Back to Authors

Thompson, Ian M

0000-0003-0833-952X

Mayo Clinic

CHRISTUS Santa Rosa Hospital - Medical Center, San Antonio, Texas.

Citations 8

Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization
King, Sontoria D. , Veliginti, Swathi , Brouwers, Martijn C.G.J. , Ren, Zhewen , Zheng, Wei , Setiawan, Veronica Wendy , Wilkens, Lynne R. , Shu, Xiao‐Ou , Arslan, Alan A. , Freeman, Laura E. Beane , Bracci, Paige M. , Du, Mengmeng , Gallinger, Steven , Goodman, Phyllis J. , Haiman, Christopher A. , Visvanathan, Kala , White, Emily , Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Brennan, Paul , Buring, Julie E. , Fuchs, Charles S. , Gaziano, J. Michael , Giovannucci, Edward L. , Hackert, Thilo , Hassan, Manal M. , Kurtz, Robert C. , Lee, I‐Min , Oberg, Ann L. , Porta, Miquel , Rothman, Nathaniel , Sesso, Howard D. , Wentzensen, Nicolas , Yu, Kai , Wolpin, Brian M. , Li, Donghui , Patel, Alpa V. , Peters, Ulrike , Ríboli, Elio , Zhong, Jun, Antwi, Samuel O. , Zhong, Jun , Setiawan, Veronica W , Beane Freeman, Laura E , Canzian, Federico , Du, Mengmeng , Gallinger, Steven , Giles, Graham G , Goodman, Phyllis J , Haiman, Christopher A , Kogevinas, Manolis , Kooperberg, Charles , Marchand, Loïc Le , Neale, Rachel E , Visvanathan, Kala , White, Emily , Albanes, Demetrius , Andreotti, Gabriella , Babic, Ana , Berndt, Sonja I , Brais, Lauren K , Brennan, Paul , Buring, Julie E , Chaffee, Kari G. , Bamlet, William R , Chanock, Stephen Jacob , Fuchs, Charles S , Gaziano, J Michael , Giovannucci, Edward L , Hackert, Thilo , Hassan, Manal M , Katzke, Verena , Kurtz, Robert C , Lee, I-Min , Malats, Nuria , Murphy, Neil , Oberg, Ann L , Orlow, Irene , Porta, Miquel , Real, Francisco X , Rothman, Nathaniel , Sesso, Howard D , Silverman, Debra T. , Thompson, Ian M , Wactawski-Wende, Jean , Wang, Xiaoliang , Wentzensen, Nicolas , Yu, Herbert , Zeleniuch-Jacquotte, Anne , Yu, Kai , Wolpin, Brian M , Duell, Eric J , Li, Donghui , Hung, Rayjean J , Perdomo, Sandra , McCullough, Marjorie L , Freedman, Neal D , Patel, Alpa V , Peters, Ulrike , Riboli, Elio , Sund, Malin , Tjønneland, Anne , Zhong, Jun , Van Den Eeden, Stephen K , Kraft, Peter , Risch, Harvey A , Amundadottir, Laufey , Klein, Alison P , Stolzenberg-Solomon, Rachael , Antwi, Samuel O , Arslan, Alan A , Shu, Xiao-Ou , Zheng, Wei , Wilkens, Lynne R , Canzian, Federico , Giles, Graham G. , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , Albanes, Demetrius , Rabe, Kari G. , Bamlet, William R. , Malats, Núria , Murphy, Neil , Orlow, Irene , Real, Francisco X. , Thompson, Ian M. , Wactawski‐Wende, Jean , Wang, Xiaoliang , Yu, Kai , Zeleniuch‐Jacquotte, Anne , Duell, Eric J. , Hung, Rayjean J. , McCullough, Marjorie L. , Freedman, Neal D. , Sund, Malin , Tjønneland, Anne , Kraft, Peter , Risch, Harvey A. , Ámundadóttir, Laufey T. , Klein, Alison P. , Stolzenberg‐Solomon, Rachael Z.

