373 results on '"Petersen GM"'
Search Results
2. Publisher correction: Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148
- Author
-
Fang, J, Jia, J, Makowski, M, Xu, M, Wang, Z, Zhang, T, Hoskins, JW, Choi, J, Han, Y, Zhang, M, Thomas, J, Kovacs, M, Collins, I, Dzyadyk, M, Thompson, A, O'Neill, M, Das, S, Lan, Q, Koster, R, Stolzenberg-Solomon, RS, Kraft, P, Wolpin, BM, Jansen, PWTC, Olson, S, McGlynn, KA, Kanetsky, PA, Chatterjee, N, Barrett, JH, Dunning, AM, Taylor, JC, Newton-Bishop, JA, Timothy Bishop, D, Andresson, T, Petersen, GM, Amos, CI, Iles, MM, Nathanson, KL, Teresa Landi, M, Vermeulen, M, Brown, KM, and Amundadottir, LT
- Abstract
This corrects the article DOI: 10.1038/ncomms15034
- Published
- 2018
3. Association between telomere length and risk of cancer and non-neoplastic diseases a mendelian randomization study
- Author
-
Haycock, PC, Burgess, S, Nounu, A, Zheng, J, Okoli, GN, Bowden, J, Wade, KH, Timpson, NJ, Evans, DM, Willeit, P, Aviv, A, Gaunt, TR, Hemani, G, Mangino, M, Ellis, HP, Kurian, KM, Pooley, KA, Eeles, RA, Lee, JE, Fang, S, Chen, WV, Law, MH, Bowdler, LM, Iles, MM, Yang, Q, Worrall, BB, Markus, HS, Hung, RJ, Amos, CI, Spurdle, AB, Thompson, DJ, O'Mara, TA, Wolpin, B, Amundadottir, L, Stolzenberg-Solomon, R, Trichopoulou, A, Onland-Moret, NC, Lund, E, Duell, EJ, Canzian, F, Severi, G, Overvad, K, Gunter, MJ, Tumino, R, Svenson, U, Van Rij, A, Baas, AF, Bown, MJ, Samani, NJ, Van t'Hof, FNG, Tromp, G, Jones, GT, Kuivaniemi, H, Elmore, JR, Johansson, M, Mckay, J, Scelo, G, Carreras-Torres, R, Gaborieau, V, Brennan, P, Bracci, PM, Neale, RE, Olson, SH, Gallinger, S, Li, D, Petersen, GM, Risch, HA, Klein, AP, Han, J, Abnet, CC, Freedman, ND, Taylor, PR, Maris, JM, Aben, KK, Kiemeney, LA, Vermeulen, SH, Wiencke, JK, and Walsh, KM
- Abstract
Copyright 2017 American Medical Association. All rights reserved. IMPORTANCE: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation. OBJECTIVE: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases. DATA SOURCES: Genomewide association studies (GWAS) published up to January 15, 2015. STUDY SELECTION: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available. DATA EXTRACTION AND SYNTHESIS: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population. MAIN OUTCOMES AND MEASURES: Odds ratios (ORs) and 95% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation. RESULTS: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95% CI, 0.05-0.15]). CONCLUSIONS AND RELEVANCE: It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.
- Published
- 2017
4. Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148
- Author
-
Fang, J, Jia, J, Makowski, M, Xu, M, Wang, Z, Zhang, T, Hoskins, Jw, Choi, J, Han, Y, Zhang, M, Thomas, J, Kovacs, M, Collins, I, Dzyadyk, M, Thompson, A, O'Neill, M, Das, S, Lan, Q, Koster, R, Solomon, Rs, Kraft, P, Wolpin, Bm, Jansen, Pwtc, Olson, S, Mcglynn, Ka, Kanetsky, Pa, Chatterjee, N, Barrett, Jh, Dunning, Am, Taylor, Jc, Newton Bishop, Ja, Bishop, Dt, Andresson, T, Petersen, Gm, Amos, Ci, Iles, Mm, Nathanson, Kl, Landi, Mt, Vermeulen, M, Brown, Km, Amundadottir, Lt, Canzian, F, Kooperberg, C, Arslan, Aa, Bracci, Pm, Buring, J, Duell, Ej, Gallinger, S, Jacobs, Ej, Kamineni, A, Van Den Eeden, S, Klein, Ap, Kolonel, Ln, Li, D, Olson, Sh, Risch, Ha, Sesso, Hd, Visvanathan, K, Zheng, W, Albanes, D, Austin, Ma, Boutron Ruault, Mc, Bueno de Mesquita, Hb, Cotterchio, M, Gaziano, Jm, Giovannucci, El, Goggins, M, Gross, M, Hassan, M, Helzlsouer, Kj, Holly, Ea, Hunter, Dj, Jenab, M, Kaaks, R, Key, Tj, Khaw, Kt, Krogh, V, Kurtz, Rc, Lacroix, A, Le Marchand, L, Mannisto, S, Patel, Av, Peeters, Phm, Riboli, E, Shu, Xo, Sund, M, Thornquist, M, Tjønneland, A, Tobias, Gs, Trichopoulos, D, Wactawski Wende, J, Yu, H, Yu, K, Zeleniuch Jacquotte, A, Hoover, R, Hartge, P, Fuchs, C, Chanock, Sj, Stevens, V, Caporaso, Ne, Brennan, P, Mckay, J, Wu, X, Hung, Rj, Mclaughlin, Jr, Bickeboller, H, Risch, A, Wichmann, E, Houlston, R, Mann, G, Hopper, J, Aitken, J, Armstrong, B, Giles, G, Holland, E, Kefford, R, Cust, A, Jenkins, M, Schmid, H, Puig, S, Aguilera, P, Badenas, C, Barreiro, A, Carrera, C, Gabriel, D, Xavier, Pg, Iglesias Garcia, P, Malvehy, J, Mila, M, Pigem, R, Potrony, M, Batille, Ja, Marti, Gt, Hayward, N, Martin, N, Montgomery, G, Duffy, D, Whiteman, D, Gregor, Sm, Calista, D, Landi, G, Minghetti, P, Arcangeli, F, Bertazzi, Pa, Ghiorzo, Paola, Bianchi, Giovanna, Pastorino, Lorenza, Bruno, William, Andreotti, Virginia, Queirolo, P, Spagnolo, Francesco, Mackie, R, Lang, J, Gruis, N, van Nieuwpoort, Fa, Out, C, Bergman, W, Kukutsch, N, Bavinck, Jnb, Bakker, B, van der Stoep, N, Ter Huurne, J, van der Rhee, H, Bekkenk, M, Snels, D, van Praag, M, Brochez, L, Gerritsen, R, Crijns, M, Vasen, H, Janssen, B, Ingvar, C, Olsson, H, Jonsson, G, Borg, A, Harbst, K, Nielsen, K, Zander, As, Molvern, A, Helsing, P, Andresen, Pa, Rootwelt, H, Akslen, La, Bressac de Paillerets, B, Demenais, F, Avril, Mf, Chaudru, V, Jeannin, P, Lesueur, F, Maubec, E, Mohamdi, H, Bossard, M, Vaysse, A, Boitier, F, Caron, O, Caux, F, Dalle, S, Dereure, O, Leroux, D, Martin, L, Mateus, C, Robert, C, Stoppa Lyonnet, D, Thomas, L, Wierzbicka, E, Elder, D, Ming, M, Mitra, N, Debniak, T, Lubinski, J, Hocevar, M, Novakovic, S, Peric, B, Skerl, P, Hansson, J, Hoiom, V, Freidman, E, Azizi, E, Baron Epel, O, Scope, A, Pavlotsky, F, Cohen Manheim, I, Laitman, Y, Harland, M, Randerson Moor, J, Laye, J, Davies, J, Nsengimana, J, O'Shea, S, Chan, M, Gascoyne, J, Tucker, Ma, Goldstein, Am, and Yang, X. r.
- Subjects
0301 basic medicine ,Male ,Lung Neoplasms ,Skin Neoplasms ,General Physics and Astronomy ,Genome-wide association study ,VARIANTS ,Histones ,Skin cancer ,RNA, Small Interfering ,Melanoma ,Telomerase ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,Pancreas cancer ,Regulation of gene expression ,Genetics ,Zinc finger ,Gene knockdown ,Multidisciplinary ,Proteomics and Chromatin Biology ,TRICL Consortium ,Chromosome Mapping ,GenoMEL Consortium ,PANCREATIC-CANCER ,Multidisciplinary Sciences ,DNA-Binding Proteins ,Gene Expression Regulation, Neoplastic ,Science & Technology - Other Topics ,Chromosomes, Human, Pair 5 ,Female ,Lung cancer ,Signal Transduction ,SUSCEPTIBILITY LOCI ,Science ,Locus (genetics) ,Single-nucleotide polymorphism ,PROMOTES GROWTH ,Biology ,Polymorphism, Single Nucleotide ,Article ,General Biochemistry, Genetics and Molecular Biology ,03 medical and health sciences ,LUNG-CANCER ,Testicular Neoplasms ,Cell Line, Tumor ,MD Multidisciplinary ,Humans ,Genetic Predisposition to Disease ,QUANTITATIVE PROTEOMICS ,GENOME-WIDE ASSOCIATION ,Gene ,PanScan Consortium ,Càncer de pell ,Càncer de pàncrees ,Alleles ,Science & Technology ,Kirurgi ,HUMAN-CELLS ,Telomere Homeostasis ,Correction ,General Chemistry ,Molecular biology ,TERT-CLPTM1L LOCUS ,Telomere ,Pancreatic Neoplasms ,030104 developmental biology ,Genetic Loci ,TELOMERE LENGTH ,Càncer de pulmó ,Surgery ,Genètica ,Genome-Wide Association Study ,Transcription Factors - Abstract
Genome wide association studies (GWAS) have mapped multiple independent cancer susceptibility loci to chr5p15.33. Here, we show that fine-mapping of pancreatic and testicular cancer GWAS within one of these loci (Region 2 in CLPTM1L) focuses the signal to nine highly correlated SNPs. Of these, rs36115365-C associated with increased pancreatic and testicular but decreased lung cancer and melanoma risk, and exhibited preferred protein-binding and enhanced regulatory activity. Transcriptional gene silencing of this regulatory element repressed TERT expression in an allele-specific manner. Proteomic analysis identifies allele-preferred binding of Zinc finger protein 148 (ZNF148) to rs36115365-C, further supported by binding of purified recombinant ZNF148. Knockdown of ZNF148 results in reduced TERT expression, telomerase activity and telomere length. Our results indicate that the association with chr5p15.33-Region 2 may be explained by rs36115365, a variant influencing TERT expression via ZNF148 in a manner consistent with elevated TERT in carriers of the C allele., Genetic variants at multiple loci of chr5p15.33 have been associated with susceptibility to numerous cancers. Here the authors show that the association of one of these loci may be explained by a variant, rs36115365, influencing telomerase reverse transcriptase (TERT) expression via ZNF148.
- Published
- 2017
5. Pancreatic Cancer: Associations of Inflammatory Potential of Diet, Cigarette Smoking, and Long-Standing Diabetes
- Author
-
Antwi, SO, primary, Oberg, AL, additional, Shivappa, N, additional, Bamlet, WR, additional, Chaffee, KG, additional, Steck, SE, additional, Hebert, JR, additional, and Petersen, GM, additional
- Published
- 2016
- Full Text
- View/download PDF
6. Variable phenotype of familial adenomatous polyposis in pedigrees with 3′ mutation in the APC gene
- Author
-
Brensinger, JD, primary, Laken, SJ, additional, Luce, MC, additional, Powell, SM, additional, Vance, GH, additional, Ahnen, DJ, additional, Petersen, GM, additional, Hamilton, SR, additional, and Giardiello, FM, additional
- Published
- 1998
- Full Text
- View/download PDF
7. The role of 5-HTT LPR and GNβ3 825C>T polymorphisms and gene-environment interactions in irritable bowel syndrome (IBS).
- Author
-
Saito YA, Larson JJ, Atkinson EJ, Ryu E, Almazar AE, Petersen GM, Talley NJ, Saito, Yuri A, Larson, Joseph J, Atkinson, Elizabeth J, Ryu, Euijung, Almazar, Ann E, Petersen, Gloria M, and Talley, Nicholas J
- Abstract
Background: Smaller studies have evaluated SLC6A4 5-HTTLPR and GNβ3 825C>T polymorphisms in IBS, and interactions between 5-HTT LPR with life events have been reported in the psychiatric literature, but gene-environment studies in IBS are lacking.Aims: The purpose of this study was to assess the association of two polymorphisms with IBS and age of onset, and whether there are gene-environment interactions with IBS.Methods: Outpatients with IBS and controls completed a validated questionnaire and provided blood for DNA. Comparisons of genotype/allele frequencies between cases and controls were performed with logistic regression. Linear regression was used to evaluate the association between the variants and age of onset. Environmental variables tested included abuse, parental alcohol abuse, parental psychiatric disorders, and gastrointestinal infections.Results: Genotyping was performed in 385 cases and 262 controls with median age of 50 years (range, 18.0-70.0) and 498 (77 %) females. The IBS subtype distribution among cases was: 102 (26 %) D-IBS, 40 (10 %) C-IBS, 125 (32 %) M-IBS, 118 (31 %) other. No association was observed between IBS or age of onset and both variants. Significant interactions were observed between GI infection and the GNβ3 825T allele. For those reporting gastrointestinal infection, the OR for IBS was 3.9 (95 % CI 1.2-12.7) whereas the OR was 0.86 (95 % CI 0.65-1.13) for those without prior infection.Conclusions: There was a significant interaction between the GNβ3 polymorphism and infection in the development of IBS, suggesting that its etiology is the result of a combination of specific genetic and environmental risk factors. [ABSTRACT FROM AUTHOR]- Published
- 2012
8. Stool DNA testing for the detection of pancreatic cancer: assessment of methylation marker candidates.
- Author
-
Kisiel JB, Yab TC, Taylor WR, Chari ST, Petersen GM, Mahoney DW, Ahlquist DA, Kisiel, John B, Yab, Tracy C, Taylor, William R, Chari, Suresh T, Petersen, Gloria M, Mahoney, Douglas W, and Ahlquist, David A
- Abstract
Background: Pancreatic cancer (PanC) presents at late stage with high mortality. Effective early detection methods are needed. Aberrantly methylated genes are unexplored as markers for noninvasive detection by stool testing. The authors aimed to select discriminant methylated genes and to assess accuracy of these and mutant KRAS in stool to detect PanC.Methods: Nine target genes were assayed by real-time methylation-specific polymerase chain reaction (MSP) in bisulfite-treated DNA from microdissected frozen specimens of 24 PanC cases and 30 normal colon controls. Archived stools from 58 PanC cases and 65 controls matched on sex, age, and smoking were analyzed. Target genes from fecal supernatants were enriched by hybrid capture, bisulfite-treated, and assayed by MSP. KRAS mutations were assayed using the QuARTS technique.Results: Areas under the receiver operating characteristics curves (AUCs) for tissue BMP3, NDRG4, EYA4, UCHL1, MDFI, Vimentin, CNTNAP2, SFRP2, and TFPI2 were 0.90, 0.79, 0.78, 0.78, 0.77, 0.77, 0.69, 0.67, and 0.66, respectively. The top 4 markers and mutant KRAS were evaluated in stool. BMP3 was the most discriminant methylation marker in stool. At 90% specificity, methylated BMP3 alone detected 51% of PanCs, mutant KRAS detected 50%, and combination detected 67%. AUCs for methylated BMP3, mutant KRAS, and combination in stool were 0.73, 0.75, and 0.85, respectively.Conclusions: This study demonstrates that stool assay of a methylated gene marker can detect PanC. Among candidate methylated markers discriminant in tissue, BMP3 alone performed well in stool. Combining methylated BMP3 and mutant KRAS increased stool detection over either marker alone. [ABSTRACT FROM AUTHOR]- Published
- 2012
- Full Text
- View/download PDF
9. Anthropometric measures, body mass index, and pancreatic cancer: a pooled analysis from the Pancreatic Cancer Cohort Consortium (PanScan)
- Author
-
Arslan AA, Helzlsouer KJ, Kooperberg C, Shu XO, Steplowski E, Bueno-de-Mesquita HB, Fuchs CS, Gross MD, Jacobs EJ, Lacroix AZ, Petersen GM, Stolzenberg-Solomon RZ, Zheng W, Albanes D, Amundadottir L, Bamlet WR, Barricarte A, Bingham SA, Boeing H, and Boutron-Ruault MC
- Published
- 2010
- Full Text
- View/download PDF
10. Creating tomorrow's leaders in cancer prevention: a novel interdisciplinary career development program in cancer genetics research.
