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1. Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions

Author

Purdue, Mark P., Dutta, Diptavo, Machiela, Mitchell J., Gorman, Bryan R., Winter, Timothy, Okuhara, Dayne, Cleland, Sara, Ferreiro-Iglesias, Aida, Scheet, Paul, Liu, Aoxing, Wu, Chao, Antwi, Samuel O., Larkin, James, Zequi, Stênio C., Sun, Maxine, Hikino, Keiko, Hajiran, Ali, Lawson, Keith A., Cárcano, Flavio, Blanchet, Odile, Shuch, Brian, Nepple, Kenneth G., Margue, Gaëlle, Sundi, Debasish, Diver, W. Ryan, Folgueira, Maria A. A. K., van Bokhoven, Adrie, Neffa, Florencia, Brown, Kevin M., Hofmann, Jonathan N., Rhee, Jongeun, Yeager, Meredith, Cole, Nathan R., Hicks, Belynda D., Manning, Michelle R., Hutchinson, Amy A., Rothman, Nathaniel, Huang, Wen-Yi, Linehan, W. Marston, Lori, Adriana, Ferragu, Matthieu, Zidane-Marinnes, Merzouka, Serrano, Sérgio V., Magnabosco, Wesley J., Vilas, Ana, Decia, Ricardo, Carusso, Florencia, Graham, Laura S., Anderson, Kyra, Bilen, Mehmet A., Arciero, Cletus, Pellegrin, Isabelle, Ricard, Solène, Scelo, Ghislaine, Banks, Rosamonde E., Vasudev, Naveen S., Soomro, Naeem, Stewart, Grant D., Adeyoju, Adebanji, Bromage, Stephen, Hrouda, David, Gibbons, Norma, Patel, Poulam, Sullivan, Mark, Protheroe, Andrew, Nugent, Francesca I., Fournier, Michelle J., Zhang, Xiaoyu, Martin, Lisa J., Komisarenko, Maria, Eisen, Timothy, Cunningham, Sonia A., Connolly, Denise C., Uzzo, Robert G., Zaridze, David, Mukeria, Anush, Holcatova, Ivana, Hornakova, Anna, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Jinga, Viorel, Rascu, Stefan, Mijuskovic, Mirjana, Savic, Slavisa, Milosavljevic, Sasa, Gaborieau, Valérie, Abedi-Ardekani, Behnoush, McKay, James, Johansson, Mattias, Phouthavongsy, Larry, Hayman, Lindsay, Li, Jason, Lungu, Ilinca, Bezerra, Stephania M., Souza, Aline G., Sares, Claudia T. G., Reis, Rodolfo B., Gallucci, Fabio P., Cordeiro, Mauricio D., Pomerantz, Mark, Lee, Gwo-Shu M., Freedman, Matthew L., Jeong, Anhyo, Greenberg, Samantha E., Sanchez, Alejandro, Thompson, R. Houston, Sharma, Vidit, Thiel, David D., Ball, Colleen T., Abreu, Diego, Lam, Elaine T., Nahas, William C., Master, Viraj A., Patel, Alpa V., Bernhard, Jean-Christophe, Freedman, Neal D., Bigot, Pierre, Reis, Rui M., Colli, Leandro M., Finelli, Antonio, Manley, Brandon J., Terao, Chikashi, Choueiri, Toni K., Carraro, Dirce M., Houlston, Richard, Eckel-Passow, Jeanette E., Abbosh, Philip H., Ganna, Andrea, Brennan, Paul, Gu, Jian, and Chanock, Stephen J.

Published
2024
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3. Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: A pooled analysis.

Author

Rhee, Jongeun, Birmann, Brenda, De Roos, Anneclaire, Epstein, Mara, Martinez-Maza, Otoniel, Breen, Elizabeth, Magpantay, Larry, Levin, Lynn, Visvanathan, Kala, Hosgood, H, Rohan, Thomas, Smoller, Sylvia, Bassig, Bryan, Qi, Lihong, Shu, Xiao-Ou, Koh, Woon-Puay, Zheng, Wei, Yuan, Jian-Min, Weinstein, Stephanie, Albanes, Demetrius, Lan, Qing, Rothman, Nathaniel, and Purdue, Mark

Subjects
CXCL13, immune markers, non-Hodgkin lymphoma, sCD27, sCD30, Adult, Humans, Leukemia, Lymphocytic, Chronic, B-Cell, Lymphoma, Non-Hodgkin, Lymphoma, Follicular, Biomarkers, Lymphoma, Large B-Cell, Diffuse, Case-Control Studies, Lymphoma, Mantle-Cell
Abstract