Cancer Epidemiology, Biomarkers & Prevention | June 24, 2023 | Volume: 32 | Issue: 9 | Pages: 1265-1269

10.1158/1055-9965.epi-23-0453 Get It

Abstract Background: There are conflicting data on whether nonalcoholic fatty liver disease (NAFLD) is associated with susceptibility to pancreatic cancer. Using Mendelian randomization (MR), we investigated the relationship between genetic predisposition to NAFLD and risk for pancreatic cancer. Methods: Data from genome-wide association studies (GWAS) within the Pancreatic Cancer Cohort Consortium (PanScan; cases n = 5,090, controls n = 8,733) and the Pancreatic Cancer Case Control Consortium (PanC4; cases n = 4,163, controls n = 3,792) were analyzed. We used data on 68 genetic variants with four different MR methods [inverse variance weighting (IVW), MR-Egger, simple median, and penalized weighted median] separately to predict genetic heritability of NAFLD. We then assessed the relationship between each of the four MR methods and pancreatic cancer risk, using logistic regression to calculate ORs and 95% confidence intervals (CI), adjusting for PC risk factors, including obesity and diabetes. Results: No association was found between genetically predicted NAFLD and pancreatic cancer risk in the PanScan or PanC4 samples [e.g., PanScan, IVW OR, 1.04; 95% confidence interval (CI), 0.88–1.22; MR-Egger OR, 0.89; 95% CI, 0.65–1.21; PanC4, IVW OR, 1.07; 95% CI, 0.90–1.27; MR-Egger OR, 0.93; 95% CI, 0.67–1.28]. None of the four MR methods indicated an association between genetically predicted NAFLD and pancreatic cancer risk in either sample. Conclusions: Genetic predisposition to NAFLD is not associated with pancreatic cancer risk. Impact: Given the close relationship between NAFLD and metabolic conditions, it is plausible that any association between NAFLD and pancreatic cancer might reflect host metabolic perturbations (e.g., obesity, diabetes, or metabolic syndrome) and does not necessarily reflect a causal relationship between NAFLD and pancreatic cancer.
Orteronel for Metastatic Hormone-Sensitive Prostate Cancer: A Multicenter, Randomized, Open-Label Phase III Trial (SWOG-1216)
Agarwal, Neeraj , Tangen, Catherine M. , Hussain, Maha , Gupta, Shilpa , Plets, Melissa , Lara, Primo N. , Harzstark, Andrea, Twardowski, Przemyslaw, Paller, Channing J. , Zylla, Dylan M. , Zibelman, Matthew R. , Levine, Ellis , Roth, Bruce J. , Goldkorn, Amir , Vaena, Daniel A. , Crispino, Tony, Thompson, Ian M. , Hussain, Maha H A , Zylla, Dylan , Kohli, Manish , Vogelzang, Nicholas J , Quinn, David I , Agarwal, Archana M , Paller, Channing J , Tangen, Catherine M , Thompson, Ian M , Kohli, Manish , Vogelzang, Nicholas J.

Journal of Clinical Oncology | April 21, 2022 | Volume: 40 | Issue: 28 | Pages: 3301-3309