- Author
-
Blazer KR, MacDonald DJ, Justus KA, Grant M, Azen SP, Chamberlain RM, Petersen GM, King M, Weitzel JN, Blazer, Kathleen R, MacDonald, Deborah J, Justus, Kristine A, Grant, Marcia, Azen, Stanley P, Chamberlain, Robert M, Petersen, Gloria M, King, Marilyn, and Weitzel, Jeffrey N
- Abstract
Objective: To prepare oncology, genetics and molecular medicine professionals for basic, translational and epidemiological cancer genetics research through advanced training in a novel specialized cancer genetics career development program (CGCDP).Methods: Established in 2001, the City of Hope CGCDP is the only program in the NCI R25T portfolio focused on interdisciplinary training of oncologists and geneticists as cancer genetics and cancer prevention research program leaders. Program infrastructure, curriculum, recruitment strategies, implementation, evaluation and outcome are described.Results: During the initial four-year period, twelve highly qualified health care professionals were recruited for cancer genetics academic, experiential, and research training. All trainees presented abstracts, published peer-reviewed journal articles, and/or were awarded cancer genetics research grants. Most are now in academic/research venues, following a cancer genetics research career trajectory.Conclusion: The CGCDP is an NIH-funded program that has successfully trained doctoral and mid-level professionals in cancer genetics research. Program graduates are addressing the burden of cancer by translating cancer genetics investigations into individual risk assessment tools and effective cancer screening and prevention interventions. [ABSTRACT FROM AUTHOR]- Published
- 2006
11. Recommendations for the care of individuals with an inherited predisposition to Lynch syndrome: a systematic review.
- Author
-
Lindor NM, Petersen GM, Hadley DW, Kinney AY, Miesfeldt S, Lu KH, Lynch P, Burke W, Press N, Lindor, Noralane M, Petersen, Gloria M, Hadley, Donald W, Kinney, Anita Y, Miesfeldt, Susan, Lu, Karen H, Lynch, Patrick, Burke, Wylie, and Press, Nancy
- Abstract
Context: About 2% of all colorectal cancer occurs in the context of the autosomal dominantly inherited Lynch syndrome, which is due to mutations in mismatch repair genes. Potential risk-reducing interventions are recommended for individuals known to have these mutations.Objectives: To review cancer risks and data on screening efficacy in the context of Lynch syndrome (hereditary nonpolyposis colorectal cancer) and to provide recommendations for clinical management for affected families, based on available evidence and expert opinion.Data Sources and Study Selection: A systematic literature search using PubMed and the Cochrane Database of Systematic Reviews, reference list review of retrieved articles, manual searches of relevant articles, and direct communication with other researchers in the field. Search terms included hereditary non-polyposis colon cancer, Lynch syndrome, microsatellite instability, mismatch repair genes, and terms related to the biology of Lynch syndrome. Only peer-reviewed, full-text, English-language articles concerning human subjects published between January 1, 1996, and February 2006 were included. The US Preventive Services Task Force's 2-tier system was adapted to describe the quality of evidence and to assign strength to the recommendations for each guideline.Evidence Synthesis: The evidence supports colonoscopic surveillance for individuals with Lynch syndrome, although the optimal age at initiation and frequency of examinations is unresolved. Colonoscopy is recommended every 1 to 2 years starting at ages 20 to 25 years (age 30 years for those with MSH6 mutations), or 10 years younger than the youngest age of the person diagnosed in the family. While fully acknowledging absence of demonstrated efficacy, the following are also recommended annually: endometrial sampling and transvaginal ultrasound of the uterus and ovaries (ages 30-35 years); urinalysis with cytology (ages 25-35 years); history, examination, review of systems, education and genetic counseling regarding Lynch syndrome (age 21 years). Regular colonoscopy was favored for at-risk persons without colorectal neoplasia. For individuals who will undergo surgical resection of a colon cancer, subtotal colectomy is favored. Evidence supports the efficacy of prophylactic hysterectomy and oophorectomy.Conclusions: The past 10 years have seen major advances in the understanding of Lynch syndrome. Current recommendations regarding cancer screening and prevention require careful consultation between clinicians, clinical cancer genetic services, and well-informed patients. [ABSTRACT FROM AUTHOR]- Published
- 2006
- Full Text
- View/download PDF
12. Genetic testing for cancer in children: short-term psychological effect.
- Author
-
Codori A, Petersen GM, Boyd PA, Brandt J, and Giardiello FM
- Published
- 1996
- Full Text
- View/download PDF
13. Overweight, obesity, and pancreatic cancer: beyond risk alone.
- Author
-
McWilliams RR, Petersen GM, McWilliams, Robert R, and Petersen, Gloria M
- Published
- 2009
- Full Text
- View/download PDF
14. Familial pancreatic cancer.
- Author
-
Klein AP, Hruban RH, Brune KA, Petersen GM, and Goggins M
- Abstract
Pancreatic cancer is the fourth leading cause of cancer death in both men and women in the United States and will be responsible for an estimated 28,900 deaths in 2001. Relatively little is known of its etiology, and the only well-established risk factor is cigarette smoking. Studies over the past 3 decades have shown that 4%-16% of patients with pancreatic cancer have a family history of the disease. A small fraction of this aggregation can be accounted for in inherited cancer syndromes, including familial atypical multiple-mole melanoma, Peutz-Jeghers syndrome, hereditary breast-ovarian cancer, hereditary pancreatitis, and hereditary nonpolyposis colorectal cancer. These syndromes arise as a result of germline mutations in the BRCA2, pl6 (familial atypical multiple-mole melanoma), mismatch repair (hereditary nonpolyposis colorectal cancer), and STK11 (Peutz-Jeghers syndrome) genes. In addition, hereditary plays a role in predisposing certain patients with apparently sporadic pancreatic cancer. Many patients with pancreatic cancers caused by a germline mutation in a cancer-causing gene do not have a pedigree that is suggestive of a familial cancer syndrome. A recent prospective analysis of the pedigrees in the National Familial Pancreatic Tumor Registry found that individuals with a family history of pancreatic cancer in multiple first-degree relatives have a high risk of pancreatic cancer themselves. The identification of such high-risk individuals will help clinicians target screening programs and develop preventive interventions with the hope of reducing the mortality of pancreatic cancer in these families. [ABSTRACT FROM AUTHOR]
- Published
- 2001
15. Fluorescence in situ hybridization to visualize genetic abnormalities in interphase cells of acinar cell carcinoma, ductal adenocarcinoma, and islet cell carcinoma of the pancreas.
- Author
-
Dewald GW, Smyrk TC, Thorland EC, McWilliams RR, Van Dyke DL, Keefe JG, Belongie KJ, Smoley SA, Knutson DL, Fink SR, Wiktor AE, Petersen GM, Dewald, Gordon W, Smyrk, Thomas C, Thorland, Erik C, McWilliams, Robert R, Van Dyke, Daniel L, Keefe, Jeannette G, Belongie, Kimberly J, and Smoley, Stephanie A
- Abstract
Objective: To use fluorescence in situ hybridization (FISH) to visualize genetic abnormalities in interphase cell nuclei (interphase FISH) of acinar cell carcinoma, ductal adenocarcinoma, and islet cell carcinoma of the pancreas.Patients and Methods: Between April 4, 2007, and December 4, 2008, interphase FISH was used to study paraffin-embedded preparations of tissue obtained from 18 patients listed in the Mayo Clinic Biospecimen Resource for Pancreas Research with a confirmed diagnosis of acinar cell carcinoma, ductal adenocarcinoma, islet cell carcinoma, or pancreas without evidence of neoplasia. FISH probes were used for chromosome loci of APC (see glossary at end of article for expansion of all gene symbols), BRCA2, CTNNB1, EGFR, ERBB2, CDKN2A, TP53, TYMP, and TYMS. These FISH probes were used with control probes to distinguish among various kinds of chromosome abnormalities of number and structure.Results: FISH abnormalities were observed in 12 (80%) of 15 patients with pancreatic cancer: 5 of 5 patients with acinar cell carcinoma, 5 of 5 patients with ductal adenocarcinoma, and 2 (40%) of 5 patients with islet cell carcinoma. All 3 specimens of pancreatic tissue without neoplasia had normal FISH results. Gains of CTNNB1 due to trisomy 3 occurred in each tumor with acinar cell carcinoma but in none of the other tumors in this study. FISH abnormalities of all other cancer genes studied were observed in all forms of pancreatic tumors in this investigation.Conclusion: FISH abnormalities of CTNNB1 due to trisomy 3 were observed only in acinar cell carcinoma. FISH abnormalities of genes implicated in familial cancer, tumor progression, and the 5-fluorouracil pathway were common but were not associated with specific types of pancreatic cancer. [ABSTRACT FROM AUTHOR]- Published
- 2009
- Full Text
- View/download PDF
16. Primary chemoprevention of familial adenomatous polyposis with sulindac.
- Author
-
Giardiello FM, Yang VW, Hylind LM, Krush AJ, Petersen GM, Trimbath JD, Piantadosi S, Garrett E, Geiman DE, Hubbard W, Offerhaus GJA, Hamilton SR, Giardiello, Francis M, Yang, Vincent W, Hylind, Linda M, Krush, Anne J, Petersen, Gloria M, Trimbath, Jill D, Piantadosi, Steven, and Garrett, Elizabeth
- Abstract
Background: Familial adenomatous polyposis is caused by a germ-line mutation in the adenomatous polyposis coli gene and is characterized by the development of hundreds of colorectal adenomas and, eventually, colorectal cancer. Nonsteroidal antiinflammatory drugs can cause regression of adenomas, but whether they can prevent adenomas is unknown.Methods: We conducted a randomized, double-blind, placebo-controlled study of 41 young subjects (age range, 8 to 25 years) who were genotypically affected with familial adenomatous polyposis but phenotypically unaffected. The subjects received either 75 or 150 mg of sulindac orally twice a day or identical-appearing placebo tablets for 48 months. The number and size of new adenomas and side effects of therapy were evaluated every four months for four years, and the levels of five major prostaglandins were serially measured in biopsy specimens of normal-appearing colorectal mucosa.Results: After four years of treatment, the average rate of compliance exceeded 76 percent in the sulindac group, and mucosal prostaglandin levels were lower in this group than in the placebo group. During the course of the study, adenomas developed in 9 of 21 subjects (43 percent) in the sulindac group and 11 of 20 subjects in the placebo group (55 percent) (P=0.54). There were no significant differences in the mean number (P=0.69) or size (P=0.17) of polyps between the groups. Sulindac did not slow the development of adenomas, according to an evaluation involving linear longitudinal methods.Conclusions: Standard doses of sulindac did not prevent the development of adenomas in subjects with familial adenomatous polyposis. [ABSTRACT FROM AUTHOR]- Published
- 2002
17. Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer
- Author
-
Herbert Yu, Gabriele Capurso, Robert N. Hoover, Beatrice Mohelnikova-Duchonova, Amanda L. Blackford, Harvey A. Risch, H. Bas Bueno-de-Mesquita, Timothy J. Key, Stephen J. Chanock, Ann L. Oberg, Federico Canzian, Lingeng Lu, Maria Gazouli, Michelle Cotterchio, Daniele Campa, John P. Neoptolemos, Claudio Pasquali, Rachel E. Neale, Rayjean J. Hung, William R. Bamlet, Raffaele Pezzilli, Stefano Landi, Juozas Kupcinskas, Joseph M. Herman, Erica J. Childs, Ivana Holcatova, Steven Gallinger, Manal M. Hassan, Ewa Małecka-Panas, Pavel Vodicka, Donghui Li, Maarten F. Bijlsma, Irene Orlow, Lenka Foretova, Robert C. Kurtz, Yogesh K. Vashist, Francesca Tavano, Evelina Mocci, Amethyst Saldia, Michael Borges, Sean P. Cleary, Gloria M. Petersen, Brian M. Wolpin, Sara H. Olson, Kari G. Chaffee, Aldo Scarpa, Vladimir Janout, Elizabeth A. Holly, Niccola Funel, Hermann Brenner, Ghislaine Scelo, Laufey T. Amundadottir, Rachael Z. Stolzenberg-Solomon, Paige M. Bracci, Charles S. Fuchs, Paul Brennan, Oliver Strobel, Michael Goggins, Giulia Martina Cavestro, Cosmeri Rizzato, Andrea Mambrini, Alison P. Klein, CCA -Cancer Center Amsterdam, Radiotherapy, Childs, Ej, Mocci, E, Campa, D, Bracci, Pm, Gallinger, S, Goggins, M, Li, D, Neale, Re, Olson, Sh, Scelo, G, Amundadottir, Lt, Bamlet, Wr, Bijlsma, Mf, Blackford, A, Borges, M, Brennan, P, Brenner, H, Bueno de Mesquita, Hb, Canzian, F, Capurso, G, Cavestro, GIULIA MARTINA, Chaffee, Kg, Chanock, Sj, Cleary, Sp, Cotterchio, M, Foretova, L, Fuchs, C, Funel, N, Gazouli, M, Hassan, M, Herman, Jm, Holcatova, I, Holly, Ea, Hoover, Rn, Hung, Rj, Janout, V, Key, Tj, Kupcinskas, J, Kurtz, Rc, Landi, S, Lu, L, Malecka Panas, E, Mambrini, A, Mohelnikova Duchonova, B, Neoptolemos, Jp, Oberg, Al, Orlow, I, Pasquali, C, Pezzilli, R, Rizzato, C, Saldia, A, Scarpa, A, Stolzenberg Solomon, Rz, Strobel, O, Tavano, F, Vashist, Yk, Vodicka, P, Wolpin, Bm, Yu, H, Petersen, Gm, Risch, Ha, and Klein, A. P.
- Subjects
Male ,pancreatic cancer ,Genome-wide association study ,Gastroenterology ,Aged ,Australia ,Chromosomes, Human, Pair 17 ,Chromosomes, Human, Pair 2 ,Chromosomes, Human, Pair 3 ,Chromosomes, Human, Pair 7 ,Europe ,Female ,Gene Frequency ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Genotype ,Humans ,Middle Aged ,North America ,Pancreatic Neoplasms ,Risk Factors ,Polymorphism, Single Nucleotide ,Genetics ,Medicine (all) ,0302 clinical medicine ,CDKN2A ,0303 health sciences ,Single Nucleotide ,3. Good health ,030220 oncology & carcinogenesis ,Pair 3 ,Pair 2 ,Pair 7 ,Human ,medicine.medical_specialty ,PALB2 ,Biology ,Article ,Chromosomes ,03 medical and health sciences ,Internal medicine ,ABO blood group system ,Pancreatic cancer ,medicine ,Polymorphism ,030304 developmental biology ,Pair 17 ,Odds ratio ,medicine.disease ,Confidence interval ,pancreatic cancer, genome-wide association study - Abstract
Pancreatic cancer is the fourth leading cause of cancer death in the developed world. Both inherited high-penetrance mutations in BRCA2 (ref. 2), ATM, PALB2 (ref. 4), BRCA1 (ref. 5), STK11 (ref. 6), CDKN2A and mismatch-repair genes and low-penetrance loci are associated with increased risk. To identify new risk loci, we performed a genome-wide association study on 9,925 pancreatic cancer cases and 11,569 controls, including 4,164 newly genotyped cases and 3,792 controls in 9 studies from North America, Central Europe and Australia. We identified three newly associated regions: 17q25.1 (LINC00673, rs11655237, odds ratio (OR) = 1.26, 95% confidence interval (CI) = 1.19-1.34, P = 1.42 × 10(-14)), 7p13 (SUGCT, rs17688601, OR = 0.88, 95% CI = 0.84-0.92, P = 1.41 × 10(-8)) and 3q29 (TP63, rs9854771, OR = 0.89, 95% CI = 0.85-0.93, P = 2.35 × 10(-8)). We detected significant association at 2p13.3 (ETAA1, rs1486134, OR = 1.14, 95% CI = 1.09-1.19, P = 3.36 × 10(-9)), a region with previous suggestive evidence in Han Chinese. We replicated previously reported associations at 9q34.2 (ABO), 13q22.1 (KLF5), 5p15.33 (TERT and CLPTM1), 13q12.2 (PDX1), 1q32.1 (NR5A2), 7q32.3 (LINC-PINT), 16q23.1 (BCAR1) and 22q12.1 (ZNRF3). Our study identifies new loci associated with pancreatic cancer risk.
