beverages, and supplements (171 distinct metabolites). Among foods, strong metabolite correlations (r ≥ 0.60) were evident for citrus (highest r = 0.80), dairy (r = 0.65), and broccoli (r = 0.63). Among beverages and supplements, strong correlations were evident for coffee (r = 0.86), alcohol (r = 0.69), multivitamins (r = 0.69), and vitamin E supplements (r = 0.65). Moderate correlations (r = 0.50-0.60) were also observed for avocado, fish, garlic, grains, onion, poultry, and black tea. Correlations were specific; each metabolite correlated with one food, beverage, or supplement, except for metabolites correlated with juice or multivitamins., Conclusions: Metabolite levels had moderate to strong correlations with weighed intake of habitually consumed foods, beverages, and supplements. These findings exceed in magnitude those previously observed in population studies and exemplify the strong potential of metabolomics to contribute to nutrition research. The Women's Health Initiative is registered at clinicaltrials.gov as NCT00000611., (Copyright © 2023. Published by Elsevier Inc.)- Published
- 2024
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24. A metabolomic investigation of serum perfluorooctane sulfonate and perfluorooctanoate.
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Rhee J, Loftfield E, Albanes D, Layne TM, Stolzenberg-Solomon R, Liao LM, Playdon MC, Berndt SI, Sampson JN, Freedman ND, Moore SC, and Purdue MP
- Subjects
- Humans, Case-Control Studies, Environmental Exposure, Alkanesulfonic Acids blood, Caprylates blood, Environmental Pollutants blood, Fluorocarbons blood, Metabolomics
- Abstract
Background: Exposures to perfluorooctane sulfonate (PFOS) and perfluorooctanoate (PFOA), environmentally persistent chemicals detectable in the blood of most Americans, have been associated with several health outcomes. To offer insight into their possible biologic effects, we evaluated the metabolomic correlates of circulating PFOS and PFOA among 3,647 participants in eight nested case-control serum metabolomic profiling studies from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial., Methods: Metabolomic profiling was conducted by Metabolon Inc., using ultra high-performance liquid chromatography/tandem accurate mass spectrometry. We conducted study-specific multivariable linear regression analyses estimating the associations of metabolite levels with levels of PFOS or PFOA. For metabolites measured in at least 3 of 8 nested case-control studies, random effects meta-analysis was used to summarize study-specific results (1,038 metabolites in PFOS analyses and 1,100 in PFOA analyses)., Results: The meta-analysis identified 51 and 38 metabolites associated with PFOS and PFOA, respectively, at a Bonferroni-corrected significance level (4.8x10
-5 and 4.6x10-5 , respectively). For both PFOS and PFOA, the most common types of associated metabolites were lipids (sphingolipids, fatty acid metabolites) and xenobiotics (xanthine metabolites, chemicals). Positive associations were commonly observed with lipid metabolites sphingomyelin (d18:1/18:0) (P = 2.0x10-10 and 2.0x10-8 , respectively), 3-carboxy-4-methyl-5-pentyl-2-furanpropionate (P = 2.7x10-15 , 1.1x10-17 ), and lignoceroylcarnitine (C24) (P = 2.6x10-8 , 6.2x10-6 ). The strongest positive associations were observed for chemicals 3,5-dichloro-2,6-dihydroxybenzoic acid (P = 3.0x10-112 and 6.8x10-13 , respectively) and 3-bromo-5-chloro-2,6-dihydroxybenzoic acid (P = 1.6x10-14 , 2.3x10-6 ). Other metabolites positively associated with PFOS included D-glucose (carbohydrate), carotene diol (vitamin A metabolism), and L-alpha-aminobutyric acid (glutathione metabolism), while uric acid (purine metabolite) was positively associated with PFOA. PFOS associations were consistent even after adjusting for PFOA as a covariate, while PFOA associations were greatly attenuated with PFOS adjustment., Conclusions: In this large metabolomic study, we observed robust positive associations with PFOS for several molecules. Further investigation of these metabolites may offer insight into PFOS-related biologic effects., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Ltd.)- Published
- 2023
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25. The Influence of Preanalytical Biospecimen Handling on the Measurement of B Vitamers, Amino Acids, and Other Metabolites in Blood.
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Michels KA, Weinstein SJ, Albert PS, Black A, Brotzman M, Diaz-Mayoral NA, Gerlanc N, Huang WY, Sampson JN, Shreves A, Ueland PM, Wyatt K, Wentzensen N, and Abnet CC
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- Adult, Humans, Cohort Studies, Plasma chemistry, Biomarkers analysis, Blood Specimen Collection methods, Amino Acids
- Abstract
Introduction: Sample handling can influence biomarker measurement and introduce variability when combining data from multiple studies or study sites. To inform the development of blood collection protocols within a multisite cohort study, we directly quantified concentrations of 54 biomarkers in blood samples subjected to different handling conditions. Materials and Methods: We obtained serum, lithium heparin plasma, and EDTA plasma from 20 adult volunteers. Tubes of chilled whole blood were either centrifuged and processed within 2 hours of collection (the "reference standard") or were stored with cool packs for 24 or 48 hours; centrifuged before and/or after this delay; or collected in tubes with/without gel separators. We used linear mixed models with random intercepts to estimate geometric mean concentrations and relative percent differences across the conditions. Results: Compared to the reference standard tubes, concentrations of many biomarkers changed after processing delays, but changes were often small. In serum, we observed large differences for B vitamers, glutamic acid (37% and 73% increases with 24- and 48-hour delays, respectively), glycine (12% and 23% increases), serine (16% and 27% increases), and acetoacetate (-19% and -26% decreases). Centrifugation timing and separator tube use did not affect concentrations of most biomarkers. Conclusion: Sample handling should be consistent across samples within an analysis. The length of processing delays should be recorded and accounted for when this is not feasible.
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- 2023
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26. Serum concentrations of per- and polyfluoroalkyl substances and risk of renal cell carcinoma in the Multiethnic Cohort Study.
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Rhee J, Chang VC, Cheng I, Calafat AM, Botelho JC, Shearer JJ, Sampson JN, Setiawan VW, Wilkens LR, Silverman DT, Purdue MP, and Hofmann JN
- Subjects
- Adult, Humans, Male, Case-Control Studies, Cohort Studies, Female, Alkanesulfonic Acids, Caprylates, Carcinoma, Renal Cell epidemiology, Environmental Pollutants, Fluorocarbons, Kidney Neoplasms epidemiology
- Abstract
Per- and polyfluoroalkyl substances (PFAS) are environmentally persistent organic pollutants detectable in the serum of most U.S. adults. We previously reported a positive association between serum perfluorooctanoate (PFOA) concentrations and risk of renal cell carcinoma (RCC) within the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial, comprising predominantly White individuals enrolled in 1993-2001. To extend our investigations to a larger and more racially and ethnically diverse population, we conducted a nested case-control study of serum PFAS concentrations and RCC within the Multiethnic Cohort Study. We measured pre-diagnostic serum concentrations of nine PFAS among 428 RCC cases and 428 individually matched controls. We estimated odds ratios (ORs) and 95 % confidence intervals (CIs) for risk of RCC in relation to each PFAS using conditional logistic regression, adjusting for RCC risk factors and other PFAS. PFOA was not associated with RCC risk overall [doubling in serum concentration, OR
continuous = 0.89 (95 %CI = 0.67, 1.18)]. However, we observed suggestive positive associations among White participants [2.12 (0.87, 5.18)] and among participants who had blood drawn before 2002 [1.49 (0.77, 2.87)]. Furthermore, higher perfluorononanoate (PFNA) concentration was associated with increased risk of RCC overall [fourth vs. first quartile, OR = 1.84 (0.97, 3.50), Ptrend = 0.04; ORcontinuous = 1.29 (0.97, 1.71)], with the strongest association observed among African American participants [ORcontinuous = 3.69 (1.33, 10.25)], followed by Native Hawaiian [2.24 (0.70, 7.19)] and White [1.98 (0.92, 4.25)] participants. Most other PFAS were not associated with RCC. While PFOA was not associated with RCC risk overall in this racially and ethnically diverse population, the positive associations observed among White participants and those with sera collected before 2002 are consistent with previous PLCO findings. Our study also provided new evidence of a positive association between PFNA and RCC risk that was strongest in African American participants. These findings highlight the need for additional epidemiologic research investigating PFAS exposures and RCC in large racially and ethnically diverse populations., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Ltd.)- Published
- 2023
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27. Estimating human papillomavirus vaccine efficacy from a single-arm trial: proof-of-principle in the Costa Rica Vaccine Trial.