10.1200/jco.21.02517 Get It

PURPOSE Orteronel (TAK-700) is a nonsteroidal 17,20-lyase inhibitor suppressing androgen synthesis. We evaluated the clinical benefit of orteronel when added to androgen deprivation therapy (ADT) in patients with newly diagnosed metastatic hormone-sensitive prostate cancer. METHODS In this open-label randomized phase III study, patients with metastatic hormone-sensitive prostate cancer were randomly assigned 1:1 to ADT with orteronel (300 mg oral twice daily; experimental arm) or ADT with bicalutamide (50 mg oral once daily; control arm). The primary objective was the comparison of overall survival (OS), targeting a 33% improvement in median survival. A stratified log-rank test with a one-sided P ≤ .022 would indicate statistical significance. Secondary end points were progression-free survival (PFS), prostate-specific antigen (PSA) level at 7 months (≤ 0.2 v 0.2 to ≤ 4 v > 4 ng/mL), and adverse event profile. RESULTS Among 1,279 patients included in the analysis, 638 were randomly assigned to the ADT plus orteronel arm and 641 to the control arm. The median age was 68 years; 49% had extensive disease. After a median follow-up of 4.9 years, there was a significant improvement in PFS (median 47.6 v 23.0 months, hazard ratio 0.58; 95% CI, 0.51 to 0.67; P < .0001) and PSA response at 7 months ( P < .0001), but not in OS (median 81.1 v 70.2 months, hazard ratio 0.86; 95% CI, 0.72 to 1.02; P = .040, one-sided). More grade 3/4 adverse events occurred in the experimental versus the control arms (43% v 14%). Postprotocol life-prolonging therapy was received by 77.4% of patients in the control arm and 61.3% of patients in the orteronel arm. CONCLUSION The study did not meet the primary end point of improved OS with orteronel. The lack of correlation of PFS and PSA response with OS raises concerns over assumption of their consistent surrogacy for OS in the context of extensive postprotocol therapy in this setting.
Smoking Modifies Pancreatic Cancer Risk Loci on 2q21.3
Mocci, Evelina, Kundu, Prosenjit, Wheeler, William, Arslan, Alan A. , Beane-Freeman, Laura E., Bracci, Paige M., Brennan, Paul , Canzian, Federico , Du, Mengmeng, Gallinger, Steven, Goodman, Phyllis J., Kooperberg, Charles, Marchand, Loic Le, Neale, Rachel E., Shu, Xiao-Ou, Visvanathan, Kala , White, Emily, Zheng, Wei, Albanes, Demetrius, Andreotti, Gabriella, Babic, Ana, Berndt, Sonja I., Bueno-de-Mesquita, Bas, Buring, Julie E., Campa, Daniele, Chanock, Stephen J., Childs, Erica J., Fuchs, Charles S., Gaziano, J. Michael, Giovannucci, Edward L., Goggins, Michael G., Hartge, Patricia, Hassan, Manal M., Holly, Elizabeth A., Hoover, Robert N., Kurtz, Robert C., Lee, I-Min, Ng, Kimmie, Oberg, Ann L. , Panico, Salvatore, Peters, Ulrike, Porta, Miquel, Rabe, Kari G. , Riboli, Elio, Rothman, Nathaniel, Scelo, Ghislaine, Sesso, Howard D. , Silverman, Debra T., Stevens, Victoria L. , Strobel, Oliver , Thompson, Ian M., Tjønneland, Anne , Trichopoulou, Antonia, Wactawski‐Wende, Jean , Wentzensen, Nicolas, Wilkens, Lynne R., Yuan, Fangcheng , Zeleniuch-Jacquotte, Anne, Li, Donghui , Jacobs, Eric J., Petersen, Gloria M., Wolpin, Brian M., Risch, Harvey A., Kraft, Peter, Chatterjee, Nilanjan, Ríboli, Elio , Zeleniuch‐Jacquotte, Anne , Thompson, Ian M. , Mocci, Evelina , Porta, Miquel , Giles, Graham G , Visvanathan, Kala , Bamlet, William R , Blackford, Amanda , Duell, Eric J , Hung, Rayjean J , Malats, Nuria , Milne, Roger L , Oberg, Ann L , Chaffee, Kari G. , Sesso, Howard D , Stevens, Victoria L , Strobel, Oliver , Tjønneland, Anne , Van Den Eeden, Stephen K , Wactawski-Wende, Jean , Yu, Herbert , Yuan, Fangcheng , Amundadottir, Laufey , Li, Donghui , Klein, Alison P , Stolzenberg-Solomon, Rachael , Arslan, Alan A , Canzian, Federico , Riboli, Elio , Porta, Miquel , Thompson, Ian M , Zeleniuch-Jacquotte, Anne , Kundu, Prosenjit, Wheeler, William, Beane-Freeman, Laura E., Bracci, Paige M., Brennan, Paul , Du, Mengmeng, Gallinger, Steven, Goodman, Phyllis J., Kooperberg, Charles, Marchand, Loic Le, Neale, Rachel E., Shu, Xiao-Ou, White, Emily, Zheng, Wei, Albanes, Demetrius, Andreotti, Gabriella, Babic, Ana, Berndt, Sonja I., Bueno-de-Mesquita, Bas, Buring, Julie E., Campa, Daniele, Chanock, Stephen J., Childs, Erica J., Fuchs, Charles S., Gaziano, J. Michael, Giovannucci, Edward L., Goggins, Michael G., Hartge, Patricia, Hassan, Manal M., Holly, Elizabeth A., Hoover, Robert N., Kurtz, Robert C., Lee, I-Min, Ng, Kimmie, Panico, Salvatore, Peters, Ulrike, Rothman, Nathaniel, Scelo, Ghislaine, Silverman, Debra T., Thompson, Ian M., Trichopoulou, Antonia, Wentzensen, Nicolas, Wilkens, Lynne R., Jacobs, Eric J., Petersen, Gloria M., Wolpin, Brian M., Risch, Harvey A., Kraft, Peter, Chatterjee, Nilanjan