- Published
- 2015
18. Combined circulating tumor DNA and protein biomarker-based liquid biopsy for the earlier detection of pancreatic cancers
- Author
-
Gloria M. Petersen, Ammar A. Javed, Alison P. Klein, Matthew J. Weiss, Janine Ptak, Nickolas Papadopoulos, Ralph H. Hruban, Peter Gibbs, Peter J. Allen, Martin A. Makary, Marco Dal Molin, Jin He, Cristian Tomasetti, Yuxuan Wang, Natalie Silliman, Lisa Dobbyn, Lu Li, Christopher L. Wolfgang, Jeanne Tie, Christopher J. Thoburn, Bert Vogelstein, Fay Wong, Claudio Doglioni, Kenneth W. Kinzler, Michele T. Yip-Schneider, Randall E. Brand, Maria Popoli, Massimo Falconi, Aatur D. Singhi, Samir M. Hanash, Mark A. Schattner, Anirban Maitra, Seung-Mo Hong, Joshua D. Cohen, Joy Schaefer, Michael Goggins, C. Max Schmidt, Song Cheol Kim, Nita Ahuja, Anne Marie Lennon, Cohen, Jd, Javed, Aa, Thoburn, C, Wong, F, Tie, J, Gibbs, P, Schmidt, Cm, Yip-Schneider, Mt, Allen, Pj, Schattner, M, Brand, Re, Singhi, Ad, Petersen, Gm, Hong, Sm, Kim, Sc, Falconi, M, Doglioni, C, Weiss, Mj, Ahuja, N, He, J, Makary, Ma, Maitra, A, Hanash, Sm, Dal Molin, M, Wang, Y, Li, L, Ptak, J, Dobbyn, L, Schaefer, J, Silliman, N, Popoli, M, Goggins, Mg, Hruban, Rh, Wolfgang, Cl, Klein, Ap, Tomasetti, C, Papadopoulos, N, Kinzler, Kw, Vogelstein, B, and Lennon, Am
- Subjects
Male ,0301 basic medicine ,Oncology ,medicine.medical_specialty ,Pathology ,CA-19-9 Antigen ,Biology ,Gene mutation ,medicine.disease_cause ,Circulating Tumor DNA ,Proto-Oncogene Proteins p21(ras) ,03 medical and health sciences ,0302 clinical medicine ,Pancreatic cancer ,Internal medicine ,medicine ,Carcinoma ,Humans ,Liquid biopsy ,Aged ,Multidisciplinary ,Liquid Biopsy ,Cancer ,Middle Aged ,Biological Sciences ,Genes, p53 ,medicine.disease ,Primary tumor ,Pancreatic Neoplasms ,030104 developmental biology ,Case-Control Studies ,030220 oncology & carcinogenesis ,Biomarker (medicine) ,Female ,KRAS ,Carcinoma, Pancreatic Ductal - Abstract
The earlier diagnosis of cancer is one of the keys to reducing cancer deaths in the future. Here we describe our efforts to develop a noninvasive blood test for the detection of pancreatic ductal adenocarcinoma. We combined blood tests for KRAS gene mutations with carefully thresholded protein biomarkers to determine whether the combination of these markers was superior to any single marker. The cohort tested included 221 patients with resectable pancreatic ductal adenocarcinomas and 182 control patients without known cancer. KRAS mutations were detected in the plasma of 66 patients (30%), and every mutation found in the plasma was identical to that subsequently found in the patient's primary tumor (100% concordance). The use of KRAS in conjunction with four thresholded protein biomarkers increased the sensitivity to 64%. Only one of the 182 plasma samples from the control cohort was positive for any of the DNA or protein biomarkers (99.5% specificity). This combinatorial approach may prove useful for the earlier detection of many cancer types.
- Published
- 2017
19. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
- Author
-
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.
- Published
- 2014
20. Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21
- Author
-
Anne Tjønneland, Jason W. Hoskins, Kala Visvanathan, Yogesh K. Vashist, Dimitrios Trichopoulos, Matthew H. Kulke, Ruth C. Travis, Charles S. Fuchs, Herbert Yu, Kai Yu, Phyllis J. Goodman, Michael Goggins, Jean Wactawski-Wende, Laurie Burdette, Joanne W. Elena, Andrea Mambrini, Petra H.M. Peeters, H. Bas Bueno-de-Mesquita, Maria Teresa Landi, Ulrike Peters, Mingfeng Zhang, Laurence N. Kolonel, Hermann Brenner, Elżbieta Iskierka-Jażdżewska, Robert C. Kurtz, Stephen J. Chanock, Marie-Christine Boutron-Ruault, Ann L. Oberg, Elio Riboli, Maarten F. Bijlsma, Eric J. Jacobs, Manolis Kogevinas, Evelina Mocci, Steven Gallinger, Jinping Jia, Mark P. Purdue, Raffaele Pezzilli, Harvey A. Risch, Demetrius Albanes, Irene Collins, Maria Gazouli, Michelle Cotterchio, Oliver Strobel, Erica J. Childs, Charles C. Chung, Geoffrey S. Tobias, J. Ramón Quirós, Núria Malats, Robert N. Hoover, Pavel Vodicka, Brian M. Wolpin, Ugo Boggi, Patricia Hartge, Gloria M. Petersen, Peter Kraft, Christopher Hautman, Gary E. Goodman, Manal Hassan, Donghui Li, Howard D. Sesso, Malin Sund, Julie E. Buring, Loic Le Marchand, Wei Zheng, Xiao-Ou Shu, Ewa Małecka-Panas, Pavel Soucek, Salvatore Panico, Nicolas Wentzensen, Graham G. Giles, Alpa V. Patel, Daniele Campa, Myron D. Gross, Ghislaine Scelo, J. Michael Gaziano, Juozas Kupcinskas, Debra T. Silverman, Laufey T. Amundadottir, Rachael S. Stolzenberg-Solomon, Neil E. Caporaso, Mazda Jenab, Sara H. Olson, Stefano Landi, Giulia Martina Cavestro, Aruna Kamineni, Laura Beane-Freeman, Roger L. Milne, Rachel E. Neale, Aldo Scarpa, Kathy J. Helzlsouer, Miquel Porta, Emily White, Eric J. Duell, Paige M. Bracci, Nan Hu, Federico Canzian, Eric A. Klein, Gabriele Capurso, Anne Zeleniuch-Jacquotte, Eithne Costello, David J. Hunter, Rudolf Kaaks, Sonja I. Berndt, Kay-Tee Khaw, Nathaniel Rothman, Christian C. Abnet, Francesca Tavano, Christopher A. Haiman, Zhaoming Wang, Ofure Obazee, Alan A. Arslan, Edward Giovannucci, Alison P. Klein, Daniela Basso, Charles Kooperberg, Philip R. Taylor, Satu Männistö, Timothy J. Key, Mark D. Thornquist, Gabriella Andreotti, Lauren K. Brais, Gisella Figlioli, Vittorio Krogh, University Medical Center Utrecht, Imperial College Trust, Cancer Research UK, Medical Research Council UK (MRC), National Institute for Health Research (NIHR), Cancer Research UK (Reino Unido), Medical Research Council (Reino Unido), National Institute for Health Research (Reino Unido), Zhang, Mingfeng, Wang, Zhaoming, Obazee, Ofure, Jia, Jinping, Childs, Erica J, Hoskins, Jason, Figlioli, Gisella, Mocci, Evelina, Collins, Irene, Chung, Charles C, Hautman, Christopher, Arslan, Alan A, Beane Freeman, Laura, Bracci, Paige M, Buring, Julie, Duell, Eric J, Gallinger, Steven, Giles, Graham G, Goodman, Gary E, Goodman, Phyllis J, Kamineni, Aruna, Kolonel, Laurence N, Kulke, Matthew H, Malats, Núria, Olson, Sara H, Sesso, Howard D, Visvanathan, Kala, White, Emily, Zheng, Wei, Abnet, Christian C, Albanes, Demetriu, Andreotti, Gabriella, Brais, Lauren, Bueno de Mesquita, H. Ba, Basso, Daniela, Berndt, Sonja I, Boutron Ruault, Marie Christine, Bijlsma, Maarten F, Brenner, Hermann, Burdette, Laurie, Campa, Daniele, Caporaso, Neil E, Capurso, Gabriele, Cavestro, Giulia Martina, Cotterchio, Michelle, Costello, Eithne, Elena, Joanne, Boggi, Ugo, Gaziano, J. Michael, Gazouli, Maria, Giovannucci, Edward L, Goggins, Michael, Gross, Myron, Haiman, Christopher A, Hassan, Manal, Helzlsouer, Kathy J, Hu, Nan, Hunter, David J, Iskierka Jazdzewska, Elzbieta, Jenab, Mazda, Kaaks, Rudolf, Key, Timothy J, Khaw, Kay Tee, Klein, Eric A, Kogevinas, Manoli, Krogh, Vittorio, Kupcinskas, Juoza, Kurtz, Robert C, Landi, Maria T, Landi, Stefano, Le Marchand, Loic, Mambrini, Andrea, Mannisto, Satu, Milne, Roger L, Neale, Rachel E, Oberg, Ann L, Panico, Salvatore, Patel, Alpa V, Peeters, Petra H. M, Peters, Ulrike, Pezzilli, Raffaele, Porta, Miquel, Purdue, Mark, Quiros, J. Ramón, Riboli, Elio, Rothman, Nathaniel, Scarpa, Aldo, Scelo, Ghislaine, Shu, Xiao Ou, Silverman, Debra T, Soucek, Pavel, Strobel, Oliver, Sund, Malin, Małecka Panas, Ewa, Taylor, Philip R, Tavano, Francesca, Travis, Ruth C, Thornquist, Mark, Tjønneland, Anne, Tobias, Geoffrey S, Trichopoulos, Dimitrio, Vashist, Yogesh, Vodicka, Pavel, Wactawski Wende, Jean, Wentzensen, Nicola, Yu, Herbert, Yu, Kai, Zeleniuch Jacquotte, Anne, Kooperberg, Charle, Risch, Harvey A, Jacobs, Eric J, Li, Donghui, Fuchs, Charle, Hoover, Robert, Hartge, Patricia, Chanock, Stephen J, Petersen, Gloria M, Stolzenberg Solomon, Rachael S, Wolpin, Brian M, Kraft, Peter, Klein, Alison P, Canzian, Federico, Amundadottir, Laufey T., Khaw, Kay-Tee [0000-0002-8802-2903], Apollo - University of Cambridge Repository, CCA -Cancer Center Amsterdam, Center of Experimental and Molecular Medicine, Radiotherapy, Zhang, M, Wang, Z, Obazee, O, Jia, J, Childs, Ej, Hoskins, J, Figlioli, G, Mocci, E, Collins, I, Chung, Cc, Hautman, C, Arslan, Aa, Beane Freeman, L, Bracci, Pm, Buring, J, Duell, Ej, Gallinger, S, Giles, Gg, Goodman, Ge, Goodman, Pj, Kamineni, A, Kolonel, Ln, Kulke, Mh, Malats, N, Olson, Sh, Sesso, Hd, Visvanathan, K, White, E, Zheng, W, Abnet, Cc, Albanes, D, Andreotti, G, Brais, L, Bueno de Mesquita, Hb, Basso, D, Berndt, Si, Boutron Ruault, Mc, Bijlsma, Mf, Brenner, H, Burdette, L, Campa, D, Caporaso, Ne, Capurso, G, Cavestro, GIULIA MARTINA, Cotterchio, M, Costello, E, Elena, J, Boggi, U, Gaziano, Jm, Gazouli, M, Giovannucci, El, Goggins, M, Gross, M, Haiman, Ca, Hassan, M, Helzlsouer, Kj, Hu, N, Hunter, Dj, Iskierka Jazdzewska, E, Jenab, M, Kaaks, R, Key, Tj, Khaw, Kt, Klein, Ea, Kogevinas, M, Krogh, V, Kupcinskas, J, Kurtz, Rc, Landi, Mt, Landi, S, Le Marchand, L, Mambrini, A, Mannisto, S, Milne, Rl, Neale, Re, Oberg, Al, Panico, S, Patel, Av, Peeters, Ph, Peters, U, Pezzilli, R, Porta, M, Purdue, M, Quiros, Jr, Riboli, E, Rothman, N, Scarpa, A, Scelo, G, Shu, Xo, Silverman, Dt, Soucek, P, Strobel, O, Sund, M, Małecka Panas, E, Taylor, Pr, Tavano, F, Travis, Rc, Thornquist, M, Tjønneland, A, Tobias, G, Trichopoulos, D, Vashist, Y, Vodicka, P, Wactawski Wende, J, Wentzensen, N, Yu, H, Yu, K, Zeleniuch Jacquotte, A, Kooperberg, C, Risch, Ha, Jacobs, Ej, Li, D, Fuchs, C, Hoover, R, Hartge, P, Chanock, Sj, Petersen, Gm, Stolzenberg Solomon, R, Wolpin, Bm, Kraft, P, Klein, Ap, Canzian, F, and Amundadottir, L. T.
- Subjects
0301 basic medicine ,Candidate gene ,Pancreatic disease ,GENETIC SUSCEPTIBILITY ,pancreatic cancer ,Datasets as Topic ,Genome-wide association study ,imputation ,TRET ,0302 clinical medicine ,Fine-mapping ,GWAS ,Imputation ,NR5A2 ,Pancreatic cancer ,Oncology ,Genotype ,Genetics ,3. Good health ,fine-mapping ,Chromosomes, Human, Pair 1 ,030220 oncology & carcinogenesis ,Chromosomes, Human, Pair 5 ,Chromosomes, Human, Pair 8 ,616.37-006.6 [udc] ,BLADDER-CANCER ,Single-nucleotide polymorphism ,GENOTYPE IMPUTATION ,BREAST ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Journal Article ,medicine ,Humans ,Genetic Predisposition to Disease ,GENOME-WIDE ASSOCIATION ,Pàncrees -- Càncer ,Cancer och onkologi ,LONG-RANGE INTERACTION ,business.industry ,medicine.disease ,Pancreatic neoplasms ,genetics ,Polymorphism, single nucleotide ,RISK LOCI ,Fold change ,COMMON VARIANT ,Cromosomes ,Pancreatic Neoplasms ,030104 developmental biology ,Cancer and Oncology ,business ,Imputation (genetics) ,LRH-1 ,Priority Research Paper ,Genome-Wide Association Study - Abstract
Altres ajuts: The authors acknowledge the contribution of the staff of the Cancer Genomics Research Laboratory (CGR) at the National Cancer Institute, NIH, for their help throughout the project. This work was supported by the Intramural Research Program of the US National Institutes of Health (NIH), National Cancer Institute. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. Additional acknowledgements for individual participating studies are listed in the Supplemental Materials. Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88×10 −15), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22×10 −9) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70×10 −8). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 (NR5A2), chr8q24.21 (MYC) and chr5p15.33 (CLPTM1L - TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal (n = 10) and tumor (n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7×10 −8). This finding was validated in a second set of paired (n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5×10 −4 -2.0×10 −3). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.
- Published
- 2016
21. Genes-environment interactions in obesity- and diabetes-associated pancreatic cancer: A GWAS data analysis
- Author
-
Elio Riboli, Hong Wei Tang, Rudolf Kaaks, Gloria M. Petersen, Paige M. Bracci, Anne Tjønneland, Mazda Jenab, H. Bas Bueno-de-Mesquita, Petra H.M. Peeters, Elizabeth A. Holly, Donghui Li, Dimitrios Trichopoulos, Peng Wei, Kay-Tee Khaw, Harvey A. Risch, Malin Sund, Steven Gallinger, Salvatore Panico, Eric J. Duell, Sara H. Olson, Marie-Christine Boutron-Ruault, Robert R. McWilliams, Christopher I. Amos, Tang, H, Wei, P, Duell, Ej, Risch, Ha, Olson, Sh, Bueno de Mesquita, Hb, Gallinger, S, Holly, Ea, Petersen, Gm, Bracci, Pm, Mcwilliams, Rr, Jenab, M, Riboli, E, Tj?nneland, A, Boutron Ruault, Mc, Kaaks, R, Trichopoulos, D, Panico, Salvatore, Sund, M, Peeters, Ph, Khaw, Kt, Amos, Ci, and Li, D.
