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Marchand, Loı̈c Le

https://orcid.org/0000-0001-5013-980X

Mayo Clinic

University of Hawaii Cancer Center

Citations 148

Abstract 43: The Colon Cancer Family Registry: A major resource for post-GWAS gene-environment studies.
Lindor, Noralane M. , Gallinger, Steven, John, Hopper L., Casey, Graham , Win, Aung Ko , Buchanan, Daniel D. , Haile, Robert W. , Newcomb, Polly A. , Marchand, Loı̈c Le , Jenkins, Mark A.

Cancer Epidemiology, Biomarkers & Prevention | August 5, 2013 | Volume: 21 | Issue: 11_Supplement | Pages: 43-43

10.1158/1055-9965.gwas-43 Get It

Abstract Background: The Colorectal Cancer Family Registry (Colon CFR) has served as an international resource for studies of the genetics and epidemiology of colorectal cancer (CRC) since 1997. It is the largest family-based resource in the world for the study of CRC and other cancers, such as endometrial cancer, that occur in CRC families. The Colon CFR has recruited participants via six institutions: Cancer Care Ontario, Fred Hutchinson Cancer Research Center, Mayo Clinic, University of Hawaii, University of Southern California Consortium, and University of Melbourne. Methods: CRC cases were recruited from both population-based cancer registries and family cancer clinics. Controls were recruited from population-based sources. Relatives were recruited via cases and controls. Participants were asked to: donate a blood sample; give permission to access any tumor tissue; complete a detailed personal and family history of cancer including degree of relationship, site of cancer and age of diagnosis; and complete a detailed baseline lifestyle questionnaire that was administered across all recruitment sites, which included items on established and suspected risk factors for colorectal cancer: personal characteristics including age, sex, height and weight, country of birth, ethnicity, race and religion; history of exercise, alcohol consumption and smoking; medication use including NSAIDs, cholesterol-lowering agents, diabetes medication and post- menopausal hormone use; history of colorectal cancer screening including fecal occult blood test, sigmoidoscopy, colonoscopy; personal history of surgery including polypectomy, other bowel surgery and hysterectomy; frequency of meat consumption and method of cooking; reproductive history (for women). Participants were also asked for detail information on the frequency of food consumption and portion size using a food frequency questionnaire. Follow-up of participants has been conducted every five years, by questionnaire, to update vital status, surgery, cancer screening, polypectomy, and personal and family history of cancer history. Participants have been characterized for major known predisposing CRC gene mutations and have undergone a genome-wide SNP testing and tested for known CRC SNPs. Results: The Colon CFR has enrolled 35,297 participants (11,635 affected with CRC, 3,629 affected with other cancers, and 20,033 unaffected) who have completed baseline questionnaires. We have 5-year follow-up data on 24,692 participants (6,329 affected with CRC, 2,261 affected with other cancers, and 16,102 unaffected) and 10-year follow-up data on 10,467 (3,654 affected with CRC, 1,182 affected with other cancers, and 5,631 unaffected). We have GWAS data on 3,830 participants, candidate SNP data on 18,000 participants, and mismatch repair gene mutation data on 2,697 participants (and observed 1,697 carriers with a deleterious mutation). Conclusion: This largest and best characterized CRC cohort in the world will facilitate post-GWAS research to provide insight into the role of environmental factors, and how they interact with genetic factors on CRC risk. Researchers are encouraged by the National Cancer Institute (USA) and the Colon CFR investigators to apply for access to this unique resource of data and biospecimens for collaborative research. Citation Format: Aung Ko Win, Daniel D. Buchanan, Noralane M. Lindor, Robert W. Haile, Polly A. Newcomb, Loic Le Marchand, Steven Gallinger, Hopper L. John, Casey Graham, Mark A. Jenkins. The Colon Cancer Family Registry: A major resource for post-GWAS gene-environment studies. [abstract]. In: Proceedings of the AACR Special Conference on Post-GWAS Horizons in Molecular Epidemiology: Digging Deeper into the Environment; 2012 Nov 11-14; Hollywood, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2012;21(11 Suppl):Abstract nr 43.
