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Thibodeau, Stephen N.

https://orcid.org/0000-0003-0078-8558

Mayo Clinic

Mayo Clinic

Citations 169

Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in All of Us Research Program Participants, 2 January to 18 March 2020
Althoff, Keri N. , Schlueter, David J., Cherry, James D., Denny, Joshua C. , Karlson, Elizabeth W. , Havers, Fiona P. , Cicek, Mine , Thibodeau, Stephen N. , Lowy, Douglas R. , Malin, Bradley , Ohno‐Machado, Lucila , Williams, Carolyn , Goldstein, David, Kouame, Aymone, Ramirez, Andrea H. , Roman, Adrienne S. , Schully, Sheri D. , Cicek, Mine S., Denny, Joshua C , Anton‐Culver, Hoda , Thomsen, Isaac P. , Pinto, Ligia A , Sharpless, Norman E , Gebo, Kelly A

Clinical Infectious Diseases | June 3, 2021 | Volume: 74 | Issue: 4 | Pages: 584-590

10.1093/cid/ciab519 Get It

Abstract Background With limited severe acute respiratory syndrome coronavirus (SARS-CoV-2) testing capacity in the United States at the start of the epidemic (January–March 2020), testing was focused on symptomatic patients with a travel history throughout February, obscuring the picture of SARS-CoV-2 seeding and community transmission. We sought to identify individuals with SARS-CoV-2 antibodies in the early weeks of the US epidemic. Methods All of Us study participants in all 50 US states provided blood specimens during study visits from 2 January to 18 March 2020. Participants were considered seropositive if they tested positive for SARS-CoV-2 immunoglobulin G (IgG) antibodies with the Abbott Architect SARS-CoV-2 IgG enzyme-linked immunosorbent assay (ELISA) and the EUROIMMUN SARS-CoV-2 ELISA in a sequential testing algorithm. The sensitivity and specificity of these ELISAs and the net sensitivity and specificity of the sequential testing algorithm were estimated, along with 95% confidence intervals (CIs). Results The estimated sensitivities of the Abbott and EUROIMMUN assays were 100% (107 of 107 [95% CI: 96.6%–100%]) and 90.7% (97 of 107 [83.5%–95.4%]), respectively, and the estimated specificities were 99.5% (995 of 1000 [98.8%–99.8%]) and 99.7% (997 of 1000 [99.1%–99.9%]), respectively. The net sensitivity and specificity of our sequential testing algorithm were 90.7% (97 of 107 [95% CI: 83.5%–95.4%]) and 100.0% (1000 of 1000 [99.6%–100%]), respectively. Of the 24 079 study participants with blood specimens from 2 January to 18 March 2020, 9 were seropositive, 7 before the first confirmed case in the states of Illinois, Massachusetts, Wisconsin, Pennsylvania, and Mississippi. Conclusions Our findings identified SARS-CoV-2 infections weeks before the first recognized cases in 5 US states.
Genetic architectures of proximal and distal colorectal cancer are partly distinct
Huyghe, Jeroen R. , Harrison, Tabitha A. , Figueiredo, Jane C. , Schmit, Stephanie L. , Chen, Sai , Barfield, Richard , Cross, Amanda J. , Diergaarde, Brenda , Duggan, David , Harlid, Sophia , Imaz, Liher , Kang, Hyun Min , Levine, David , Perduca, Vittorio , Perez‐Cornago, Aurora , Slattery, Martha L. , Duijnhoven, Fränzel J.B. van , Guelpen, Bethany Van , Anderson, Kristin E. , Arnau‐Collell, Coral, Banbury, Barbara L. , Berndt, Sonja I. , Bishop, D. Timothy , Boehm, Juergen , Boeing, Heiner , Brenner, Hermann , Buch, Stephan , Burnett‐Hartman, Andrea