Although prediagnostic circulating concentrations of the immune activation markers soluble CD27 (sCD27), sCD30 and chemokine ligand-13 (CXCL13) have been associated with non-Hodgkin lymphoma (NHL) risk, studies have been limited by sample size in associations with NHL subtypes. We pooled data from eight nested case-control studies to investigate subtype-specific relationships for these analytes. Using polytomous regression, we calculated odds ratios (ORs) with 95% confidence intervals (CIs) relating study-specific analyte tertiles to selected subtypes vs controls (n = 3310): chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; n = 623), diffuse large B cell lymphoma (DLBCL; n = 621), follicular lymphoma (FL; n = 398), marginal zone lymphoma (MZL; n = 138), mantle cell lymphoma (MCL; n = 82) and T cell lymphoma (TCL; n = 92). We observed associations with DLBCL for elevated sCD27 [OR for third vs first tertile (ORT3 ) = 2.2, 95% CI = 1.6-3.1], sCD30 (ORT3  = 2.0, 95% CI = 1.6-2.5) and CXCL13 (ORT3  = 2.3, 95% CI = 1.8-3.0). We also observed associations with sCD27 for CLL/SLL (ORT3  = 3.3, 95% CI = 2.4-4.6), MZL (ORT3  = 7.7, 95% CI = 3.0-20.1) and TCL (ORT3  = 3.4, 95% CI = 1.5-7.7), and between sCD30 and FL (ORT3  = 2.7, 95% CI = 2.0-3.5). In analyses stratified by time from phlebotomy to case diagnosis, the sCD27-TCL and all three DLBCL associations were equivalent across both follow-up periods (

Published
2023

4. Transcriptome- and proteome-wide association studies identify genes associated with renal cell carcinoma

Author

Purdue, Mark P., Dutta, Diptavo, Machiela, Mitchell J., Gorman, Bryan R., Winter, Timothy, Okuhara, Dayne, Cleland, Sara, Ferreiro-Iglesias, Aida, Scheet, Paul, Liu, Aoxing, Wu, Chao, Antwi, Samuel O., Larkin, James, Zequi, Stênio C., Sun, Maxine, Hikino, Keiko, Hajiran, Ali, Lawson, Keith A., Cárcano, Flavio, Blanchet, Odile, Shuch, Brian, Nepple, Kenneth G., Margue, Gaëlle, Sundi, Debasish, Diver, W. Ryan, Folgueira, Maria A.A.K., van Bokhoven, Adrie, Neffa, Florencia, Brown, Kevin M., Hofmann, Jonathan N., Rhee, Jongeun, Yeager, Meredith, Cole, Nathan R., Hicks, Belynda D., Manning, Michelle R., Hutchinson, Amy A., Rothman, Nathaniel, Huang, Wen-Yi, Linehan, W. Marston, Lori, Adriana, Ferragu, Matthieu, Zidane-Marinnes, Merzouka, Serrano, Sérgio, Magnabosco, Wesley J., BioBank Japan Project Consortium, Vilas, Ana, Decia, Ricardo, Carusso, Florencia, Graham, Laura S., Anderson, Kyra, Bilen, Mehmet A., Arciero, Cletus, Pellegrin, Isabelle, Ricard, Solène, FinnGen, Scelo, Ghislaine, Banks, Rosamonde E., Vasudev, Naveen S., Soomro, Naeem, Stewart, Grant D., Adeyoju, Adebanji, Bromage, Stephen, Hrouda, David, Gibbons, Norma, Patel, Poulam, Sullivan, Mark, Protheroe, Andrew, Nugent, Francesca I., Fournier, Michelle J., Zhang, Xiaoyu, Martin, Lisa J., Komisarenko, Maria, Eisen, Timothy, Cunningham, Sonia A., Connolly, Denise C., Uzzo, Robert G., Zaridze, David, Mukeria, Anush, Holcatova, Ivana, Hornakova, Anna, Foretova, Lenka, Janout, Vladimir, Mates, Dana, Jinga, Viorel, Rascu, Stefan, Mijuskovic, Mirjana, Savic, Slavisa, Milosavljevic, Sasa, Gaborieau, Valérie, Abedi-Ardekani, Behnoush, McKay, James, Johansson, Mattias, Phouthavongsy, Larry, Hayman, Lindsay, Li, Jason, Lungu, Ilinca, Bezerra, Stephania M., de Souza, Aline G., Sares, Claudia T.G., Reis, Rodolfo B., Gallucci, Fabio P., Cordeiro, Mauricio D., Pomerantz, Mark, Lee, Gwo-Shu M., Freedman, Matthew L., Jeong, Anhyo, Greenberg, Samantha E., Sanchez, Alejandro, Thompson, R. Houston, Sharma, Vidit, Thiel, David D., Ball, Colleen T., Abreu, Diego, Lam, Elaine T., Nahas, William C., Master, Viraj A., Patel, Alpa V., Bernhard, Jean-Christophe, Freedman, Neal D., Bigot, Pierre, Reis, Rui M., Colli, Leandro M., Finelli, Antonio, Manley, Brandon J., Terao, Chikashi, Choueiri, Toni K., Carraro, Dirce M., Houlston, Richard, Eckel-Passow, Jeanette E., Abbosh, Philip H., Ganna, Andrea, Brennan, Paul, Gu, Jian, Chanock, Stephen J., Guo, Xinyu, Winter, Timothy D., Jahagirdar, Om, Ha, Eunji, and Susztak, Katalin