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Befano B, Campos NG, Egemen D, Herrero R, Schiffman M, Porras C, Lowy DR, Rodriguez AC, Schiller JT, Ocampo R, Hildesheim A, Sampson JN, Das S, Kreimer AR, and Cheung LC
- Subjects
- Female, Humans, Costa Rica epidemiology, Human papillomavirus 16, Human papillomavirus 18, Human Papillomavirus Viruses, Papillomaviridae, Randomized Controlled Trials as Topic, Papillomavirus Infections epidemiology, Papillomavirus Infections prevention & control, Papillomavirus Vaccines administration & dosage, Papillomavirus Vaccines adverse effects, Uterine Cervical Neoplasms epidemiology, Uterine Cervical Neoplasms prevention & control, Vaccine Efficacy
- Abstract
Background: The World Health Organization recommends a 1- or 2-dose human papillomavirus (HPV) vaccination schedule for females aged 9 to 20 years. Studies confirming the efficacy of a single dose and vaccine modifications are needed, but randomized controlled trials are costly and face logistical and ethical challenges. We propose a resource-efficient single-arm trial design that uses untargeted and unaffected HPV types as controls., Methods: We estimated HPV vaccine efficacy (VE) from a single arm by comparing 2 ratios: the ratio of the rate of persistent incident infection with vaccine-targeted HPV 16 and 18 (HPV 16/18) and cross-protected types HPV 31, 33, and 45 (HPV 31/33/45) to vaccine-unaffected types HPV 35, 39, 51, 52, 56, 58, 59, and 66 (HPV 35/39/51/52/56/58/59/66) vs the ratio of prevalence of these types at the time of trial enrollment. We compare VE estimates using only data from the bivalent HPV 16/18 vaccine arm of the Costa Rica Vaccine Trial with published VE estimates that used both the vaccine and control arms., Results: Our single-arm approach among 3727 women yielded VE estimates against persistent HPV 16/18 infections similar to published 2-arm estimates from the trial (according-to-protocol cohort: 91.0% , 95% CI = 82.9% to 95.3% [single-arm] vs 90.9% , 95% CI = 82.0% to 95.9% [2-arm]; intention-to-treat cohort: 41.7%, 95% CI = 32.4% to 49.8% [single-arm] vs 49.0% , 95% CI = 38.1% to 58.1% [2-arm]). VE estimates were also similar in analytic subgroups (number of doses received; baseline HPV serology status)., Conclusions: We demonstrate that a single-arm design yields valid VE estimates with similar precision to a randomized controlled trial. Single-arm studies can reduce the sample size and costs of future HPV vaccine trials while avoiding concerns related to unvaccinated control groups., Trial Registration: ClinicalTrials.gov Identifier: NCT00128661., (Published by Oxford University Press 2023.)
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- 2023
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28. A prospective nested case-control study of serum concentrations of per- and polyfluoroalkyl substances and aggressive prostate cancer risk.
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Rhee J, Barry KH, Huang WY, Sampson JN, Hofmann JN, Silverman DT, Calafat AM, Botelho JC, Kato K, Purdue MP, and Berndt SI
- Subjects
- Adult, Male, Humans, Prospective Studies, Case-Control Studies, Reproducibility of Results, Environmental Pollutants, Alkanesulfonic Acids, Fluorocarbons, Prostatic Neoplasms chemically induced, Prostatic Neoplasms epidemiology
- Abstract
Per- and polyfluoroalkyl substances (PFAS) are environmentally persistent organic pollutants detectable in the serum of most U.S. adults. Some studies of highly-exposed individuals have suggested an association between PFAS and prostate cancer, but evidence from population-based studies is limited. We investigated the association between pre-diagnostic serum PFAS concentrations and aggressive prostate cancer risk in a large prospective study. We measured pre-diagnostic serum concentrations of eight PFAS, including perfluorooctanoate (PFOA), for 750 aggressive prostate cancer cases and 750 individually matched controls within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. We assessed the reproducibility of PFAS concentrations in serial samples collected up to six years apart among 60 controls using intraclass correlation coefficients (ICCs). Conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association with prostate cancer, adjusting for other PFAS and potential confounders. Concentrations of most PFAS were consistent (ICC>0.7) across the serial samples over time. We observed an inverse association between PFOA and aggressive prostate cancer (OR
continuous = 0.79, 95% CI = 0.63, 0.99), but the association was limited to cases diagnosed ≤3 years after blood collection and became statistically non-significant for cases diagnosed with later follow-up (>3 years, ORcontinuous = 0.90, 95% CI = 0.79, 1.03). Other PFAS were not associated with aggressive prostate cancer risk. Although we cannot rule out an increased risk at higher levels, our findings from a population with PFAS serum concentrations comparable to the general population do not support an association with increased risk of aggressive prostate cancer., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Inc.)- Published
- 2023
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29. Lipidomics and pancreatic cancer risk in two prospective studies.
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Naudin S, Sampson JN, Moore SC, Albanes D, Freedman ND, Weinstein SJ, and Stolzenberg-Solomon R
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- Male, Humans, Prospective Studies, Risk Factors, Case-Control Studies, Fatty Acids, Lipidomics, Pancreatic Neoplasms epidemiology
- Abstract
Pancreatic ductal carcinoma (PDAC) is highly fatal with limited understanding of mechanisms underlying its carcinogenesis. We comprehensively investigated whether lipidomic measures were associated with PDAC in two prospective studies. We measured 904 lipid species and 252 fatty acids across 15 lipid classes in pre-diagnostic serum (up to 24 years) in a PDAC nested-case control study within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO, NCT00002540) with 332 matched case-control sets including 272 having serial blood samples and Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study (ATBC, NCT00342992) with 374 matched case-control sets. Controls were matched to cases by cohort, age, sex, race, and date at blood draw. We used conditional logistic regression to calculate odds ratios (OR) and 95% confidence intervals (CI) per one-standard deviation increase in log-lipid concentrations within each cohort, and combined ORs using fixed-effects meta-analyses. Forty-three lipid species were associated with PDAC (false discovery rate, FDR ≤ 0.10), including lysophosphatidylcholines (LPC, n = 2), phosphatidylethanolamines (PE, n = 17), triacylglycerols (n = 13), phosphatidylcholines (PC, n = 3), diacylglycerols (n = 4), monoacylglycerols (MAG, n = 2), cholesteryl esters (CE, n = 1), and sphingomyelins (n = 1). LPC(18:2) and PE(O-16:0/18:2) showed significant inverse associations with PDAC at the Bonferroni threshold (P value < 5.5 × 10
-5 ). The fatty acids LPC[18:2], LPC[16:0], PC[15:0], MAG[18:1] and CE[22:0] were significantly associated with PDAC (FDR < 0.10). Similar associations were observed in both cohorts. There was no significant association for the differences between PLCO serial lipidomic measures or heterogeneity by follow-up time overall. Results support that the pre-diagnostic serum lipidome, including 43 lipid species from 8 lipid classes and 5 fatty acids, is associated with PDAC., (© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)- Published
- 2023
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30. Increasing efficiency and reducing bias when assessing HPV vaccination efficacy by using nontargeted HPV strains.
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Etievant L, Sampson JN, and Gail MH
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- Humans, Bias, Incidence, Vaccination, Papillomavirus Infections prevention & control, Papillomavirus Infections complications, Papillomavirus Vaccines therapeutic use
- Abstract
Studies of vaccine efficacy often record both the incidence of vaccine-targeted virus strains (primary outcome) and the incidence of nontargeted strains (secondary outcome). However, standard estimates of vaccine efficacy on targeted strains ignore the data on nontargeted strains. Assuming nontargeted strains are unaffected by vaccination, we regard the secondary outcome as a negative control outcome and show how using such data can (i) increase the precision of the estimated vaccine efficacy against targeted strains in randomized trials and (ii) reduce confounding bias of that same estimate in observational studies. For objective (i), we augment the primary outcome estimating equation with a function of the secondary outcome that is unbiased for zero. For objective (ii), we jointly estimate the treatment effects on the primary and secondary outcomes. If the bias induced by the unmeasured confounders is similar for both types of outcomes, as is plausible for factors that influence the general risk of infection, then we can use the estimated efficacy against the secondary outcomes to remove the bias from estimated efficacy against the primary outcome. We demonstrate the utility of these approaches in studies of HPV vaccines that only target a few highly carcinogenic strains. In this example, using nontargeted strains increased precision in randomized trials modestly but reduced bias in observational studies substantially., (© 2022 The International Biometric Society.)
