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Browsing by Author "Schoen, Robert E."
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Item AGA White Paper: Roadmap for the Future of Colorectal Cancer Screening in the United States(Elsevier, 2020) Melson, Joshua E.; Imperiale, Thomas F.; Itzkowitz, Steven H.; Llor, Xavier; Kochman, Michael L.; Grady, William M.; Schoen, Robert E.; Burke, Carol; Shaukat, Aasma; Rabeneck, Linda; Ladabaum, Uri; Bresalier, Robert; Spiegel, Brennan; Yee, Judy; Wang, Thomas; Lieberman, David; Komanduri, Srinadh; Muthusamy, V. Raman; Dey, Neelendu; Medicine, School of MedicineItem Beyond GWAS of Colorectal Cancer: Evidence of Interaction with Alcohol Consumption and Putative Causal Variant for the 10q24.2 Region(American Association for Cancer Research, 2022) Jordahl, Kristina M.; Shcherbina, Anna; Kim, Andre E.; Su, Yu-Ru; Lin, Yi; Wang, Jun; Qu, Conghui; Albanes, Demetrius; Arndt, Volker; Baurley, James W.; Berndt, Sonja I.; Bien, Stephanie A.; Bishop, D. Timothy; Bouras, Emmanouil; Brenner, Hermann; Buchanan, Daniel D.; Budiarto, Arif; Campbell, Peter T.; Carreras-Torres, Robert; Casey, Graham; Cenggoro, Tjeng Wawan; Chan, Andrew T.; Conti, David V.; Dampier, Christopher H.; Devall, Matthew A.; Díez-Obrero, Virginia; Dimou, Niki; Drew, David A.; Figueiredo, Jane C.; Gallinger, Steven; Giles, Graham G.; Gruber, Stephen B.; Gsur, Andrea; Gunter, Marc J.; Hampel, Heather; Harlid, Sophia; Harrison, Tabitha A.; Hidaka, Akihisa; Hoffmeister, Michael; Huyghe, Jeroen R.; Jenkins, Mark A.; Joshi, Amit D.; Keku, Temitope O.; Larsson, Susanna C.; Le Marchand, Loic; Lewinger, Juan Pablo; Li, Li; Mahesworo, Bharuno; Moreno, Victor; Morrison, John L.; Murphy, Neil; Nan, Hongmei; Nassir, Rami; Newcomb, Polly A.; Obón-Santacana, Mireia; Ogino, Shuji; Ose, Jennifer; Pai, Rish K.; Palmer, Julie R.; Papadimitriou, Nikos; Pardamean, Bens; Peoples, Anita R.; Pharoah, Paul D. P.; Platz, Elizabeth A.; Potter, John D.; Prentice, Ross L.; Rennert, Gad; Ruiz-Narvaez, Edward; Sakoda, Lori C.; Scacheri, Peter C.; Schmit, Stephanie L.; Schoen, Robert E.; Slattery, Martha L.; Stern, Mariana C.; Tangen, Catherine M.; Thibodeau, Stephen N.; Thomas, Duncan C.; Tian, Yu; Tsilidis, Konstantinos K.; Ulrich, Cornelia M.; van Duijnhoven, Franzel J. B.; Van Guelpen, Bethany; Visvanathan, Kala; Vodicka, Pavel; White, Emily; Wolk, Alicja; Woods, Michael O.; Wu, Anna H.; Zemlianskaia, Natalia; Chang-Claude, Jenny; Gauderman, W. James; Hsu, Li; Kundaje, Anshul; Peters, Ulrike; Epidemiology, Richard M. Fairbanks School of Public HealthBackground: Currently known associations between common genetic variants and colorectal cancer explain less than half of its heritability of 25%. As alcohol consumption has a J-shape association with colorectal cancer risk, nondrinking and heavy drinking are both risk factors for colorectal cancer. Methods: Individual-level data was pooled from the Colon Cancer Family Registry, Colorectal Transdisciplinary Study, and Genetics and Epidemiology of Colorectal Cancer Consortium to compare nondrinkers (≤1 g/day) and heavy drinkers (>28 g/day) with light-to-moderate drinkers (1-28 g/day) in GxE analyses. To improve power, we implemented joint 2df and 3df tests and a novel two-step method that modifies the weighted hypothesis testing framework. We prioritized putative causal variants by predicting allelic effects using support vector machine models. Results: For nondrinking as compared with light-to-moderate drinking, the hybrid two-step approach identified 13 significant SNPs with pairwise r2 > 0.9 in the 10q24.2/COX15 region. When stratified by alcohol intake, the A allele of lead SNP rs2300985 has a dose-response increase in risk of colorectal cancer as compared with the G allele in light-to-moderate drinkers [OR for GA genotype = 1.11; 95% confidence interval (CI), 1.06-1.17; OR for AA genotype = 1.22; 95% CI, 1.14-1.31], but not in nondrinkers or heavy drinkers. Among the correlated candidate SNPs in the 10q24.2/COX15 region, rs1318920 was predicted to disrupt an HNF4 transcription factor binding motif. Conclusions: Our study suggests that the association with colorectal cancer in 10q24.2/COX15 observed in genome-wide association study is strongest in nondrinkers. We also identified rs1318920 as the putative causal regulatory variant for the region. Impact: The study identifies multifaceted evidence of a possible functional effect for rs1318920.Item BID mediates selective killing of APC-deficient cells in intestinal tumor