Cancer Research | February 11, 2021 | Volume: 81 | Issue: 11 | Pages: 3134-3143

10.1158/0008-5472.can-20-3267 Get It

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 &lt; 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.
Genome-Wide Association Study Data Reveal Genetic Susceptibility to Chronic Inflammatory Intestinal Diseases and Pancreatic Ductal Adenocarcinoma Risk
Yuan, Fangcheng , Hung, Rayjean J. , Walsh, Naomi , Wheeler, William , Song, Lei , Arslan, Alan A. , Bracci, Paige M. , Du, Mengmeng , Gallinger, Steven , Goodman, Phyllis J. , Scélo, Ghislaine , Visvanathan, Kala , Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Brennan, Paul , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Fuchs, Charles S. , Gaziano, J. Michael , Hackert, Thilo , Hartge, Patricia, Hassan, Manal M. , Holly, Elizabeth A. , Hoover, Robert N. , Kirsten, Holger , Kurtz, Robert C. , Lee, I‐Min , Murphy, Neil , Ng, Kimmie , Oberg, Ann L. , Porta, Miquel , Rabe, Kari G. , Real, Francisco X. , Rothman, Nathaniel , Sesso, Howard D. , Thompson, Ian M. , Wactawski‐Wende, Jean , Wentzensen, Nicolas , Zeleniuch‐Jacquotte, Anne , Shi, Jianxin , Li, Donghui , Petersen, Gloria M. , Wolpin, Brian M. , Platz, Elizabeth A. , Arslan, Alan A , Canzian, Federico , Giles, Graham G , Bamlet, William R , Brennan, Paul , Hackert, Thilo , Katzke, Verena , Kirsten, Holger , Malats, Nuria , Milne, Roger L , Oberg, Ann L , Wactawski-Wende, Jean , Yu, Herbert , Duell, Eric J , Amundadottir, Laufey , Li, Donghui , Klein, Alison P , Stolzenberg-Solomon, Rachael , Chaffee, Kari G. , Hung, Rayjean J , Visvanathan, Kala , Yuan, Fangcheng , Murphy, Neil , Porta, Miquel , Real, Francisco X , Thompson, Ian M , Zeleniuch-Jacquotte, Anne , Zhang, Han , Freeman, Laura E. Beane , Canzian, Federico , Giles, Graham G. , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , Rosendahl, Jonas , Shu, Xiao‐Ou , White, Emily , Zheng, Wei , Albanes, Demetrius , Amiano, Pilar , Bamlet, William R. , Campbell, Peter T. , Chanock, Stephen Jacob , Goggins, Michael , Malats, Núria , Milne, Roger L. , Silverman, Debra T. , Wang, Xiaoliang , Wilkens, Lynne R. , Yu, Kai , Duell, Eric J. , Ámundadóttir, Laufey T. , Risch, Harvey A. , Klein, Alison P. , Stolzenberg‐Solomon, Rachael Z.