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- 2023
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31. Elevated 2,4-dichlorophenoxyacetic acid (2,4-D) herbicide concentrations in the household dust of farmers with recent occupational use.
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Xie S, Hofmann JN, Sampson JN, Josse PR, Andreotti G, Madrigal JM, Ward MH, Beane Freeman LE, and Friesen MC
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- Humans, Environmental Exposure analysis, Dust analysis, Farmers, Agriculture, 2,4-Dichlorophenoxyacetic Acid analysis, Herbicides analysis, Pesticides, Occupational Exposure analysis
- Abstract
Pesticide dust concentrations in homes have been previously associated with occupational and home/garden use of pesticides, hygiene practices, and other factors. This study evaluated the relationship between self-reported use of 2,4-dichlorophenoxyacetic acid (2,4-D) and house dust concentrations and these factors in the Biomarkers of Exposure and Effect in Agriculture (BEEA) Study, a molecular epidemiologic study of farmers in Iowa and North Carolina. The vacuum dust from the homes of 35 BEEA participants was analyzed for the presence of 2,4-D. Participants provided detailed information on occupational and home/garden pesticide use during the past 12 months and reported household characteristics via questionnaires. Linear regression models were used to examine the association between 2,4-D concentrations and four exposure metrics for occupational use in the last 12 months (yes/no, days since last use, days of use, intensity-weighted days of use), home/garden use (yes/no), as well as several household characteristics. 2,4-D was detected in all homes and was used occupationally by 54% of the participants. In a multi-variable model, compared to homes with no occupational or home/garden 2,4-D use reported in the past 12 months, concentrations were 1.6 (95% confidence interval (CI): 0.5, 4.9) times higher in homes with low occupational 2,4-D use (intensity-weighted days < median) and 3.1 (95% CI: 1.0, 9.8) times higher in homes of participants with high use (≥median intensity-weighted days) (p-trend = 0.06). Similar patterns were observed with other occupational metrics. Additionally, 2,4-D dust concentrations were non-significantly elevated (relative difference (RD) = 1.8, 95% CI: 0.5, 6.2) in homes with home/garden use and were significantly lower in homes that did not have carpets (RD = 0.20, 95% CI: 0.04, 0.98). These analyses suggest that elevated 2,4-D dust concentrations were associated with several metrics of recent occupational use and may be influenced by home/garden use and household characteristics.
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- 2023
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32. Residential proximity to dioxin emissions and risk of breast cancer in the sister study cohort.
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Rhee J, Medgyesi DN, Fisher JA, White AJ, Sampson JN, Sandler DP, Ward MH, and Jones RR
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- Humans, Female, Risk, Dibenzofurans, Polychlorinated, Dioxins analysis, Breast Neoplasms, Air Pollutants analysis, Polychlorinated Dibenzodioxins analysis
- Abstract
Some dioxins are carcinogenic, but few studies have investigated the relationship between ambient polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/F) and risk of breast cancer. We evaluated associations between proximity-based residential exposure to industrial emissions of PCDD/F and breast cancer risk in a large U.S. cohort. Sister Study participants at enrollment (2003-2009) were followed for incident breast cancer through September 2018. After restricting to participants with ≥10 years of residential history prior to enrollment (n = 35,908), we generated 10-year distance- and toxic equivalency quotient (TEQ)-weighted average emissions indices (AEI [g TEQ/km
2 ]) within 3, 5, or 10 km of participants' residences, overall and by facility type. Multivariable Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between AEI quartiles (vs. zero AEI) and risk of breast cancer [invasive or ductal carcinoma in situ]. There were 2670 incident breast cancer cases over 11 years (median) of follow-up. Breast cancer risk was increased for those in the highest quartile [Q] of AEI exposure within 3 km (HRQ4 :1.18, 95% CI: 0.99,1.40, Ptrend = 0.03). The HR was higher for the 10-year AEI at 3 km from municipal solid waste facilities (HR≥ median.vs.0 :1.50, 95% CI: 0.98, 2.29; Ptrend = 0.07). Risk was higher among ever smokers (vs. never smokers) in the top quartile of the 3 km AEI (HRQ4 :1.41, 95% CI:1.12,1.77, Ptrend = 0.003; Pinteraction = 0.03) and higher risk for ER negative tumors was suggested (HRQ4 :1.47, 95% CI: 0.95, 2.28, Ptrend = 0.07, Pheterogeneity = 0.17). Our findings suggest that residential exposure to PCDD/F emissions may confer an increased risk of breast cancer., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Inc.)- Published
- 2023
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33. Inflated expectations: Rare-variant association analysis using public controls.
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Kim J, Karyadi DM, Hartley SW, Zhu B, Wang M, Wu D, Song L, Armstrong GT, Bhatia S, Robison LL, Yasui Y, Carter B, Sampson JN, Freedman ND, Goldstein AM, Mirabello L, Chanock SJ, Morton LM, Savage SA, and Stewart DR
- Subjects
- Polymorphism, Single Nucleotide, Software, Motivation, High-Throughput Nucleotide Sequencing methods
- Abstract
The use of publicly available sequencing datasets as controls (hereafter, "public controls") in studies of rare variant disease associations has great promise but can increase the risk of false-positive discovery. The specific factors that could contribute to inflated distribution of test statistics have not been systematically examined. Here, we leveraged both public controls, gnomAD v2.1 and several datasets sequenced in our laboratory to systematically investigate factors that could contribute to the false-positive discovery, as measured by λΔ95, a measure to quantify the degree of inflation in statistical significance. Analyses of datasets in this investigation found that 1) the significantly inflated distribution of test statistics decreased substantially when the same variant caller and filtering pipelines were employed, 2) differences in library prep kits and sequencers did not affect the false-positive discovery rate and, 3) joint vs. separate variant-calling of cases and controls did not contribute to the inflation of test statistics. Currently available methods do not adequately adjust for the high false-positive discovery. These results, especially if replicated, emphasize the risks of using public controls for rare-variant association tests in which individual-level data and the computational pipeline are not readily accessible, which prevents the use of the same variant-calling and filtering pipelines on both cases and controls. A plausible solution exists with the emergence of cloud-based computing, which can make it possible to bring containerized analytical pipelines to the data (rather than the data to the pipeline) and could avert or minimize these issues. It is suggested that future reports account for this issue and provide this as a limitation in reporting new findings based on studies that cannot practically analyze all data on a single pipeline., Competing Interests: All authors have declared no competing interests., (Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.)
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- 2023
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34. Metabolomic Analysis of Renal Cell Carcinoma in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial.
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McClain KM, Sampson JN, Petrick JL, Mazzilli KM, Gerszten RE, Clish CB, Purdue MP, Lipworth L, and Moore SC
- Abstract
Background: In the US in 2021, 76,080 kidney cancers are expected and >80% are renal cell carcinomas (RCCs). Along with excess fat, metabolic dysfunction is implicated in RCC etiology. To identify RCC-associated metabolites, we conducted a 1:1 matched case−control study nested within the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Methods: We measured 522 serum metabolites in 267 cases/control pairs. Cases were followed for a median 7.1 years from blood draw to diagnosis. Using conditional logistic regression, we computed adjusted odds ratios (ORs) and 95% confidence intervals (CIs) comparing risk between 90th and 10th percentiles of log metabolite intensity, with the significance threshold at a false discovery rate <0.20. Results: Four metabolites were inversely associated with risk of RCC during follow-up—C38:4 PI, C34:0 PC, C14:0 SM, and C16:1 SM (ORs ranging from 0.33−0.44). Two were positively associated with RCC risk—C3-DC-CH3 carnitine and C5 carnitine (ORs = 2.84 and 2.83, respectively). These results were robust when further adjusted for metabolic risk factors (body mass index (BMI), physical activity, diabetes/hypertension history). Metabolites associated with RCC had weak correlations (|r| < 0.2) with risk factors of BMI, physical activity, smoking, alcohol, and diabetes/hypertension history. In mutually adjusted models, three metabolites (C38:4 PI, C14:0 SM, and C3-DC-CH3 carnitine) were independently associated with RCC risk. Conclusions: Serum concentrations of six metabolites were associated with RCC risk, and three of these had independent associations from the mutually adjusted model. These metabolites may point toward new biological pathways of relevance to this malignancy.
