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Thibodeau, Stephen N.

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

Mayo Clinic

Mayo Clinic

Citations 169

Mutational landscape of candidate genes in familial prostate cancer
Johnson, Anna , Zuhlke, Kimberly A. , Plotts, Chris, McDonnell, Shannon K. , Middha, Sumit , Riska, Shaun M., Schaid, Daniel J. , Thibodeau, Stephen N. , Douglas, Julie A. , Cooney, Kathleen A. , McDonnell, Shannon K

The Prostate | August 11, 2014 | Volume: 74 | Issue: 14 | Pages: 1371-1378

10.1002/pros.22849 Get It

KRAS Codon 12 and 13 Mutations in Relation to Disease-Free Survival in BRAF –Wild-Type Stage III Colon Cancers from an Adjuvant Chemotherapy Trial (N0147 Alliance)
Yoon, Harry H. , Tougeron, David , Shi, Qian , Mahoney, Michelle R., Nelson, Garth D. , Nair, Suresh , Thibodeau, Stephen N. , Goldberg, Richard M. , Sargent, Daniel J. , Nair, Suresh G, Alberts, Steven R. , Sinicrope, Frank A. , Sargent, Daniel J , Shi, Qian , Tougeron, David

Clinical Cancer Research | April 1, 2014 | Volume: 20 | Issue: 11 | Pages: 3033-3043

10.1158/1078-0432.ccr-13-3140 Get It

Abstract Purpose: We examined the prognostic impact of specific KRAS mutations in patients with stage III colon adenocarcinoma receiving adjuvant FOLFOX alone or combined with cetuximab in a phase III trial (N0147). Analysis was restricted to BRAF–wild-type tumors, because BRAF mutation was associated with poor prognosis, and BRAF and KRAS mutations are mutually exclusive. Experimental Design: The seven most common KRAS mutations in codon 12 and codon 13 were examined in 2,478 BRAF–wild-type tumors. Because KRAS mutations in codon 12 (n = 779) or 13 (n = 220) were not predictive of adjuvant cetuximab benefit, study arms were pooled for analysis. Disease-free survival (DFS) was evaluated by HRs using Cox models. Results: KRAS mutations in codon 12 (multivariate HR, 1.52; 95% confidence interval, CI, 1.28–1.80; P < 0.0001) or codon 13 (multivariate HR, 1.36; 95% CI, 1.04–1.77; P = 0.0248) were significantly associated with shorter DFS compared with patients with wild-type KRAS/BRAF tumors, independent of covariates. KRAS codon 12 mutations were independently associated with proficient mismatch repair (P < 0.0001), proximal tumor site (P < 0.0001), low grade, age, and sex, whereas codon 13 mutations were associated with proximal site (P < 0.0001). Conclusion: KRAS mutations in either codon 12 or 13 are associated with inferior survival in patients with resected stage III colon cancer. These data highlight the importance of accurate molecular characterization and the significant role of KRAS mutations in both codons in the progression of this malignancy in the adjuvant setting. Clin Cancer Res; 20(11); 3033–43. ©2014 AACR.
Role of tumour molecular and pathology features to estimate colorectal cancer risk for first-degree relatives
Win, Aung Ko , Buchanan, Daniel D. , Rosty, Christophe , MacInnis, Robert J. , Dowty, James G. , Dite, Gillian S. , Giles, Graham G. , Southey, Melissa C. , Young, Joanne , Walsh, Michael D. , Walters, Rhiannon, Boussioutas, Alex , Smyrk, Thomas C. , Thibodeau, Stephen N. , Potter, John D. , Marchand, Loı̈c Le, Haile, Robert W. , Gallinger, Steven, Lindor, Noralane M. , Ahnen, Dennis J. , Jenkins, Mark A. , Clendenning, Mark , Baron, John A. , Newcomb, Polly A. , Hopper, John L. , Buchanan, Daniel D , Win, Aung K , Giles, Graham G , Southey, Melissa C , Jenkins, Mark A , Haile, Robert W , Maclnnis, Robert , Potter, John D , Rosty, Christophe

