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Bishop, D Timothy

0000-0002-8752-8785

Mayo Clinic

Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom.

Citations 12

A Combined Proteomics and Mendelian Randomization Approach to Investigate the Effects of Aspirin-Targeted Proteins on Colorectal Cancer
Nounu, Aayah , Greenhough, Alexander , Heesom, Kate J. , Richmond, Rebecca C. , Weinstein, Stephanie J. , Baron, John A. , Figueiredo, Jane C. , Lindor, Noralane M. , Casey, Graham , Duijnhoven, Fränzel J.B. van , Gsur, Andrea , Vodička, Pavel , Vodičková, Ludmila, Brenner, Hermann , Chang‐Claude, Jenny , Hoffmeister, Michael , Slattery, Martha L. , Gunter, Marc J. , Kim, Hyeong Rok , Li, Li , Bishop, D. Timothy , Gruber, Stephen B. , Rennert, Gad , Harrison, Tabitha A. , Woods, Michael O. , Schafmayer, Clemens , Guelpen, Bethany Van , Gallinger, Steven , Berndt, Sonja I. , Lindblom, Annika , Wu, Anna H. , White, Emily , Peters, Ulrike , Drew, David A. , Scherer, Dominique , Relton, Caroline L. , Weinstein, Stephanie J , Baron, John A , Platz, Elizabeth A. , van Duijnhoven, Fränzel J B , Gsur, Andrea , Moreno, Victor , Brenner, Hermann , Chang-Claude, Jenny , Hoffmeister, Michael , Sakoda, Lori C , Slattery, Martha L , Schoen, Robert E , Castellví-Bel, Sergi , Kweon, Sun-Seog , Bishop, D Timothy , Buchanan, Daniel D , Giles, Graham G , Gruber, Stephen B , Harrison, Tabitha A , Woods, Michael O , Van Guelpen, Bethany , Hampel, Heather , Pharoah, Paul D P , Wolk, Alicja , Drew, David A , Scherer, Dominique , Rennert, Gad , Gunter, Marc J , Vodicka, Pavel , Lindblom, Annika , Zheng, Jie , Albanes, Demetrius , Hopper, John L. , Newcomb, Polly A. , Marchand, Loı̈c Le , Ulrich, Cornelia M. , Li, Christopher I , Campbell, Peter T. , Moreno, Vı́ctor , Sakoda, Lori C. , Schoen, Robert E. , Castellvı́-Bel, Sergi , Chan, Andrew T. , Zheng, Wei , Buchanan, Daniel D. , Giles, Graham G. , Stadler, Zsofia , Lin, Yi , Keku, Temitope O , Hampel, Heather , Pharoah, Paul D.P. , Wolk, Alicja , Bermejo, Justo Lorenzo , Williams, Ann Caroline

Cancer Epidemiology, Biomarkers & Prevention | January 28, 2021 | Volume: 30 | Issue: 3 | Pages: 564-575

10.1158/1055-9965.epi-20-1176 Get It

Abstract Background: Evidence for aspirin's chemopreventative properties on colorectal cancer (CRC) is substantial, but its mechanism of action is not well-understood. We combined a proteomic approach with Mendelian randomization (MR) to identify possible new aspirin targets that decrease CRC risk. Methods: Human colorectal adenoma cells (RG/C2) were treated with aspirin (24 hours) and a stable isotope labeling with amino acids in cell culture (SILAC) based proteomics approach identified altered protein expression. Protein quantitative trait loci (pQTLs) from INTERVAL (N = 3,301) and expression QTLs (eQTLs) from the eQTLGen Consortium (N = 31,684) were used as genetic proxies for protein and mRNA expression levels. Two-sample MR of mRNA/protein expression on CRC risk was performed using eQTL/pQTL data combined with CRC genetic summary data from the Colon Cancer Family Registry (CCFR), Colorectal Transdisciplinary (CORECT), Genetics and Epidemiology of Colorectal Cancer (GECCO) consortia and UK Biobank (55,168 cases and 65,160 controls). Results: Altered expression was detected for 125/5886 proteins. Of these, aspirin decreased MCM6, RRM2, and ARFIP2 expression, and MR analysis showed that a standard deviation increase in mRNA/protein expression was associated with increased CRC risk (OR: 1.08, 95% CI, 1.03–1.13; OR: 3.33, 95% CI, 2.46–4.50; and OR: 1.15, 95% CI, 1.02–1.29, respectively). Conclusions: MCM6 and RRM2 are involved in DNA repair whereby reduced expression may lead to increased DNA aberrations and ultimately cancer cell death, whereas ARFIP2 is involved in actin cytoskeletal regulation, indicating a possible role in aspirin's reduction of metastasis. Impact: Our approach has shown how laboratory experiments and population-based approaches can combine to identify aspirin-targeted proteins possibly affecting CRC risk.
The Association of Tumor Microsatellite Instability Phenotype with Family History of Colorectal Cancer
Bapat, Bharati , Lindor, Noralane M. , Siegmund, Kim, Gallinger, Steve, Jass, Jeremy R., Young, Joanne , Cotterchio, Michelle , Jenkins, Mark A. , Grove, John, Casey, Graham , Thibodeau, Stephen N. , Bishop, D. Timothy , Ahnen, Dennis J. , Potter, John D. , Seminara, Daniela, Registry, and the Colon Cancer Family, Baron, John A. , Li, Lin , Zheng, Yingye , Haile, Robert W. , Hopper, John L. , Newcomb, Polly A. , Marchand, Loı̈c Le , Registry, and the Colon Cancer Family, Jenkins, Mark A , Potter, John D , Bishop, D Timothy

Cancer Epidemiology, Biomarkers & Prevention | March 9, 2009 | Volume: 18 | Issue: 3 | Pages: 967-975

10.1158/1055-9965.epi-08-0878 Get It

Abstract Family history is a strong predictor of colorectal cancer risk; however, a diagnosis of colorectal cancer among first-degree relatives has not been systematically investigated as a function of the colorectal cancer molecular subtypes related to tumor microsatellite instability (MSI) status. We investigated whether the observable familial colorectal cancer risks differed according to tumor MSI subtypes, stratified as MSI-High (>30% instability), MSI-Low (<30% instability), and MSS (no instability). Data from 3,143 population-based colorectal cancer cases from five institutions were assessed for family history according to the Amsterdam criteria and the Bethesda guidelines, age at diagnosis, sex, tumor location, and MSI status. The distribution of patient characteristics by MSI status was compared using polytomous logistic regression. Overall, 2.8% colorectal cancer cases met the Amsterdam criteria and 37% met the Bethesda guidelines. There were 14% MSI-High, 13% MSI-Low, and 73% MSS colorectal cancers. MSI-High (P < 0.0001) and MSI-Low tumors (P = 0.01) were more proximally located than MSS tumors. MSI-High tumors were more common among females (P < 0.001). The highest proportion of MSI-High tumors occurred in cases <40 years of age whereas the age-dependent distribution of MSI-Low tumors was unchanged. MSI-High tumors showed a statistically significant association with increasing numbers of first-degree relatives with colorectal cancer (P = 0.002); this association disappeared, however, when MSI-High cases meeting Amsterdam criteria were removed from the analysis. MSI-Low tumors did not show a similar association with family history of colorectal cancer. Familial risk associated with MSI-High tumors is primarily driven by the Amsterdam-criteria patients. MSI-Low tumors may represent a distinct subtype of colorectal cancer with respect to certain epidemiologic variables studied here. (Cancer Epidemiol Biomarkers Prev 2009;18(3):967–75)