Published
2024
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16. Occupational trichloroethylene exposure and antinuclear antibodies: a cross-sectional study in China

Author

Purdue, Mark, Zhang, Luoping, Vermeulen, Roel, Smith, Martyn T., Hu, Wei, Rhee, Jongeun, Wen, Cuiju, Huang, Yongshun, Tang, Xiaojiang, Berndt, Sonja I., Frazer-Abel, Ashley, Deane, Kevin, Rothman, Nat, Lan, Qing, IRAS OH Epidemiology Chemical Agents, and IRAS OH Epidemiology Chemical Agents

Subjects
Biological Products, Mice, Cross-Sectional Studies, Antibodies, Antinuclear, Occupational Exposure, Public Health, Environmental and Occupational Health, Animals, Humans, Article, Autoimmune Diseases, Trichloroethylene
Abstract

ObjectivesThere has been concern over the possible risk of autoimmune diseases from exposure to trichloroethylene (TCE), an industrial solvent and common pollutant near hazardous waste sites. Studies of TCE-exposed lupus-prone mouse strains have reported increases in serum antinuclear antibodies (ANAs), a marker of autoimmunity, and autoimmune pathologic changes, while epidemiologic studies have provided limited support for an association between TCE exposure and scleroderma. To investigate exposure-related biologic evidence of autoimmunity in humans, we measured ANA levels in sera from a cross-sectional study of TCE-exposed (n=80) and TCE-unexposed (n=96) workers in Guangdong, China.MethodsFull-shift personal air exposure measurements for TCE were taken prior to blood collection. Serum ANAs were detected by immunofluorescence on HEp-2 cells. We calculated ORs and 95% CI relating levels of TCE exposure (categorised using tertiles as cut-points) and ANA positivity (1+ intensity at 1:320 dilution) using multivariable logistic regression.ResultsSamples from 16 of 176 participants were ANA-positive. We found higher levels of TCE exposure (concentrations>17.27 ppm) to be associated with an elevated odds of ANA positivity (OR 4.7, 95% CI 1.3 to 16.8) compared with unexposed controls. This association remained after excluding two subjects with diagnosed autoimmune disease (OR 4.5, 95% CI 1.2 to 16.2). We did not observe an association with ANAs at lower exposure levels.ConclusionsOur findings, to our knowledge the first direct human evidence of an association between TCE exposure and systemic autoimmunity, provide biologic plausibility to epidemiologic evidence relating TCE and autoimmune disease.

Published
2022

18. Serum perfluorooctane sulfonate and perfluorooctanoate and risk of postmenopausal breast cancer according to hormone receptor status: An analysis in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial

Author

Chang, Vicky C., primary, Rhee, Jongeun, additional, Berndt, Sonja I., additional, Moore, Steven C., additional, Freedman, Neal D., additional, Jones, Rena R., additional, Silverman, Debra T., additional, Gierach, Gretchen L., additional, Hofmann, Jonathan N., additional, and Purdue, Mark P., additional

Published
2023
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23. Circulating immune markers and risks of non‐Hodgkin lymphoma subtypes: A pooled analysis

Author

Rhee, Jongeun, primary, Birmann, Brenda M., additional, De Roos, Anneclaire J., additional, Epstein, Mara M., additional, Martinez‐Maza, Otoniel, additional, Breen, Elizabeth C., additional, Magpantay, Larry I., additional, Levin, Lynn I., additional, Visvanathan, Kala, additional, Hosgood, H. Dean, additional, Rohan, Thomas E., additional, Smoller, Sylvia W., additional, Bassig, Bryan A., additional, Qi, Lihong, additional, Shu, Xiao‐Ou, additional, Koh, Woon‐Puay, additional, Zheng, Wei, additional, Yuan, Jian‐Min, additional, Weinstein, Stephanie J., additional, Albanes, Demetrius, additional, Lan, Qing, additional, Rothman, Nathaniel, additional, and Purdue, Mark P., additional