N. , Carr, Prudence R. , Castells, Antoni , Chang‐Claude, Jenny , Curtis, Keith R. , Chapelle, Albert de la , Easton, Douglas F. , English, Dallas R. , Gala, Manish , Gallinger, Steven , Gauderman, W. James, Goodman, Phyllis J. , Grove, John, Gsur, Andrea , Gunter, Marc J. , Haile, Robert W. , Hampe, Jochen , Hoffmeister, Michael , Hsu, Wan‐Ling, Huang, Wen‐Yi , Joshi, Amit D. , Kühn, Tilman , Küry, Sébastien , Lejbkowicz, Flavio, Li, Li , Lindblom, Annika , Lindor, Noralane M. , Markowitz, Sanford D. , Moreno, Lorena , Murphy, Neil , Nassir, Rami , Offit, Kenneth, Parfrey, Patrick S. , Pearlman, Rachel , Phipps, Amanda I. , Prentice, Ross L. , Qi, Lihong , Rennert, Gad , Rennert, Hedy S., Ríboli, Elio , Schafmayer, Clemens, Seminara, Daniela, Song, Mingyang , Su, Yu‐Ru, Thibodeau, Stephen N. , Thomas, Duncan C. , Trichopoulou, Antonia , Visvanathan, Kala, Vodička, Pavel , Vodičková, Ludmila, Weigl, Korbinian , Weinstein, Stephanie J. , Woods, Michael O. , Wu, Anna H. , Nickerson, Deborah A. , Scacheri, Peter C. , Kundaje, Anshul , Casey, Graham , Gruber, Stephen B. , Hayes, Richard B. , Peters, Ulrike , Visvanathan, Kala , Brenner, Hermann , Buchanan, Daniel D , Chan, Andrew T , Gsur, Andrea , Hampe, Jochen , Hoffmeister, Michael , Huang, Wen-Yi , Jenab, Mazda , Murphy, Neil , Peters, Ulrike , Rennert, Gad , English, Dallas R , Gunter, Marc J , Haile, Robert W , Harrison, Tabitha A , Van Guelpen, Bethany , Visvanathan, Kala , Kury, Sebastien , Bishop, D Timothy , Song, Mingyang , Hayes, Richard B , Perez-Cornago, Aurora , Nassir, Rami , Kundaje, Anshul , Riboli, Elio , Vodicka, Pavel , Diergaarde, Brenda , Lindblom, Annika , Bien, Stephanie A. , Hampel, Heather , Conti, David V. , Qu, Conghui , Lin, Yi , Baron, John A. , Sakoda, Lori C. , Schumacher, Fredrick R. , Toland, Amanda Ewart , Agudo, Antonio , Albanes, Demetrius , Alonso, M. Henar , Arndt, Volker , Bassik, Michael Cory , Bezieau, Stéphane , Boutron‐Ruault, Marie‐Christine , Brezina, Stefanie , Buchanan, Daniel D. , Caan, Bette J. , Campbell, Peter T. , Castellvı́-Bel, Sergi , Chan, Andrew T. , Chanock, Stephen Jacob , Feskens, Edith J. M. , Giles, Graham G. , Grady, William M. , Hopper, John L. , Hudson, Thomas J , Jenab, Mazda , Jenkins, Mark A. , Keku, Temitope O , Kooperberg, Charles , Marchand, Loı̈c Le , Li, Christopher I , Lieb, Wolfgang , Männistö, Satu , Milne, Roger L. , Ogino, Shuji , Panico, Salvatore , Pharoah, Paul D.P. , Platz, Elizabeth A. , Potter, John D. , Raskin, Leon , Schoen, Robert E. , Tangen, Catherine M. , Ulrich, Cornelia M. , Vymetalkova, Veronika Polakova , White, Emily E. , Wolk, Alicja , Abecasis, Gonçalo R. , Hsu, Li , Moreno, Vı́ctor , Newcomb, Polly A.

Gut | February 25, 2021 | Volume: 70 | Issue: 7 | Pages: 1325-1334

10.1136/gutjnl-2020-321534 Get It

Objective An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined. Design To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling. Results We identified 13 loci that reached genome-wide significance (p<5×10 −8 ) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer. Conclusion Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
Abstract 54: An miRNA transcriptome-wide association study of prostate cancer risk
Thibodeau, Stephen N. , Larson, Nicholas B. , McDonnell, Shannon K. , Fogarty, Zachary C.