Gut | March 11, 2014 | Volume: 64 | Issue: 1 | Pages: 101-110

10.1136/gutjnl-2013-306567 Get It

Objective To estimate risk of colorectal cancer (CRC) for first-degree relatives of CRC cases based on CRC molecular subtypes and tumour pathology features. Design We studied a cohort of 33 496 first-degree relatives of 4853 incident invasive CRC cases (probands) who were recruited to the Colon Cancer Family Registry through population cancer registries in the USA, Canada and Australia. We categorised the first-degree relatives into four groups: 28 156 of 4095 mismatch repair (MMR)-proficient probands, 2302 of 301 MMR-deficient non-Lynch syndrome probands, 1799 of 271 suspected Lynch syndrome probands and 1239 of 186 Lynch syndrome probands. We compared CRC risk for first-degree relatives stratified by the absence or presence of specific tumour molecular pathology features in probands across each of these four groups and for all groups combined. Results Compared with first-degree relatives of MMR-proficient CRC cases, a higher risk of CRC was estimated for first-degree relatives of CRC cases with suspected Lynch syndrome (HR 2.06, 95% CI 1.59 to 2.67) and with Lynch syndrome (HR 5.37, 95% CI 4.16 to 6.94), but not with MMR-deficient non-Lynch syndrome (HR 1.04, 95% CI 0.82 to 1.31). A greater risk of CRC was estimated for first-degree relatives if CRC cases were diagnosed before age 50 years, had proximal colon cancer or if their tumours had any of the following: expanding tumour margin, peritumoral lymphocytes, tumour-infiltrating lymphocytes or synchronous CRC. Conclusions Molecular pathology features are potentially useful to refine screening recommendations for first-degree relatives of CRC cases and to identify which cases are more likely to be caused by genetic or other familial factors.
Associations between Cigarette Smoking, Hormone Therapy, and Folate Intake with Incident Colorectal Cancer by TP53 Protein Expression Level in a Population-Based Cohort of Older Women
Tillmans, Lori S. , Vierkant, Robert A. , Wang, Alice H., Samadder, N. Jewel , Lynch, Charles F. , Anderson, Kristin E. , French, Amy J. , Haile, Robert W. , Harnack, Lisa , Potter, John D. , Smyrk, Thomas C. , Thibodeau, Stephen N. , Cerhan, James R. , Slager, Susan L. , Limburg, Paul J. , Cerhan, James R , Vierkant, Robert A , Haile, Robert W , Potter, John D

Cancer Epidemiology, Biomarkers & Prevention | December 17, 2013 | Volume: 23 | Issue: 2 | Pages: 350-355

10.1158/1055-9965.epi-13-0780 Get It

Abstract Cigarette smoking (CS), hormone therapy (HT), and folate intake (FI) are each thought to influence colorectal cancer risk, but the underlying molecular mechanisms remain incompletely defined. The TP53 (p53) protein, encoded by the TP53 tumor-suppressor gene that is commonly mutated in colorectal cancer, can be readily assessed to differentiate biologically distinct colorectal cancer subtypes. In this prospective cohort study, we examined CS-, HT-, and FI-associated colorectal cancer risks by TP53 protein expression level among Iowa Women's Health Study (IWHS) participants. The IWHS recruited 41,836 randomly selected Iowa women, ages 55 to 69 years, with a valid driver's license at study entry in 1986. Self-reported exposure variables were assessed at baseline. Incident colorectal cancer cases were ascertained by annual linkage with the Iowa Cancer Registry. Archived, paraffin-embedded tissue specimens were collected and evaluated for TP53 protein expression by immunohistochemistry. Multivariate Cox regression models were fit to estimate relative risks (RR) and 95% confidence intervals (CI) for associations between CS, HT, or FI and TP53-defined colorectal cancer subtypes. Informative environmental exposure and protein expression data were available for 492 incident colorectal cancer cases: 222 (45.1%) TP53 negative, 72 (14.6%) TP53 low, and 198 (40.2%) TP53 high. Longer duration (>5 years) of HT was inversely associated with TP53 high colorectal cancers (RR, 0.50; 95% CI, 0.27–0.94). No other statistically significant associations were observed. These data support possible heterogeneous effects from HT on TP53-related pathways of colorectal carcinogenesis in older women. Cancer Epidemiol Biomarkers Prev; 23(2); 350–5. ©2013 AACR.
Prognostic Impact of Deficient DNA Mismatch Repair in Patients With Stage III Colon Cancer From a Randomized Trial of FOLFOX-Based Adjuvant Chemotherapy
Mahoney, Michelle R., Smyrk, Thomas C. , Thibodeau, Stephen N. , Warren, Robert S. , Nelson, Garth D. , Goldberg, Richard M. , Sinicrope, Frank A. , Bertagnolli, Monica M. , Sargent, Daniel J. , Alberts, Steven R.