Cancer Research | July 8, 2020 | Volume: 80 | Issue: 18 | Pages: 4004-4013

10.1158/0008-5472.can-20-0447 Get It

Abstract Registry-based epidemiologic studies suggest associations between chronic inflammatory intestinal diseases and pancreatic ductal adenocarcinoma (PDAC). As genetic susceptibility contributes to a large proportion of chronic inflammatory intestinal diseases, we hypothesize that the genomic regions surrounding established genome-wide associated variants for these chronic inflammatory diseases are associated with PDAC. We examined the association between PDAC and genomic regions (±500 kb) surrounding established common susceptibility variants for ulcerative colitis, Crohn's disease, inflammatory bowel disease, celiac disease, chronic pancreatitis, and primary sclerosing cholangitis. We analyzed summary statistics from genome-wide association studies data for 8,384 cases and 11,955 controls of European descent from two large consortium studies using the summary data-based adaptive rank truncated product method to examine the overall association of combined genomic regions for each inflammatory disease group. Combined genomic susceptibility regions for ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis were associated with PDAC at P values &lt; 0.05 (0.0040, 0.0057, 0.011, and 3.4 × 10−6, respectively). After excluding the 20 PDAC susceptibility regions (±500 kb) previously identified by GWAS, the genomic regions for ulcerative colitis, Crohn disease, and inflammatory bowel disease remained associated with PDAC (P = 0.0029, 0.0057, and 0.0098, respectively). Genomic regions for celiac disease (P = 0.22) and primary sclerosing cholangitis (P = 0.078) were not associated with PDAC. Our results support the hypothesis that genomic regions surrounding variants associated with inflammatory intestinal diseases, particularly, ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis are associated with PDAC. Significance: The joint effects of common variants in genomic regions containing susceptibility loci for inflammatory bowel disease and chronic pancreatitis are associated with PDAC and may provide insights to understanding pancreatic cancer etiology.
Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia
Tang, Hongwei, Jiang, Lai , Arslan, Alan A. , Bracci, Paige M. , Brennan, Paul , Canzian, Federico , Du, Mengmeng , Gallinger, Steven , Goodman, Phyllis J. , Visvanathan, Kala , Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Campa, Daniele , Childs, Erica J., Fuchs, Charles S. , Gaziano, J. Michael , Hartge, Patricia, Hassam, Manal H., Holly, Elizabeth A. , Hoover, Robert N. , Hung, Rayjean J. , Kurtz, Robert C. , Lee, I-Min, Ng, Kimmie , Oberg, Ann L. , Peters, Ulrike , Porta, Miquel , Rabe, Kari G. , Rothman, Nathaniel , Scélo, Ghislaine , Sesso, Howard D. , Thompson, Ian M. , Tjønneland, Anne , Trichopoulou, Antonia , Wactawski‐Wende, Jean , Wentzensen, Nicolas , Zeleniuch‐Jacquotte, Anne , Jacobs, Eric J. , Petersen, Gloria M. , Wolpin, Brian M. , Chatterjee, Nilanjan , Li, Donghui , Arslan, Alan A , Brennan, Paul , Canzian, Federico , Bamlet, William R , Blackford, Amanda , Duell, Eric J , Hung, Rayjean J , Malats, Nuria , Milne, Roger L , Oberg, Ann L , Orlow, Irene , Sesso, Howard D , Tjønneland, Anne , Wactawski-Wende, Jean , Yu, Herbert , Amundadottir, Laufey , Klein, Alison P , Li, Donghui , Chaffee, Kari G. , Visvanathan, Kala , Porta, Miquel , Thompson, Ian M , Zeleniuch-Jacquotte, Anne , Stolzenberg‐Solomon, Rachael Z. , Freeman, Laura E. Beane , Giles, Graham G. , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , Shu, Xiao‐Ou , White, Emily , Zheng, Wei , Albanes, Demetrius , Bamlet, William R. , Chanock, Stephen Jacob , Duell, Eric J. , Goggins, Michael , Malats, Núria , Milne, Roger L. , Orlow, Irene , Rothman, Nathaniel , Silverman, Debra T. , Wilkens, Lynne R. , Yu, Kai , Ámundadóttir, Laufey T. , Risch, Harvey A. , Klein, Alison P. , Kraft, Peter , Wei, Peng

Cancer Epidemiology, Biomarkers & Prevention | June 16, 2020 | Volume: 29 | Issue: 9 | Pages: 1784-1791

10.1158/1055-9965.epi-20-0275 Get It

Abstract Background: Obesity and diabetes are major modifiable risk factors for pancreatic cancer. Interactions between genetic variants and diabetes/obesity have not previously been comprehensively investigated in pancreatic cancer at the genome-wide level. Methods: We conducted a gene–environment interaction (GxE) analysis including 8,255 cases and 11,900 controls from four pancreatic cancer genome-wide association study (GWAS) datasets (Pancreatic Cancer Cohort Consortium I–III and Pancreatic Cancer Case Control Consortium). Obesity (body mass index ≥30 kg/m2) and diabetes (duration ≥3 years) were the environmental variables of interest. Approximately 870,000 SNPs (minor allele frequency ≥0.005, genotyped in at least one dataset) were analyzed. Case–control (CC), case-only (CO), and joint-effect test methods were used for SNP-level GxE analysis. As a complementary approach, gene-based GxE analysis was also performed. Age, sex, study site, and principal components accounting for population substructure were included as covariates. Meta-analysis was applied to combine individual GWAS summary statistics. Results: No genome-wide significant interactions (departures from a log-additive odds model) with diabetes or obesity were detected at the SNP level by the CC or CO approaches. The joint-effect test detected numerous genome-wide significant GxE signals in the GWAS main effects top hit regions, but the significance diminished after adjusting for the GWAS top hits. In the gene-based analysis, a significant interaction of diabetes with variants in the FAM63A (family with sequence similarity 63 member A) gene (significance threshold P &lt; 1.25 × 10−6) was observed in the meta-analysis (PGxE = 1.2 ×10−6, PJoint = 4.2 ×10−7). Conclusions: This analysis did not find significant GxE interactions at the SNP level but found one significant interaction with diabetes at the gene level. A larger sample size might unveil additional genetic factors via GxE scans. Impact: This study may contribute to discovering the mechanism of diabetes-associated pancreatic cancer.
Helicobacter Pylori Infection in Texas Hispanic and Non-Hispanic White Men: Implications for Gastric Cancer Risk Disparities
Parma, Dorothy Long , Muñoz, Edgar , Ogden, Susan M., Westin, Gustavo Figueiredo Marcondes, Leach, Robin J. , Thompson, Ian M. , Westin, Gustavo F, Ramirez, Amelie G , Thompson, Ian M