Cancer Research | September 4, 2020 | Volume: 80 | Issue: 16_Supplement | Pages: 54-54

10.1158/1538-7445.am2020-54 Get It

Abstract Background: Large genome-wide association studies (GWAS) have identified hundreds of single-nucleotide polymorphisms (SNPs) associated with increased risk of prostate cancer (PRCA). The majority of these risk loci are intergenic and the underlying causal variants are presumed to confer regulatory effects on gene expression. While follow-up eQTL studies have begun to explore putative regulatory targets of PRCA risk SNPs, these have largely focused on protein-coding genes. Recent evidence demonstrates that pri-miRNA transcripts are susceptible to the same cis-acting regulatory effects as other long RNAs, and PRCA risk SNPs may confer systemic impacts on the prostate transcriptome through miRNA expression dysregulation. However, no miRNA transcriptome-wide association studies (TWAS) of PRCA risk have been conducted to date, and the role of miRNA dysregulation in PRCA risk is poorly understood. Methods: We performed a comprehensive miRNA TWAS of PRCA risk using small RNA sequencing and genome-wide genotyping data from N = 441 normal prostate tissue samples from Mayo Clinic along with N = 411 prostate adenocarcinoma (PRAD) tumor samples from the Cancer Genome Atlas (TCGA). Both miRNA expression datasets were uniformly processed separately using the CAP-miRSeq miRNA workflow and trimmed mean of M (TMM) normalization. Expressed mature miRNAs were identified as ≥ 5 reads in &gt;25% of samples. PEER was used to remove known and latent factors on miRNA expression levels, and subsequent analyses were performed on residual values. Genetically regulated expression (GReX) prediction models were trained for all expressed miRNAs with evidence of cis-heritability (P&lt;0.01) in the respective normal and tumor datasets using the FUSION TWAS software. TWAS for PRCA risk was performed with both sets of GReX models using single-SNP summary statistics from the recent PRACTICAL consortium PRCA case-control OncoArray GWAS meta-analysis. Significant TWAS associations were declared at a false discovery rate of 0.05. Results: A total of 615 and 571 distinct expressed miRNAs were identified in the normal and tumor tissue datasets, respectively (overlap: 480). Among these, 98 (16%) normal tissue miRNAs demonstrated significant cis-heritability (median cis-h2 = 0.09, range: 0.04-0.79) for GReX model training. Similar results were obtained from TCGA tumor samples, with 63 (11%) miRNA GReX models successfully trained (median cis-h2 = 0.11, range: 0.05-0.60). Using normal tissue GReX models, we identified three significant TWAS miRNA associations with PRCA risk: over-expression of mir-941 family miRNAs (PTWAS = 3.1E-04) and reduced expression of miR-3617-5p (PTWAS = 1.7E-04) and hsa-miR-16-2-3p (PTWAS = 9.1E-04). The TCGA tumor TWAS also identified a significant association with miR-941 overexpression (PTWAS = 9.7E-04). All associated miRNAs have previously reported oncogenic or tumor-suppressive associations in other cancer types. Conclusions: We identified significant associations with PRCA genetic risk and miRNA expression dysregulation using tumor and normal prostate tissue data. Future work will examine downstream regulatory effects of miRNA dysregulation as well as miRNA-mediated risk mechanisms via competing endogenous RNA relationships. Citation Format: Nicholas B. Larson, Shannon K. McDonnell, Zachary Fogarty, Stephen N. Thibodeau. An miRNA transcriptome-wide association study of prostate cancer risk [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 54.
Model-based prediction of defective DNA mismatch repair using clinicopathological variables in stage II and III colon cancers
French, A. J. , Foster, Nathan R. , Thibodeau, Stephen N. , OʼConnell, M. J., Sinicrope, Frank A. , Sargent, Daniel J.

Journal of Clinical Oncology | August 25, 2020 | Volume: 27 | Issue: 15_suppl | Pages: 11093-11093