- Subjects
Male ,Genotype ,Epidemiology ,Genome-wide association study ,Bioinformatics ,Polymorphism, Single Nucleotide ,Article ,Diabetes Complications ,Diabetes mellitus genetics ,Risk Factors ,Diabetes mellitus ,Pancreatic cancer ,medicine ,Diabetes Mellitus ,Humans ,Obesity ,Gene–environment interaction ,Gene ,Aged ,Genetics ,business.industry ,Middle Aged ,medicine.disease ,Pancreatic Neoplasms ,Oncology ,Female ,Gene-Environment Interaction ,business ,Genome-Wide Association Study - Abstract
Background: Obesity and diabetes are potentially alterable risk factors for pancreatic cancer. Genetic factors that modify the associations of obesity and diabetes with pancreatic cancer have previously not been examined at the genome-wide level. Methods: Using genome-wide association studies (GWAS) genotype and risk factor data from the Pancreatic Cancer Case Control Consortium, we conducted a discovery study of 2,028 cases and 2,109 controls to examine gene–obesity and gene–diabetes interactions in relation to pancreatic cancer risk by using the likelihood-ratio test nested in logistic regression models and Ingenuity Pathway Analysis (IPA). Results: After adjusting for multiple comparisons, a significant interaction of the chemokine signaling pathway with obesity (P = 3.29 × 10−6) and a near significant interaction of calcium signaling pathway with diabetes (P = 1.57 × 10−4) in modifying the risk of pancreatic cancer were observed. These findings were supported by results from IPA analysis of the top genes with nominal interactions. The major contributing genes to the two top pathways include GNGT2, RELA, TIAM1, and GNAS. None of the individual genes or single-nucleotide polymorphism (SNP) except one SNP remained significant after adjusting for multiple testing. Notably, SNP rs10818684 of the PTGS1 gene showed an interaction with diabetes (P = 7.91 × 10−7) at a false discovery rate of 6%. Conclusions: Genetic variations in inflammatory response and insulin resistance may affect the risk of obesity- and diabetes-related pancreatic cancer. These observations should be replicated in additional large datasets. Impact: A gene–environment interaction analysis may provide new insights into the genetic susceptibility and molecular mechanisms of obesity- and diabetes-related pancreatic cancer. Cancer Epidemiol Biomarkers Prev; 23(1); 98–106. ©2013 AACR.
- Published
- 2013
22. Genome-wide Association Study Of Survival In Patients With Pancreatic Adenocarcinoma
- Author
-
Kala Visvanathan, Jean Wactawski-Wende, Salvatore Panico, Andrea Z. LaCroix, Patricia Hartge, Charles S. Fuchs, Chen Wu, Mazda Jenab, Chengfeng Wang, Brian M. Wolpin, Poorva Mudgal, Anne Zeleniuch-Jacquotte, Kay-Tee Khaw, Laufey T. Amundadottir, Elio Riboli, Marie-Christine Boutron-Ruault, Edward Giovannucci, Wei Zheng, Federico Canzian, Guoliang Jiang, Emily Steplowski, Julie E. Buring, H. Bas Bueno-de-Mesquita, Myron D. Gross, Michelle Brotzman, Eric J. Jacobs, Joanne W. Elena, Demetrius Albanes, Eric J. Duell, Stephen J. Chanock, Dongxin Lin, Göran Hallmans, David J. Hunter, Charles Kooperberg, Geoffrey S. Tobias, Alan A. Arslan, Zhi Rong Qian, Guangwen Cao, Anne Tjønneland, Kathy J. Helzlsouer, Alpa V. Patel, Howard D. Sesso, Jarmo Virtamo, Rachael Z. Stolzenberg-Solomon, Robert N. Hoover, J. Michael Gaziano, Mousheng Xu, Hongbing Shen, Gloria M. Petersen, Kai Yu, Peter Kraft, Xiao-Ou Shu, Dimitrios Trichopoulos, Zhao-Shen Li, Julie B. Mendelsohn, Amy Hutchinson, Wu, C, Kraft, P, Stolzenberg Solomon, R, Steplowski, E, Brotzman, M, Xu, M, Mudgal, P, Amundadottir, L, Arslan, Aa, Bueno de Mesquita, Hb, Gross, M, Helzlsouer, K, Jacobs, Ej, Kooperberg, C, Petersen, Gm, Zheng, W, Albanes, D, Boutron Ruault, Mc, Buring, Je, Canzian, F, Cao, G, Duell, Ej, Elena, Jw, Gaziano, Jm, Giovannucci, El, Hallmans, G, Hutchinson, A, Hunter, Dj, Jenab, M, Jiang, G, Khaw, Kt, Lacroix, A, Li, Z, Mendelsohn, Jb, Panico, Salvatore, Patel, Av, Qian, Zr, Riboli, E, Sesso, H, Shen, H, Shu, Xo, Tjonneland, A, Tobias, G, Trichopoulos, D, Virtamo, J, Visvanathan, K, Wactawski Wende, J, Wang, C, Yu, K, Zeleniuch Jacquotte, A, Chanock, S, Hoover, R, Hartge, P, Fuchs, C, Lin, D, and Wolpin, Bm
- Subjects
Oncology ,Male ,Genome-wide association study ,Kaplan-Meier Estimate ,Gastroenterology ,0302 clinical medicine ,Models ,80 and over ,2.1 Biological and endogenous factors ,Non-Receptor ,Pancreas cancer ,Cancer ,Aged, 80 and over ,0303 health sciences ,Principal Component Analysis ,Molecular Epidemiology ,Tumor ,Single Nucleotide ,Middle Aged ,Protein Tyrosine Phosphatases, Non-Receptor ,3. Good health ,Survival Rate ,Europe ,030220 oncology & carcinogenesis ,Adenocarcinoma ,Female ,Adult ,Asian Continental Ancestry Group ,medicine.medical_specialty ,China ,European Continental Ancestry Group ,Clinical Sciences ,and over ,Biology ,Genetic polymorphisms ,Polymorphism, Single Nucleotide ,White People ,Article ,Paediatrics and Reproductive Medicine ,03 medical and health sciences ,Pancreatic Cancer ,Rare Diseases ,Asian People ,Genetic ,Internal medicine ,Pancreatic cancer ,Biomarkers, Tumor ,medicine ,Cancer Genetics ,Genetics ,Humans ,In patient ,Polymorphism ,Càncer de pàncrees ,030304 developmental biology ,Proportional Hazards Models ,Aged ,Models, Genetic ,Molecular epidemiology ,Gastroenterology & Hepatology ,Prevention ,Polimorfisme genètic ,Human Genome ,medicine.disease ,Pancreatic Neoplasms ,Cancer genetics ,Protein Tyrosine Phosphatases ,Digestive Diseases ,Biomarkers ,Follow-Up Studies ,Genome-Wide Association Study - Abstract
Background and objective: Survival of patients with pancreatic adenocarcinoma is limited and few prognostic factors are known. We conducted a two-stage genome-wide association study (GWAS) to identify germline variants associated with survival in patients with pancreatic adenocarcinoma. Methods: We analysed overall survival in relation to single nucleotide polymorphisms (SNPs) among 1005 patients from two large GWAS datasets, PanScan I and ChinaPC. Cox proportional hazards regression was used in an additive genetic model with adjustment for age, sex, clinical stage and the top four principal components of population stratification. The first stage included 642 cases of European ancestry (PanScan), from which the top SNPs (p10(-5)) were advanced to a joint analysis with 363 additional patients from China (ChinaPC). Results: In the first stage of cases of European descent, the top-ranked loci were at chromosomes 11p15.4, 18p11.21 and 1p36.13, tagged by rs12362504 (p=1.63x10(-7)), rs981621 (p=1.65x10(-7)) and rs16861827 (p=3.75x10(-7)), respectively. 131 SNPs with p10(-5) were advanced to a joint analysis with cases from the ChinaPC study. In the joint analysis, the top-ranked SNP was rs10500715 (minor allele frequency, 0.37; p=1.72x10(-7)) on chromosome 11p15.4, which is intronic to the SET binding factor 2 (SBF2) gene. The HR (95% CI) for death was 0.74 (0.66 to 0.84) in PanScan I, 0.79 (0.65 to 0.97) in ChinaPC and 0.76 (0.68 to 0.84) in the joint analysis. Conclusions: Germline genetic variation in the SBF2 locus was associated with overall survival in patients with pancreatic adenocarcinoma of European and Asian ancestry. This association should be investigated in additional large patient cohorts.
23. Infra-Hisian Conduction Disturbance and Alternating Left Anterior/Posterior Fascicular Block.
- Author
-
Lacharite-Roberge AS, Petersen GM, Patel K, Hsu JC, Han FT, Feld GK, Scheinman M, and Hoffmayer KS
- Abstract
We present an unusual case of alternating left anterior and left posterior fascicular block. Given the known risk for progression to complete atrioventricular block with alternating right bundle and left bundle branch block, we performed an electrophysiological study. Findings were consistent with infra-Hisian disease, and the patient underwent pacemaker implantation., Competing Interests: The authors have reported that they have no relationships relevant to the contents of this paper to disclose., (© 2024 The Authors.)
- Published
- 2024
- Full Text
- View/download PDF
24. A Randomized Trial of Two Remote Health Care Delivery Models on the Uptake of Genetic Testing and Impact on Patient-Reported Psychological Outcomes in Families With Pancreatic Cancer: The Genetic Education, Risk Assessment, and Testing (GENERATE) Study.
- Author
-
Rodriguez NJ, Furniss CS, Yurgelun MB, Ukaegbu C, Constantinou PE, Fortes I, Caruso A, Schwartz AN, Stopfer JE, Underhill-Blazey M, Kenner B, Nelson SH, Okumura S, Zhou AY, Coffin TB, Uno H, Horiguchi M, Ocean AJ, McAllister F, Lowy AM, Klein AP, Madlensky L, Petersen GM, Garber JE, Lippman SM, Goggins MG, Maitra A, and Syngal S
- Subjects
- Humans, Male, Female, Middle Aged, Risk Assessment, Aged, Anxiety psychology, Anxiety diagnosis, Anxiety etiology, Adult, Depression diagnosis, Depression genetics, Depression psychology, Genetic Counseling psychology, Germ-Line Mutation, Family psychology, Pancreatic Neoplasms genetics, Pancreatic Neoplasms psychology, Pancreatic Neoplasms diagnosis, Genetic Testing, Carcinoma, Pancreatic Ductal genetics, Carcinoma, Pancreatic Ductal psychology, Carcinoma, Pancreatic Ductal diagnosis, Carcinoma, Pancreatic Ductal therapy, Genetic Predisposition to Disease psychology, Patient Reported Outcome Measures, Telemedicine
- Abstract
Background & Aims: Genetic testing uptake for cancer susceptibility in family members of patients with cancer is suboptimal. Among relatives of patients with pancreatic ductal adenocarcinoma (PDAC), The GENetic Education, Risk Assessment, and TEsting (GENERATE) study evaluated 2 online genetic education/testing delivery models and their impact on patient-reported psychological outcomes., Methods: Eligible participants had ≥1 first-degree relative with PDAC, or ≥1 first-/second-degree relative with PDAC with a known pathogenic germline variant in 1 of 13 PDAC predisposition genes. Participants were randomized by family, between May 8, 2019, and June 1, 2021. Arm 1 participants underwent a remote interactive telemedicine session and online genetic education. Arm 2 participants were offered online genetic education only. All participants were offered germline testing. The primary outcome was genetic testing uptake, compared by permutation tests and mixed-effects logistic regression models. We hypothesized that Arm 1 participants would have a higher genetic testing uptake than Arm 2. Validated surveys were administered to assess patient-reported anxiety, depression, and cancer worry at baseline and 3 months postintervention., Results: A total of 424 families were randomized, including 601 participants (n = 296 Arm 1; n = 305 Arm 2), 90% of whom completed genetic testing (Arm 1 [87%]; Arm 2 [93%], P = .014). Arm 1 participants were significantly less likely to complete genetic testing compared with Arm 2 participants (adjusted ratio [Arm1/Arm2] 0.90, 95% confidence interval 0.78-0.98). Among participants who completed patient-reported psychological outcomes questionnaires (Arm 1 [n = 194]; Arm 2 [n = 206]), the intervention did not affect mean anxiety, depression, or cancer worry scores., Conclusions: Remote genetic education and testing can be a successful and complementary option for delivering genetics care. (Clinicaltrials.gov, number NCT03762590)., (Copyright © 2024 AGA Institute. Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
25. Assessing the pulmonary vascular responsiveness to oxygen with proton MRI.
- Author
-
Kizhakke Puliyakote AS, Tedjasaputra V, Petersen GM, Sá RC, and Hopkins SR
- Subjects
- Humans, Young Adult, Adult, Middle Aged, Oxygen, Protons, Pulmonary Circulation physiology, Lung physiology, Hypoxia, Vasoconstriction physiology, Magnetic Resonance Imaging methods, Hyperoxia, Papillomavirus Infections
- Abstract
Ventilation-perfusion matching occurs passively and is also actively regulated through hypoxic pulmonary vasoconstriction (HPV). The extent of HPV activity in humans, particularly normal subjects, is uncertain. Current evaluation of HPV assesses changes in ventilation-perfusion relationships/pulmonary vascular resistance with hypoxia and is invasive, or unsuitable for patients because of safety concerns. We used a noninvasive imaging-based approach to quantify the pulmonary vascular response to oxygen as a metric of HPV by measuring perfusion changes between breathing 21% and 30%O
2 using arterial spin labeling (ASL) MRI. We hypothesized that the differences between 21% and 30%O2 images reflecting HPV release would be 1 ) significantly greater than the differences without [Formula: see text] changes (e.g., 21-21% and 30-30%O2 ) and 2 ) negatively associated with ventilation-perfusion mismatch. Perfusion was quantified in the right lung in normoxia (baseline), after 15 min of 30% O2 breathing (hyperoxia) and 15 min normoxic recovery (recovery) in healthy subjects (7 M, 7 F; age = 41.4 ± 19.6 yr). Normalized, smoothed, and registered pairs of perfusion images were subtracted and the mean square difference (MSD) was calculated. Separately, regional alveolar ventilation and perfusion were quantified from specific ventilation, proton density, and ASL imaging; the spatial variance of ventilation-perfusion (σ2 V̇a/Q̇) distributions was calculated. The O2 -responsive MSD was reproducible ( R2 = 0.94, P < 0.0001) and greater (0.16 ± 0.06, P < 0.0001) than that from subtracted images collected under the same [Formula: see text] (baseline = 0.09 ± 0.04, hyperoxia = 0.08 ± 0.04, recovery = 0.08 ± 0.03), which were not different from one another ( P = 0.2). The O2 -responsive MSD was correlated with σ2 V̇a/Q̇ ( R2 = 0.47, P = 0.007). These data suggest that active HPV optimizes ventilation-perfusion matching in normal subjects. This noninvasive approach could be applied to patients with different disease phenotypes to assess HPV and ventilation-perfusion mismatch. NEW & NOTEWORTHY We developed a new proton MRI method to noninvasively quantify the pulmonary vascular response to oxygen. Using a hyperoxic stimulus to release HPV, we quantified the resulting redistribution of perfusion. The differences between normoxic and hyperoxic images were greater than those between images without [Formula: see text] changes and negatively correlated with ventilation-perfusion mismatch. This suggests that active HPV optimizes ventilation-perfusion matching in normal subjects. This approach is suitable for assessing patients with different disease phenotypes.- Published
- 2024
- Full Text
- View/download PDF
26. Polycyclic Aromatic Hydrocarbons and Pancreatic Cancer: An Analysis of the Blood Biomarker, r -1, t -2,3, c -4-Tetrahydroxy-1,2,3,4-tetrahydrophenanthrene and Selected Metabolism Gene SNPs.
- Author
-
Nguyen S, Carlson H, Yoder A, Bamlet WR, Oberg AL, Petersen GM, Carmella SG, Hecht SS, and Jansen RJ
- Subjects
- Humans, Biomarkers, Polymorphism, Single Nucleotide, Adenocarcinoma, Diabetes Mellitus, Type 2, Pancreatic Neoplasms, Phenanthrenes, Polycyclic Aromatic Hydrocarbons
- Abstract
Exposure to polycyclic aromatic hydrocarbons (PAHs), byproducts of incomplete combustion, and their effects on the development of cancer are still being evaluated. Recent studies have analyzed the relationship between PAHs and tobacco or dietary intake in the form of processed foods and smoked/well-done meats. This study aims to assess the association of a blood biomarker and metabolite of PAHs, r -1, t -2,3, c -4-tetrahydroxy-1,2,3,4-tetrahydrophenanthrene (PheT), dietary intake, selected metabolism SNPs, and pancreatic cancer. Demographics, food-frequency data, SNPs, treatment history, and levels of PheT in plasma were determined from 400 participants (202 cases and 198 controls) and evaluated based on pancreatic adenocarcinoma diagnosis. Demographic and dietary variables were selected based on previously published literature indicating association with pancreatic cancer. A multiple regression model combined the significant demographic and food items with SNPs. Final multivariate logistic regression significant factors ( p -value < 0.05) associated with pancreatic cancer included: Type 2 Diabetes [OR = 6.26 (95% CI = 2.83, 14.46)], PheT [1.03 (1.02, 1.05)], very well-done red meat [0.90 (0.83, 0.96)], fruit/vegetable servings [1.35 (1.06, 1.73)], recessive (rs12203582) [4.11 (1.77, 9.91)], recessive (rs56679) [0.2 (0.06, 0.85)], overdominant (rs3784605) [3.14 (1.69, 6.01)], and overdominant (rs721430) [0.39 (0.19, 0.76)]. Of note, by design, the level of smoking did not differ between our cases and controls. This study does not provide strong evidence that PheT is a biomarker of pancreatic cancer susceptibility independent of dietary intake and select metabolism SNPs among a nonsmoking population.