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- 2022
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35. Gene-Level Associations in Patients With and Without Pathogenic Germline Variants in CDKN2A and Pancreatic Cancer.
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Astiazaran-Symonds E, Graham C, Kim J, Tucker MA, Ingvar C, Helgadottir H, Pastorino L, van Doorn R, Sampson JN, Zhu B, Bruno W, Queirolo P, Fornarini G, Sciallero S, Carter B, Hicks B, Hutchinson A, Jones K, Stewart DR, Chanock SJ, Freedman ND, Landi MT, Höiom V, Puig S, Gruis N, Yang XR, Ghiorzo P, and Goldstein AM
- Subjects
- Humans, Genetic Predisposition to Disease genetics, Cyclin-Dependent Kinase Inhibitor Proteins genetics, Germ Cells pathology, Cyclin-Dependent Kinase Inhibitor p16 genetics, Pancreatic Neoplasms, Pancreatic Neoplasms genetics, Carcinoma, Pancreatic Ductal genetics
- Abstract
Purpose: Pancreatic ductal adenocarcinoma (PDAC) is a component of familial melanoma due to germline pathogenic variants (GPVs) in CDKN2A . However, it is unclear what role this gene or other genes play in its etiology., Materials and Methods: We analyzed 189 cancer predisposition genes using parametric rare-variant association (RVA) tests and nonparametric permutation tests to identify gene-level associations in PDAC for patients with ( CDKN2A + ) and without ( CDKN2A- ) GPV. Exome sequencing was performed on 84 patients with PDAC, 47 CDKN2A+ and 37 CDKN2A- . After variant filtering, various RVA tests and permutation tests were run separately by CDKN2A status. Genes with the strongest nominal associations were evaluated in patients with PDAC from The Cancer Genome Atlas and the UK Biobank (UKB). A secondary analysis including only GPV from UKB was also performed., Results: In RVA tests, ERCC4 and RET showed the most compelling evidence as plausible PDAC candidate genes for CDKN2A+ patients. In contrast, the findings in CDKN2A- patients provided evidence for HMBS , EPCAM , and MRE11 as potential new candidate genes and confirmed ATM, BRCA2 , and PALB2 as PDAC genes, consistent with findings in The Cancer Genome Atlas and the UKB. As expected, CDKN2A- patients were more likely to harbor GPVs from the 189 genes investigated. When including only GPVs from UKB, significant associations with PDAC were seen for ATM, BRCA2, and CDKN2A ., Conclusion: These results suggest that variants in other genes likely play a role in PDAC in all patients and that PDAC in CDKN2A+ patients has a distinct etiology from PDAC in CDKN2A- patients.
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- 2022
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36. Sources of Variability in Serum Lipidomic Measurements and Implications for Epidemiologic Studies.
- Author
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Naudin S, Sampson JN, Moore SC, and Stolzenberg-Solomon R
- Subjects
- Male, Female, Humans, Epidemiologic Studies, Case-Control Studies, Lipids, Lipidomics, Early Detection of Cancer
- Abstract
Epidemiological studies using lipidomic approaches can identify lipids associated with exposures and diseases. We evaluated the sources of variability of lipidomic profiles measured in blood samples and the implications when designing epidemiologic studies. We measured 918 lipid species in nonfasting baseline serum from 693 participants in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial, with 570 participants having serial blood samples separated by 1-5 years and 72 blinded replicate quality control samples. Blood samples were collected during 1993-2006. For each lipid species, we calculated the between-individual, within-individual, and technical variances, and we estimated the statistical power to detect associations in case-control studies. The technical variability was moderate, with a median intraclass correlation coefficient of 0.79. The combination of technical and within-individual variances accounted for most of the variability in 74% of the lipid species. For an average true relative risk of 3 (comparing upper and lower quartiles) after correction for multiple comparisons at the Bonferroni significance threshold (α = 0.05/918 = 5.45 ×10-5), we estimated that a study with 500, 1,000, and 5,000 total participants (1:1 case-control ratio) would have 19%, 57%, and 99% power, respectively. Epidemiologic studies examining associations between lipidomic profiles and disease require large samples sizes to detect moderate effect sizes associations., (© Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.)
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- 2022
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37. Rest-activity rhythms and cognitive impairment and dementia in older women: Results from the Women's Health Initiative.
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Xiao Q, Shadyab AH, Rapp SR, Stone KL, Yaffe K, Sampson JN, Chen JC, Hayden KM, Henderson VW, and LaCroix AZ
- Subjects
- Aged, Aging psychology, Female, Humans, Rest, Women's Health, Cognitive Dysfunction epidemiology, Cognitive Dysfunction psychology, Dementia epidemiology
- Abstract
Introduction: Growing evidence suggests that impairment in rest-activity rhythms may be a risk factor for cognitive decline and impairment in the aging population. However, previous studies included only a limited set of rest-activity metrics and produced mixed findings. We studied a comprehensive set of parametric and nonparametric characteristics of rest-activity rhythms in relation to mild cognitive impairment (MCI) and probable dementia in a cohort of older women., Methods: The prospective analysis included 763 women enrolled in two ancillary studies of the Women's Health Initiative (WHI): the WHI Memory Study-Epidemiology of Cognitive Health Outcomes and Objective Physical Activity and Cardiovascular Health studies. The association between accelerometry-based rest-activity parameters and centrally adjudicated MCI and probable dementia were determined using Cox regression models adjusted for sociodemographic characteristics, lifestyle factors, and comorbidities., Results: Overall, the results support a prospective association between weakened rest-activity rhythms (e.g., reduced amplitude and overall rhythmicity) and adverse cognitive outcomes. Specifically, reduced overall rhythmicity (pseudo F statistic), lower amplitude and activity level (amplitude/relative amplitude, mesor, and activity level during active periods of the day [M10]), and later activity timing (acrophase and midpoint of M10) were associated with a higher risk for MCI and probable dementia. Women with lower amplitude and mesor also exhibited faster cognitive decline over follow-up., Conclusion: Weakened rest-activity rhythms may be predictive markers for cognitive decline, MCI, and dementia among older women., (© 2022 The American Geriatrics Society.)
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- 2022
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38. Circulating Bile Acids and Adenoma Recurrence in the Context of Adherence to a High-Fiber, High-Fruit and Vegetable, and Low-Fat Dietary Intervention.
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Byrd DA, Gomez M, Hogue S, Murphy G, Sampson JN, Vogtmann E, Albert P, Freedman ND, Sinha R, and Loftfield E
- Subjects
- Humans, Vegetables, Fruit, Diet, Fat-Restricted, Bile Acids and Salts, RNA, Ribosomal, 16S, Neoplasm Recurrence, Local epidemiology, Neoplasm Recurrence, Local prevention & control, Dietary Fiber, Adenoma prevention & control, Colorectal Neoplasms prevention & control
- Abstract
Introduction: Diet may affect bile acid (BA) metabolism and signaling. In turn, BA concentrations may be associated with cancer risk. We investigated (i) associations of BA concentrations with adenoma recurrence and (ii) the effect of a high-fiber, high-fruit and vegetable, and low-fat dietary intervention on serum BA concentrations., Methods: The Polyp Prevention Trial is a 4-year randomized, controlled trial that investigated the effect of a high-fiber, high-fruit and vegetable, and low-fat diet on colorectal adenoma recurrence. Among 170 participants who reported adhering to the intervention and 198 comparable control arm participants, we measured 15 BAs in baseline, year 2, and year 3 serum using targeted, quantitative liquid chromatography-tandem mass spectrometry. We estimated associations of BAs with adenoma recurrence using multivariable logistic regression and the effect of the dietary intervention on BA concentrations using repeated-measures linear mixed-effects models. In a subset (N = 65), we investigated associations of BAs with 16S rRNA gene sequenced rectal tissue microbiome characteristics., Results: Baseline total BA concentrations were positively associated with adenoma recurrence (odds ratio Q3 vs Q1 = 2.17; 95% confidence interval = 1.19-4.04; Ptrend = 0.03). Although we found no effect of the dietary intervention on BA concentrations, pretrial dietary fiber intake was inversely associated with total baseline BAs (Spearman = -0.15; PFDR = 0.02). BA concentrations were associated with potential colorectal neoplasm-related microbiome features (lower alpha diversity and higher Bacteroides abundance)., Discussion: Baseline circulating BAs were positively associated with adenoma recurrence. Although the dietary intervention did not modify BA concentrations, long-term fiber intake may be associated with lower concentrations of BAs that are associated with higher risk of adenoma recurrence., (Copyright © 2022 Written work prepared by employees of the Federal Government as part of their official duties is, under the U.S. Copyright Act, a “work of the United States Government” for which copyright protection under Title 17 of the United States Code is not available. As such, copyright does not extend to the contributions of employees of the Federal Government.)