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.
A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11
Siddiq, Afshan , Chen, Gary K., Lindström, Sara, Eccles, Diana , Millikan, Robert C., Michailidou, Kyriaki , Beckmann, Lars , Aittomäki, Kristiina , Apicella, Carmel, Investigators, Australian Breast Cancer Tissue Bank, Baglietto, Laura , Bandera, Elisa V. , Beckmann, Matthias W. , Berg, Christine D. , Blomqvist, Carl , Brauch, Hiltrud , Brinton, Louise A. , Bui, Minh , Buring, Julie E. , Campa, Daniele , Carpenter, Jane, Chang‐Claude, Jenny, Chen, Constance, Clavel-Chapelon, Françoise, Cox, Angela , Cross, Simon S. , Czene, Kamila , Deming, Sandra L., Diasio, Robert B. , Diver, W. Ryan , Dunning, Alison M. , Durcan, Lorraine , Ekici, Arif B. , Fasching, Peter A. , Study, Familial Breast Cancer, Fejerman, Laura , Figueroa, Jonine D. , Flesch‐Janys, Dieter, Gaudet, Mia M., Gerty, Susan M. , Rodriguez‐Gil, Jorge L. , Giles, Graham G. , Gils, Carla H. van , Graham, Nikki , Greco, Dario , Hankinson, Susan E. , Hartmann, Arndt, Hein, Rebecca, Heinz, Judith , Hoover, Robert N. , Hu, Jennifer J. , Huntsman, Scott , Irwanto, Astrid , Jacobs, Kevin B. , John, Esther M. , Justenhoven, Christina , Kolonel, Laurence N. , Coetzee, Gerhard A. , Lathrop, Mark, Lee, I‐Min , Lesnick, Timothy G. , Lichtner, Peter , Liu, Jianjun , Lund, Eiliv , Makalic, Enes , Martin, Nicholas G. , McLean, Catriona , Meijers‐Heijboer, Hanne , Meindl, Alfons , Miron, Penelope , Montgomery, Grant W. , Müller‐Myhsok, Bertram , Nickels, Stefan , Nyante, Sarah J. , Olswold, Curtis, Overvad, Kim , Palli, Domenico , Park, Daniel J. , Palmer, Julie R. , Peto, Julian , Rahman, Nazneen , Rivadeneira, Fernando , Schmutzler, Rita K. , Slager, Susan, Southey, Melissa C. , Stevens, Kristen N., Sinn, Hans‐Peter , Ross, Eric A. , Ríboli, Elio , Schumacher, Fredrick R. , Severi, Gianluca , Stone, Jennifer , Sund, Malin , Tapper, William , Thun, Michael J., Travis, Ruth C. , Turnbull, Clare , Uitterlinden, André G. , Waisfisz, Quinten , Wang, Zhaoming , Weaver, JoEllen , Schulz-Wendtland, Rüdiger, Nevanlinna, Heli , Easton, Douglas F., Hunter, David J. , Henderson, Brian E., García‐Closas, Montserrat , Kraft, Peter , Haiman, Christopher A. , Vachon, Celine M. , Zheng, Wei , Purrington, Kristen S. , Couch, Fergus J. , Stram, Daniel O. , Rhie, Suhn K. , Ambrosone, Christine B. , Amiano, Pilar , Investigators, Australian Breast Cancer Tissue Bank, Bernstein, Leslie , Bui, Minh , Buys, Saundra S. , Chasman, Daniel I. , Study, Familial Breast Cancer, Feigelson, Heather Spencer , Fletcher, Olivia , Godwin, Andrew K. , Hall, Per N , Hankinson, Susan E. , Hopper, John L. , Ingles, Sue A. , Isaacs, Claudine , Kaaks, Rudolf , Marchand, Loı̈c Le , Lee, Adam M. , Meindl, Alfons , Monroe, Kristine R. , Pathak, Harsh B. , Pharoah, Paul D.P. , Schmidt, Daniel F. , Press, Michael F. , Ridker, Paul M. , dos‐Santos‐Silva, Isabel , Wang, Xianshu , Wilkens, Lynne R. , Berg, David Van Den , Zheng, Wei , Ziegler, Regina G. , Ziv, Elad , Chanock, Stephen Jacob , Vachon, Celine M. , Nevanlinna, H , Giles, Graham G , Eccles, Diana , John, Esther M , Palli, Domenico , Southey, Melissa C , Martin, Nicholas G , Sinn, Peter , Travis, Ruth C , Wang, Zhaoming , Dunning, Alison M , Cox, Angela , García-Closas, Montserrat , Severi, Gianluca , Makalic, Enes , Ekici, Arif B , Michailidou, Kyriaki , Palmer, Julie R , Kraft, Peter , Zheng, Wei , Figueroa, Jonine D , Nyante, Sarah , Czene, Kamila , Stone, Jennifer , Riboli, Elio , Sund, Malin , Baglietto, Laura , Purrington, Kristen S , Mclean, Catriona , Brauch, Hiltrud , Liu, Jing , Bandera, Elisa V.