Published
2022
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28. Abstract 685: Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: A pooled analysis

Author

Rhee, Jongeun, primary, Birmann, Brenda M., additional, De Roos, Anneclaire J., additional, Epstein, Mara M., additional, Martinez-Maza, Otoniel, additional, Breen, Elizabeth C., additional, Levin, Lynn I., additional, Visvanathan, Kala, additional, Hosgood, H Dean, additional, Rohan, Thomas, additional, Qi, Lihong, additional, Lan, Qing, additional, Rothman, Nathaniel, additional, and Purdue, Mark P., additional

Published
2022
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30. Military occupation and testicular germ cell tumour risk among US Air Force servicemen

Author

Denic-Roberts, Hristina, McGlynn, Katherine, Rhee, Jongeun, Byrne, Celia, Lang, Michael, Vu, Paul, Purdue, Mark, and Rusiecki, Jennifer

Abstract

ObjectivesTesticular germ cell tumours (TGCTs) are the most commonly diagnosed malignancy among active duty US military servicemen. Occupational risk factors may play a role in TGCT aetiology, although the evidence is inconclusive. The objective of our study was to investigate associations between military occupations and TGCT risk among US Air Force (USAF) servicemen.MethodsThis nested case–control study among active duty USAF servicemen obtained information on military occupations for 530 histologically confirmed TGCT cases diagnosed during 1990–2018 and 530 individually matched controls. We determined military occupations using Air Force Specialty Codes ascertained at two time points: at case diagnosis and at a time point on average 6 years earlier. We computed adjusted ORs and 95% CIs from conditional logistic regression models to evaluate associations between occupations and TGCT risk.ResultsThe mean age at TGCT diagnosis was 30 years. Increased TGCT risk was observed for pilots (OR=2.84, 95% CI: 1.20–6.74) and servicemen with aircraft maintenance jobs (OR=1.85, 95% CI: 1.03–3.31) who held those jobs at both time points. Fighter pilots (n=18) and servicemen with firefighting jobs (n=18) at the time of case diagnosis had suggestively elevated TGCT odds (OR=2.73, 95% CI: 0.96–7.72 and OR=1.94, 95% CI: 0.72–5.20, respectively).ConclusionsIn this matched, nested case–control study of young active duty USAF servicemen, we found that pilots and men with aircraft maintenance jobs had elevated TGCT risk. Further research is needed to elucidate specific occupational exposures underlying these associations.

Published
2023
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31. Coffee consumption and risk of renal cell carcinoma in the NIH-AARP Diet and Health Study.

Author

Rhee, Jongeun, Loftfield, Erikka, Freedman, Neal D, Liao, Linda M, Sinha, Rashmi, and Purdue, Mark P

Subjects
*RENAL cell carcinoma, *COFFEE drinks, *COFFEE, *DISEASE risk factors, *DIET, *ELECTRONIC cigarettes, *KIDNEY tumors, *CAFFEINE, *RESEARCH funding, *LONGITUDINAL method
Abstract

Background: Coffee consumption has been associated with a reduced risk of some cancers, but the evidence for renal cell carcinoma (RCC) is inconclusive. We investigated the relationship between coffee and RCC within a large cohort.Methods: Coffee intake was assessed at baseline in the National Institutes of Health-American Association of Retired Persons Diet and Health Study. Among 420 118 participants eligible for analysis, 2674 incident cases were identified. We fitted Cox-regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for coffee consumption vs non-drinkers.Results: We observed HRs of 0.94 (95% CI 0.81, 1.09), 0.94 (0.81, 1.09), 0.80 (0.70, 0.92) and 0.77 (0.66, 0.90) for usual coffee intake of <1, 1, 2-3 and ≥4 cups/day, respectively (Ptrend = 0.00003). This relationship was observed among never-smokers (≥4 cups/day: HR 0.62, 95% CI 0.46, 0.83; Ptrend = 0.000003) but not ever-smokers (HR 0.85, 95% CI 0.70, 1.05; Ptrend = 0.35; Pinteraction = 0.0009) and remained in analyses restricted to cases diagnosed >10 years after baseline (HR 0.65, 95% CI 0.51, 0.82; Ptrend = 0.0005). Associations were similar between subgroups who drank predominately caffeinated or decaffeinated coffee (Pinteraction = 0.74).Conclusion: In this investigation of coffee and RCC, to our knowledge the largest to date, we observed a 20% reduced risk for intake of ≥2 cups/day vs not drinking. Our findings add RCC to the growing list of cancers for which coffee consumption may be protective. [ABSTRACT FROM AUTHOR]

Published
2021
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32. Differences in risk factors for molecular subtypes of clear cell renal cell carcinoma.