- Published
- 2024
- Full Text
- View/download PDF
27. Risk of Syndrome-Associated Cancers Among First-Degree Relatives of Patients With Pancreatic Ductal Adenocarcinoma With Pathogenic or Likely Pathogenic Germline Variants.
- Author
-
Chen X, Meyer MA, Kemppainen JL, Horibe M, Chandra S, Majumder S, Petersen GM, and Rabe KG
- Subjects
- Humans, Male, Female, Middle Aged, Prospective Studies, Genetic Predisposition to Disease, Germ-Line Mutation, Germ Cells, Pancreatic Neoplasms epidemiology, Pancreatic Neoplasms genetics, Carcinoma, Pancreatic Ductal epidemiology, Carcinoma, Pancreatic Ductal genetics
- Abstract
Importance: Increased cancer risk in first-degree relatives of probands with pancreatic ductal adenocarcinoma (PDAC probands) who carry pathogenic or likely pathogenic germline variants (PGVs) in cancer syndrome-associated genes encourages cascade genetic testing. To date, unbiased risk estimates for the development of cancers on a gene-specific basis have not been assessed., Objective: To quantify the risk of development of PDAC and extra-PDAC among first-degree relatives of PDAC probands who carry a PGV in 1 of 9 cancer syndrome-associated genes-ATM, BRCA1, BRCA2, PALB2, MLH1, MSH2, MSH6, PMS2, and CDKN2A., Design, Setting, and Participants: This case series focused on first-degree relatives of PDAC probands carrying PGVs in specific cancer syndrome-associated genes. The cohort comprised clinic-ascertained patients enrolled in the Mayo Clinic Biospecimen Resource for Pancreas Research registry with germline genetic testing. In total, 234 PDAC probands carrying PGVs were drawn from the prospective research registry of 4562 participants who had undergone genetic testing of cancer syndrome-associated genes. Demographic and cancer-related family histories were obtained by questionnaire. The data were collected from October 1, 2000, to December 31, 2021., Main Outcomes and Measures: For the PDAC probands, the genetic test results of the presence of PGVs in 9 cancer syndrome-associated genes were obtained by clinical testing. Cancers (ovary, breast, uterus or endometrial, colon, malignant melanoma, and pancreas) among first-degree relatives were reported by the probands. Standardized incidence ratios (SIRs) were used to estimate cancer risks among first-degree relatives of PDAC probands carrying a PGV., Results: In total, 1670 first-degree relatives (mean [SD] age, 58.1 [17.8] years; 853 male [51.1%]) of 234 PDAC probands (mean [SD] age, 62.5 [10.1] years; 124 male [53.0%]; 219 [94.4%] White; 225 [98.7%] non-Hispanic or non-Latino]) were included in the study. There was a significantly increased risk of ovarian cancer in female first-degree relatives of probands who had variants in BRCA1 (SIR, 9.49; 95% CI, 3.06-22.14) and BRCA2 (SIR, 3.72; 95% CI, 1.36-8.11). Breast cancer risks were higher with BRCA2 variants (SIR, 2.62; 95% CI, 1.89-3.54). The risks of uterine or endometrial cancer (SIR, 6.53; 95% CI, 2.81-12.86) and colon cancer (SIR, 5.83; 95% CI, 3.70-8.75) were increased in first-degree relatives of probands who carried Lynch syndrome mismatch repair variants. Risk of PDAC was also increased for variants in ATM (SIR, 4.53; 95% CI, 2.69-7.16), BRCA2 (SIR, 3.45; 95% CI, 1.72-6.17), CDKN2A (SIR, 7.38; 95% CI, 3.18-14.54), and PALB2 (SIR, 5.39; 95% CI, 1.45-13.79). Melanoma risk was elevated for first-degree relatives of probands with CDKN2A variants (SIR, 7.47; 95% CI, 3.97-12.77)., Conclusions and Relevance: In this case series, the presence of PGVs in 9 cancer syndrome-associated genes in PDAC probands was found to be associated with increased risk of 6 types of cancers in first-degree relatives. These gene-specific PDAC and extra-PDAC cancer risks may provide justification for clinicians to counsel first-degree relatives about the relevance and importance of genetic cascade testing, with the goal of higher uptake of testing.
- Published
- 2023
- Full Text
- View/download PDF
28. Culture media composition influences patient-derived organoid ability to predict therapeutic responses in gastrointestinal cancers.
- Author
-
Hogenson TL, Xie H, Phillips WJ, Toruner MD, Li JJ, Horn IP, Kennedy DJ, Almada LL, Marks DL, Carr RM, Toruner M, Sigafoos AN, Koenig-Kappes AN, Olson RL, Tolosa EJ, Zhang C, Li H, Doles JD, Bleeker J, Barrett MT, Boyum JH, Kipp BR, Mahipal A, Hubbard JM, Scheffler Hanson TJ, Petersen GM, Dasari S, Oberg AL, Truty MJ, Graham RP, Levy MJ, Zhu M, Billadeau DD, Adjei AA, Dusetti N, Iovanna JL, Bekaii-Saab TS, Ma WW, and Fernandez-Zapico ME
- Subjects
- Humans, Culture Media, Organoids pathology, Pancreatic Neoplasms, Gastrointestinal Neoplasms drug therapy, Gastrointestinal Neoplasms pathology, Pancreatic Neoplasms pathology
- Abstract
BACKGROUNDA patient-derived organoid (PDO) platform may serve as a promising tool for translational cancer research. In this study, we evaluated PDO's ability to predict clinical response to gastrointestinal (GI) cancers.METHODSWe generated PDOs from primary and metastatic lesions of patients with GI cancers, including pancreatic ductal adenocarcinoma, colorectal adenocarcinoma, and cholangiocarcinoma. We compared PDO response with the observed clinical response for donor patients to the same treatments.RESULTSWe report an approximately 80% concordance rate between PDO and donor tumor response. Importantly, we found a profound influence of culture media on PDO phenotype, where we showed a significant difference in response to standard-of-care chemotherapies, distinct morphologies, and transcriptomes between media within the same PDO cultures.CONCLUSIONWhile we demonstrate a high concordance rate between donor tumor and PDO, these studies also showed the important role of culture media when using PDOs to inform treatment selection and predict response across a spectrum of GI cancers.TRIAL REGISTRATIONNot applicable.FUNDINGThe Joan F. & Richard A. Abdoo Family Fund in Colorectal Cancer Research, GI Cancer program of the Mayo Clinic Cancer Center, Mayo Clinic SPORE in Pancreatic Cancer, Center of Individualized Medicine (Mayo Clinic), Department of Laboratory Medicine and Pathology (Mayo Clinic), Incyte Pharmaceuticals and Mayo Clinic Hepatobiliary SPORE, University of Minnesota-Mayo Clinic Partnership, and the Early Therapeutic program (Department of Oncology, Mayo Clinic).
- Published
- 2022
- Full Text
- View/download PDF
29. Tissue methylated DNA markers for sporadic pancreatic cancer are strongly associated with familial and genetically predisposed pancreatic cancer.
- Author
-
Majumder S, Taylor WR, Foote PH, Gysbers BJ, Cao X, Mahoney DW, Burger KN, Doering KA, Graham RP, Couch FJ, Petersen GM, and Kisiel JB
- Subjects
- Genetic Markers, Genetic Predisposition to Disease, Humans, Carcinoma, Pancreatic Ductal diagnosis, Carcinoma, Pancreatic Ductal genetics, Carcinoma, Pancreatic Ductal pathology, Pancreatic Neoplasms diagnosis, Pancreatic Neoplasms genetics, Pancreatic Neoplasms pathology
- Abstract
High-risk individuals (HRIs) with familial and genetic predisposition to pancreatic ductal adenocarcinoma (PDAC) are eligible for screening. There is no accurate biomarker for detecting early-stage PDAC. We previously demonstrated that a panel of methylated DNA markers (MDMs) accurately detect sporadic PDAC. In this study we compared the distribution of MDMs in DNA extracted from tissue of PDAC cases who carry germline mutations and non-carriers with family history, with control tissue and demonstrate high discrimination like that seen in sporadic PDAC. These results provide scientific rationale for examining plasma MDMs in HRIs with the goal of developing a minimally-invasive early detection test., (Copyright © 2022. Published by Elsevier B.V.)
- Published
- 2022
- Full Text
- View/download PDF
30. The age-dependent association of risk factors with pancreatic cancer.
- Author
-
Yuan C, Kim J, Wang QL, Lee AA, Babic A, Amundadottir LT, Klein AP, Li D, McCullough ML, Petersen GM, Risch HA, Stolzenberg-Solomon RZ, Perez K, Ng K, Giovannucci EL, Stampfer MJ, Kraft P, and Wolpin BM
- Subjects
- Humans, Male, Prospective Studies, Risk Factors, Pancreatic Neoplasms, Genome-Wide Association Study, Pancreatic Neoplasms etiology, Pancreatic Neoplasms genetics
- Abstract
Background: Pancreatic cancer presents as advanced disease in >80% of patients; yet, appropriate ages to consider prevention and early detection strategies are poorly defined. We investigated age-specific associations and attributable risks of pancreatic cancer for established modifiable and non-modifiable risk factors., Patients and Methods: We included 167 483 participants from two prospective US cohort studies with 1190 incident cases of pancreatic cancer during >30 years of follow-up; 5107 pancreatic cancer cases and 8845 control participants of European ancestry from a completed multicenter genome-wide association study (GWAS); and 248 893 pancreatic cancer cases documented in the US Surveillance, Epidemiology, and End Results (SEER) Program. Across different age categories, we investigated cigarette smoking, obesity, diabetes, height, and non-O blood group in the prospective cohorts; weighted polygenic risk score of 22 previously identified single nucleotide polymorphisms in the GWAS; and male sex and black race in the SEER Program., Results: In the prospective cohorts, all five risk factors were more strongly associated with pancreatic cancer risk among younger participants, with associations attenuated among those aged >70 years. The hazard ratios comparing participants with three to five risk factors with those with no risk factors were 9.24 [95% confidence interval (CI) 4.11-20.77] among those aged ≤60 years, 3.00 (95% CI 1.85-4.86) among those aged 61-70 years, and 1.46 (95% CI 1.10-1.94) among those aged >70 years (P
heterogeneity = 3×10-5 ). These factors together were related to 65.6%, 49.7%, and 17.2% of incident pancreatic cancers in these age groups, respectively. In the GWAS and the SEER Program, the associations with the polygenic risk score, male sex, and black race were all stronger among younger individuals (Pheterogeneity ≤0.01)., Conclusions: Established risk factors are more strongly associated with earlier-onset pancreatic cancer, emphasizing the importance of age at initiation for cancer prevention and control programs targeting this highly lethal malignancy., (Copyright © 2022 European Society for Medical Oncology. All rights reserved.)- Published
- 2022
- Full Text
- View/download PDF
31. Pancreatic cancer risk to siblings of probands in bilineal cancer settings.
- Author
-
Rabe KG, Stevens MA, Hernández AT, Chandra S, Hubbard JM, Kemppainen JL, Majumder S, and Petersen GM
- Subjects
- Family, Genetic Predisposition to Disease, Humans, Pancreatic Neoplasms, Pancreatic Neoplasms epidemiology, Pancreatic Neoplasms genetics, Siblings
- Abstract
Purpose: Pancreatic cancer (PC) risk is increased in families, but PC risk and risk perception have been understudied when both parents have cancer., Methods: An unbiased method defining cancer triads (proband with PC and both parents with cancer) in a prospective registry estimated risk of PC to probands' siblings in triad group 1 (no parent with PC), group 2 (1 parent with PC), and group 3 (both parents with PC). We estimated standardized incidence ratios (SIRs) using a Surveillance, Epidemiology, and End Results (SEER) reference. We also estimated the risk when triad probands carried germline pathogenic/likely pathogenic variants in any of the 6 PC-associated genes (ATM, BRCA1, BRCA2, CDKN2A, MLH1, and TP53). PC risk perception/concern was surveyed in siblings and controls., Results: Risk of PC was higher (SIR = 3.5; 95% CI = 2.2-5.2) in 933 at-risk siblings from 297 triads. Risk increased by triad group: 2.8 (95% CI = 1.5-4.5); 4.5 (95% CI = 1.6-9.7); and 21.2 (95% CI = 4.3-62.0). SIR in variant-negative triads was 3.0 (95% CI = 1.6-5.0), whereas SIR in variant-positive triads was 10.0 (95% CI = 3.2-23.4). Siblings' perceived risk/concern of developing PC increased by triad group., Conclusion: Sibling risks were 2.8- to 21.2-fold higher than that of the general population. Positive variant status increased the risk in triads. Increasing number of PC cases in a triad was associated with increased concern and perceived PC risk., Competing Interests: Conflict of Interest The authors declare no conflicts of interest., (Copyright © 2022 American College of Medical Genetics and Genomics. Published by Elsevier Inc. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
32. Discovery and Validation of Methylated DNA Markers From Pancreatic Neuroendocrine Tumors.
- Author
-
Majumder S, Halfdanarson TR, Berger CK, Foote PH, Cao X, McGlinch MC, Gysbers BJ, de La Fuente J, Robran MJ, Doering KA, Burger KN, Bamlet WE, Oberg AL, Mahoney DW, Graham RP, Taylor WR, Petersen GM, and Kisiel JB
- Abstract
Background and Aims: Methylated DNA markers (MDMs) accurately identify several different cancer types, but there are limited data for pancreatic neuroendocrine tumors (pNETs). We aimed to identify MDM candidates in tissue that differentiate pNETs from normal pancreas., Methods: wUsing DNA from frozen normal pancreas (13) and pNET (51) tissues, we performed reduced representation bisulfite sequencing for MDM discovery. Validation in independent formalin fixed paraffin embedded tissues used pNET cases (67; solid = 50, cystic = 17), normal pancreas (24), and buffy coat (36) controls. Primary pNET MDM distributions were compared with lung (36), small bowel (36) NETs, and metastatic pNET (25) tissues. The discrimination accuracy was summarized as the area under the receiver operator characteristic curve (AUC) with corresponding 95% confidence intervals (CIs). Fisher's linear discriminant analysis was performed to estimate a linear discriminate score (LDS) differentiating normal from pNET tissue and applied to all patient groups; discrimination accuracy of the LDS was summarized as the bootstrap cross-validated AUC., Results: Median AUC for distinguishing normal pancreas from pNET tissue was 0.91 (interquartile range: 0.80-0.93). The cross-validated AUC for the LDS discriminating normal pancreatic tissue from primary and metastatic pNETs was 0.957 (95% CI 0.858-1.0, P < .0001) and 0.963 (95% CI 0.865-1.0, P < .0001), respectively. The LDS for the MDM panel was significantly higher for primary pNET, metastatic pNET, lung NET, and small bowel NET, each compared with normal pancreas tissue ( P < .0001). There was no statistical difference between primary pNET and metastatic pNET ( P = .1947)., Conclusion: In independent tissue validation, MDMs accurately discriminate pNETs from normal pancreas. These results provide scientific rationale for exploration of these tissue MDMs in a plasma-based assay for clinical application., (© 2022 The Authors.)
- Published
- 2022
- Full Text
- View/download PDF
33. Aspirin, Statins, Non-aspirin NSAIDs, Metformin, and the Risk of Biliary Cancer: A Swedish Population-Based Cohort Study.