Human Molecular Genetics | September 14, 2012 | Volume: 21 | Issue: 24 | Pages: 5373-5384

10.1093/hmg/dds381 Get It

A Multifactorial Likelihood Model for MMR Gene Variant Classification Incorporating Probabilities Based on Sequence Bioinformatics and Tumor Characteristics: A Report from the Colon Cancer Family Registry
Thompson, Bryony A. , Goldgar, David E. , Paterson, Carol, Walters, Rhiannon, Arnold, Sven, Parsons, Michael T. , D., Walsh Michael, Gallinger, Steven , Haile, Robert W. , Jenkins, Mark A. , Lindor, Noralane M. , Thibodeau, Stephen N. , Registry, Colon Cancer Family, Young, Joanne , Buchanan, Daniel D. , Tavtigian, Sean V. , Spurdle, Amanda B. , Clendenning, Mark , Hopper, John L. , Marchand, Loı̈c Le , Newcomb, Polly A. , Registry, Colon Cancer Family, Buchanan, Daniel D , Parsons, Michael T , Spurdle, Amanda B , Jenkins, Mark A , Haile, Robert W

Human Mutation | September 4, 2012 | Volume: 34 | Issue: 1 | Pages: 200-209

10.1002/humu.22213 Get It

Abstract 2930: Novel colorectal cancer loci in multiplex-proficient mismatch repair families
Cunningham, Julie M. , Cicek, Mine , Brooke, Fridley, Serie, Daniel, Diergaarde, Brenda , Kontriris, Theodore, Younghusband, Ban, Gallinger, Steven, Jenkins, Mark A. , Templeton, Allyson , Green, Roger, Parry, Susan, Young, Joanne , Thomas, Duncan C. , Lindor, Noralane M. , Thibodeau, Stephen N. , Goode, Ellen L. , CFR., Colon, Bamlet, William R. , Haile, Robert W. , Marchand, Loı̈c Le , Newcomb, Polly A. , Hopper, John L. , Casey, Graham , Schumacher, Fredrick R. , Chen, Zhu , Winship, Ingrid , Macrae, Finlay , Young, Graeme P. , Buchanan, Daniel D. , Bishop, D. Timothy , Potter, John D. , CFR., Colon, Jenkins, Mark A , Diergaarde, Brenda

Cancer Research | August 13, 2012 | Volume: 72 | Issue: 8_Supplement | Pages: 2930-2930

10.1158/1538-7445.am2012-2930 Get It

Abstract A substantial proportion of familial colorectal cancer (CRC) is not a consequence of known susceptibility loci, such as mismatch repair (MMR) genes, supporting the existence of additional loci. To identify novel CRC loci, we conducted a genome-wide linkage scan in 356 white families with no evidence of defective MMR (i.e., no tumors with loss of expression of MMR proteins; no microsatellite instability (MSI)-high tumors, and no evidence of linkage to MMR genes). This represents the largest linkage analysis of proficient MMR (pMMR) familial CRC to date. Families were ascertained via the NCI-supported Colon Cancer Family Registry multi-site (Colon CFR) consortium, the City of Hope, and Memorial University of Newfoundland. A total of 1,612 individuals (average 5.0 per family, range 2-10 with an average of 2.2 affected and 2.8 unaffected individuals) were genotyped using genome-wide single nucleotide polymorphism linkage arrays; parametric and non-parametric linkage analysis used MERLIN in a priori-defined family groups. Five lod scores greater than 3.0 were observed, accounting for heterogeneity, in four chromosomal regions. The greatest lod scores were at 4q21.1 among families with mean age of diagnosis less than 50 years (dominant HLOD=4.51, α=0.84, 145.40 cM, rs10518142) and at 12q24.32 among all families (dominant HLOD=3.60, α=0.48, 285.15 cM, rs952093). Among families with four or more affected individuals and among clinic-based families, a common peak was observed at 15q22.31 (101.40 cM, rs1477798; dominant HLOD=3.07, α=0.29; dominant HLOD=3.03, α=0.32, respectively). Analysis of families with only two affected individuals yielded a peak at 8q13.2 (recessive HLOD=3.02, α=0.51, 132.52 cM, rs1319036). These linkage regions comprise previously unreported loci, supporting the hypothesis that novel loci contribute to CRC in familial pMMR cases. These loci are also largely distinct from those identified in case-control GWAS. To follow up on these findings, a custom Agilent Sure Select Target Enrichment panel has been designed for genes in three of these regions, in order to sequence probands using an Illumina HiSeq 2000. This study demonstrates the utility of family-based data and provides evidence for additional alleles for familial CRC. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2930. doi:1538-7445.AM2012-2930
Abstract LB-348: Integrated analysis of microRNA and mRNA expression in microsatellite-stable colon cancer using next-generation sequencing and cDNA microarrays
Loo, Lenora W. M. , Casey, Graham , Gallinger, Steven , Thibodeau, Stephen N. , Tiirikainen, Maarit , Song, Min‐Ae , Cheng, Iona C. , Marchand, Loı̈c Le