Author

Purdue, Mark P., Rhee, Jongeun, Moore, Lee, Gao, Xiaohua, Sun, Xuezheng, Kirk, Erin, Bencko, Vladimir, Janout, Vladimir, Mates, Dana, Zaridze, David, Petruzella, Stacey, Hakimi, Abraham Ari, Linehan, William Marston, Chanock, Stephen J., Brennan, Paul, Furberg, Helena, Troester, Melissa, and Rothman, Nathaniel

Subjects
RENAL cell carcinoma, GENOME-wide association studies, GENETIC variation, BODY mass index, ODDS ratio, REGRESSION analysis
Abstract

The ccA and ccB molecular subtypes of clear cell renal cell carcinoma (ccRCC) have well‐characterized prognostic relevance. However, it is not known whether they possess distinct etiologies. We investigated the relationships between these subtypes and RCC risk factors within a case‐control study conducted in Eastern Europe. We analyzed risk factor data for ccA (n = 144) and ccB (n = 106) cases and 1476 controls through case‐only and case‐control comparisons to assess risk factor differences across subtypes using logistic and polytomous regression models. We also performed a meta‐analysis summarizing case‐only results from our study and three patient cohorts. Patients with ccB tumors had poorer survival than those with ccA tumors and were more likely to be male (case‐only odds ratio [OR] 2.68, 95% confidence interval [CI] 1.43‐5.03). In case‐control analyses, body mass index was significantly associated with ccA tumors (OR 2.45, 95% CI 1.18‐5.10 for ≥35 vs <25 kg/m2) but not with ccB tumors (1.52, 0.56‐4.12), while trichloroethylene was associated with ccB but not ccA (OR 3.09, 95% CI 1.11‐8.65 and 1.25, 0.36‐4.39 respectively for ≥1.58 ppm‐years vs unexposed). A polygenic risk score of genetic variants identified from genome‐wide association studies was associated with both ccA and, in particular, ccB (OR 1.82, 1.11‐2.99 and 2.87, 95% CI 1.64‐5.01 respectively for 90th vs 10th percentile). In a meta‐analysis of case‐only results including three patient cohorts, we still observed the ccB excess for male sex and the ccA excess for obesity. In conclusion, our findings suggest the existence of etiologic heterogeneity across ccRCC molecular subtypes for several risk factors. [ABSTRACT FROM AUTHOR]

Published
2021
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33. A Prospective Cohort Study Exploring the Joint Influence of Sunlight Exposure and Tanning Bed Use on Basal Cell Carcinoma, Squamous Cell Carcinoma, and Melanoma Risk.

Author

Tran MM, George-Washburn EA, Rhee J, Li WQ, Qureshi A, and Cho E

Abstract

Exposure to solar ultraviolet (UV) radiation and use of UV-emitting tanning devices are known risk factors for skin cancer. Few studies have explored the interaction between these risk factors, namely how the risk of skin cancer increases among those who both have been exposed to high levels of natural sunlight and regularly use tanning beds. Nurses' Health Study II followed 116,430 women, aged 25-42, from 1991 to 2011. Cumulative average UV exposure was based on participants' residences at follow-up periods. History of severe sunburn during ages 15-20 was used as a proxy for early-life sunlight exposure. Tanning bed use in early life data was collected. Participants reported melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC) diagnoses. We built multivariable Cox regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of skin cancer associated with joint effects of sunlight exposure and tanning bed use. Participants with high sunlight exposure and tanning bed use during high school/college had an increased risk of BCC (HR=1.53, CI 1.37-1.71, P interaction =0.01; vs. low UV exposure and no tanning bed use). Participants with a history of severe sunburns and tanning bed use during high school/college were at increased risk of BCC (HR=1.62, CI 1.47-1.79, P interaction =0.02; vs. no sunburns and no tanning bed use). No significant interactions were found between sunlight exposure and tanning bed use on SCC and melanoma risk. We found significant interactions between sunlight exposure and tanning bed use on the risk of BCC., Competing Interests: Conflicts of Interest: The authors have no conflicts of interest to declare.

Published
2024
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