suppression by nonsteroidal antiinflammatory drugs(PNAS, 2014-11-18) Leibowitz, Brian; Qiu, Wei; Buchanan, Monica E.; Zou, Fangdong; Vernon, Philip; Moyer, Mary P.; Yin, Xiao-Ming; Schoen, Robert E.; Yu, Jian; Zhang, Lin; Department of Pathology and Laboratory Medicine, IU School of MedicineColorectal tumorigenesis is driven by genetic alterations in the adenomatous polyposis coli (APC) tumor suppressor pathway and effectively inhibited by nonsteroidal antiinflammatory drugs (NSAIDs). However, how NSAIDs prevent colorectal tumorigenesis has remained obscure. We found that the extrinsic apoptotic pathway and the BH3 interacting-domain death agonist (BID) are activated in adenomas from NSAID-treated patients. Loss of BID abolishes NSAID-mediated tumor suppression, survival benefit, and apoptosis in tumor-initiating stem cells in APC(Min/+) mice. BID-mediated cross-talk between the extrinsic and intrinsic apoptotic pathways is responsible for selective killing of neoplastic cells by NSAIDs. We further demonstrate that NSAIDs induce death receptor signaling in both cancer and normal cells, but only activate BID in cells with APC deficiency and ensuing c-Myc activation. Our results suggest that NSAIDs suppress intestinal tumorigenesis through BID-mediated synthetic lethality triggered by death receptor signaling and gatekeeper mutations, and provide a rationale for developing more effective cancer prevention strategies and agents.Item Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk(Oxford, 2022) Tian, Yu; Kim, Andre E.; Bien, Stephanie A.; Lin, Yi; Qu, Conghui; Harrison, Tabitha A.; Carreras-Torres, Robert; Díez-Obrero, Virginia; Dimou, Niki; Drew , David A.; Hidaka, Akihisa; Huyghe, Jeroen R.; Jordahl, Kristina M.; Morrison , John; Murphy, Neil; Obón-Santacana, Mireia; Ulrich, Cornelia M.; Ose, Jennifer; Peoples, Anita R.; Ruiz-Narvaez, Edward A.; Shcherbina, Anna; Stern , Mariana C.; Su, Yu-Ru; van Duijnhoven, Franzel J. B.; Arndt, Volker; Baurley, James W.; Berndt, Sonja I.; Bishop, D. Timothy; Brenner, Hermann; Buchanan, Daniel D.; Chan, Andrew T.; Figueiredo, Jane C.; Gallinger, Steven; Gruber, Stephen B.; Harlid, Sophia; Hoffmeister, Michael; Jenkins, Mark A.; Joshi, Amit D.; Keku, Temitope O.; Larsson, Susanna C.; Marchand, Loic Le; Li, Li; Giles, Graham G.; Milne, Roger L.; Nan, Hongmei; Nassir, Rami; Ogino, Shuji; Budiarto, Arif; Platz, Elizabeth A.; Potter, John D.; Prentice, Ross L.; Rennert, Gad; Sakoda, Lori C.; Schoen, Robert E.; Slattery, Martha L.; Thibodeau, Stephen N.; Van Guelpen, Bethany; Visvanathan, Kala; White, Emily; Wolk, Alicja; Woods, Michael O.; Wu, Anna H.; Campbell, Peter T.; Casey, Graham; Conti, David V.; Gunter, Marc J.; Kundaje, Anshul; Lewinger, Juan Pablo; Moreno, Victor; Newcomb, Polly A.; Pardamean, Bens; Thomas, Duncan C.; Tsilidis, Konstantinos K.; Peters, Ulrike; Gauderman, W. James; Hsu, Li; Chang-Claude, Jenny; Community and Global Health, Richard M. Fairbanks School of Public HealthBackground: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. Methods: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2– or 3–degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. Results: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2–degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10−4). Conclusion: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.Item Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response(American Association for Cancer Research, 2023) Carreras-Torres, Robert; Kim, Andre E.; Lin, Yi; Díez-Obrero, Virginia; Bien, Stephanie A.; Qu, Conghui; Wang, Jun; Dimou, Niki; Aglago, Elom K.; Albanes, Demetrius; Arndt, Volker; Baurley, James W.; Berndt, Sonja I.; Bézieau, Stéphane; Bishop, D. Timothy; Bouras, Emmanouil; Brenner, Hermann; Budiarto, Arif; Campbell, Peter T.; Casey, Graham; Chan, Andrew T.; Chang-Claude, Jenny; Chen, Xuechen; Conti, David V.; Dampier, Christopher H.; Devall, Matthew A. M.; Drew, David A.; Figueiredo, Jane C.; Gallinger, Steven; Giles, Graham G.; Gruber, Stephen B.; Gsur, Andrea; Gunter, Marc J.; Harrison, Tabitha A.; Hidaka, Akihisa; Hoffmeister, Michael; Huyghe, Jeroen R.; Jenkins, Mark A.; Jordahl, Kristina M.; Kawaguchi, Eric; Keku, Temitope O.; Kundaje, Anshul; Le Marchand, Loic; Lewinger, Juan Pablo; Li, Li; Mahesworo, Bharuno; Morrison, John L.; Murphy, Neil; Nan, Hongmei; Nassir, Rami; Newcomb, Polly A.; Obón-Santacana, Mireia; Ogino, Shuji; Ose, Jennifer; Pai, Rish K.; Palmer, Julie R.; Papadimitriou, Nikos; Pardamean, Bens; Peoples, Anita