Genetics And Epidemiology Of Colorectal Cancer Consortium Research Articles

Abstract NG07: Association between somatic microsatellite instability, hypermutation status, and specific T cell subsets in colorectal cancer tumors

Abstract NG07: Association between somatic microsatellite instability, hypermutation status, and specific T cell subsets in colorectal cancer tumors

Abstract 4924: Assessing microsatellite instability dominance in colorectal cancer phenotype: A multi-study initiative using multi-target transformers for genomic biomarker prediction

Abstract We used deep learning (DL) to predict multiple genetic biomarkers of colorectal cancer (CRC) from routine histopathology images, aiming to identify morphological changes associated with the mutational profile of tumors. A new Transformer-based prediction model was developed which can simultaneously predict multiple biomarkers from a single histopathology image. We compared the performance of the multi-target approach to conventional single-target models. We analyzed five patient cohorts from the Genetics and Epidemiology of CRC Consortium (GECCO) with colorectal cancer (N=1,385 patients). Our model was trained on an internal data set (N=739) to predict the presence of >200 genetic alterations, focusing on genes with non-silent mutations and mutational signatures, which were assessed using targeted sequencing. We used a 7-fold cross validation and validated the model on an independent, external data set (N=646). Morphological features of microsatellite instability (MSI) are detectable by DL models in histopathology images, making MSI a potential confounding factor. Thus, we also assessed whether our model can predict genetic alterations regardless of MSI status, or whether the model identifies the MSI phenotype. For the majority of biomarkers, the multi-target transformer reached a higher prediction performance as measured by the mean Area Under the Receiver Operating Characteristic (AUROC) Curve and lower standard deviation than single-target DL models. For the external validation set, the mean AUROC of the multi-target versus the single-target model was 0.78 (+/- 0.01) versus 0.72 (+/- 0.06) for BRAF mutations, 0.88 (+/- 0.01) versus 0.86 (+/- 0.03) for hypermutation status, 0.94 (+/- 0.01) versus 0.91 (+/- 0.02) for MSI, 0.86 (+/- 0.01) versus 0.80 (+/- 0.05) for RNF43 mutations and 0.72 (+/- 0.02) versus 0.69 (+/- 0.05) for TP53 mutations, respectively. However, our analysis of the individual prediction scores suggests that the model does not identify the phenotype of the alterations themselves. Instead, the model seems to determine the status of specific genetic alterations based on their correlation with MSI. Consequently, biomarkers which are associated with microsatellite stability have prediction scores negatively correlated with predicted MSI scores. Conversely, biomarkers which are associated with MSI have prediction scores positively correlated with predicted MSI scores. Our results demonstrate potential benefits of multi-target DL models in improving the predictive power and efficacy of histology-based biomarker extraction compared to single-target DL models. However, our results crucially highlight the importance of considering potential confounders, such as MSI status in CRC, and emphasize the need for extensive analysis beyond AUROC in studies focusing on DL-based biomarker detection. Citation Format: Marco Gustav, Marko van Treeck, Zunamys I. Carrero, Chiara M. Loeffler, Nic G. Reitsam, Bruno Märkl, Asier Rabasco Meneghetti, Lisa A. Boardman, Amy J. French, Ellen L. Goode, Andrea Gsur, Stefanie Brezina, Marc J. Gunter, Neil Murphy, Paul Limburg, Stephen Thibodeau, Sebastian Foersch, Robert Steinfelder, Tabitha Harrison, Ulrike Peters, Amanda Phipps, Jakob N. Kather. Assessing microsatellite instability dominance in colorectal cancer phenotype: A multi-study initiative using multi-target transformers for genomic biomarker prediction [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4924.