10.1200/jco.2009.27.15_suppl.11093 Get It

11093 Background: Defective DNA mismatch repair (MMR) results in microsatellite instability (MSI) and is detected in approximately 15% of sporadic colon cancers. MMR status has been shown to provide prognostic and predictive information in primary colon cancers. We sought to develop a model to predict MMR deficiency using clinically available data, and thereby facilitate patient selection for MMR or MSI testing. Methods: TNM stage II and III colon carcinomas (n= 982) were studied from six 5- fluorouracil-based adjuvant therapy trials conducted by the North Central Cancer Treatment Group. MMR status in tumors had been analyzed by MSI (using mono- and dinucleotide markers) or by immunohistochemistry for MMR proteins (hMLH1 and hMSH2). Logistic regression and a recursive partitioning and amalgamation (RPA) analysis was used to identify important predictive factors of MMR status. Factors explored included age, gender, histologic grade, tumor site, stage, lymph node metastases, and T-stage. Results: Defective MMR was found in147 (15%) cancers. Tumor site was the most important predictor of MMR status followed by histologic grade. Distal tumors had a low likelihood of defective MMR (3% rate overall; 13/468), whereas proximal tumors had a greater likelihood of defective MMR (26%; 130/506). For patients with proximal tumors, the addition of histologic grade and gender increased the prediction of defective MMR ( Table ). Using tumor site, histologic grade, and gender, the logistic regression model showed excellent discrimination (c- statistic = 0.81). Conclusions: Tumor site is an important predictor of defective MMR that is rare in distal and increased in proximal tumors. The combination of proximal site, poor differentiation, and female gender resulted in a 51% likelihood of defective MMR. Therefore, this model can facilitate the selection of sporadic colon cancers for MMR or MSI testing to enable its use in clinical decision-making. [Table: see text] No significant financial relationships to disclose.
Intake of Dietary Fruit, Vegetables, and Fiber and Risk of Colorectal Cancer According to Molecular Subtypes: A Pooled Analysis of 9 Studies
Hidaka, Akihisa , Harrison, Tabitha A. , Cao, Yin , Sakoda, Lori C. , Barfield, Richard , Giannakis, Marios , Phipps, Amanda I. , Figueiredo, Jane C. , Zaidi, Syed Hassan Ejaz , Berndt, Sonja I. , Borozan, Ivan , Gallinger, Steven , Gunter, Marc J. , Guinter, Mark A. , Harlid, Sophia , Moreno, Vı́ctor , Nishihara, Reiko , Obón‐Santacana, Mireia , Parfrey, Patrick S. , Slattery, Martha L. , Steinfelder, Robert S. , Wang, Xiaoliang , Woods, Michael O. , Guelpen, Bethany Van , Thibodeau, Stephen N. , Hoffmeister, Michael , Peters, Ulrike , Amitay, Efrat L , Guinter, Mark A , Harlid, Sophia , Hampel, Heather , Moreno, Victor , Ogino, Shuji , Potter, John D , Slattery, Martha L , Um, Caroline Y , Van Guelpen, Bethany , Hoffmeister, Michael , Sun, Wei , Buchanan, Daniel D , Sakoda, Lori C , Cao, Yin , Gunter, Marc J , Harrison, Tabitha A , Hidaka, Akihisa , Wang, Xiaoliang , Obón-Santacana, Mireia , Song, Mingyang , Toland, Amanda Ewart , Amitay, Efrat L. , Chan, Andrew T. , Hampel, Heather , Jenkins, Mark A. , Lin, Yi , Newcomb, Polly A. , Potter, John D. , Um, Caroline Y. , Sun, Wei , Hsu, Li , Buchanan, Daniel D. , Campbell, Peter T.