American Journal of Men's Health | April 17, 2017 | Volume: 11 | Issue: 4 | Pages: 1039-1045

10.1177/1557988317702038 Get It

Chronic Helicobacter pylori ( H. pylori) infection is a major gastric adenocarcinoma (GA) risk factor. GA disproportionately affects U.S. Hispanics compared with non-Hispanic Whites (NHWs). Since H. pylori infection studies in Hispanics are few, infection rates in Hispanic and NHW men in Bexar County were compared, and relationships with ethnicity and obesity examined. Age- and zip code-matched participants from a community-dwelling cohort were randomly selected. Sera from 284 men were analyzed by enzyme immunoassay for H. pylori antibodies. Adjusted risk ratio estimation for matched data was conducted to identify differences. Hispanics had a markedly higher prevalence of infection (30.3%) than NHWs (9.2%). Matched risk ratio (mRR) analyses revealed a strong association between H. pylori seropositivity and Hispanic ethnicity (mRR = 3.31; 95% CI [1.91, 5.73], adjusted by BMI, smoking status, and family history of cancer (mRR range = 3.28-3.89). BMI mRRs (range = 1.19-1.22) were significant in all models. In this cohort, Hispanic men had higher H. pylori infection rates than NHWs, and parallel the disproportionately higher rates of GA; obesity contributes to this higher prevalence. Future studies should address country of origin, acculturation, and other factors influencing obesity to further elucidate risk of GA in Hispanic populations.
Factors Associated with Adherence to an End-of-Study Biopsy: Lessons from the Prostate Cancer Prevention Trial (SWOG-Coordinated Intergroup Study S9217)
Gritz, Ellen R., Arnold, Kathryn B. , Moinpour, Carol M. , Burton‐Chase, Allison M. , Probstfield, Jeffrey F., See, William A., Lieber, Michael M., Caggiano, Vincent , Moody‐Thomas, Sarah, Szczepanek, Connie M. , Ryan, Anne, Carlin, Susie M., Hill, Shannon , Goodman, Phyllis J. , Padberg, Rose Mary, Minasian, Lori M. , Meyskens, Frank L. , Thompson, Ian M. , Tangen, Catherine M. , Thompson, Ian M

Cancer Epidemiology, Biomarkers & Prevention | July 16, 2014 | Volume: 23 | Issue: 8 | Pages: 1638-1648

10.1158/1055-9965.epi-14-0202 Get It

Abstract Background: The Prostate Cancer Prevention Trial (PCPT) was a 7-year randomized, double-blind, placebo-controlled trial of the efficacy of finasteride for the prevention of prostate cancer with a primary outcome of histologically determined prevalence of prostate cancer at the end of 7 years. Methods: A systematic modeling process using logistic regression identified factors available at year 6 that are associated with end-of-study (EOS) biopsy adherence at year 7, stratified by whether participants were ever prompted for a prostate biopsy by year 6. Final models were evaluated for discrimination. At year 6, 13,590 men were available for analysis. Results: Participants were more likely to have the EOS biopsy if they were adherent to study visit schedules and procedures and/or were in good health (P &lt; 0.01). Participants at larger sites and/or sites that received retention and adherence grants were also more likely to have the EOS biopsy (P &lt; 0.05). Conclusions: Our results show good adherence to study requirements 1 year before the EOS biopsy was associated with greater odds that a participant would comply with the invasive EOS requirement. Impact: Monitoring adherence behaviors may identify participants at risk of nonadherence to more demanding study end points. Such information could help frame adherence intervention strategies in future trials. Cancer Epidemiol Biomarkers Prev; 23(8); 1638–48. ©2014 AACR.