R.; Pharoah, Paul D. P.; Platz, Elizabeth A.; Rennert, Gad; Ruiz-Narvaez, Edward; Sakoda, Lori C.; Scacheri, Peter C.; Schmit, Stephanie L.; Schoen, Robert E.; Shcherbina, Anna; Slattery, Martha L.; Stern, Mariana C.; Su, Yu-Ru; Tangen, Catherine M.; Thomas, Duncan C.; Tian, Yu; Tsilidis, Konstantinos K.; Ulrich, Cornelia M.; van Duijnhoven, Fränzel J. B.; Van Guelpen, Bethany; Visvanathan, Kala; Vodicka, Pavel; Wawan Cenggoro, Tjeng; Weinstein, Stephanie J.; White, Emily; Wolk, Alicja; Woods, Michael O.; Hsu, Li; Peters, Ulrike; Moreno, Victor; Gauderman, W. James; Epidemiology, Richard M. Fairbanks School of Public HealthBackground: Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer. Methods: A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia. Results: Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33). Conclusions: Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response. Impact: These findings can guide potential prevention treatments.Item Smoking Behavior and Prognosis After Colorectal Cancer Diagnosis: A Pooled Analysis of 11 Studies(Oxford University Press, 2021-08-31) Alwers, Elizabeth; Carr, Prudence R.; Banbury, Barbara; Walter, Viola; Chang-Claude, Jenny; Jansen, Lina; Drew, David A.; Giovannucci, Edward; Nan, Hongmei; Berndt, Sonja I.; Huang, Wen-Yi; Prizment, Anna; Hayes, Richard B.; Sakoda, Lori C.; White, Emily; Labadie, Julia; Slattery, Martha; Schoen, Robert E.; Diergaarde, Brenda; van Guelpen, Bethany; Campbell, Peter T.; Peters, Ulrike; Chan, Andrew T.; Newcomb, Polly A.; Hoffmeister, Michael; Brenner, Hermann; Community and Global Health, Richard M. Fairbanks School of Public HealthBackground: Smoking has been associated with colorectal cancer (CRC) incidence and mortality in previous studies, but current evidence on smoking in association with survival after CRC diagnosis is limited. Methods: We pooled data from 12 345 patients with stage I-IV CRC from 11 epidemiologic studies in the International Survival Analysis in Colorectal Cancer Consortium. Cox proportional hazards regression models were used to evaluate the associations of prediagnostic smoking behavior with overall, CRC-specific, and non-CRC-specific survival. Results: Among 12 345 patients with CRC, 4379 (35.5%) died (2515 from CRC) over a median follow-up time of 7.5 years. Smoking was strongly associated with worse survival in stage I-III patients, whereas no association was observed among stage IV patients. Among stage I-III patients, clear dose-response relationships with all survival outcomes were seen for current smokers. For example, current smokers with 40 or more pack-years had statistically significantly worse overall, CRC-specific, and non-CRC-specific survival compared with never smokers (hazard ratio [HR] =1.94, 95% confidence interval [CI] =1.68 to 2.25; HR = 1.41, 95% CI = 1.12 to 1.78; and HR = 2.67, 95% CI = 2.19 to 3.26, respectively). Similar associations with all survival outcomes were observed for former smokers who had quit for less than 10 years, but only a weak association with non-CRC-specific survival was seen among former smokers who had quit for more than 10 years. Conclusions: This large consortium of CRC patient studies provides compelling evidence that smoking is strongly associated with worse survival of stage I-III CRC patients in a clear dose-response manner. The detrimental effect of smoking was primarily related to noncolorectal cancer events, but current heavy smoking also showed an association with CRC-specific survival.Item Strategies for Colorectal Cancer Screening(Elsevier, 2019) Ladabaum, Uri; Dominitz, Jason A.; Kahi, Charles; Schoen, Robert E.; Medicine, School of MedicineThe incidence of colorectal cancer (CRC) is increasing worldwide. CRC has high mortality when detected at advanced stages, yet it is also highly preventable. Given the difficulties in implementing major lifestyle changes or widespread primary prevention strategies to decrease CRC risk, screening is the most powerful public health tool to reduce mortality. Screening methods are effective but have limitations. Furthermore, many screen-eligible persons remain unscreened. We discuss established and emerging screening methods, and potential strategies to address current limitations in CRC screening. A quantum step in CRC prevention might come with the development of new screening strategies, but great gains can be made by deploying the available CRC screening modalities in ways that optimize outcomes while making judicious use of resources.