Cancer Research | August 14, 2020 | Volume: 80 | Issue: 20 | Pages: 4578-4590

10.1158/0008-5472.can-20-0168 Get It

Abstract Protective associations of fruits, vegetables, and fiber intake with colorectal cancer risk have been shown in many, but not all epidemiologic studies. One possible reason for study heterogeneity is that dietary factors may have distinct effects by colorectal cancer molecular subtypes. Here, we investigate the association of fruit, vegetables, and fiber intake with four well-established colorectal cancer molecular subtypes separately and in combination. Nine observational studies including 9,592 cases with molecular subtypes for microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and somatic mutations in BRAF and KRAS genes, and 7,869 controls were analyzed. Both case-only logistic regression analyses and polytomous logistic regression analyses (with one control set and multiple case groups) were used. Higher fruit intake was associated with a trend toward decreased risk of BRAF-mutated tumors [OR 4th vs. 1st quartile = 0.82 (95% confidence interval, 0.65–1.04)] but not BRAF-wildtype tumors [1.09 (0.97–1.22); P difference as shown in case-only analysis = 0.02]. This difference was observed in case–control studies and not in cohort studies. Compared with controls, higher fiber intake showed negative association with colorectal cancer risk for cases with microsatellite stable/MSI-low, CIMP-negative, BRAF-wildtype, and KRAS-wildtype tumors (Ptrend range from 0.03 to 3.4e-03), which is consistent with the traditional adenoma-colorectal cancer pathway. These negative associations were stronger compared with MSI-high, CIMP-positive, BRAF-mutated, or KRAS-mutated tumors, but the differences were not statistically significant. These inverse associations for fruit and fiber intake may explain, in part, inconsistent findings between fruit or fiber intake and colorectal cancer risk that have previously been reported. Significance: These analyses by colorectal cancer molecular subtypes potentially explain the inconsistent findings between dietary fruit or fiber intake and overall colorectal cancer risk that have previously been reported.
A Genetic Risk Score to Personalize Prostate Cancer Screening, Applied to Population Data
Huynh‐Le, Minh‐Phuong , Fan, Chun Chieh , Karunamuni, Roshan , Walsh, Eleanor , Turner, Emma L. , Gillatt, David , Martin, Richard M. , Neal, David E. , Donovan, Jenny , Parsons, J. Kellogg , Eeles, Rosalind A. , Easton, Douglas F. , Kote‐Jarai, Zsofia , Olama, Ali Amin Al , Garcia, Sara Benlloch, Grönberg, Henrik , Schleutker, Johanna , Tammela, Teuvo L.J. , Nordestgaard, Børge G. , Travis, Ruth C. , Pashayan, Nora , Thibodeau, Stephen N. , Schaid, Daniel J. , Maier, Christiane, Vogel, Walther , Luedeke, Manuel, Herkommer, Kathleen , Kibel, Adam S. , Wokołorczyk, Dominika , Kluźniak, Wojciech , Holleczek, Bernd , Sellers, Thomas A. , Slavov, Chavdar Kroumov, Kaneva, Radka , Mitev, Vanio , Batra, Jyotsna , Teixeira, Manuel R. , Paulo, Paula , Maia, Sofia , Pandha, Hardev , Mills, Ian G. , Dale, Anders M. , Seibert, Tyler M. , Lane, J. Athene , Walsh, Eleanor I , Lane, J Athene , Donovan, Jenny L , Eeles, Rosalind A , Amin Al Olama, Ali , Muir, Kenneth , Grönberg, Henrik , Wiklund, Fredrik E. , Schleutker, Johanna , Key, Tim , Travis, Ruth C , Pharoah, Paul D P , Pashayan, Nora , Herkommer, Kathleen , Cannon-Albright, Lisa A , Brenner, Hermann , Schöttker, Ben , Park, Jong Y , Lin, Hui-Yi , Spurdle, Amanda B , Teixeira, Manuel R , Michael, Agnieszka , Mills, Ian G , Seibert, Tyler M , Dale, Anders M , Martin, Richard M , Batra, Jyotsna , Hamdy, Freddie C. , Muir, Kenneth , Aly, Markus , Sipeky, Csilla , Pharoah, Paul D.P. , Khaw, Kay‐Tee , McDonnell, Shannon K. , Cybulski, Cezary , Cannon‐Albright, Lisa , Park, Jong Y. , Lin, Hui‐Yi , Clements, Judith A. , Spurdle, Amanda B. , Michael, Agnieszka , Andreassen, Ole A.

Cancer Epidemiology, Biomarkers & Prevention | June 24, 2020 | Volume: 29 | Issue: 9 | Pages: 1731-1738