Journal of Clinical Oncology | September 10, 2013 | Volume: 31 | Issue: 29 | Pages: 3664-3672

10.1200/jco.2013.48.9591 Get It

PurposeThe association of deficient DNA mismatch repair (dMMR) with prognosis in patients with colon cancer treated with adjuvant fluorouracil, leucovorin, and oxaliplatin (FOLFOX) chemotherapy remains unknown.Patients and MethodsResected, stage III colon carcinomas from patients (N = 2,686) randomly assigned to FOLFOX ± cetuximab (North Central Cancer Treatment Group N0147 trial) were analyzed for mismatch repair (MMR) protein expression and mutations in BRAFV600E(exon 15) and KRAS (codons 12 and 13). Association of biomarkers with disease-free survival (DFS) was determined using Cox models. A validation cohort (Cancer and Leukemia Group B 88903 trial) was used.ResultsdMMR was detected in 314 (12%) of 2,580 tumors, of which 49.3% and 10.6% had BRAFV600Eor KRAS mutations, respectively. MMR status was not prognostic overall (adjusted hazard ratio [HR], 0.82; 95% CI, 0.64 to 1.07; P = .14), yet significant interactions were found between MMR and primary tumor site (Pinteraction= .009) and lymph node category (N1 v N2; Pinteraction= .014). Favorable DFS was observed for dMMR versus proficient MMR proximal tumors (HR, 0.71; 95% CI, 0.53 to 0.94; P = .018) but not dMMR distal tumors (HR, 1.71; 95% CI, 0.99 to 2.95; P = .056), adjusting for mutations and covariates. Any survival benefit of dMMR was lost in N2 tumors. Mutations in BRAFV600E(HR, 1.37; 95% CI, 1.08 to 1.70; P = .009) or KRAS (HR, 1.44; 95% CI, 1.21 to 1.70; P < .001) were independently associated with worse DFS. The observed MMR by tumor site interaction was validated in an independent cohort of stage III colon cancers (Pinteraction= .037).ConclusionThe prognostic impact of MMR depended on tumor site, and this interaction was validated in an independent cohort. Among dMMR cancers, proximal tumors had favorable outcome, whereas distal or N2 tumors had poor outcome. BRAF or KRAS mutations were independently associated with adverse outcome.
Telomere Length Varies By DNA Extraction Method: Implications for Epidemiologic Research
Cunningham, Julie M. , Johnson, Ruth, Vanderboom, Russell J., Kimmel, Grace W., Gangnon, Ronald E. , Riegert‐Johnson, Douglas L. , Potter, John D. , Buchanan, Daniel D. , Jenkins, Mark A. , Rider, David N., Thibodeau, Stephen N. , Petersen, Gloria M. , Boardman, Lisa A., Litzelman, Kristin , Skinner, Halcyon G. , Seo, Songwon , Engelman, Corinne D. , Baron, John A. , Haile, Robert W. , Boardman, Lisa A., Buchanan, Daniel D , Jenkins, Mark A , Potter, John D