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- 2022
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39. Changes in physical activity and sedentary time in United States adults in response to COVID-19.
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Matthews CE, Saint-Maurice P, Fulton JE, Patel S, Loftfield E, Sampson JN, Keadle SK, and Berrigan D
- Subjects
- Adult, Aged, Exercise, Female, Humans, Longitudinal Studies, Male, Middle Aged, Pandemics, United States epidemiology, Young Adult, COVID-19 epidemiology, Sedentary Behavior
- Abstract
Physical activity is associated lower risk for a broad range of non-communicable diseases and early mortality, and even small changes in daily activity levels could have a profound effect on public health at the population level. The COVID-19 pandemic reshaped daily life for United States (US) adults resulting in reductions in physical activity early in the pandemic, but its longer-term effects on daily activities are unknown. To examine the longer-term impact of the pandemic on daily activity levels, we conducted a nationwide longitudinal study of 1,635 adults (20-75 years) in AmeriSpeak. Previous-day recalls of time-use, sedentary time, and physical activity were completed on randomly selected days in Fall 2019 (pre-pandemic) and Fall 2020. Overall, US adults reported less time in transportation (-0.47 hrs/d), more total discretionary time (0.40 hrs/d), but no changes in total sedentary time (0.10 hrs/d) or leisure-time physical activity (-0.06 hrs/d). Women reported significantly less total activity (-0.36 hrs/d) and participants with children < 13 yrs reported more sedentary time (0.60 to 0.82 hrs/d) and less moderate-to-vigorous intensity activity (-0.84 to -0.72 hrs/d). Adults without children reported no changes in sedentary time (0.02 hrs/d) or moderate-vigorous intensity activity (-0.06 hrs/d). Adults who started working from home reported no changes in physical activity, but they were among the most sedentary and least active population groups at both timepoints. Our findings describe the complex inter-play between competing behaviors as time-use demands have changed in response to the pandemic, particularly for adults with younger children. Many US adults are likely to continue working from home; therefore, implementation of evidence-based approaches to increase physical activity and reduce sedentary time in this growing population subgroup appears warranted., Competing Interests: The authors have declared that no competing interests exist.
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- 2022
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40. Performance of Cervical Screening a Decade Following HPV Vaccination: The Costa Rica Vaccine Trial.
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Hu SY, Kreimer AR, Porras C, Guillén D, Alfaro M, Darragh TM, Stoler MH, Villegas LF, Ocampo R, Rodriguez AC, Schiffman M, Tsang SH, Lowy DR, Schiller JT, Schussler J, Quint W, Gail MH, Sampson JN, Hildesheim A, and Herrero R
- Subjects
- Costa Rica epidemiology, Early Detection of Cancer methods, Female, Human papillomavirus 16, Human papillomavirus 18, Humans, Papillomaviridae genetics, Vaccination, Young Adult, Papillomavirus Infections diagnosis, Papillomavirus Infections epidemiology, Papillomavirus Infections prevention & control, Papillomavirus Vaccines, Uterine Cervical Neoplasms diagnosis, Uterine Cervical Neoplasms epidemiology, Uterine Cervical Neoplasms prevention & control
- Abstract
Background: We investigated the impact of human papillomavirus (HPV) vaccination on the performance of cytology-based and HPV-based screening for detection of cervical precancer among women vaccinated as young adults and reaching screening age., Methods: A total of 4632 women aged 25-36 years from the Costa Rica HPV Vaccine Trial were included (2418 HPV-vaccinated as young adults and 2214 unvaccinated). We assessed the performance of cytology- and HPV-based cervical screening modalities in vaccinated and unvaccinated women to detect high-grade cervical precancers diagnosed over 4 years and the absolute risk of cumulative cervical precancers by screening results at entry., Results: We detected 95 cervical intraepithelial neoplasia grade 3 or worse (52 in unvaccinated and 43 in vaccinated women). HPV16/18/31/33/45 was predominant (69%) among unvaccinated participants, and HPV35/52/58/39/51/56/59/66/68 predominated (65%) among vaccinated participants. Sensitivity and specificity of cervical screening approaches were comparable between women vaccinated as young adults and unvaccinated women. Colposcopy referral rates were lower in the vaccinated group for HPV-based screening modalities, but the positive predictive value was comparable between the 2 groups., Conclusions: Among women approaching screening ages, vaccinated as young adults, and with a history of intensive screening, the expected reduction in the positive predictive value of HPV testing, associated with dropping prevalence of HPV-associated lesions, was not observed. This is likely due to the presence of high-grade lesions associated with nonvaccine HPV types, which may be less likely to progress to cancer., (Published by Oxford University Press 2022.)
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- 2022
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41. Methylation-based markers of aging and lifestyle-related factors and risk of breast cancer: a pooled analysis of four prospective studies.
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Dugué PA, Bodelon C, Chung FF, Brewer HR, Ambatipudi S, Sampson JN, Cuenin C, Chajès V, Romieu I, Fiorito G, Sacerdote C, Krogh V, Panico S, Tumino R, Vineis P, Polidoro S, Baglietto L, English D, Severi G, Giles GG, Milne RL, Herceg Z, Garcia-Closas M, Flanagan JM, and Southey MC
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- Aging genetics, DNA Methylation, Epigenesis, Genetic, Female, Humans, Life Style, Prospective Studies, Risk Factors, Breast Neoplasms etiology, Breast Neoplasms genetics
- Abstract
Background: DNA methylation in blood may reflect adverse exposures accumulated over the lifetime and could therefore provide potential improvements in the prediction of cancer risk. A substantial body of research has shown associations between epigenetic aging and risk of disease, including cancer. Here we aimed to study epigenetic measures of aging and lifestyle-related factors in association with risk of breast cancer., Methods: Using data from four prospective case-control studies nested in three cohorts of European ancestry participants, including a total of 1,655 breast cancer cases, we calculated three methylation-based measures of lifestyle factors (body mass index [BMI], tobacco smoking and alcohol consumption) and seven measures of epigenetic aging (Horvath-based, Hannum-based, PhenoAge and GrimAge). All measures were regression-adjusted for their respective risk factors and expressed per standard deviation (SD). Odds ratios (OR) and 95% confidence intervals (CI) were calculated using conditional or unconditional logistic regression and pooled using fixed-effects meta-analysis. Subgroup analyses were conducted by age at blood draw, time from blood sample to diagnosis, oestrogen receptor-positivity status and tumour stage., Results: None of the measures of epigenetic aging were associated with risk of breast cancer in the pooled analysis: Horvath 'age acceleration' (AA): OR per SD = 1.02, 95%CI: 0.95-1.10; AA-Hannum: OR = 1.03, 95%CI:0.95-1.12; PhenoAge: OR = 1.01, 95%CI: 0.94-1.09 and GrimAge: OR = 1.03, 95%CI: 0.94-1.12, in models adjusting for white blood cell proportions, body mass index, smoking and alcohol consumption. The BMI-adjusted predictor of BMI was associated with breast cancer risk, OR per SD = 1.09, 95%CI: 1.01-1.17. The results for the alcohol and smoking methylation-based predictors were consistent with a null association. Risk did not appear to substantially vary by age at blood draw, time to diagnosis or tumour characteristics., Conclusion: We found no evidence that methylation-based measures of aging, smoking or alcohol consumption were associated with risk of breast cancer. A methylation-based marker of BMI was associated with risk and may provide insights into the underlying associations between BMI and breast cancer., (© 2022. The Author(s).)