Genome-wide association studies and Mendelian randomization analyses provide insights into the causes of early-onset colorectal cancer

The incidence of early-onset colorectal cancer (EOCRC; diagnosed <50 years of age) is rising globally; however, the causes underlying this trend are largely unknown. CRC has strong genetic and environmental determinants, yet common genetic variants and causal modifiable risk factors underlying EOCRC are unknown. We conducted the first EOCRC-specific genome-wide association study (GWAS) and Mendelian randomization (MR) analyses to explore germline genetic and causal modifiable risk factors associated with EOCRC. We conducted a GWAS meta-analysis of 6176 EOCRC cases and 65 829 controls from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colorectal Transdisciplinary Study (CORECT), the Colon Cancer Family Registry (CCFR), and the UK Biobank. We then used the EOCRC GWAS to investigate 28 modifiable risk factors using two-sample MR. We found two novel risk loci for EOCRC at 1p34.1 and 4p15.33, which were not previously associated with CRC risk. We identified a deleterious coding variant (rs36053993, G396D) at polyposis-associated DNA repair gene MUTYH (odds ratio 1.80, 95% confidence interval 1.47-2.22) but show that most of the common genetic susceptibility was from noncoding signals enriched in epigenetic markers present in gastrointestinal tract cells. We identified new EOCRC-susceptibility genes, and in addition to pathways such as transforming growth factor (TGF) β, suppressor of Mothers Against Decapentaplegic (SMAD), bone morphogenetic protein (BMP) and phosphatidylinositol kinase (PI3K) signaling, our study highlights a role for insulin signaling and immune/infection-related pathways in EOCRC. In our MR analyses, we found novel evidence of probable causal associations for higher levels of body size and metabolic factors-such as body fat percentage, waist circumference, waist-to-hip ratio, basal metabolic rate, and fasting insulin-higher alcohol drinking, and lower education attainment with increased EOCRC risk. Our novel findings indicate inherited susceptibility to EOCRC and suggest modifiable lifestyle and metabolic targets that could also be used to risk-stratify individuals for personalized screening strategies or other interventions.

Abstract 5223: Circulating lipoprotein lipids and colorectal cancer risk: A Mendelian randomization analysis from the GECCO consortium

Abstract Background Conventional observational studies have reported conflicting results regarding the association between low density lipoprotein cholesterol (LDL-C) and risk of colorectal cancer (CRC). We conducted a Mendelian randomization analysis to address this association. Methods Single-nucleotide polymorphisms (SNPs) associated with five blood lipids (total cholesterol, HDL-C, high-density lipoprotein cholesterol [HDL-C], non-HDL-C, and triglyceride) were obtained from a genome-wide association study (GWAS) meta-analysis of European ancestry in the Global Lipids Genetics Consortium (GLGC, N ≤ 1 319 982), and two lipids (apolipoprotein A1 and apolipoprotein B) from a GWAS in the UK Biobank (UKB, N ≤ 441 016). Summary statistics were obtained for these SNPs from a GWAS of CRC in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) including 34,869 cases and 29,051 controls. Associations with CRC risk per one standard deviation increase in the genetically predicted lipids level were generated using inverse-variance weighted random-effects models. Results No overall association was observed between genetically predicted levels of blood lipids and CRC risk. However, increased risks were observed for all LDL-C related traits among women, including total cholesterol (OR = 1.10; 95%CI = 1.02, 1.18), LDL-C (1.07; 1.00, 1.14), non-HDL-C (1.09; 1.02, 1.16), and apolipoprotein B (1.11; 1.02, 1.21); whereas no significant association was found among men. Similar but ostensibly stronger associations of these traits were seen with distal colon cancer cases, with no significant association showing on proximal colon or rectum cancer cases. We also observed similar positive associations of LDL-C related traits among those having CRC before their 50 years. Of note, risk reduction was found for apolipoprotein A1, a major component of HDL-C, in these early-onset cases (0.87; 0.78, 0.98). Conclusion Results from this study suggest that high circulating LDL-C levels may increase the risk of CRC, particularly cancer of the distal colon, and the association may differ by sex and age at CRC onset. Key words: Blood lipids; colorectal cancer; Mendelian randomization. Citation Format: Lili Liu, Wanqing Wen, Jirong Long, Themistocles L Assimes, Luis Bujanda, Stephen B Gruber, Sébastien Küry, Brigid Lynch, Conghui Qu, Minta Thomas, Emily White, Michael O. Woods, Ulrike Peters, Wei Zheng. Circulating lipoprotein lipids and colorectal cancer risk: A Mendelian randomization analysis from the GECCO consortium. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5223.