10.1158/1055-9965.epi-19-1527 Get It

Abstract Background: A polygenic hazard score (PHS), the weighted sum of 54 SNP genotypes, was previously validated for association with clinically significant prostate cancer and for improved prostate cancer screening accuracy. Here, we assess the potential impact of PHS-informed screening. Methods: United Kingdom population incidence data (Cancer Research United Kingdom) and data from the Cluster Randomized Trial of PSA Testing for Prostate Cancer were combined to estimate age-specific clinically significant prostate cancer incidence (Gleason score ≥7, stage T3–T4, PSA ≥10, or nodal/distant metastases). Using HRs estimated from the ProtecT prostate cancer trial, age-specific incidence rates were calculated for various PHS risk percentiles. Risk-equivalent age, when someone with a given PHS percentile has prostate cancer risk equivalent to an average 50-year-old man (50-year-standard risk), was derived from PHS and incidence data. Positive predictive value (PPV) of PSA testing for clinically significant prostate cancer was calculated using PHS-adjusted age groups. Results: The expected age at diagnosis of clinically significant prostate cancer differs by 19 years between the 1st and 99th PHS percentiles: men with PHS in the 1st and 99th percentiles reach the 50-year-standard risk level at ages 60 and 41, respectively. PPV of PSA was higher for men with higher PHS-adjusted age. Conclusions: PHS provides individualized estimates of risk-equivalent age for clinically significant prostate cancer. Screening initiation could be adjusted by a man's PHS. Impact: Personalized genetic risk assessments could inform prostate cancer screening decisions.
Postmenopausal Hormone Therapy and Colorectal Cancer Risk by Molecularly Defined Subtypes and Tumor Location
Labadie, Julia , Harrison, Tabitha A. , Banbury, Barbara L. , Amtay, Efrat L, Bernd, Sonja, Brenner, Hermann , Campbell, Peter T. , Cao, Yin , Chang‐Claude, Jenny , Figueiredo, Jane C. , Gallinger, Steven , Gunter, Marc J. , Hoffmeister, Michael , Moreno, Vı́ctor , Murphy, Neil , Phipps, Amanda I. , Slattery, Martha L. , Thibodeau, Stephen N. , Guelpen, Bethany Van , Zaidi, Syed Hassan Ejaz , Peters, Ulrike , Labadie, Julia D , Banbury, Barbara , Campbell, Peter T , Cao, Yin , Chang-Claude, Jenny , English, Dallas R , Gunter, Marc J , Hoffmeister, Michael , Jenkins, Mark A , Milne, Roger L , Moreno, Victor , Ogino, Shuji , Sakoda, Lori C , Sun, Wei , Harrison, Tabitha A , Van Guelpen, Bethany , Brenner, Hermann , Murphy, Neil , Buchanan, Daniel D. , Chan, Andrew T. , English, Dallas R. , Giles, Graham G. , Hsu, Li , Jenkins, Mark A. , Lin, Yi , Milne, Roger L. , Sakoda, Lori C. , Southey, Melissa C. , Sun, Wei , Newcomb, Polly A.

JNCI Cancer Spectrum | May 13, 2020 | Volume: 4 | Issue: 5 | Pages: No page available

10.1093/jncics/pkaa042 Get It

AbstractBackgroundPostmenopausal hormone therapy (HT) is associated with a decreased colorectal cancer (CRC) risk. As CRC is a heterogeneous disease, we evaluated whether the association of HT and CRC differs across etiologically relevant, molecularly defined tumor subtypes and tumor location.MethodsWe pooled data on tumor subtypes (microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, pathway: adenoma-carcinoma, alternate, serrated), tumor location (proximal colon, distal colon, rectum), and HT use among 8220 postmenopausal women (3898 CRC cases and 4322 controls) from 8 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CIs) for the association of ever vs never HT use with each tumor subtype compared with controls. Models were adjusted for study, age, body mass index, smoking status, and CRC family history. All statistical tests were 2-sided.ResultsAmong postmenopausal women, ever HT use was associated with a 38% reduction in overall CRC risk (OR =0.62, 95% CI = 0.56 to 0.69). This association was similar according to microsatellite instability, CpG island methylator phenotype and BRAF or KRAS status. However, the association was attenuated for tumors arising through the serrated pathway (OR = 0.81, 95% CI = 0.66 to 1.01) compared with the adenoma-carcinoma pathway (OR = 0.63, 95% CI = 0.55 to 0.73; Phet =.04) and alternate pathway (OR = 0.61, 95% CI = 0.51 to 0.72). Additionally, proximal colon tumors had a weaker association (OR = 0.71, 95% CI = 0.62 to 0.80) compared with rectal (OR = 0.54, 95% CI = 0.46 to 0.63) and distal colon (OR = 0.57, 95% CI = 0.49 to 0.66; Phet =.01) tumors.ConclusionsWe observed a strong inverse association between HT use and overall CRC risk, which may predominantly reflect a benefit of HT use for tumors arising through the adenoma-carcinoma and alternate pathways as well as distal colon and rectal tumors.
Potential impact of family history–based screening guidelines on the detection of early‐onset colorectal cancer
Gupta, Samir , Bharti, Balambal, Ahnen, Dennis J. , Cotterchio, Michelle , Figueiredo, Jane C. , Gallinger, Steven , Haile, Robert W. , Lindor, Noralane M. , Thibodeau, Stephen N. , Win, Aung Ko , Figueiredo, Jane C , Martı́nez, Marı́a Elena , Win, Aung K , Haile, Robert W , Gupta, Samir , Buchanan, Daniel D. , Cheng, Iona C. , Jenkins, Mark A. , Macrae, Finlay , Marchand, Loı̈c Le , Newcomb, Polly A.