- Author
-
Marcano-Bonilla L, Schleck CD, Harmsen WS, Sadr-Azodi O, Borad MJ, Patel T, Petersen GM, Therneau TM, Roberts LR, and Brusselaers N
- Subjects
- Adolescent, Anti-Inflammatory Agents, Non-Steroidal therapeutic use, Aspirin therapeutic use, Bile Ducts, Intrahepatic pathology, Cohort Studies, Humans, Risk Factors, Sweden epidemiology, Bile Duct Neoplasms epidemiology, Bile Duct Neoplasms prevention & control, Biliary Tract Neoplasms epidemiology, Hydroxymethylglutaryl-CoA Reductase Inhibitors adverse effects, Metformin therapeutic use
- Abstract
Background: Chemoprevention for biliary tract cancers (BTC), which comprise intrahepatic cholangiocarcinoma (iCCA), extrahepatic cholangiocarcinoma (eCCA), and gallbladder cancer, is controversial. We examined associations between low-dose aspirin, statins, NSAIDs, and metformin with BTC risk., Methods: We used a population-based cohort of 5.7 million persons over age 18 without personal history of cancer (except nonmelanoma skin cancer), receiving at least one commonly prescribed drug between July 1, 2005, and December 31, 2012, from the Swedish Prescribed Drug Registry. Hazard ratios (HR) were calculated using age-scaled multivariable-adjusted Cox models., Results: 2,160 individuals developed BTC. Low-dose aspirin was not associated with BTC risk [HR, 0.93; 95% confidence interval (CI), 0.81-1.07], iCCA (HR, 1.21; 95% CI, 0.93-1.57), eCCA (HR, 0.80; 95% CI, 0.60-1.07), or gallbladder cancer (HR, 0.87; 95% CI, 0.71-1.06). Statins were associated with lower risk of BTC (HR, 0.66; 95% CI, 0.56-0.78), iCCA (HR, 0.69; 95% CI, 0.50-0.95), eCCA (HR 0.54; 95% CI, 0.38-0.76), and gallbladder cancer (HR, 0.72; 95% CI, 0.57-0.91). For all BTC subtypes, combined low-dose aspirin and statins were not associated with lower risk than statins alone. NSAIDs were associated with higher risk of BTC and its subtypes. Metformin was not associated with BTC risk (HR, 0.98; 95% CI, 0.82-1.18), iCCA (HR, 1.06; 95% CI, 0.77-1.48), eCCA (HR, 1.15; 95% CI, 0.82-1.61), or gallbladder cancer (HR, 0.84; 95% CI, 0.63-1.11)., Conclusions: Statins were associated with a decreased risk of BTC and its subtypes. Low-dose aspirin alone was not associated with a decreased risk, and use of both was not associated with further decrease in risk beyond statins alone., Impact: Statins were most consistently associated with a decreased risk of BTC and its subtypes., (©2022 American Association for Cancer Research.)
- Published
- 2022
- Full Text
- View/download PDF
34. A Pilot Study of Blood-Based Methylation Markers Associated With Pancreatic Cancer.
- Author
-
Jansen RJ, Orr M, Bamlet WR, and Petersen GM
- Abstract
Over the past several decades in the United States, incidence of pancreatic cancer (PCa) has increased, with the 5-year survival rate remaining extremely low at 10.8%. Typically, PCa is diagnosed at an advanced stage, with the consequence that there is more tumor heterogeneity and increased probability that more cells are resistant to treatments. Risk factors for PCa can serve as a way to select a high-risk population and develop biomarkers to improve early detection and treatment. We focus on blood-based methylation as an approach to identify a marker set that can be obtained in a minimally invasive way (through peripheral blood) and could be applied to a high-risk subpopulation [those with recent onset type 2 diabetes (DM)]. Blood samples were collected from 30 patients, 15 had been diagnosed with PCa and 15 had been diagnosed with recent onset DM. HumanMethylationEPIC Beadchip (Illumina, CA, United States) was used to quantify methylation of approximately 850,000 methylation sites across the genome and to analyze methylation markers associated with PCa or DM or both. Exploratory analysis conducted to propose importance of top CpG (5'-C-phosphate-G-3') methylation site associated genes and visualized using boxplots. A methylation-based age predictor was also investigated for ability to distinguish disease groups from controls. No methylation markers were observed to be significantly associated with PCa or new onset diabetes compared with control the respective control groups. In our exploratory analysis, one methylation marker, CpG04969764, found in the Laminin Subunit Alpha 5 ( LAMA5 ) gene region was observed in both PCa and DM Top 100 methylation marker sets. Modification of LAMA5 methylation or LAMA5 gene function may be a way to distinguish those recent DM cases with and without PCa, however, additional studies with larger sample sizes and different study types (e.g., cohort) will be needed to test this hypothesis., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor declared a shared affiliation with several of the authors WB, GP at the time of review., (Copyright © 2022 Jansen, Orr, Bamlet and Petersen.)
- Published
- 2022
- Full Text
- View/download PDF
35. Influence of Cancer Susceptibility Gene Mutations and ABO Blood Group of Pancreatic Cancer Probands on Concomitant Risk to First-Degree Relatives.
- Author
-
Antwi SO, Rabe KG, Bamlet WR, Meyer M, Chandra S, Fagan SE, Hu C, Couch FJ, McWilliams RR, Oberg AL, and Petersen GM
- Subjects
- Aged, Family, Female, Humans, Male, Middle Aged, Mutation, Pancreatic Neoplasms epidemiology, Pancreatic Neoplasms genetics, Registries, Risk Factors, ABO Blood-Group System blood, Genetic Predisposition to Disease, Pancreatic Neoplasms blood
- Abstract
Background: ABO blood group is associated with pancreatic cancer risk. Whether ABO blood group alone or when combined with inherited mutation status of index pancreatic cancer cases (probands) can enhance pancreatic cancer risk estimation in first-degree relatives (FDR) is unclear. We examined FDRs' risk for pancreatic cancer based on probands' ABO blood group and probands' cancer susceptibility gene mutation status., Methods: Data on 23,739 FDRs, identified through 3,268 pancreatic cancer probands, were analyzed. Probands' ABO blood groups were determined serologically or genetically, and 20 cancer susceptibility genes were used to classify probands as "mutation-positive" or "mutation-negative." SIRs and 95% confidence intervals (CI) were calculated, comparing observed pancreatic cancer cases in the FDRs with the number expected in SEER-21 (reference population)., Results: Overall, FDRs had 2-fold risk of pancreatic cancer (SIR = 2.00; 95% CI = 1.79-2.22). Pancreatic cancer risk was higher in FDRs of mutation-positive (SIR = 3.80; 95% CI = 2.81-5.02) than mutation-negative (SIR = 1.79; 95% CI = 1.57-2.04) probands ( P < 0.001). The magnitude of risk did not differ by ABO blood group alone (SIR
blood-group-O = 1.57; 95% CI = 1.20-2.03, SIRnon-O = 1.83; 95% CI = 1.53-2.17; P = 0.33). Among FDRs of probands with non-O blood group, pancreatic cancer risk was higher in FDRs of mutation-positive (SIR = 3.98; 95% CI = 2.62-5.80) than mutation-negative (SIR = 1.66; 95% CI = 1.35-2.03) probands ( P < 0.001), but risk magnitudes were statistically similar when probands had blood group O (SIRmutation-positive = 2.65; 95% CI = 1.09-5.47, SIRmutation-negative = 1.48; 95% CI = 1.06-5.47; P = 0.16)., Conclusions: There is a range of pancreatic cancer risk to FDRs according to probands' germline mutation status and ABO blood group, ranging from 1.48 for FDRs of probands with blood group O and mutation-negative to 3.98 for FDRs of probands with non-O blood group and mutation-positive., Impact: Combined ABO blood group and germline mutation status of probands can inform pancreatic cancer risk estimation in FDRs., (©2021 American Association for Cancer Research.)- Published
- 2022
- Full Text
- View/download PDF
36. A risk prediction tool for individuals with a family history of breast, ovarian, or pancreatic cancer: BRCAPANCPRO.
- Author
-
Blackford AL, Childs EJ, Porter N, Petersen GM, Rabe KG, Gallinger S, Borgida A, Syngal S, Cote ML, Schwartz AG, Goggins MG, Hruban RH, Parmigiani G, and Klein AP
- Subjects
- Female, Humans, Male, Medical History Taking, Risk Assessment, Breast Neoplasms diagnosis, Ovarian Neoplasms diagnosis, Pancreatic Neoplasms diagnosis
- Abstract
Introduction: Identifying families with an underlying inherited cancer predisposition is a major goal of cancer prevention efforts. Mendelian risk models have been developed to better predict the risk associated with a pathogenic variant of developing breast/ovarian cancer (with BRCAPRO) and the risk of developing pancreatic cancer (PANCPRO). Given that pathogenic variants involving BRCA2 and BRCA1 predispose to all three of these cancers, we developed a joint risk model to capture shared susceptibility., Methods: We expanded the existing framework for PANCPRO and BRCAPRO to jointly model risk of pancreatic, breast, and ovarian cancer and validated this new model, BRCAPANCPRO on three data sets each reflecting the common target populations., Results: BRCAPANCPRO outperformed the prior BRCAPRO and PANCPRO models and yielded good discrimination for differentiating BRCA1 and BRCA2 carriers from non-carriers (AUCs 0.79, 95% CI: 0.73-0.84 and 0.70, 95% CI: 0.60-0.80) in families seen in high-risk clinics and pancreatic cancer family registries, respectively. In addition, BRCAPANCPRO was reasonably well calibrated for predicting future risk of pancreatic cancer (observed-to-expected (O/E) ratio = 0.81 [0.69, 0.94])., Discussion: The BRCAPANCPRO model provides improved risk assessment over our previous risk models, particularly for pedigrees with a co-occurrence of pancreatic cancer and breast and/or ovarian cancer., (© 2021. The Author(s), under exclusive licence to Springer Nature Limited.)
- Published
- 2021
- Full Text
- View/download PDF
37. Risk of Pancreatic Cancer Among Individuals With Pathogenic Variants in the ATM Gene.
- Author
-
Hsu FC, Roberts NJ, Childs E, Porter N, Rabe KG, Borgida A, Ukaegbu C, Goggins MG, Hruban RH, Zogopoulos G, Syngal S, Gallinger S, Petersen GM, and Klein AP
- Subjects
- Adult, Aged, Aged, 80 and over, Ataxia Telangiectasia Mutated Proteins genetics, Cohort Studies, Female, Genetic Testing, Humans, Middle Aged, Pedigree, Germ-Line Mutation, Pancreatic Neoplasms epidemiology, Pancreatic Neoplasms genetics
- Abstract
Importance: Pathogenic germline variants in the ATM gene have been associated with pancreatic cancer risk. Although genetic testing identifies these variants in approximately 1% to 3% of unselected patients with pancreatic cancer, the lifetime risk of pancreatic cancer among individuals with pathogenic ATM variants has not been well estimated., Objective: To estimate age-specific penetrance of pancreatic cancer in individuals with a pathogenic variant in the ATM gene., Design, Setting, and Participants: This was a multicenter cohort study of pancreatic cancer family registries in the US and Canada using pedigree data from 130 pancreatic cancer kindreds with a pathogenic germline ATM variant. Data analyses were performed from January 2020 to February 2021., Main Outcomes and Measures: Observational age-specific risk of pancreatic cancer. Penetrance was estimated using modified segregation analysis., Results: The study population of 130 families (123 [95%] White families) comprised 2227 family members (mean age [SD], 58 [22] years; 1096 [49%] women) with complete records (ie, including familial relationships, pancreatic cancer diagnosis, ATM status, proband status, and age), of which 155 individuals had positive results for an ATM pathogenic variant, 16 had a negative result, and the remainder did not have a test result. In these 130 families, 217 individuals had pancreatic cancer: 78 families had 1 such member; 34 families had 2 such members; and 18 families had 3 or more members with pancreatic cancer. The average (range) age at diagnosis was 64 (31-98) years. The cumulative risk of pancreatic cancer among individuals with a germline pathogenic ATM variant was estimated to be 1.1% (95% CI, 0.8%-1.3%) by age 50 years; 6.3% (95% CI, 3.9%-8.7%) by age 70 years; and 9.5% (95% CI, 5.0%-14.0%) by age 80 years. Overall, the relative risk of pancreatic cancer was 6.5 (95% CI, 4.5-9.5) in ATM variant carriers compared with noncarriers., Conclusions and Relevance: This multicenter cohort study found that individuals with a germline pathogenic ATM variant were at an increased lifetime risk of pancreatic cancer. These risk estimates can help guide decision-making when evaluating the risks and benefits of enhanced early detection surveillance.
- Published
- 2021
- Full Text
- View/download PDF
38. Novel Models of Genetic Education and Testing for Pancreatic Cancer Interception: Preliminary Results from the GENERATE Study.
- Author
-
Furniss CS, Yurgelun MB, Ukaegbu C, Constantinou PE, Lafferty CC, Talcove-Berko ER, Schwartz AN, Stopfer JE, Underhill-Blazey M, Kenner B, Nelson SH, Okumura S, Law S, Zhou AY, Coffin TB, Rodriguez NJ, Uno H, Ocean AJ, McAllister F, Lowy AM, Lippman SM, Klein AP, Madlensky L, Petersen GM, Garber JE, Goggins MG, Maitra A, and Syngal S
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Carcinoma, Pancreatic Ductal genetics, Carcinoma, Pancreatic Ductal pathology, Carcinoma, Pancreatic Ductal therapy, Female, Humans, Male, Middle Aged, Models, Genetic, Pancreatic Neoplasms pathology, Pancreatic Neoplasms therapy, Patient Participation, Risk Factors, Surveys and Questionnaires, Telemedicine, Young Adult, BRCA1 Protein genetics, BRCA2 Protein genetics, Genetic Predisposition to Disease, Genetic Testing methods, Germ-Line Mutation, Pancreatic Neoplasms genetics, Risk Assessment methods
- Abstract
Up to 10% of patients with pancreatic ductal adenocarcinoma (PDAC) carry underlying germline pathogenic variants in cancer susceptibility genes. The GENetic Education Risk Assessment and TEsting (GENERATE) study aimed to evaluate novel methods of genetic education and testing in relatives of patients with PDAC. Eligible individuals had a family history of PDAC and a relative with a germline pathogenic variant in APC, ATM, BRCA1, BRCA2, CDKN2A, EPCAM, MLH1, MSH2, MSH6, PALB2, PMS2, STK11 , or TP53 genes. Participants were recruited at six academic cancer centers and through social media campaigns and patient advocacy efforts. Enrollment occurred via the study website (https://GENERATEstudy.org) and all participation, including collecting a saliva sample for genetic testing, could be done from home. Participants were randomized to one of two remote methods that delivered genetic education about the risks of inherited PDAC and strategies for surveillance. The primary outcome of the study was uptake of genetic testing. From 5/8/2019 to 5/6/2020, 49 participants were randomized to each of the intervention arms. Overall, 90 of 98 (92%) of randomized participants completed genetic testing. The most frequently detected pathogenic variants included those in BRCA2 ( N = 15, 17%), ATM ( N = 11, 12%), and CDKN2A ( N = 4, 4%). Participation in the study remained steady throughout the onset of the Coronavirus disease (COVID-19) pandemic. Preliminary data from the GENERATE study indicate success of remote alternatives to traditional cascade testing, with genetic testing rates over 90% and a high rate of identification of germline pathogenic variant carriers who would be ideal candidates for PDAC interception approaches. PREVENTION RELEVANCE: Preliminary data from the GENERATE study indicate success of remote alternatives for pancreatic cancer genetic testing and education, with genetic testing uptake rates over 90% and a high rate of identification of germline pathogenic variant carriers who would be ideal candidates for pancreatic cancer interception., (©2021 American Association for Cancer Research.)