Abstract A010: Molecular characteristics and prognosis of early-onset colorectal cancer according to detailed anatomical locations: Comparison to later-onset cases

Abstract Background: Evidence suggests that, compared to later-onset colorectal cancer (CRC), early-onset CRC (diagnosed before 50 years of age) occur more frequently in rectal location and less frequently in proximal colon location. Studies also indicate heterogeneity of molecular characteristics within early-onset CRCs and between early-onset and later-onset CRCs. Understanding how tumor molecular features and biological aggressiveness of early-onset CRC differ by detailed tumor location is important in personalized patient management. Methods: Using 14,004 CRC cases including 3,089 early-onset cases from The Cancer Genome Atlas and the Genetics and Epidemiology of CRC Consortium (GECCO), we examined microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and KRAS and BRAF mutations in cancers of the cecum, ascending colon, transverse colon, descending colon, sigmoid colon, and rectum. We further conducted CRC-specific survival analyses of detailed tumor location stratified by molecular characteristics using multivariable Cox proportional hazards models. Results: The proportions of MSI-high, CIMP-high, and BRAF-mutated early-onset tumors gradually increased from the rectum (8.8%, 3.4%, and 3.5%, respectively) to the ascending colon (46% MSI-high; 15% CIMP-high) or transverse colon (8.6% BRAF-mutated), followed by declines in the cecum for MSI-high (36%) and BRAF-mutated (4.6%) tumors. Notably, later-onset MSI-high tumors showed a continuous decrease in KRAS mutation prevalence from the rectum (36%) to ascending colon (9%; Ptrend &amp;lt;0.001) followed by an increase in the cecum (14%), while early-onset MSI-high cancer showed no such trend. In survival analyses, there was a trend for better CRC-specific survival from the cecum to sigmoid colon (Ptrend&amp;lt;0.001) (but not to rectum), which did not significantly differ by age of diagnosis (Pinteraction=0.61). Multivariable-adjusted hazard ratios (HRs) for sigmoid vs. cecum were 0.86 (95% CI, 0.64-1.14) for early-onset cases and 0.81 (95% CI, 0.70-0.93) for later-onset cases. Notably, the prognostic association of tumor location differed by MSI status (Pinteraction=0.001). Non-MSI-high tumors exhibited the cecum-to-sigmoid trend for better CRC-specific survival [Ptrend &amp;lt;0.001; multivariable-adjusted HR for the sigmoid colon (vs. cecum), 0.80; 95% CI, 0.70-0.92], whereas MSI-high tumors demonstrated an opposite cecum-to-sigmoid trend for worse survival (Ptrend = 0.020; the corresponding HR, 2.13; 95% CI, 1.15-3.92). Conclusions: Our findings support biogeographical and pathogenic heterogeneity of CRC in different age groups and colorectal subsites. Both detailed colorectal location and tumor molecular features need to be accounted for prognostication of early-onset and later-onset CRCs to advance precision medicine. Citation Format: Tomotaka Ugai, Yin Cao, Koichiro Haruki, Tabitha A. Harrison, Daniel D. Buchanan, Peter T. Campbell, Andrew T. Chan, Steven Gallinger, Marc J. Gunter, Michael Hoffmeister, Mark A. Jenkins, Roger L. Milne, Polly A. Newcomb, Rish K. Pai, Andrew J. Pellatt, Robert E. Schoen, Bethany Van Guelpen, Michael O. Woods, Amanda I. Phipps, Ulrike Peters, Shuji Ogino. Molecular characteristics and prognosis of early-onset colorectal cancer according to detailed anatomical locations: Comparison to later-onset cases [abstract]. In: Proceedings of the AACR Special Conference on Colorectal Cancer; 2022 Oct 1-4; Portland, OR. Philadelphia (PA): AACR; Cancer Res 2022;82(23 Suppl_1):Abstract nr A010.