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- 2022
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42. Metabolomic analysis of serum alpha-tocopherol among men in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study.
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Lawrence WR, Lim JE, Huang J, Sampson JN, Weinstein SJ, and Albanes D
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- Amino Acids, Humans, Lipids, Male, Vitamin E, alpha-Tocopherol, Neoplasms prevention & control, beta Carotene
- Abstract
Background/objectives: The role of vitamin E in chronic disease risk remains incompletely understood, particularly in an un-supplemented state, and evidence is sparse regarding the biological actions and pathways involved in its influence on health outcomes. Identifying vitamin-E-associated metabolites through agnostic metabolomics analyses can contribute to elucidating the specific associations and disease etiology. This study aims to investigate the association between circulating metabolites and serum α-tocopherol concentration in an un-supplemented state., Subjects/methods: Metabolomic analysis of 4,294 male participants was conducted based on pre-supplementation fasting serum in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study. The associations between 1,791 known metabolites measured by ultra-high-performance LC-MS/GC-MS and HPLC-determined α-tocopherol concentration were estimated using multivariable linear regression. Differences in metabolite levels per unit difference in α-tocopherol concentration were calculated as standardized β-coefficients and standard errors., Results: A total of 252 metabolites were associated with serum α-tocopherol at the Bonferroni-corrected p value (p < 2.79 × 10
-5 ). Most of these metabolites were of lipid and amino acid origin, with the respective subclasses of dicarboxylic fatty acids, and valine, leucine, and isoleucine metabolism, being highly represented. Among lipids, the strongest signals were observed for linoleoyl-arachidonoyl-glycerol (18:2/20:4)[2](β = 0.149; p = 8.65 × 10-146 ) and sphingomyelin (D18:2/18:1) (β = 0.035; p = 1.36 × 10-30 ). For amino acids, the strongest signals were aminoadipic acid (β = 0.021; p = 5.01 × 10-13 ) and l-leucine (β = 0.007; p = 1.05 × 10-12 )., Conclusions: The large number of metabolites, particularly lipid and amino acid compounds associated with serum α-tocopherol provide leads regarding potential mechanisms through which vitamin E influences human health, including its role in cardiovascular disease and cancer., (© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)- Published
- 2022
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43. A prospective investigation of serum bile acids with risk of liver cancer, fatal liver disease, and biliary tract cancer.
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Farhat Z, Freedman ND, Sampson JN, Falk RT, Koshiol J, Weinstein SJ, Albanes D, Sinha R, and Loftfield E
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- Bile Acids and Salts, Glycocholic Acid, Humans, Prospective Studies, Taurocholic Acid, Biliary Tract Neoplasms epidemiology, Liver Neoplasms epidemiology
- Abstract
Bile acids (BAs), major regulators of the gut microbiota, may play an important role in hepatobiliary cancer etiology. However, few epidemiologic studies have comprehensively examined associations between BAs and liver or biliary tract cancer. In the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) study, we designed 1:1 matched, nested, case-control studies of primary liver cancer (n = 201 cases), fatal liver disease (n = 261 cases), and primary biliary tract cancer (n = 138 cases). Using baseline serum collected ≤30 years before diagnosis or death, we measured concentrations of 15 BAs with liquid chromatography-tandem mass spectrometry. We estimated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable conditional logistic regression models, adjusted for age, education, diabetes status, smoking, alcohol intake, and body mass index. We accounted for multiple comparisons using a false discovery rate (FDR) correction. Comparing the highest to the lowest quartile, seven BAs were positively associated with liver cancer risk, including taurocholic acid (TCA) (OR, 5.62; 95% CI, 2.74-11.52; Q trend < 0.0001), taurochenodeoxycholic acid (TCDCA) (OR, 4.77; 95% CI, 2.26-10.08; Q trend < 0.0001), and glycocholic acid (GCA) OR, 5.30; 95% CI, 2.41-11.66; Q trend < 0.0001), and 11 were positively associated with fatal liver disease risk, including TCDCA (OR, 9.65; 95% CI, 4.41-21.14; Q trend < 0.0001), TCA (OR, 7.45; 95% CI, 3.70-14.97; Q trend < 0.0001), and GCA (OR, 6.98; 95% CI, 3.32-14.68; Q trend < 0.0001). For biliary tract cancer, associations were generally >1 but not significant after FDR correction. Conjugated BAs were strongly associated with increased risk of liver cancer and fatal liver disease, suggesting mechanistic links between BA metabolism and liver cancer or death from liver disease., (Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases.)
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- 2022
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44. Analysis of cervical HPV infections among unvaccinated young adult women to inform vaccine strategies in this age group: the Costa Rica HPV Vaccine Trial.
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Sierra MS, Tsang SH, Porras C, Herrero R, Sampson JN, Cortes B, Schussler J, Wagner S, Carvajal L, Quint W, Kreimer AR, Hu S, Rodriguez AC, Romero B, and Hildesheim A
- Abstract
Introduction: Human papillomavirus (HPV) vaccines protect against incident HPV infections, which cause cervical cancer., Objectives: We estimated the prevalence and incidence of HPV infections in young adult women to understand the impact of an HPV vaccination programme in this population., Methods: We collected cervical specimens from 6322 unvaccinated women, aged 18-37 years, who participated in the Costa Rica Vaccine Trial and its long-term follow-up. Women were followed for (median) 4.8 years and had (median) 4.0 study visits. Cervical specimens were tested for the presence/absence of 25 HPV genotypes. For each age band, we estimated the percentage of women with 1+ prevalent or 1+ incident HPV infections using generalised estimating equations. We also estimated the prevalence and incidence of HPV as a function of time since first sexual intercourse (FSI)., Results: The model estimated HPV incident infections peaked at 28.0% (95% CI 25.3% to 30.9%) at age 20 years then steadily declined to 11.8% (95% CI 7.6% to 17.8%) at age 37 years. Incident oncogenic HPV infections (HPV16/18/31/33/35/39/45/51/52/56/58/59) peaked and then declined from 20.3% (95% CI 17.9% to 22.9%) to 7.7% (95% CI 4.4% to 13.1%); HPV16/18 declined from 6.4% (95% CI 5.1% to 8.1%) to 1.1% (95% CI 0.33% to 3.6%) and HPV31/33/45/52/58 declined from 11.0% (95% CI 9.3% to 13.1%) to 4.5% (95% CI 2.2% to 8.9%) over the same ages. The percentage of women with 1+ incident HPV of any, oncogenic, non-oncogenic and vaccine-preventable (HPV16/18, HPV31/33/45, HPV31/33/45/52/58, and HPV6/11) types peaked <1 year after FSI and steadily declined with increasing time since FSI (p for trends <0.001). We observed similar patterns for model estimated HPV prevalences., Conclusion: Young adult women may benefit from HPV vaccination if newly acquired vaccine-preventable oncogenic infections lead to cervical precancer and cancer. HPV vaccination targeting this population may provide additional opportunities for primary prevention., Trial Registration Number: NCT00128661., Competing Interests: Competing interests: SHT is now an employee of Merck Sharp & Dohme (MSD), a subsidiary of Merck & Co., Inc., Kenilworth, New Jersey, USA, but completed all work associated with this manuscript while employed at the National Cancer Institute. MSD was not involved in this work., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2022
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45. Utility of Epstein-Barr Virus DNA in Nasopharynx Swabs as a Reflex Test to Triage Seropositive Individuals in Nasopharyngeal Carcinoma Screening Programs.