Cancer Epidemiology, Biomarkers & Prevention | September 9, 2013 | Volume: 22 | Issue: 11 | Pages: 2047-2054

10.1158/1055-9965.epi-13-0409 Get It

Abstract Background: Both shorter and longer telomeres in peripheral blood leukocyte (PBL) DNA have been associated with cancer risk. However, associations remain inconsistent across studies of the same cancer type. This study compares DNA preparation methods to determine telomere length from patients with colorectal cancer. Methods: We examined PBL relative telomere length (RTL) measured by quantitative PCR (qPCR) in 1,033 patients with colorectal cancer and 2,952 healthy controls. DNA was extracted with phenol/chloroform, PureGene, or QIAamp. Results: We observed differences in RTL depending on DNA extraction method (P &lt; 0.001). Phenol/chloroform-extracted DNA had a mean RTL (T/S ratio) of 0.78 (range 0.01–6.54) compared with PureGene-extracted DNA (mean RTL of 0.75; range 0.00–12.33). DNA extracted by QIAamp yielded a mean RTL of 0.38 (range 0.02–3.69). We subsequently compared RTL measured by qPCR from an independent set of 20 colorectal cancer cases and 24 normal controls in PBL DNA extracted by each of the three extraction methods. The range of RTL measured by qPCR from QIAamp-extracted DNA (0.17–0.58) was less than from either PureGene or phenol/chloroform (ranges, 0.04–2.67 and 0.32–2.81, respectively). Conclusions: RTL measured by qPCR from QIAamp-extracted DNA was less than from either PureGene or phenol/chloroform (P &lt; 0.001). Impact: Differences in DNA extraction method may contribute to the discrepancies between studies seeking to find an association between the risk of cancer or other diseases and RTL. Cancer Epidemiol Biomarkers Prev; 22(11); 2047–54. ©2013 AACR.
Mutation‐specific antibody detects mutant BRAFV600E protein expression in human colon carcinomas
Smyrk, Thomas C. , Tougeron, David , Thibodeau, Stephen N. , Singh, Shalini , Murányi, Andrea , Shanmugam, Kandavel , Grogan, Thomas M. , Shi, Qian , Sinicrope, Frank A. , Alberts, Steven R. , Shi, Qian , Tougeron, David

Cancer | May 8, 2013 | Volume: 119 | Issue: 15 | Pages: 2765-2770

10.1002/cncr.28133 Get It

BACKGROUNDA point mutation (V600E) in the BRAF oncogene is a prognostic biomarker and may predict for nonresponse to anti‐EGFR antibody therapy in patients with colorectal carcinoma. BRAFV600E mutations are frequently detected in tumors with microsatellite instability and indicate a sporadic origin. We used a mutation‐specific antibody to examine mutant BRAFV600E protein expression and its concordance with BRAFV600E mutation data.METHODSPrimary stage III colon carcinomas were analyzed for BRAFV600E mutations in exon 15, and 50 BRAFV600E mutation carriers and 25 wild‐type tumors were selected for analysis of BRAF proteins by immunohistochemistry (IHC). IHC was performed in archival tissue specimens using a pan‐BRAF antibody and a mutation‐specific antibody against BRAFV600E proteins. Staining was scored by 2 pathologists who were blinded to clinical and mutation data.RESULTSUsing a pan‐BRAF antibody, total BRAF protein expression was observed in the tumor cell cytoplasm in 74 of 75 colon carcinomas. A mutation‐specific antibody identified diffuse cytoplasmic staining of mutant BRAFV600E proteins in 49 of 74 cancers. Analysis using a polymerase chain reaction‐based assay revealed that all 49 of these cancers carried BRAFV600E mutations. In contrast, BRAFV600E staining was absent in all 25 tumors that carried wild‐type copies of BRAF.CONCLUSIONSA BRAF mutation‐specific (V600E) antibody detected tumors with BRAFV600E mutations and exhibited complete concordance with a DNA‐based method. These results support the use of IHC as a simplified strategy to screen colorectal cancers for BRAFV600E mutations in clinical practice. Cancer 2013;119:2765–2770. © 2013 American Cancer Society.
Multiple Genetic Variant Association Testing by Collapsing and Kernel Methods With Pedigree or Population Structured Data
Schaid, Daniel J. , McDonnell, Shannon K. , Sinnwell, Jason P. , Thibodeau, Stephen N. , Sinnwell, Jason P , McDonnell, Shannon K