Diabetes mellitus in relation to colorectal tumor molecular subtypes: A pooled analysis of more than 9000 cases.

Diabetes is an established risk factor for colorectal cancer. However, colorectal cancer is a heterogeneous disease and it is not well understood whether diabetes is more strongly associated with some tumor molecular subtypes than others. A better understanding of the association between diabetes and colorectal cancer according to molecular subtypes could provide important insights into the biology of this association. We used data on lifestyle and clinical characteristics from the Colorectal Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), including 9756 colorectal cancer cases (with tumor marker data) and 9985 controls, to evaluate associations between reported diabetes and risk of colorectal cancer according to molecular subtypes. Tumor markers included BRAF and KRAS mutations, microsatellite instability and CpG island methylator phenotype. In the multinomial logistic regression model, comparing colorectal cancer cases to cancer‐free controls, diabetes was positively associated with colorectal cancer regardless of subtype. The highest OR estimate was found for BRAF‐mutated colorectal cancer, n = 1086 (ORfully adj: 1.67, 95% confidence intervals [CI]: 1.36‐2.05), with an attenuated association observed between diabetes and colorectal cancer without BRAF‐mutations, n = 7959 (ORfully adj: 1.33, 95% CI: 1.19‐1.48). In the case only analysis, BRAF‐mutation was differentially associated with diabetes (P difference = .03). For the other markers, associations with diabetes were similar across tumor subtypes. In conclusion, our study confirms the established association between diabetes and colorectal cancer risk, and suggests that it particularly increases the risk of BRAF‐mutated tumors.

Abstract 819: Consumption of fruits, vegetables and fiber and risk of colorectal cancer: A gene environment interaction analysis

Abstract Introduction: Consumption of fruits, vegetables and fiber has been associated with lower colorectal cancer (CRC) risk however, it is unclear if genetic variants can modify these associations. Methods: Within three genetic CRC consortia including up to 76,157 participants (32,859 cases and 43,298 controls) of European descent: the Colorectal Cancer Family Registry (CCFR), the Colorectal Cancer Transdisciplinary (CORECT) Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), one-step [logistic regression case-control analysis and joint two- and three-degrees of freedom (DF) tests] and two-step methods were implemented to identify novel and biologically plausible gene-environment interactions. Results: Fruits, vegetables and fiber consumption were inversely associated with CRC with odds ratios per quartile increase of 0.89 [95% confidence interval (CI): 0.86, 0.92], 0.91 (95% CI: 0.88, 0.94) and 0.86 (95% CI: 0.84, 0.89) respectively. The logistic regression analysis identified significant interaction effects between rs142981275 adjacent to the ACOT1 gene and fruits consumption (pval:1.91E-8) and the 2DF test, which jointly considers G and GxE effects, also identified this SNP. The 3DF test also considers G and GxE information and further revealed four loci associated with CRC risk, in the genes NEGR1(rs1620977), ZRANB3 (rs1561277), MCM6 (rs4988235), R3HDM1(rs12465802) (all pval:&amp;lt;5E-8) out of which rs1620977 and rs12465802 were the leading independent variants. For vegetables, the 3DF test identified significant interaction effects in the DCBLD1 gene (rs4946259; pval:1.44E-8). Finally, no significant interactions were observed for any genetic variant and fiber consumption. The 2-step approach did not identify additional interactions either. Conclusion: This study identified statistically significant interactions between several genetic variants and the consumption of fruits and vegetables with CRC risk. Further research is needed to elucidate the exact mechanisms through which these interactions might influence CRC risk. Citation Format: Nikos Papadimitriou, Akihisa Hidaka, Andre Kim, Niki Dimou, Neil Murphy, Sonja I. Berndt, David Conti, Peter T. Campbell, Graham Casey, Jane C. Figueiredo, Konstantinos K. Tsilidis, Stephen B. Gruber, Sophia Harlid, Yi Lin, Victor Moreno, Lori C. Sakoda, Virginia D. Obrero, Li Hsu, William J. Gauderman, Marc Gunter, Ulrike Peters. Consumption of fruits, vegetables and fiber and risk of colorectal cancer: A gene environment interaction analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 819.

Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses

BackgroundBilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex.MethodsIn a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10−8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study.ResultsThe associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04–1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76–0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02–1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96–1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (Pheterogeneity ≥ 0.2).ConclusionsAdditional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development.

Telomere Maintenance Variants and Survival after Colorectal Cancer: Smoking- and Sex-Specific Associations.

Telomeres play an important role in colorectal cancer prognosis. Variation in telomere maintenance genes may be associated with survival after colorectal cancer diagnosis, but evidence is limited. In addition, possible interactions between telomere maintenance genes and prognostic factors, such as smoking and sex, also remain to be investigated. We conducted gene-wide analyses of colorectal cancer prognosis in 4,896 invasive colorectal cancer cases from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO); 1,871 common variants within 13 telomere maintenance genes were included. Cox models were fit to estimate associations of these variants individually with overall and colorectal cancer-specific survival. Likelihood ratio tests were used to test for interaction by smoking and sex. P values were adjusted using Bonferroni correction. The association between minor allele of rs7200950 (ACD) with colorectal cancer-specific survival varied significantly by smoking pack-years (corrected P = 0.049), but no significant trend was observed. By sex, minor alleles for rs2975843 (TERF1), rs75676021 (POT1), and rs74429678 (POT1) were associated with decreased overall and/or colorectal cancer-specific survival in women but not in men. Our study reported a gene-wide statistically significant interaction with sex (TERF1, POT1). Although significant interaction by smoking pack-years (ACD) was observed, there was no evidence of a dose response. Validation of these findings in other large studies and further functional annotation on these SNPs are warranted. Our study found a gene-smoking and gene-sex interaction on survival after colorectal cancer diagnosis, providing new insights into the role of genetic polymorphisms in telomere maintenance on colorectal cancer prognosis.

Abstract 2355: Folate and folic acid intake in relation to molecular subtypes of colorectal cancer; a pooled analysis of 7542 cases

Abstract Background: Higher folate intake has been reported to be associated with modestly lower risk of colorectal cancer, but the overall state of the evidence is inconclusive. Revisiting putative and established lifestyle-related risk factors from the perspective of intertumoral heterogeneity is warranted, as risk relationships for a molecular subtype may be attenuated toward the null when colorectal cancer is investigated as a single disease. Aim: To investigate folate and folic acid intakes in relation to the risk of molecular subtypes of colorectal cancer. Methods: We pooled individual-level observational data from 7542 colorectal cancer cases and 7066 controls within the collaborative framework of the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) and the Colon Cancer Family Registry (CCFR). Odds ratios per sex- and study-specific quartile increase in dietary and total folate intake, and for folic acid supplement use (yes/no), were estimated using logistic regression for case-only analyses and multinomial models for case-control analyses. Minimally adjusted analyses included sex, age, study and total energy intake as covariates. Tumor marker variables included microsatellite instability (MSI) status, CpG island methylator phenotype (CIMP), and BRAF and KRAS mutations. Results: In case-only analyses, we observed no heterogeneity in associations between folate intake, with or without supplemental folic acid (taking into consideration folic acid fortification when relevant), or with folic acid supplement use, and the risk of any subtype of colorectal cancer based on individual molecular tumor markers (lowest p for heterogeneity 0.073). In case-control analyses, higher dietary and total folate intake and folic acid supplement use were associated with a lower risk of most molecular tumor subtypes (all odds ratios were below one, and most were statistically significant). Adjustment for a larger set of potential confounders had no material effect on risk estimates. Conclusion: In this large, pooled analysis, higher dietary and total folate intakes and folic acid supplement use were all associated with a lower risk of colorectal cancer, regardless of individual molecular tumor markers including MSI status, CIMP, and BRAF and KRAS mutations. Citation Format: Bethany Van Guelpen, Björn Gylling, Sophia Harlid, Anna Winkvist, Hermann Brenner, Daniel D. Buchanan, Peter T. Campbell, Andrew T. Chan, Jenny Chang-Claude, Steven J. Gallinger, Graham G. Giles, Marc J. Gunter, Michael Hoffmeister, Li Hsu, Mark A. Jenkins, Roger L. Milne, Polly A. Newcomb, Shuji Ogino, John D. Potter, Conghui Qu, Lori C. Sakoda, Robert E. Schoen, Martha L. Slattery, Mikael O. Woods, Tabitha A. Harrison, Ulrike Peters. Folate and folic acid intake in relation to molecular subtypes of colorectal cancer; a pooled analysis of 7542 cases [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 2355.