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Chen GH, Liu Z, Yu KJ, Coghill AE, Chen XX, Xie SH, Lin DF, Huang QH, Lu YQ, Ling W, Lin CY, Lu ZJ, Fan YY, Tang LQ, Sampson JN, Li H, King AD, Middeldorp JM, Hildesheim A, and Cao SM
- Subjects
- Antibodies, Viral, DNA, DNA, Viral, Herpesvirus 4, Human genetics, Humans, Immunoglobulin A, Nasopharynx, Reflex, Triage, Epstein-Barr Virus Infections diagnosis, Nasopharyngeal Carcinoma diagnosis, Nasopharyngeal Neoplasms diagnosis
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Background: Epstein-Barr virus (EBV) DNA detection in the nasopharynx is considered a biomarker for nasopharyngeal carcinoma (NPC). We evaluated its performance as a reflex test to triage EBV seropositives within an NPC screening program in China., Methods: The study population was embedded within an ongoing NPC screening trial and included 1111 participants who screened positive for anti-EBV VCA (antibodies against EBV capsid antigens)/EBNA1 (EBV nuclear antigen1)-IgA antibodies (of 18 237 screened). Nasopharynx swabs were collected/tested for EBNA1 gene EBV DNA load. We evaluated performance of EBV DNA in the nasopharynx swab as a reflex test to triage EBV serological high-risk (those referred to endoscopy/MRI) and medium-risk (those referred to accelerated screening) individuals., Results: By the end of 2019, we detected 20 NPC cases from 317 serological high-risk individuals and 4 NPC cases from 794 medium-risk individuals. When used to triage serological high-risk individuals, nasopharynx swab EBV DNA was detected in 19/20 cases (positivity rate among cases: 95.0%; 95% CI, 75.1%-99.9%), with a referral rate of 63.4% (201/317, 95% CI, 57.8%-68.7%) and NPC detection rate among positives of 9.5% (19/201, 95% CI, 5.8%-14.4%). The performance of an algorithm that combined serology with triage of serology high-risk individuals using EBV DNA testing yielded a sensitivity of 72.4% (95% CI, 3.0%-81.4%) and specificity of 97.6% (95% CI, 97.2%-97.9%). When used to triage EBV serological medium-risk individuals, the positivity rate among cases was 75.0% (95% CI, 19.4%-99.4%), with a referral rate of 61.8% (95% CI, 58.4%-65.2%) and NPC detection rate among positives of 0.6% (95% CI, 0.1%-1.8%)., Conclusions: Nasopharynx swab EBV DNA showed promise as a reflex test to triage serology high-risk individuals, reducing referral by ca. 40% with little reduction in sensitivity compared to a serology-only screening program., (© American Association for Clinical Chemistry 2022. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
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- 2022
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46. Precancerous cervical lesions caused by non-vaccine-preventable HPV types after vaccination with the bivalent AS04-adjuvanted HPV vaccine: an analysis of the long-term follow-up study from the randomised Costa Rica HPV Vaccine Trial.
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Shing JZ, Hu S, Herrero R, Hildesheim A, Porras C, Sampson JN, Schussler J, Schiller JT, Lowy DR, Sierra MS, Carvajal L, and Kreimer AR
- Subjects
- Adolescent, Adult, Costa Rica epidemiology, Female, Follow-Up Studies, Human papillomavirus 16, Human papillomavirus 18, Humans, Male, Papillomaviridae, Vaccination, Young Adult, Papillomavirus Infections, Papillomavirus Vaccines, Precancerous Conditions prevention & control, Uterine Cervical Neoplasms pathology, Uterine Cervical Dysplasia epidemiology, Uterine Cervical Dysplasia pathology, Uterine Cervical Dysplasia prevention & control
- Abstract
Background: In women vaccinated against human papillomavirus (HPV), reductions in cervical disease and related procedures results in more women having intact transformation zones, potentially increasing the risk of cervical lesions caused by non-vaccine-preventable HPV types, a phenomenon termed clinical unmasking. We aimed to evaluate HPV vaccine efficacy against cervical intraepithelial neoplasia grade 2 or worse (CIN2+) and cervical intraepithelial neoplasia grade 3 or worse (CIN3+) attributed to non-preventable HPV types in the long-term follow-up phase of the Costa Rica HPV Vaccine Trial (CVT)., Methods: CVT was a randomised, double-blind, community-based trial done in Costa Rica. Eligible participants were women aged 18-25 years who were in general good health. Participants were randomly assigned (1:1) to receive an HPV 16 and 18 AS04-adjuvanted vaccine or control hepatitis A vaccine, using a blocked randomisation method (permuted block sizes of 14, 16, and 18). Vaccines in both groups were administered intramuscularly with 0·5 mL doses at 0, 1, and 6 months. Masking of vaccine allocation was maintained throughout the 4-year randomised trial phase, after which participants in the hepatitis A virus vaccine control group were provided the HPV vaccine and exited the study; a screening-only, unvaccinated control group was enrolled. The unvaccinated control group and HPV vaccine group were followed up for 7 years, during which treatment allocation was not masked. One of the prespecified primary endpoints for the long-term follow-up phase was precancers associated with HPV types not prevented by the vaccine, defined as histologically confirmed incident CIN2+ events or CIN3+ events attributed to any HPV type except HPV 16, 18, 31, 33, and 45. Our primary analytical period was years 7-11. Primary analyses were in all participants with at least one follow-up visit and excluded participants with a previous endpoint (ie, modified intention-to-treat cohort). Safety endpoints have been reported elsewhere. This trial is registered with ClinicalTrials.gov, NCT00128661 and NCT00867464. The randomised, masked trial phase is completed; an unmasked subset of women in the HPV-vaccinated group is under active investigation., Findings: Between June 28, 2004, and Dec 21, 2005, 7466 participants were enrolled (HPV vaccine group n=3727 and hepatitis A virus vaccine control group n=3739). Between March 30, 2009, and July 5, 2012, 2836 women enrolled in the new unvaccinated control group. The primary analytical cohort (years 7 to 11) included 2767 participants in the HPV vaccine group and 2563 in the unvaccinated group for the CIN2+ events endpoint assessment and 2826 participants in the HPV vaccine group and 2592 in the unvaccinated control group for the CIN3+ events endpoint assessment. Median follow-up during years 7 to 11 for women included for the CIN2+ events analysis was 52·8 months (IQR 44·0 to 60·7) for the HPV vaccine group and 49·8 months (42·0 to 56·9) for the unvaccinated control group. During years 7 to 11, clinical unmasking was observed with a negative vaccine efficacy against CIN2+ events attributed to non-preventable HPV types (-71·2% [95% CI -164·0 to -12·5]), with 9·2 (95% CI 2·1 to 15·6) additional CIN2+ events attributed to non-preventable HPV types per 1000 HPV-vaccinated participants versus HPV-unvaccinated participants. 27·0 (95% CI 14·2 to 39·9) fewer CIN2+ events irrespective of HPV type per 1000 vaccinated participants were observed during 11 years of follow-up. Vaccine efficacy against CIN3+ events attributed to non-preventable HPV types during years 7 to 11 was -135·0% (95% CI -329·8 to -33·5), with 8·3 (3·0 to 12·8) additional CIN3+ events attributed to non-preventable HPV types per 1000 vaccinated participants versus unvaccinated participants., Interpretation: Higher rates of CIN2+ events and CIN3+ events due to non-preventable HPV types in vaccinated versus unvaccinated participants suggests clinical unmasking could attenuate long-term reductions in high-grade disease following successful implementation of HPV vaccination programmes in screened populations. Importantly, the net benefit of vaccination remains considerable; therefore, HPV vaccination should still be prioritised as primary prevention for cervical cancer., Funding: National Cancer Institute and National Institutes of Health Office of Research on Women's Health., Translation: For the Spanish translation of the abstract see Supplementary Materials section., Competing Interests: Declaration of interests JTS and DRL report that they are named inventors on US Government-owned HPV vaccine patents with expired licenses to GlaxoSmithKline and Merck. All other authors declare no competing interests., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
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- 2022
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47. Urinary estrogen metabolites and gastric cancer risk among postmenopausal women.
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Camargo MC, Song M, Xu X, Zhao I, Sampson JN, Etemadi A, Brenner H, Lee HW, Trabert B, Holleczek B, Schöttker B, Spaid K, Dawsey SM, Lee S, Shimura T, Park SK, Malekzadeh R, Kang D, and Rabkin CS
- Subjects
- 2-Methoxyestradiol, Estriol urine, Estrogens metabolism, Female, Humans, Male, Postmenopause, Prospective Studies, Methyl Ethers, Stomach Neoplasms epidemiology
- Abstract
Background: The overall incidence of gastric cancer in women is half that in men for most global populations. Sex hormone pathways may be involved in carcinogenesis and estrogens have been postulated to protect women against gastric cancer., Aim: To evaluate associations of gastric cancer with estrogen metabolites in postmenopausal women., Methods and Results: We performed an analysis of 233 gastric cancer cases and 281 age-matched controls from three prospective cohorts and two case-control studies of early-stage gastric cancer, mainly conducted in high-risk Asian populations. Fifteen estrogen-parent (estrone and estradiol) and -metabolite analytes (2-hydroxyestrone, 2-hydroxyestradiol, 2-hydroxyestrone-3-methyl ether, 4-hydroxyestrone; 4-methoxyestrone, 4-methoxyestradiol, 2-methoxyestrone, 2-methoxyestradiol, estriol, 16α-hydroxyestrone, 16-ketoestradiol, 16-epiestriol, and 17-epiestriol) were measured in spot urines using liquid chromatography-tandem mass spectrometry. Odds ratios for association with each marker were estimated by logistic regression. Heterogeneity was assessed by Cochran's Q test. Study-specific odds ratios were pooled by fixed-effects meta-analysis. Urinary levels of estrogen-related molecules were not associated with gastric cancer (adjusted odds ratios ranged from 0.87 to 1.27; p-values >.05), with low between-study heterogeneity (p-values >.1) for all but two metabolites (2-hydroxyestrone-3-methyl ether and 2-methoxyestradiol)., Conclusion: To date, this is the first comprehensive assessment of endogenous estrogens with gastric cancer risk in women. Estrogens do not appear to have an etiologic role in gastric cancer risk among postmenopausal women. Given the complex network of sex steroid hormones and their extreme variation over the lifespan, further evaluation of this hypothesis is warranted., (© 2021 The Authors. Cancer Reports published by Wiley Periodicals LLC.)
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- 2022
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48. Prospective Associations of Circulating Bile Acids and Short-Chain Fatty Acids With Incident Colorectal Cancer.
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Loftfield E, Falk RT, Sampson JN, Huang WY, Hullings A, Murphy G, Weinstein SJ, Albanes D, Freedman ND, and Sinha R
- Subjects
- Fatty Acids, Volatile, Female, Humans, Logistic Models, Male, Odds Ratio, Bile Acids and Salts, Colonic Neoplasms
- Abstract
Background: Human studies investigating the prospective relationship between microbial metabolites and colorectal cancer (CRC) risk are lacking. We tested whether higher serum bile acids (BAs) and lower short-chain fatty acids (SCFAs) were associated with CRC risk., Methods: In baseline serum collected more than 30 years before a CRC diagnosis, we quantified concentrations of 15 BAs and 6 SCFAs using targeted liquid chromatography with tandem mass spectrometry assays in 1:1 matched cases and controls from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial (men: n = 262 cases; women: n = 233 cases) and the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study (men: n = 598 cases). We estimated odds ratios (ORs) and 95% confidence intervals (CIs) for BA and SCFA quartiles and summary measures with CRC overall and by anatomic location using multivariable conditional logistic regression models. PLCO analyses were stratified by sex. All statistical tests were 2-sided., Results: In PLCO women, 7 BAs were strongly associated with increased CRC risk, including the secondary BAs, deoxycholic (ORQ4 v Q1 = 2.85, 95% CI = 1.45 to 5.60, Qtrend = 0.011), glycodeoxycholic (OR Q4 v Q1 = 3.45, 95% CI = 1.79 to 6.64, Qtrend = 0.006), taurodeoxycholic (OR Q4 v Q1 = 2.36, 95% CI = 1.22 to 4.55, Qtrend = 0.023), and glycolithocholic acid (ORQ4 v Q1 = 2.71, 95% CI = 1.41 to 5.22, Qtrend = 0.015). Women in the highest compared with lowest quartile of total SCFAs had a 45% lower risk of CRC (OR = 0.55, 95% CI = 0.31 to 0.98, Ptrend = .03). Associations for total BAs and SCFAs were strongest among women with proximal colon cancer. No statistically significant associations were observed for BA or SCFA measures among men., Conclusions: Serum concentrations of BAs, particularly downstream microbial metabolites of cholic acid, were strongly associated with increased risk of CRC among women., (Published by Oxford University Press 2022. This work is written by US Government employees and is in the public domain in the US.)
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- 2022
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49. HPV16 infection decreases vaccine-induced HPV16 antibody avidity: the CVT trial.
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Tsang SH, Schiller JT, Porras C, Kemp TJ, Herrero R, Schussler J, Sierra MS, Cortes B, Hildesheim A, Lowy DR, Rodríguez AC, Romero B, Çuburu N, Shing JZ, Pinto LA, Sampson JN, and Kreimer AR
- Abstract
The HPV vaccine has shown sustained efficacy and consistent stabilization of antibody levels, even after a single dose. We defined the HPV16-VLP antibody avidity patterns over 11 years among women who received one- or three doses of the bivalent HPV vaccine in the Costa Rica HPV Vaccine Trial. Absolute HPV16 avidity was lower in women who received one compared to three doses, although the patterns were similar (increased in years 2 and 3 and remained stable over the remaining 8 years). HPV16 avidity among women who were HPV16-seropositive women at HPV vaccination, a marker of natural immune response to HPV16 infection, was significantly lower than those of HPV16-seronegative women, a difference that was more pronounced among one-dose recipients. No differences in HPV16 avidity were observed by HPV18 serostatus at vaccination, confirming the specificity of the findings. Importantly, point estimates for vaccine efficacy against incident, six-month persistent HPV16 infections was similar between women who were HPV16 seronegative and seropositive at the time of initial HPV vaccination for both one-dose and three-dose participants. It is therefore likely that this lower avidity level is still sufficient to enable antibody-mediated protection. It is encouraging for long-term HPV-vaccine protection that HPV16 antibody avidity was maintained for over a decade, even after a single dose., (© 2022. This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply.)
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- 2022
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50. Exposure to Outdoor Particulate Matter Air Pollution and Risk of Gastrointestinal Cancers in Adults: A Systematic Review and Meta-Analysis of Epidemiologic Evidence.
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Pritchett N, Spangler EC, Gray GM, Livinski AA, Sampson JN, Dawsey SM, and Jones RR
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- Adult, Environmental Exposure analysis, Humans, Particulate Matter analysis, Air Pollutants analysis, Air Pollution analysis, Gastrointestinal Neoplasms epidemiology
- Abstract
Background: Outdoor air pollution is a known lung carcinogen, but research investigating the association between particulate matter (PM) and gastrointestinal (GI) cancers is limited., Objectives: We sought to review the epidemiologic literature on outdoor PM and GI cancers and to put the body of studies into context regarding potential for bias and overall strength of evidence., Methods: We conducted a systematic review and meta-analysis of epidemiologic studies that evaluated the association of fine PM [PM with an aerodynamic diameter of ≤ 2.5 μ m ( PM 2.5 )] and PM 10 (aerodynamic diameter ≤ 10 μ m ) with GI cancer incidence or mortality in adults. We searched five databases for original research published from 1980 to 2021 in English and summarized findings for studies employing a quantitative estimate of exposure overall and by specific GI cancer subtypes. We evaluated the risk of bias of individual studies and the overall quality and strength of the evidence according to the Navigation Guide methodology, which is tailored for environmental health research., Results: Twenty studies met inclusion criteria and included participants from 14 countries; nearly all were of cohort design. All studies identified positive associations between PM exposure and risk of at least one GI cancer, although in 3 studies these relationships were not statistically significant. Three of 5 studies estimated associations with PM 10 and satisfied inclusion criteria for meta-analysis, but each assessed a different GI cancer and were therefore excluded. In the random-effects meta-analysis of 13 studies, PM 2.5 exposure was associated with an increased risk of GI cancer overall [ risk ratio ( RR ) = 1.12 ; 95% CI: 1.01, 1.24]. The most robust associations were observed for liver cancer ( RR = 1.31 ; 95% CI: 1.07, 1.56) and colorectal cancer ( RR = 1.35 ; 95% CI: 1.08, 1.62), for which all studies identified an increased risk. We rated most studies with "probably low" risk of bias and the overall body of evidence as "moderate" quality with "limited" evidence for this association. We based this determination on the generally positive, but inconsistently statistically significant, effect estimates reported across a small number of studies., Conclusion: We concluded there is some evidence of associations between PM 2.5 and GI cancers, with the strongest evidence for liver and colorectal cancers. Although there is biologic plausibility for these relationships, studies of any one cancer site were few and there remain only a small number overall. Studies in geographic areas with high GI cancer burden, evaluation of the impact of different PM exposure assessment approaches on observed associations, and investigation of cancer subtypes and specific chemical components of PM are important areas of interest for future research. https://doi.org/10.1289/EHP9620.
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- 2022
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