Cancer Research | July 21, 2012 | Volume: 71 | Issue: 8_Supplement | Pages: LB-348-LB-348

10.1158/1538-7445.am2011-lb-348 Get It

Abstract Alterations in the expression of microRNAs (miRNAs) contribute to the development and progression of colon cancer, which arises from the accumulation of genetic and epigenetic alterations in the colon tissue. With the advent of next-generation sequencing (NGS), new depths can be reached, allowing for comprehensive profiling of known and novel miRNAs. To profile the miRNAs and their associated target genes in colon cancer, we examined differential expression of miRNAs and predicted target genes between tumor and normal tissue of microsatellite stable (MSS) and CpG island methylator phenotype (CIMP)-negative colon cancer. Ten fresh-frozen colon tumors and 10 adjacent normal mucosa were profiled for miRNAs using the SOLiD NGS platform and mRNA expression analysis was conducted using Affymetrix arrays. To identify differentially expressed miRNAs in tumor versus normal tissue, analysis of variance was conducted that included Bonferroni correction. Integrated expression analysis of miRNAs and their target mRNAs was conducted using Pearson's correlation and the Benjamini and Hochberg's false discovery rate. Both analyses were done using Partek Genomics Suite software. Nineteen miRNAs were significantly differentially expressed in tumor versus normal tissue (fold change ≥ ±2 and p<0.05). Six of these 19 miRNAs have previously been associated with colon cancer (miR-30a, miR-31, miR-135b, miR-182, miR-183 and miR-202). Integrated analysis of miRNA and predicted target mRNA expression yielded 97 significantly correlated miRNA::mRNA pairs for 14 miRNAs with 92 genes (absolute r = 0.71–0.88, q<0.05). Within these miRNA::mRNA pairs, expression levels of the 6 colon cancer-associated miRNAs were correlated with 33 target genes and 8 miRNAs newly identified to be differentially expressed in colon cancer were correlated with 57 target genes. The top functional Ingenuity Pathway Analysis gene ontology categories (p<0.05) for the 92 genes were gastrointestinal disease (18 genes), genetic disorder (21genes), inflammatory disease (15 genes) and cancer (21 genes). The correlated target genes included several genes implicated in colon cancer such as CDH3, NKD1, RGS2, TCFL5 and ZEB2. In summary, deep miRNA sequencing among MSS/CIMP-negative colon tumors confirmed differential expression of 6 colon cancer-associated miRNAs and identified 13 miRNAs not previously reported in colon cancer. Differential expression of most of the discovered miRNAs was correlated with the expression of genes potentially relevant for colon cancer. If confirmed, these miRNAs may serve as new biomarkers for colon cancer and may further our understanding of the epigenetic changes and pathways involved in the development of colon cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr LB-348. doi:10.1158/1538-7445.AM2011-LB-348
Abstract 4732: Cis-expression QTL analysis of established risk variants for colorectal cancer
Loo, Lenora W. M. , Tiirikainen, Maarit , Lum‐Jones, Annette, Seifried, Ann, Dunklee, Lucas M., Gallinger, Steve, Thibodeau, Stephen N. , Registry, Colon Cancer Family, Cheng, Iona C. , Casey, Graham , Marchand, Loı̈c Le , Registry, Colon Cancer Family

Cancer Research | June 27, 2012 | Volume: 71 | Issue: 8_Supplement | Pages: 4732-4732