Mendelian Randomization of Circulating Polyunsaturated Fatty Acids and Colorectal Cancer Risk.

Results from epidemiologic studies examining polyunsaturated fatty acids (PUFA) and colorectal cancer risk are inconsistent. Mendelian randomization may strengthen causal inference from observational studies. Given their shared metabolic pathway, examining the combined effects of aspirin/NSAID use with PUFAs could help elucidate an association between PUFAs and colorectal cancer risk. Information was leveraged from genome-wide association studies (GWAS) regarding PUFA-associated SNPs to create weighted genetic scores (wGS) representing genetically predicted circulating blood PUFAs for 11,016 non-Hispanic white colorectal cancer cases and 13,732 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Associations per SD increase in the wGS were estimated using unconditional logistic regression. Interactions between PUFA wGSs and aspirin/NSAID use on colorectal cancer risk were also examined. Modest colorectal cancer risk reductions were observed per SD increase in circulating linoleic acid [ORLA = 0.96; 95% confidence interval (CI) = 0.93-0.98; P = 5.2 × 10-4] and α-linolenic acid (ORALA = 0.95; 95% CI = 0.92-0.97; P = 5.4 × 10-5), whereas modest increased risks were observed for arachidonic (ORAA = 1.06; 95% CI = 1.03-1.08; P = 3.3 × 10-5), eicosapentaenoic (OREPA = 1.04; 95% CI = 1.01-1.07; P = 2.5 × 10-3), and docosapentaenoic acids (ORDPA = 1.03; 95% CI = 1.01-1.06; P = 1.2 × 10-2). Each of these effects was stronger among aspirin/NSAID nonusers in the stratified analyses. Our study suggests that higher circulating shorter-chain PUFAs (i.e., LA and ALA) were associated with reduced colorectal cancer risk, whereas longer-chain PUFAs (i.e., AA, EPA, and DPA) were associated with an increased colorectal cancer risk. The interaction of PUFAs with aspirin/NSAID use indicates a shared colorectal cancer inflammatory pathway. Future research should continue to improve PUFA genetic instruments to elucidate the independent effects of PUFAs on colorectal cancer.

DNA repair and cancer in colon and rectum: Novel players in genetic susceptibility.

Interindividual differences in DNA repair systems may play a role in modulating the individual risk of developing colorectal cancer. To better ascertain the role of DNA repair gene polymorphisms on colon and rectal cancer risk individually, we evaluated 15,419 single nucleotide polymorphisms (SNPs) within 185 DNA repair genes using GWAS data from the Colon Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), which included 8,178 colon cancer, 2,936 rectum cancer cases and 14,659 controls. Rs1800734 (in MLH1 gene) was associated with colon cancer risk (p-value = 3.5 × 10-6 ) and rs2189517 (in RAD51B) with rectal cancer risk (p-value = 5.7 × 10-6 ). The results had statistical significance close to the Bonferroni corrected p-value of 5.8 × 10-6 . Ninety-four SNPs were significantly associated with colorectal cancer risk after Binomial Sequential Goodness of Fit (BSGoF) procedure and confirmed the relevance of DNA mismatch repair (MMR) and homologous recombination pathways for colon and rectum cancer, respectively. Defects in MMR genes are known to be crucial for familial form of colorectal cancer but our findings suggest that specific genetic variations in MLH1 are important also in the individual predisposition to sporadic colon cancer. Other SNPs associated with the risk of colon cancer (e.g., rs16906252 in MGMT) were found to affect mRNA expression levels in colon transverse and therefore working as possible cis-eQTL suggesting possible mechanisms of carcinogenesis.