- Published
- 2021
- Full Text
- View/download PDF
39. A 584 bp deletion in CTRB2 inhibits chymotrypsin B2 activity and secretion and confers risk of pancreatic cancer.
- Author
-
Jermusyk A, Zhong J, Connelly KE, Gordon N, Perera S, Abdolalizadeh E, Zhang T, O'Brien A, Hoskins JW, Collins I, Eiser D, Yuan C, Risch HA, Jacobs EJ, Li D, Du M, Stolzenberg-Solomon RZ, Klein AP, Smith JP, Wolpin BM, Chanock SJ, Shi J, Petersen GM, Westlake CJ, and Amundadottir LT
- Subjects
- Case-Control Studies, Chymotrypsin antagonists & inhibitors, Chymotrypsin metabolism, Genome-Wide Association Study, Genotype, Humans, Pancreatic Neoplasms etiology, Pancreatic Neoplasms metabolism, Chymotrypsin genetics, Pancreatic Neoplasms pathology, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sequence Deletion
- Abstract
Genome-wide association studies (GWASs) have discovered 20 risk loci in the human genome where germline variants associate with risk of pancreatic ductal adenocarcinoma (PDAC) in populations of European ancestry. Here, we fine-mapped one such locus on chr16q23.1 (rs72802365, p = 2.51 × 10
-17 , OR = 1.36, 95% CI = 1.31-1.40) and identified colocalization (PP = 0.87) with aberrant exon 5-7 CTRB2 splicing in pancreatic tissues (pGTEx = 1.40 × 10-69 , βGTEx = 1.99; pLTG = 1.02 × 10-30 , βLTG = 1.99). Imputation of a 584 bp structural variant overlapping exon 6 of CTRB2 into the GWAS datasets resulted in a highly significant association with pancreatic cancer risk (p = 2.83 × 10-16 , OR = 1.36, 95% CI = 1.31-1.42), indicating that it may underlie this signal. Exon skipping attributable to the deletion (risk) allele introduces a premature stop codon in exon 7 of CTRB2, yielding a truncated chymotrypsinogen B2 protein that lacks chymotrypsin activity, is poorly secreted, and accumulates intracellularly in the endoplasmic reticulum (ER). We propose that intracellular accumulation of a nonfunctional chymotrypsinogen B2 protein leads to ER stress and pancreatic inflammation, which may explain the increased pancreatic cancer risk in carriers of CTRB2 exon 6 deletion alleles., Competing Interests: Declaration of interests The authors declare no competing interests., (Published by Elsevier Inc.)- Published
- 2021
- Full Text
- View/download PDF
40. Hepcidin-regulating iron metabolism genes and pancreatic ductal adenocarcinoma: a pathway analysis of genome-wide association studies.
- Author
-
Julián-Serrano S, Yuan F, Wheeler W, Benyamin B, Machiela MJ, Arslan AA, Beane-Freeman LE, Bracci PM, Duell EJ, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Marchand LL, Neale RE, Shu XO, Van Den Eeden SK, Visvanathan K, Zheng W, Albanes D, Andreotti G, Ardanaz E, Babic A, Berndt SI, Brais LK, Brennan P, Bueno-de-Mesquita B, Buring JE, Chanock SJ, Childs EJ, Chung CC, Fabiánová E, Foretová L, Fuchs CS, Gaziano JM, Gentiluomo M, Giovannucci EL, Goggins MG, Hackert T, Hartge P, Hassan MM, Holcátová I, Holly EA, Hung RI, Janout V, Kurtz RC, Lee IM, Malats N, McKean D, Milne RL, Newton CC, Oberg AL, Perdomo S, Peters U, Porta M, Rothman N, Schulze MB, Sesso HD, Silverman DT, Thompson IM, Wactawski-Wende J, Weiderpass E, Wenstzensen N, White E, Wilkens LR, Yu H, Zeleniuch-Jacquotte A, Zhong J, Kraft P, Li D, Campbell PT, Petersen GM, Wolpin BM, Risch HA, Amundadottir LT, Klein AP, Yu K, and Stolzenberg-Solomon RZ
- Subjects
- Aged, Case-Control Studies, Female, Genotype, Hepcidins genetics, Humans, Linkage Disequilibrium, Male, Middle Aged, Polymorphism, Single Nucleotide, Adenocarcinoma metabolism, Gene Expression Regulation, Neoplastic physiology, Hepcidins metabolism, Iron metabolism, Pancreatic Neoplasms metabolism
- Abstract
Background: Epidemiological studies have suggested positive associations for iron and red meat intake with risk of pancreatic ductal adenocarcinoma (PDAC). Inherited pathogenic variants in genes involved in the hepcidin-regulating iron metabolism pathway are known to cause iron overload and hemochromatosis., Objectives: The objective of this study was to determine whether common genetic variation in the hepcidin-regulating iron metabolism pathway is associated with PDAC., Methods: We conducted a pathway analysis of the hepcidin-regulating genes using single nucleotide polymorphism (SNP) summary statistics generated from 4 genome-wide association studies in 2 large consortium studies using the summary data-based adaptive rank truncated product method. Our population consisted of 9253 PDAC cases and 12,525 controls of European descent. Our analysis included 11 hepcidin-regulating genes [bone morphogenetic protein 2 (BMP2), bone morphogenetic protein 6 (BMP6), ferritin heavy chain 1 (FTH1), ferritin light chain (FTL), hepcidin (HAMP), homeostatic iron regulator (HFE), hemojuvelin (HJV), nuclear factor erythroid 2-related factor 2 (NRF2), ferroportin 1 (SLC40A1), transferrin receptor 1 (TFR1), and transferrin receptor 2 (TFR2)] and their surrounding genomic regions (±20 kb) for a total of 412 SNPs., Results: The hepcidin-regulating gene pathway was significantly associated with PDAC (P = 0.002), with the HJV, TFR2, TFR1, BMP6, and HAMP genes contributing the most to the association., Conclusions: Our results support that genetic susceptibility related to the hepcidin-regulating gene pathway is associated with PDAC risk and suggest a potential role of iron metabolism in pancreatic carcinogenesis. Further studies are needed to evaluate effect modification by intake of iron-rich foods on this association., (Published by Oxford University Press on behalf of the American Society for Nutrition 2021.)
- Published
- 2021
- Full Text
- View/download PDF
41. Intact SMAD-4 is a predictor of increased locoregional recurrence in upfront resected pancreas cancer receiving adjuvant therapy.
- Author
-
Gits HC, Tang AH, Harmsen WS, Bamlet WR, Graham RP, Petersen GM, Smyrk TC, Mahipal A, Kowalchuk RO, Ashman JB, Rule WG, Owen D, Neben Wittich MA, McWilliams RR, Halfdanarson T, Ma WW, Sio TT, Cleary SP, Truty MJ, Haddock MG, Hallemeier CL, and Merrell KW
- Abstract
Background: Previous reports suggest that intact SMAD4 expression is associated with a locally aggressive pancreas cancer phenotype. The objectives of this work were to determine the frequency of intact SMAD4 and its association with patterns of recurrence in patients with upfront resected pancreas cancer receiving adjuvant therapy., Methods: A tissue microarray was constructed using resected specimens from patients who underwent upfront surgery and adjuvant gemcitabine with no neoadjuvant treatment for pancreas cancer. SMAD4 expression was determined by immunohistochemical staining. Associations of SMAD4 expression and clinicopathologic parameters with clinical outcomes were evaluated using Cox proportional hazard models., Results: One hundred twenty-seven patients were included with a median follow up of 5.7 years. Most patients had stage ≥ pT3 tumors (75%) and pN1 (68%). All patients received adjuvant gemcitabine, and 79% of patients received adjuvant chemoradiotherapy. Ten (8%) patients had intact SMAD4 expression. Grade was the only clinicopathologic parameter statistically associated with SMAD4 expression (P=0.05). Median overall survival was 2.1 years. On univariate analysis, SMAD4 expression was associated with increased locoregional recurrence (hazard ratio 7.0, P<0.01, 95% confidence interval: 2.8-18.0) but not distant recurrence (P=0.06) or overall survival (P=0.73). On multivariable analysis, SMAD4 expression (hazard ratio 9.6, P<0.01, 95% confidence interval: 3.7-24.8) and adjuvant chemoradiotherapy (hazard ratio 0.3, P=0.01, 95% confidence interval: 0.1-0.8) were associated with higher and lower locoregional recurrence, respectively., Conclusions: In patients with upfront resected pancreas cancer, SMAD4 expression was associated with an increased risk of locoregional recurrence. Prospective evaluation of the frequency of SMAD4 expression and validation of its predictive utility is warranted., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/jgo-21-55). SPC declares Olympus consulting and Ethicon educational events. ROK declares his wife is a senior technical product manager for GE Healthcare. KWM declares ongoing grant support for clinical trial and global medical education programs. None of these grants are relevant to the manuscript. DO declares grants for clinical trial operations and protocol delivery from Mayo Clinic and Astra Zeneca. No direct financial relationship. TTS declares that he provides strategic and scientific recommendations as a member of the Advisory Board and speaker for Novocure, Inc., which is not in any way associated with the content or disease site as presented in this manuscript. AHT declares grants from AACR-PanCAN, Lutsgarten Foundation for Pancreatic Cancer Research, National Institute of General Medical Sciences, National Cancer Institute, and Dorothy G. Hoefer Foundation for Pancreatic Cancer Research, is a grant reviewer at National Institute of Health, National Cancer Institute, Department of Defense, and PanCAN, and is a Vice Chair at PanCAN Career Development Award Scientific Review Committee. The other authors have no conflicts of interest to declare., (2021 Journal of Gastrointestinal Oncology. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
42. Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3.
- Author
-
Mocci E, Kundu P, Wheeler W, Arslan AA, Beane-Freeman LE, Bracci PM, Brennan P, Canzian F, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Le Marchand L, Neale RE, Shu XO, Visvanathan K, White E, Zheng W, Albanes D, Andreotti G, Babic A, Bamlet WR, Berndt SI, Blackford AL, Bueno-de-Mesquita B, Buring JE, Campa D, Chanock SJ, Childs EJ, Duell EJ, Fuchs CS, Gaziano JM, Giovannucci EL, Goggins MG, Hartge P, Hassan MM, Holly EA, Hoover RN, Hung RJ, Kurtz RC, Lee IM, Malats N, Milne RL, Ng K, Oberg AL, Panico S, Peters U, Porta M, Rabe KG, Riboli E, Rothman N, Scelo G, Sesso HD, Silverman DT, Stevens VL, Strobel O, Thompson IM Jr, Tjonneland A, Trichopoulou A, Van Den Eeden SK, Wactawski-Wende J, Wentzensen N, Wilkens LR, Yu H, Yuan F, Zeleniuch-Jacquotte A, Amundadottir LT, Li D, Jacobs EJ, Petersen GM, Wolpin BM, Risch HA, Kraft P, Chatterjee N, Klein AP, and Stolzenberg-Solomon R
- Subjects
- Carcinoma, Pancreatic Ductal etiology, Carcinoma, Pancreatic Ductal metabolism, Cyclin T genetics, Genome-Wide Association Study, Genotype, Humans, Membrane Proteins genetics, Pancreatic Neoplasms etiology, Pancreatic Neoplasms metabolism, Risk Factors, Smoking genetics, Carcinoma, Pancreatic Ductal pathology, Chromosomes, Human, Pair 2 genetics, Genetic Predisposition to Disease, Pancreatic Neoplasms pathology, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Smoking adverse effects
- Abstract
Germline variation and smoking are independently associated with pancreatic ductal adenocarcinoma (PDAC). We conducted genome-wide smoking interaction analysis of PDAC using genotype data from four previous genome-wide association studies in individuals of European ancestry (7,937 cases and 11,774 controls). Examination of expression quantitative trait loci data from the Genotype-Tissue Expression Project followed by colocalization analysis was conducted to determine whether there was support for common SNP(s) underlying the observed associations. Statistical tests were two sided and P < 5 × 10
-8 was considered statistically significant. Genome-wide significant evidence of qualitative interaction was identified on chr2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) and upstream of the cyclin T2 (CCNT2). The most significant SNP using the Empirical Bayes method, in this region that included 45 significantly associated SNPs, was rs1818613 [per allele OR in never smokers 0.87, 95% confidence interval (CI), 0.82-0.93; former smokers 1.00, 95% CI, 0.91-1.07; current smokers 1.25, 95% CI 1.12-1.40, Pinteraction = 3.08 × 10-9 ). Examination of the Genotype-Tissue Expression Project data demonstrated an expression quantitative trait locus in this region for TMEM163 and CCNT2 in several tissue types. Colocalization analysis supported a shared SNP, rs842357, in high linkage disequilibrium with rs1818613 ( r2 = 0. 94) driving both the observed interaction and the expression quantitative trait loci signals. Future studies are needed to confirm and understand the differential biologic mechanisms by smoking status that contribute to our PDAC findings. SIGNIFICANCE: This large genome-wide interaction study identifies a susceptibility locus on 2q21.3 that significantly modified PDAC risk by smoking status, providing insight into smoking-associated PDAC, with implications for prevention., (©2021 American Association for Cancer Research.)- Published
- 2021
- Full Text
- View/download PDF
43. High Detection Rates of Pancreatic Cancer Across Stages by Plasma Assay of Novel Methylated DNA Markers and CA19-9.
- Author
-
Majumder S, Taylor WR, Foote PH, Berger CK, Wu CW, Mahoney DW, Bamlet WR, Burger KN, Postier N, de la Fuente J, Doering KA, Lidgard GP, Allawi HT, Petersen GM, Chari ST, Ahlquist DA, and Kisiel JB
- Subjects
- Case-Control Studies, Comorbidity, Computational Biology methods, Female, Humans, Male, Neoplasm Staging, Pancreatic Neoplasms blood, ROC Curve, Biomarkers, Tumor, CA-19-9 Antigen blood, DNA Methylation, Pancreatic Neoplasms diagnosis, Pancreatic Neoplasms etiology
- Abstract
Purpose: We have previously identified tissue methylated DNA markers (MDMs) associated with pancreatic ductal adenocarcinoma (PDAC). In this case-control study, we aimed to assess the diagnostic performance of plasma MDMs for PDAC., Experimental Design: Thirteen MDMs ( GRIN2D, CD1D, ZNF781, FER1L4, RYR2, CLEC11A, AK055957, LRRC4, GH05J042948, HOXA1, PRKCB, SHISA9 , and NTRK3 ) were identified on the basis of selection criteria applied to results of prior tissue experiments and assays were optimized in plasma. Next, 340 plasma samples (170 PDAC cases and 170 controls) were assayed using target enrichment long-probe quantitative amplified signal method. Initially, 120 advanced-stage PDAC cases and 120 healthy controls were used to train a prediction algorithm at 97.5% specificity using random forest modeling. Subsequently, the locked algorithm derived from the training set was applied to an independent blinded test set of 50 early-stage PDAC cases and 50 controls. Finally, data from all 340 patients were combined, and cross-validated., Results: The cross-validated area under the receiver operating characteristic curve (AUC) for the training set was 0.93 (0.89-0.96) for the MDM panel alone, 0.91 (95% confidence interval, 0.87-0.96) for carbohydrate antigen 19-9 (CA19-9) alone, and 0.99 (0.98-1) for the combined MDM-CA19-9 panel. In the test set of early-stage PDAC, the AUC for MDMs alone was 0.84 (0.76-0.92), CA19-9 alone was 0.87 (0.79-0.94), and combined MDM-CA19-9 panel was 0.90 (0.84-0.97) significantly better compared with either MDMs alone or CA19-9 alone ( P = 0.0382 and 0.0490, respectively). At a preset specificity of 97.5%, the sensitivity for the combined panel in the test set was 80% (28%-99%) for stage I disease and 82% (68%-92%) for stage II disease. Using the combined datasets, the cross-validated AUC was 0.9 (0.86-0.94) for the MDM panel alone and 0.89 for CA19-9 alone (0.84-0.93) versus 0.97 (0.94-0.99) for the combined MDM-CA19-9 panel ( P ≤ 0.0001). Overall, cross-validated sensitivity of MDM-CA19-9 panel was 92% (83%-98%), with an observed specificity of 92% at the preset specificity of 97.5%., Conclusions: Plasma MDMs in combination with CA19-9 detect PDAC with significantly higher accuracy compared with either biomarker individually., (©2021 American Association for Cancer Research.)