Cancer | April 20, 2020 | Volume: 126 | Issue: 13 | Pages: 3013-3020

10.1002/cncr.32851 Get It

Background Initiating screening at an earlier age based on cancer family history is one of the primary recommended strategies for the prevention and detection of early‐onset colorectal cancer (EOCRC), but data supporting the effectiveness of this approach are limited. The authors assessed the performance of family history–based guidelines for identifying individuals with EOCRC. Methods The authors conducted a population‐based, case‐control study of individuals aged 40 to 49 years with (2473 individuals) and without (772 individuals) incident CRC in the Colon Cancer Family Registry from 1998 through 2007. They estimated the sensitivity and specificity of family history–based criteria jointly recommended by the American Cancer Society, the US Multi‐Society Task Force on CRC, and the American College of Radiology in 2008 for early screening, and the age at which each participant could have been recommended screening initiation if these criteria had been applied. Results Family history–based early screening criteria were met by approximately 25% of cases (614 of 2473 cases) and 10% of controls (74 of 772 controls), with a sensitivity of 25% and a specificity of 90% for identifying EOCRC cases aged 40 to 49 years. Among 614 individuals meeting early screening criteria, 98.4% could have been recommended screening initiation at an age younger than the observed age of diagnosis. Conclusions Of CRC cases aged 40 to 49 years, 1 in 4 met family history–based early screening criteria, and nearly all cases who met these criteria could have had CRC diagnosed earlier (or possibly even prevented) if earlier screening had been implemented as per family history–based guidelines. Additional strategies are needed to improve the detection and prevention of EOCRC for individuals not meeting family history criteria for early screening.
Prognostic impact of BRAF and KRAS mutations and their relationship to DNA mismatch repair (MMR) status in 2,686 stage III colon cancer patients (pts) treated in a phase III study of adjuvant FOLFOX with or without cetuximab:  NCCTG N0147.
Mahoney, Michelle R., Smyrk, Thomas C. , Thibodeau, Stephen N. , Goldberg, Richard M. , Nelson, Garth D. , Group, North Central Cancer Treatment, Sinicrope, Frank A. , Sargent, Daniel J. , Alberts, Steven R. , Group, North Central Cancer Treatment

Journal of Clinical Oncology | March 11, 2020 | Volume: 30 | Issue: 15_suppl | Pages: 3514-3514

10.1200/jco.2012.30.15_suppl.3514 Get It

3514 Background: Activating mutations in the BRAF oncogene (mutBRAF) are associated with deficient MMR (dMMR) in sporadic colon cancers and are mutually exclusive with KRAS mutations (mutKRAS). We evaluated BRAF and KRAS in relation to MMR and disease-free survival (DFS) in stage III pts treated with adjuvant FOLFOX +/-cetuximab; study was amended mid-way to require prospective KRAS testing (Alberts SR, ASCO 2010). Methods: Extracted DNA from archival tumors was analyzed for BRAF exon 15 (V600E) and KRAS exon 2 mutations by allele specific RT-PCR. Tumors with loss of any MMR protein (MLH1, MSH2, MSH6) were categorized as dMMR vs proficient (pMMR). DFS was censored at 4 yrs; median follow-up was 3.1 yrs. Results: Among 2,686 pts, 12% (314/2580) of tumors were dMMR; 28% (716/2579) had mutKRAS, and 14% (346/2515) had mutBRAF of which 43% (150/346) were dMMR. mutBRAF was associated with high grade, proximal site, T3-4, >4 LNs, and dMMR (all p<0.002); mutKRAS with low grade, proximal, <3 LNs, and pMMR (all p<0.02). Among dMMR tumors, mutKRAS was more frequent in distal vs proximal cancers (28% vs. 8%, p=0.0004). Both mutKRAS (HR=1.42, p=0.0001) and mutBRAF (HR=1.34, p=0.02) were associated with worse DFS and remained significant after adjustment for treatment, MMR, grade, site, T stage and LNs. mutBRAF (p=0.003) and mutKRAS (p=0.003) were each prognostic for DFS in pMMR, but not dMMR tumors (KRAS, p=0.79; BRAF, p=0.60). While MMR was not significant univariately, proximal dMMR tumors had favorable DFS [HR 0.8, 95% CI (0.6-1)] and distal dMMR tumors had poor DFS [HR 2 (1.1-3.4)] after adjusting for KRAS, BRAF, grade, T stage and LNs (pinteraction=0.02). pMMR/mutBRAF (p=0.027) and pMMR/mutKRAS (p<0.001) had worse DFS vs pMMR/bothWT. Conclusions: mutBRAF and mutKRAS were significantly associated with worse DFS independent of treatment, covariates, and each other, with the DFS impact restricted to pMMR tumors. Prognostic impact of MMR was dependent upon tumor site after adjusting for covariates. Support: NIH Grant CA 25224, NCI K05CA 142885, Bristol-Myers Squibb, ImClone, Sanofi-Aventis, and Pfizer.
Detection of the BRAFV600E protein in human colon carcinomas by a mutation-specific antibody.
Smyrk, Thomas C. , Thibodeau, Stephen N. , Singh, Shalini , Murányi, Andrea , Shanmugam, Kandavel , Grogan, Thomas M. , Group, North Central Cancer Treatment, Tougeron, David , Alberts, Steven R. , Shi, Qian , Sinicrope, Frank A. , Group, North Central Cancer Treatment

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: 3576-3576

10.1200/jco.2013.31.15_suppl.3576 Get It

3576 Background: BRAF encodes a serine-threonine kinase that is a downstream effector of activated RAS. A point mutation (V600E) in BRAF occurs in a subset of colorectal cancers (CRCs) and is associated with adverse outcome and may predict non response to anti-EGFR antibodies. Detection of a BRAFV600E mutation in a CRC with microsatellite instability indicates a sporadic origin and excludes Lynch Syndrome. While BRAFV600E mutation status is determined using a DNA-based assay, antibodies against the BRAFV600E protein have recently been developed. We examined mutant BRAFV600E protein expression and its concordance with mutation status. Methods: Primary stage III colon carcinomas (50 BRAFV600E mutation carriers and 25 wild-type cases) were studied from a completed phase III adjuvant trial comparing FOLFOX +/- cetuximab (NCCTG N0147). In archival resection specimens, immunohistochemistry (IHC) was performed using a pan-BRAF antibody and a V600E mutation-specific antibody raised against an immunogenic synthetic peptide derived from the internal region of the BRAFV600E protein. BRAFV600E mutations in codon 15 were analyzed in extracted DNA using a multiplex, allele specific PCR–based assay. BRAF staining was scored independently by two pathologists blinded to mutation status. Results: In primary colon carcinomas stained with a pan-BRAF antibody, diffuse cytoplasmic staining for BRAF proteins was detected in 74 of 75 carcinomas with one case deemed non-evaluable. Using the mutation-specific BRAFV600E antibody, diffuse cytoplasmic staining was detected in 49 of 74 tumors without appreciable heterogeneity of expression. Among these 49 tumors expressing mutant BRAFV600E proteins, all (100%) were found to carry a BRAFV600E mutation according to a DNA-based assay. In contrast, absent BRAFV600E staining was observed in all 25 tumors that were found to have wild-type copies of BRAFV600E detected using a PCR-based assay. Conclusions: For the detection of mutant BRAFV600E, complete concordance was found between IHC and a DNA-based method in colon carcinomas. This finding supports the use of IHC as a simplified strategy to screen CRCs for mutant BRAFV600E proteins in routine clinical practice to inform clinical decision-making.