Genetic Epidemiology | May 5, 2013 | Volume: 37 | Issue: 5 | Pages: 409-418

10.1002/gepi.21727 Get It

ABSTRACTSearching for rare genetic variants associated with complex diseases can be facilitated by enriching for diseased carriers of rare variants by sampling cases from pedigrees enriched for disease, possibly with related or unrelated controls. This strategy, however, complicates analyses because of shared genetic ancestry, as well as linkage disequilibrium among genetic markers. To overcome these problems, we developed broad classes of “burden” statistics and kernel statistics, extending commonly used methods for unrelated case‐control data to allow for known pedigree relationships, for autosomes and the X chromosome. Furthermore, by replacing pedigree‐based genetic correlation matrices with estimates of genetic relationships based on large‐scale genomic data, our methods can be used to account for population‐structured data. By simulations, we show that the type I error rates of our developed methods are near the asymptotic nominal levels, allowing rapid computation of P‐values. Our simulations also show that a linear weighted kernel statistic is generally more powerful than a weighted “burden” statistic. Because the proposed statistics are rapid to compute, they can be readily used for large‐scale screening of the association of genomic sequence data with disease status.
Identification of Novel Variants in Colorectal Cancer Families by High-Throughput Exome Sequencing
DeRycke, Melissa S. , Gunawardena, Shanaka R., Middha, Sumit , Asmann, Yan W. , Schaid, Daniel J. , McDonnell, Shannon K. , Riska, Shaun M., Eckloff, Bruce W., Cunningham, Julie M. , Serie, Daniel, Bamlet, William R. , Cicek, Mine S., Jenkins, Mark A. , Duggan, David , Buchanan, Daniel D. , Haile, Robert W. , Woods, Michael O. , Gallinger, Steven , Casey, Graham , Potter, John D. , Lindor, Noralane M. , Thibodeau, Stephen N. , Goode, Ellen L. , Fridley, Brooke L. , Clendenning, Mark , Newcomb, Polly A. , Marchand, Loı̈c Le , Buchanan, Daniel D , Jenkins, Mark A , Bamlet, William R , Haile, Robert W , Potter, John D , McDonnell, Shannon K

Cancer Epidemiology, Biomarkers & Prevention | May 2, 2013 | Volume: 22 | Issue: 7 | Pages: 1239-1251

10.1158/1055-9965.epi-12-1226 Get It

Abstract Background: Colorectal cancer (CRC) in densely affected families without Lynch Syndrome may be due to mutations in undiscovered genetic loci. Familial linkage analyses have yielded disparate results; the use of exome sequencing in coding regions may identify novel segregating variants. Methods: We completed exome sequencing on 40 affected cases from 16 multicase pedigrees to identify novel loci. Variants shared among all sequenced cases within each family were identified and filtered to exclude common variants and single-nucleotide variants (SNV) predicted to be benign. Results: We identified 32 nonsense or splice-site SNVs, 375 missense SNVs, 1,394 synonymous or noncoding SNVs, and 50 indels in the 16 families. Of particular interest are two validated and replicated missense variants in CENPE and KIF23, which are both located within previously reported CRC linkage regions, on chromosomes 1 and 15, respectively. Conclusions: Whole-exome sequencing identified DNA variants in multiple genes. Additional sequencing of these genes in additional samples will further elucidate the role of variants in these regions in CRC susceptibility. Impact: Exome sequencing of familial CRC cases can identify novel rare variants that may influence disease risk. Cancer Epidemiol Biomarkers Prev; 22(7); 1239–51. ©2013 AACR.