- Published
- 2021
- Full Text
- View/download PDF
44. A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer.
- Author
-
López de Maturana E, Rodríguez JA, Alonso L, Lao O, Molina-Montes E, Martín-Antoniano IA, Gómez-Rubio P, Lawlor R, Carrato A, Hidalgo M, Iglesias M, Molero X, Löhr M, Michalski C, Perea J, O'Rorke M, Barberà VM, Tardón A, Farré A, Muñoz-Bellvís L, Crnogorac-Jurcevic T, Domínguez-Muñoz E, Gress T, Greenhalf W, Sharp L, Arnes L, Cecchini L, Balsells J, Costello E, Ilzarbe L, Kleeff J, Kong B, Márquez M, Mora J, O'Driscoll D, Scarpa A, Ye W, Yu J, García-Closas M, Kogevinas M, Rothman N, Silverman DT, Albanes D, Arslan AA, Beane-Freeman L, Bracci PM, Brennan P, Bueno-de-Mesquita B, Buring J, Canzian F, Du M, Gallinger S, Gaziano JM, Goodman PJ, Gunter M, LeMarchand L, Li D, Neale RE, Peters U, Petersen GM, Risch HA, Sánchez MJ, Shu XO, Thornquist MD, Visvanathan K, Zheng W, Chanock SJ, Easton D, Wolpin BM, Stolzenberg-Solomon RZ, Klein AP, Amundadottir LT, Marti-Renom MA, Real FX, and Malats N
- Subjects
- Biomarkers, Tumor genetics, Cell Line, Tumor, Computer Simulation, Gene Regulatory Networks, Genome, Human, Humans, Linkage Disequilibrium genetics, Reproducibility of Results, Signal Transduction genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Pancreatic Neoplasms genetics
- Abstract
Background: Pancreatic cancer (PC) is a complex disease in which both non-genetic and genetic factors interplay. To date, 40 GWAS hits have been associated with PC risk in individuals of European descent, explaining 4.1% of the phenotypic variance., Methods: We complemented a new conventional PC GWAS (1D) with genome spatial autocorrelation analysis (2D) permitting to prioritize low frequency variants not detected by GWAS. These were further expanded via Hi-C map (3D) interactions to gain additional insight into the inherited basis of PC. In silico functional analysis of public genomic information allowed prioritization of potentially relevant candidate variants., Results: We identified several new variants located in genes for which there is experimental evidence of their implication in the biology and function of pancreatic acinar cells. Among them is a novel independent variant in NR5A2 (rs3790840) with a meta-analysis p value = 5.91E-06 in 1D approach and a Local Moran's Index (LMI) = 7.76 in 2D approach. We also identified a multi-hit region in CASC8-a lncRNA associated with pancreatic carcinogenesis-with a lowest p value = 6.91E-05. Importantly, two new PC loci were identified both by 2D and 3D approaches: SIAH3 (LMI = 18.24), CTRB2/BCAR1 (LMI = 6.03), in addition to a chromatin interacting region in XBP1-a major regulator of the ER stress and unfolded protein responses in acinar cells-identified by 3D; all of them with a strong in silico functional support., Conclusions: This multi-step strategy, combined with an in-depth in silico functional analysis, offers a comprehensive approach to advance the study of PC genetic susceptibility and could be applied to other diseases.
- Published
- 2021
- Full Text
- View/download PDF
45. THBS2/CA19-9 Detecting Pancreatic Ductal Adenocarcinoma at Diagnosis Underperforms in Prediagnostic Detection: Implications for Biomarker Advancement.
- Author
-
Udgata S, Takenaka N, Bamlet WR, Oberg AL, Yee SS, Carpenter EL, Herman D, Kim J, Petersen GM, and Zaret KS
- Subjects
- Aged, Carcinoma, Pancreatic Ductal blood, Feasibility Studies, Female, Humans, Male, Middle Aged, Neoplasm Staging, Pancreatic Neoplasms blood, Predictive Value of Tests, Prospective Studies, Antigens, Tumor-Associated, Carbohydrate blood, Biomarkers, Tumor blood, Carcinoma, Pancreatic Ductal diagnosis, Pancreatic Neoplasms diagnosis, Thrombospondins blood
- Abstract
Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed too late for effective therapy. The classic strategy for early detection biomarker advancement consists of initial retrospective phases of discovery and validation with tissue samples taken from individuals diagnosed with disease, compared with controls. Using this approach, we previously reported the discovery of a blood biomarker panel consisting of thrombospondin-2 (THBS2) and CA19-9 that together could discriminate resectable stage I and IIa PDAC as well as stages III and IV PDAC, with c-statistic values in the range of 0.96 to 0.97 in two phase II studies. We now report that in two studies of blood samples prospectively collected from 1 to 15 years prior to a PDAC diagnosis (Mayo Clinic and PLCO cohorts), THBS2 and/or CA19-9 failed to discriminate cases from healthy controls at the AUC = 0.8 needed. We conclude that PDAC progression may be heterogeneous and for some individuals can be more rapid than generally appreciated. It is important that PDAC early-detection studies incorporate high-risk, prospective prediagnostic cohorts into discovery and validation studies. Prevention Relevance: A blood biomarker panel of THBS2 and CA19-9 detects early stages of pancreatic ductal adenocarcinoma at diagnosis, but not when tested across a population up to 1 year earlier. Our findings suggest serial sampling over time, using prospectively collected samples for biomarker discovery, and more frequent screening of high-risk individuals., (©2020 American Association for Cancer Research.)
- Published
- 2021
- Full Text
- View/download PDF
46. Shorter Treatment-Naïve Leukocyte Telomere Length is Associated with Poorer Overall Survival of Patients with Pancreatic Ductal Adenocarcinoma.
- Author
-
Antwi SO, Bamlet WR, Cawthon RM, Rabe KG, Druliner BR, Sicotte H, Jatoi A, Mahipal A, Boardman LA, Oberg AL, and Petersen GM
- Subjects
- Adult, Aged, Aged, 80 and over, Biomarkers, Tumor blood, Carcinoma, Pancreatic Ductal blood, Female, Humans, Male, Middle Aged, Pancreatic Neoplasms blood, Proportional Hazards Models, Prospective Studies, Real-Time Polymerase Chain Reaction, Risk Assessment, Carcinoma, Pancreatic Ductal mortality, Pancreatic Neoplasms mortality, Telomere Shortening
- Abstract
Background: Critically shortened telomeres contribute to chromosomal instability and neoplastic transformation and are associated with early death of patients with certain cancer types. Shorter leukocyte telomere length (LTL) has been associated with higher risk for pancreatic ductal adenocarcinoma (PDAC) and might be associated also with survival of patients with PDAC. We investigated the association between treatment-naïve LTL and overall survival of patients with incident PDAC., Methods: The study included 642 consecutively enrolled PDAC patients in the Mayo Clinic Biospecimen Resource for Pancreas Research. Blood samples were obtained at the time of diagnosis, before the start of cancer treatment, from which LTL was assayed by qRT-PCR. LTL was first modeled as a continuous variable (per-interquartile range decrease in LTL) and then as a categorized variable (short, medium, long). Multivariable-adjusted HRs and 95% confidence intervals (CI) were calculated for overall mortality using Cox proportional hazard models., Results: Shorter treatment-naïve LTL was associated with higher mortality among patients with PDAC (HR
continuous = 1.13, 95% CI: 1.01-1.28, P = 0.03; HRshortest vs. longest LTL = 1.29, 95% CI: 1.05-1.59, Ptrend = 0.01). There was a difference in the association between LTL and overall mortality by tumor stage at diagnosis; resectable tumors (HRcontinuous = 0.91; 95% CI: 0.73-1.12), locally advanced tumors (HRcontinuous = 1.29; 95% CI: 1.07-1.56), and metastatic tumors (HRcontinuous = 1.17; 95% CI: 0.96-1.42), Pinteraction = 0.04., Conclusion: Shorter treatment-naïve LTL is associated with poorer overall survival of patients with incident PDAC., Impact: Peripheral blood LTL might be a prognostic marker for PDAC., (©2020 American Association for Cancer Research.)- Published
- 2021
- Full Text
- View/download PDF
47. Targeting DNA Damage Response and Replication Stress in Pancreatic Cancer.
- Author
-
Dreyer SB, Upstill-Goddard R, Paulus-Hock V, Paris C, Lampraki EM, Dray E, Serrels B, Caligiuri G, Rebus S, Plenker D, Galluzzo Z, Brunton H, Cunningham R, Tesson M, Nourse C, Bailey UM, Jones M, Moran-Jones K, Wright DW, Duthie F, Oien K, Evers L, McKay CJ, McGregor GA, Gulati A, Brough R, Bajrami I, Pettitt S, Dziubinski ML, Candido J, Balkwill F, Barry ST, Grützmann R, Rahib L, Johns A, Pajic M, Froeling FEM, Beer P, Musgrove EA, Petersen GM, Ashworth A, Frame MC, Crawford HC, Simeone DM, Lord C, Mukhopadhyay D, Pilarsky C, Tuveson DA, Cooke SL, Jamieson NB, Morton JP, Sansom OJ, Bailey PJ, Biankin AV, and Chang DK
- Subjects
- Adenocarcinoma genetics, Adenocarcinoma therapy, Biomarkers, Cell Culture Techniques, Cell Line, Tumor, Humans, Molecular Targeted Therapy, Organoids, Pancreatic Neoplasms genetics, Pancreatic Neoplasms therapy, Xenograft Model Antitumor Assays, Adenocarcinoma pathology, DNA Damage genetics, DNA Repair genetics, DNA Replication genetics, Pancreatic Neoplasms pathology
- Abstract
Background & Aims: Continuing recalcitrance to therapy cements pancreatic cancer (PC) as the most lethal malignancy, which is set to become the second leading cause of cancer death in our society. The study aim was to investigate the association between DNA damage response (DDR), replication stress, and novel therapeutic response in PC to develop a biomarker-driven therapeutic strategy targeting DDR and replication stress in PC., Methods: We interrogated the transcriptome, genome, proteome, and functional characteristics of 61 novel PC patient-derived cell lines to define novel therapeutic strategies targeting DDR and replication stress. Validation was done in patient-derived xenografts and human PC organoids., Results: Patient-derived cell lines faithfully recapitulate the epithelial component of pancreatic tumors, including previously described molecular subtypes. Biomarkers of DDR deficiency, including a novel signature of homologous recombination deficiency, cosegregates with response to platinum (P < .001) and PARP inhibitor therapy (P < .001) in vitro and in vivo. We generated a novel signature of replication stress that predicts response to ATR (P < .018) and WEE1 inhibitor (P < .029) treatment in both cell lines and human PC organoids. Replication stress was enriched in the squamous subtype of PC (P < .001) but was not associated with DDR deficiency., Conclusions: Replication stress and DDR deficiency are independent of each other, creating opportunities for therapy in DDR-proficient PC and after platinum therapy., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
48. A rare germline CDKN2A variant (47T>G; p16-L16R) predisposes carriers to pancreatic cancer by reducing cell cycle inhibition.
- Author
-
Horn IP, Marks DL, Koenig AN, Hogenson TL, Almada LL, Goldstein LE, Romecin Duran PA, Vera R, Vrabel AM, Cui G, Rabe KG, Bamlet WR, Mer G, Sicotte H, Zhang C, Li H, Petersen GM, and Fernandez-Zapico ME
- Subjects
- Adult, Aged, Female, Humans, Male, Melanoma genetics, Middle Aged, Pancreatic Neoplasms genetics, Pedigree, Cell Cycle, Cyclin-Dependent Kinase Inhibitor p16 genetics, Genetic Predisposition to Disease, Germ-Line Mutation, Heterozygote, Melanoma pathology, Pancreatic Neoplasms pathology
- Abstract
Germline mutations in CDKN2A, encoding the tumor suppressor p16, are responsible for a large proportion of familial melanoma cases and also increase risk of pancreatic cancer. We identified four families through pancreatic cancer probands that were affected by both cancers. These families bore a germline missense variant of CDKN2A (47T>G), encoding a p16-L16R mutant protein associated with high cancer occurrence. Here, we investigated the biological significance of this variant. When transfected into p16-null pancreatic cancer cells, p16-L16R was expressed at lower levels than wild-type (WT) p16. In addition, p16-L16R was unable to bind CDK4 or CDK6 compared with WT p16, as shown by coimmunoprecipitation assays and also was impaired in its ability to inhibit the cell cycle, as demonstrated by flow cytometry analyses. In silico molecular modeling predicted that the L16R mutation prevents normal protein folding, consistent with the observed reduction in expression/stability and diminished function of this mutant protein. We isolated normal dermal fibroblasts from members of the families expressing WT or L16R proteins to investigate the impact of endogenous p16-L16R mutant protein on cell growth. In culture, p16-L16R fibroblasts grew at a faster rate, and most survived until later passages than p16-WT fibroblasts. Further, western blotting demonstrated that p16 protein was detected at lower levels in p16-L16R than in p16-WT fibroblasts. Together, these results suggest that the presence of a CDKN2A (47T>G) mutant allele contributes to an increased risk of pancreatic cancer as a result of reduced p16 protein levels and diminished p16 tumor suppressor function., Competing Interests: Conflict of interest The authors declare that they have no competing interests with the contents of this article., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2021
- Full Text
- View/download PDF
49. Effect of Germline Mutations in Homologous Recombination Repair Genes on Overall Survival of Patients with Pancreatic Adenocarcinoma.
- Author
-
Yadav S, Kasi PM, Bamlet WR, Ho TP, Polley EC, Hu C, Hart SN, Rabe KG, Boddicker NJ, Gnanaolivu RD, Lee KY, Lindstrom TH, Petersen GM, Couch FJ, and McWilliams RR
- Subjects
- Adenocarcinoma genetics, Adenocarcinoma pathology, Aged, Female, Follow-Up Studies, Genetic Testing, Humans, Male, Middle Aged, Pancreatic Neoplasms genetics, Pancreatic Neoplasms pathology, Prognosis, Prospective Studies, Survival Rate, Adenocarcinoma mortality, Biomarkers, Tumor genetics, DNA Repair Enzymes genetics, Germ-Line Mutation, Pancreatic Neoplasms mortality, Recombinational DNA Repair
- Abstract
Purpose: To compare the clinical characteristics and overall survival (OS) of germline mutation carriers in homologous recombination repair (HRR) genes and noncarriers with pancreatic ductal adenocarcinoma (PDAC)., Experimental Design: Germline DNA from 3,078 patients with PDAC enrolled in a prospective registry at Mayo Clinic between 2000 and 2017 was analyzed for mutations in 37 cancer predisposition genes. Characteristics and OS of patients with mutations in eight genes (ATM, BARD1, BRCA1, BRCA2, BRIP1, PALB2, RAD51C, and RAD51D) involved in HRR were compared with patients testing negative for mutations in all 37 genes., Results: The 175 HRR mutation carriers and 2,730 noncarriers in the study had a median duration of follow-up of 9.9 years. HRR mutation carriers were younger (median age at diagnosis: 63 vs. 66 years, P < 0.001) and more likely to have metastatic disease at diagnosis (46% vs. 36%, P = 0.004). In a multivariable model adjusting for sex, age at diagnosis, and tumor staging, patients with germline HRR mutations had a significantly longer OS compared with noncarriers [HR, 0.83; 95% confidence interval (CI), 0.70-0.97; P = 0.02]. Further gene-level analysis demonstrated that germline ATM mutation carriers had longer OS compared with patients without germline mutations in any of the 37 genes (HR, 0.72; 95% CI, 0.55-0.94; P = 0.01)., Conclusions: This study demonstrates that germline mutation carrier status in PDAC is associated with longer OS compared with noncarriers. Further research into tumor biology and response to platinum-based chemotherapy in germline mutation carriers with PDAC are needed to better understand the association with longer OS., (©2020 American Association for Cancer Research.)
- Published
- 2020
- Full Text
- View/download PDF
50. Accuracy of Smoking Status Reporting: Proxy Information in a Rapidly Fatal Cancer Setting.
- Author
-
Stevens MA, Rabe KG, Boursi B, Kolluri A, Singh DP, Bamlet WR, and Petersen GM
- Abstract
Objective: To assess whether patients and relatives can serve as reliable proxy reporters of other family members' cigarette-smoking history., Patients and Methods: Two samples (325 patients, 707 relatives) were identified from the Mayo Clinic Biospecimen Resource for Pancreas Research, enrolled from November, 6, 2000, to March 15, 2018. Smoking-history data, including categorical (ever/never) and quantitative (packs per day and years smoked) smoking measures, were obtained from self-completed questionnaires by patients and relatives. Relative reports were compared with patient reports on self; patient reports were compared with relative reports on self., Results: Overall, spouses and first-degree relatives (FDRs) were accurate (94.5%) when reporting patient ever smoking; spouse reports were 98.6% sensitive and 97.7% accurate. Accuracy of patient reports was 97.8% for spouse smoking and 85.5% for FDR smoking; accuracy varied by relationship of FDR. When not concordant, patients generally over-reported daily packs smoked by relatives and under-reported years smoked. Within a 25% agreement range, spouse reports about patients' daily packs smoked was 46.7%, and years smoked was 69.6%, whereas FDRs were 50% and 64.6%, respectively. When not concordant, relatives generally over-reported daily packs smoked by patients, but no consistent pattern was observed of over- or under-reporting years smoked by patients., Conclusions: Patients and relatives can be reliable proxies for smoking history (ever/never) in their family members, especially spouses. An accurate reporting of smoking status will help physicians to better gauge performance status and family smoking exposures to inform disease management., (© 2020 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc.)
- Published
- 2020
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.