10.1158/1538-7445.am2011-4732 Get It

Abstract Introduction: Genome-wide association studies of colorectal cancer have identified 18 risk variants that explain ∼25% of the hereditable risk of colorectal cancer. These variants are located in intronic, inter-genic or gene-desert regions. To uncover whether some of these variants may have a regulatory function on the expression of near-by genes, we conducted expression quantitative trait loci (eQTL) analyses of these 18 regions. Methods: DNA and RNA were extracted from 40 fresh-frozen paired colon tumor (microsatellite stable and CpG island methylator phenotype-negative) and adjacent normal tissue samples collected by the Colon Cancer Family Registry. Whole genome gene expression assessment was performed in the tumors and adjacent normal tissue with the Affymetrix GeneChip Human Exon 1.0 ST array. Genome-wide SNP data was generated with DNA extracted from the same normal tissue samples using the Affymetrix Genome-Wide Human SNP 6.0 array. Partek software was used to compare the expression levels by genotype for each gene spanning a 2 Mb region up- and down- stream of each of the 18 established risk variants for colorectal cancer. Results: Three of the 18 risk variants (rs10795668, rs4444235, rs9929218) demonstrated significant cis-eQTLs (FDR q-values<0.05). Specifically, differential gene expression was observed in genes neighboring rs10795668 at 10p14 (ATP5C1, q=0.024), rs4444235 at 14q22.2 (DLGAP5, q=0.041), and rs9929218 at 16q22.1 (NOL3, q=0.017; DDX28, q=0.046). In particular, DLGAP5 (discs, large (Drosophila) homolog-associated protein 5) at 14q22.2 and NOL3 (nucleolar protein 3) at 16q22 are interesting candidate genes for colorectal cancer. DLGAP5 encodes for a microtubule-associated protein and functions as a mitotic regulator that has been reported to be overexpressed in colon tumors. NOL3 (nucleolar protein 3) encodes for an anti-apoptotic protein that down-regulates the expression of caspase 2 and 8, and p53. NOL3 also appears to be overexpressed in colorectal tumors. Conclusion: In summary, these findings suggest putative functional activities for three established colorectal risk variants and highlight potentially interesting candidate genes for this malignancy. If confirmed, these results may help explain the total genetic risk of the disease, as well as further our understanding of the underlying biology of colorectal cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4732. doi:10.1158/1538-7445.AM2011-4732
Abstract B128: Change in use of folic acid-containing supplements after a diagnosis of colorectal cancer
Holmes, Rebecca , Li, Lin , McKeown‐Eyssen, Gail, Zheng, Yingye , Potter, John D. , Baron, John A. , Marchand, Loı̈c Le , Stern, Mariana Carla , Newcomb, Polly A. , Haile, Robert W. , Limburg, Paul J. , Ulrich, Cornelia M.

Cancer Prevention Research | May 2, 2012 | Volume: 1 | Issue: 7_Supplement | Pages: B128-B128