Abstract 1598: Deep targeted sequencing of colorectal cancer cases to study associations of molecular subtypes with clinical, genetic, and lifestyle risk factors

Abstract Colorectal cancer (CRC) is the 3rd most common cancer in men and women, excluding skin cancer, and the 2nd leading cause of cancer death in the United States. In this biologically heterogeneous disease, a comprehensive molecular characterization is valuable for understanding tumorigenesis and studying associations with clinical, lifestyle, environmental, and germline genetic factors. The Colon Cancer Family Registry (CCFR) and Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) collected clinical, germline genetic, and epidemiologic data from over 125,000 CRC cases. In a subset of 2,500 CRC cases, we conducted targeted deep sequencing of tumor and matching normal DNA. The custom AmpliSeq sequencing panel includes 205 genes, which were prioritized from literature and analyses of existing CRC tumor whole exome sequencing data. Next-generation sequencing was conducted on Illumina Hi-Seq 2500, and mean sequence coverages of 748x and 287x were attained for tumors and normal DNA samples, respectively. So far, 1,705 cases have been analyzed. Strelka and MuTect were used to identify somatic single nucleotide variants, and VarsScan2, Verdict, and Strelka were used to call indels. Orthogonal technologies were used for validation and improving mutation calling algorithms. Approximately 18% of tumors were hypermutated, among which 70% exhibited microsatellite instability (MSI). Hypermutated tumors with MSI occurred more frequently in proximal colon compared to distal colon and rectum (OR, 10.10; 95% CI, 6.98-14.63; P&amp;lt;0.0001). Hypermutated tumors carried non-silent mutations in DNA mismatch repair genes (MSH2, MSH6, MLH1, MLH3, and PMS2), POLE, and POLD1. In POLE, in microsatellite stable hypermutated tumors, non-silent mutations were frequent in the exonuclease domain. Approximately 96% of non-hypermutated and 99% of hypermutated tumors contained non-silent mutations in genes in the Wnt/beta-catenin, p53, receptor tyrosine kinases/RAS, transforming growth factor-beta, and phosphatidylinositide 3-kinases pathways. Most tumors carried non-silent mutations in genes in more than one of these signaling pathways. The APC gene was the most significantly mutated gene in non-hypermutated tumors followed by TP53, KRAS, and PIK3CA. In hypermutated tumors, RNF43 was the most significantly mutated gene followed by BMPR2, APC, and BRAF. CRC-specific survival was significantly more favorable among individuals with hypermutated tumors, regardless of POLE mutation status (HR=0.36, 95% CI: 0.23-0.57). This survival benefit was attenuated in analyses of overall survival (HR=0.82, 95% CI: 0.65-1.02). This large dataset is being used to study associations with clinical, lifestyle, and environmental factors. This study will provide valuable information to develop better strategies for the prevention, diagnosis, and treatment of CRC. Citation Format: Syed H. Zaidi, Amanda I. Phipps, Tabitha A. Harrison, Robert S. Steinfelder, Quang Trinh, Barbara L. Banbury, Adilya Rafikova, Megan Van Tassel, Emma Reid, Stefanie Brezina, Marios Giannakis, Charles S. Fuchs, Li Hsu, Andrea Gsur, Shuji Ogino, Steven Gallinger, Polly A. Newcomb, Peter T. Campbell, Wei Sun, