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Bapat, Bharati

https://orcid.org/0000-0002-7684-1338

Mayo Clinic

University of North Carolina at Chapel Hill

Citations 5

Cohort Profile: The Colon Cancer Family Registry Cohort (CCFRC)
Jenkins, Mark A. , Win, Aung Ko , Templeton, Allyson , Angelakos, Maggie S, Buchanan, Daniel D. , Cotterchio, Michelle , Figueiredo, Jane C. , Thibodeau, Stephen N. , Gallinger, Steven, Lindor, Noralane M. , Haile, Robert W. , Investigators, Colon Cancer Family Registry Cohort, Ahnen, Dennis J. , Anton, Kristen , Arnold, Julie, Aronson, Melyssa , Aujard, Kelly, Bapat, Bharati , Barker, Melissa, Bickerstaffe, Adrian , Burnett, Terrilea, Daftary, Darshana, DeRycke, Melissa S. , Dicks, Elizabeth , Diep, Anh, Duggan, Dave , Fisher, Douglass, Fox, Samantha , French, Amy J. , Glanz, Karen, Goldblatt, Jack, Goldberg, Richard M. , Goode, Ellen L. , Greenberg, Cary, Green, Jane , Green, Roger, Grove, John H. , Gryfe, Robert, Harmon, Patricia, Holowaty, Eric J., Holter, Spring, Kim, Hyeja, Kirk, Judy, Lance, Peter , Laurino, Mercy , Leggett, Barbara , Levine, A. Joan, Lowery, Jan T. , Lydum, Laurie, Madlensky, Lisa , Makar, Karen , Maskiell, Judi, McAllister, Pamela K., McGannon, Ellen, McKeown‐Eyssen, Gail, McLaughlin, John, Miller-Pakvasa, Heide, Nguyen, Nathalie , Nigon, Sandy, Parafrey, Patrick, Parry, Susan, Peterson, Susan K. , Phipps, Amanda I. , Redston, Mark , Rogers, Scott O., Schully, Sheri D. , Selander, Teresa, Seminara, Daniella, Shiovitz, Stacey, Siegmund, Kim, Smyrk, Thomas C. , Snazel, Douglas, Stubbs, John, Suthers, Graeme , Thomas, Duncan C. , West, D. P., Woods, Michael O. , Younghusband, Ban, Young, Joanne , Buchanan, Daniel D , Win, Aung K , Jenkins, Mark A , Haile, Robert W , Baron, John A. , Potter, John D. , Hopper, John L. , Casey, Graham , Marchand, Loı̈c Le , Newcomb, Polly A. , Investigators, Colon Cancer Family Registry Cohort, Cheng, Iona C. , Church, James M. , Church, Timothy R. , Clendenning, Mark , Esplen, Mary Jane , Giles, Graham G. , Grady, William M. , Keogh, Louise Anne , Limburg, Paul J. , Macrae, Finlay , Malen, Rachel C. , McLaughlin, John, Möslein, Gabriela , Pollett, Aaron F. , Sandler, Robert David , Southey, Melissa C. , Tucker, Kathy

International Journal of Epidemiology | January 16, 2018 | Volume: 47 | Issue: 2 | Pages: 387-388i

10.1093/ije/dyy006 Get It

Ascending the learning curve – MSI testing experience of a six-laboratory consortium
Lindor, Noralane M. , Smalley, Regenia L., Barker, Melissa, Bigler, Jeannette, Krumroy, Lisa M., Lum‐Jones, Annette, Plummer, Sarah J. , Selander, Teresa, Thomas, Sushma , Youash, Michelle, Seminara, Daniela, Bapat, Bharati , Thibodeau, Stephen N. , Casey, Graham

Cancer Biomarkers | January 31, 2017 | Volume: 2 | Issue: 1-2 | Pages: 5-9

10.3233/cbm-2006-21-202 Get It

Association of the Colorectal CpG Island Methylator Phenotype with Molecular Features, Risk Factors, and Family History
Weisenberger, Daniel J. , Levine, A. Joan, Long, Tiffany I. , Buchanan, Daniel D. , Walters, Rhiannon, Rosty, Christophe , Joshi, Amit D. , Lindor, Noralane M. , Daftary, Darshana, Gallinger, Steven , Selander, Teresa, Bapat, Bharati , Ahnen, Dennis J. , Haile, Robert W. , Young, Joanne , Haile, Robert W. , Clendenning, Mark , Stern, Mariana Carla , Marchand, Loı̈c Le , Newcomb, Polly A. , Campbell, Peter T. , Casey, Graham , Baron, John A. , Hopper, John L. , Laird, Peter W. , Siegmund, Kimberly D. , Buchanan, Daniel D , Haile, Robert W , Rosty, Christophe

Cancer Epidemiology, Biomarkers & Prevention | January 13, 2015 | Volume: 24 | Issue: 3 | Pages: 512-519

10.1158/1055-9965.epi-14-1161 Get It

Abstract Background: The CpG island methylator phenotype (CIMP) represents a subset of colorectal cancers characterized by widespread aberrant DNA hypermethylation at select CpG islands. The risk factors and environmental exposures contributing to etiologic heterogeneity between CIMP and non-CIMP tumors are not known. Methods: We measured the CIMP status of 3,119 primary population-based colorectal cancer tumors from the multinational Colon Cancer Family Registry. Etiologic heterogeneity was assessed by a case–case study comparing risk factor frequency of colorectal cancer cases with CIMP and non-CIMP tumors using logistic regression to estimate the case–case odds ratio (ccOR). Results: We found associations between tumor CIMP status and MSI-H (ccOR = 7.6), BRAF V600E mutation (ccOR = 59.8), proximal tumor site (ccOR = 9; all P < 0.0001), female sex [ccOR = 1.8; 95% confidence interval (CI), 1.5–2.1], older age (ccOR = 4.0 comparing over 70 years vs. under 50; 95% CI, 3.0–5.5), and family history of CRC (ccOR = 0.6; 95% CI, 0.5–0.7). While use of NSAIDs varied by tumor CIMP status for both males and females (P = 0.0001 and P = 0.02, respectively), use of multivitamin or calcium supplements did not. Only for female colorectal cancer was CIMP status associated with increased pack-years of smoking (Ptrend < 0.001) and body mass index (BMI; Ptrend = 0.03). Conclusions: The frequency of several colorectal cancer risk factors varied by CIMP status, and the associations of smoking and obesity with tumor subtype were evident only for females. Impact: Differences in the associations of a unique DNA methylation–based subgroup of colorectal cancer with important lifestyle and environmental exposures increase understanding of the molecular pathologic epidemiology of this heavily methylated subset of colorectal cancer. Cancer Epidemiol Biomarkers Prev; 24(3); 512–9. ©2015 AACR.
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)
Molecular Characterization of MSI-H Colorectal Cancer by MLHI Promoter Methylation, Immunohistochemistry, and Mismatch Repair Germline Mutation Screening
Poynter, Jenny N. , Weisenberger, Daniel J. , Long, Tiffany I. , Thibodeau, Stephen N. , Lindor, Noralane M. , Young, Joanne , Jenkins, Mark A. , Buchanan, Daniel D. , Levine, A. Joan, Gallinger, Steven, Bapat, Bharati , Potter, John D. , Haile, Robert W. , Investigators, for the Colon Cancer Family Registry, Siegmund, Kimberly D. , Hopper, John L. , Baron, John A. , Casey, Graham , Marchand, Loı̈c Le , Newcomb, Polly A. , Laird, Peter W. , Investigators, for the Colon Cancer Family Registry, Buchanan, Daniel D , Jenkins, Mark A , Haile, Robert W , Potter, John D

Cancer Epidemiology, Biomarkers & Prevention | November 6, 2008 | Volume: 17 | Issue: 11 | Pages: 3208-3215

10.1158/1055-9965.epi-08-0512 Get It

Abstract Microsatellite instability (MSI) occurs in 10% to 20% of colorectal cancers (CRC) and has been attributed to both MLH1 promoter hypermethylation and germline mutation in the mismatch repair (MMR) genes. We present results from a large population- and clinic-based study of MLH1 methylation, immunohistochemistry, and MMR germline mutations that enabled us to (a) estimate the prevalence of MMR germline mutations and MLH1 methylation among MSI-H cases and help us understand if all MSI-H CRC is explained by these mechanisms and (b) estimate the associations between MLH1 methylation and sex, age, and tumor location within the colon. MLH1 methylation was measured in 1,061 population-based and 172 clinic-based cases of CRC. Overall, we observed MLH1 methylation in 60% of population-based MSI-H cases and in 13% of clinic-based MSI-H cases. Within the population-based cases with MMR mutation screening and conclusive immunohistochemistry results, we identified a molecular event in MMR in 91% of MSI-H cases: 54% had MLH1 methylation, 14% had a germline mutation in a MMR gene, and 23% had immunohistochemistry evidence for loss of a MMR protein. We observed a striking age difference, with the prevalence of a MMR germline mutation more than 4-fold lower and the prevalence of MLH1 methylation more than 4-fold higher in cases diagnosed after the age of 50 years than in cases diagnosed before that age. We also determined that female sex is an independent predictor of MLH1 methylation within the MSI-H subgroup. These results reinforce the importance of distinguishing between the underlying causes of MSI in studies of etiology and prognosis. (Cancer Epidemiol Biomarkers Prev 2008;17(11):3208–15)