10.1158/1940-6207.prev-08-b128 Get It

Abstract B128 Background The B vitamin folate affects colorectal carcinogenesis through effects on nucleotide synthesis and possibly DNA methylation. Animal models and epidemiologic evidence suggest that folate from diet and supplements can prevent the development of colorectal cancer (CRC), but that high folate intake after adenomas or cancer are established may accelerate progression or recurrence. The chemotherapeutic agent 5-fluorouracil inhibits thymidylate synthase, a folate-metabolizing enzyme, and the effect of folate intake on treatment efficacy is unknown. Supplement use and folate intake are high among adults in the U.S., particularly with food supply fortification, and higher still among cancer patients and survivors. However, few studies have addressed use of folic acid-containing supplements (FAS) among colorectal cancer patients, how use changes after diagnosis, and what factors determine changes in FAS use. Methods The Colon Cancer Family Registry (CCFR) is a multicenter study of colorectal cancer cases, their family members and controls, recruited since 1998 at six sites in the United States, Australia and Canada. The current analysis includes 1,092 CRC cases with epidemiologic data available from questionnaires administered at enrollment, asking about supplement use and other risk factors before diagnosis, and from follow-up questionnaires about 5 years later. Baseline characteristics for cases who began using FAS (including multivitamins) after diagnosis were compared to those for cases who used FAS neither before nor after diagnosis. We used logistic regression models to evaluate associations between age, sex, CCFR site, race, education, income, lifetime exercise, smoking, body mass index, and diet and change in FAS use, adjusting each model for age, sex and site, when appropriate. Results FAS use before CRC diagnosis was 35.4%, while 55.1% of cases used FAS after diagnosis. Women were more likely to begin FAS use after diagnosis (OR 1.60, 95% CI 1.17-2.19). Current smokers were less likely than nonsmokers to begin FAS use (OR 0.63, 95% CI 0.40-0.97), as were those consuming more red meat (OR 0.38, 95% CI 0.21-0.70 for those in the highest versus lowest intake categories, ptrend=0.012). Subjects with higher fruit intake were more likely to begin FAS use (OR 1.95, 95% CI 1.16-3.30 for highest versus lowest intake, ptrend=0.013). We also observed a suggestive association between lifetime physical activity and change in FAS use for active versus less active subjects (OR 1.48, 95% CI 1.01-2.16), though there was no trend with increasing levels of physical activity (ptrend=0.27). Finally, we found that residents of non-U.S. countries were less likely to begin FAS use (OR 0.57, 95% CI 0.33-0.96 for Ontario, Canada and OR 0.21, 95% CI 0.11-0.38 for Australia). Conclusions: Our analysis showed substantial increases in the use of folic acid-containing supplements after diagnosis with colorectal cancer in CCFR participants, especially among women, U.S. residents, nonsmokers, and those who consumed more fruit and less meat. This study begins to characterize CRC patients likely to be using FAS, and suggests that its use is widespread. This finding is notable given evidence that folate may accelerate progression of colorectal cancer, and the unknown effect that FAS intake may have on the efficacy of cancer treatment and on survival. Citation Information: Cancer Prev Res 2008;1(7 Suppl):B128.
Comparison of the clinical prediction model PREMM 1,2,6 and molecular testing for the systematic identification of Lynch syndrome in colorectal cancer
Kastrinos, Fay , Steyerberg, Ewout W. , Balmañà, Judith , Mercado, Rowena, Gallinger, Steven , Lindor, Noralane M. , Thibodeau, Stephen N. , Registry, the Colon Cancer Family, Haile, Robert W. , Casey, Graham , Hopper, John L. , Marchand, Loı̈c Le , Newcomb, Polly A. , Syngal, Sapna , Registry, the Colon Cancer Family, Balmaña, Judith

Gut | February 16, 2012 | Volume: 62 | Issue: 2 | Pages: 272-279

10.1136/gutjnl-2011-301265 Get It

Background Lynch syndrome is caused by germline mismatch repair (MMR) gene mutations. The PREMM 1,2,6 model predicts the likelihood of a MMR gene mutation based on personal and family cancer history. Objective To compare strategies using PREMM 1,2,6 and tumour testing (microsatellite instability (MSI) and/or immunohistochemistry (IHC) staining) to identify mutation carriers. Design Data from population-based or clinic-based patients with colorectal cancers enrolled through the Colon Cancer Family Registry were analysed. Evaluation included MSI, IHC and germline mutation analysis for MLH1 , MSH2 , MSH6 and PMS2 . Personal and family cancer histories were used to calculate PREMM 1,2,6 predictions. Discriminative ability to identify carriers from non-carriers using the area under the receiver operating characteristic curve (AUC) was assessed. Predictions were based on logistic regression models for (1) cancer assessment using PREMM 1,2,6 , (2) MSI, (3) IHC for loss of any MMR protein expression, (4) MSI+IHC, (5) PREMM 1,2,6 +MSI, (6) PREMM 1,2,6 +IHC, (7) PREMM 1,2,6 +IHC+MSI. Results Among 1651 subjects, 239 (14%) had mutations (90 MLH1 , 125 MSH2 , 24 MSH6 ). PREMM 1,2,6 discriminated well with AUC 0.90 (95% CI 0.88 to 0.92). MSI alone, IHC alone, or MSI+IHC each had lower AUCs: 0.77, 0.82 and 0.82, respectively. The added value of IHC+PREMM 1,2,6 was slightly greater than PREMM 1,2,6 +MSI (AUC 0.94 vs 0.93). Adding MSI to PREMM 1,2,6 +IHC did not improve discrimination. Conclusion PREMM 1,2,6 and IHC showed excellent performance in distinguishing mutation carriers from non-carriers and performed best when combined. MSI may have a greater role in distinguishing Lynch syndrome from other familial colorectal cancer subtypes among cases with high PREMM 1,2,6 scores where genetic evaluation does not disclose a MMR mutation.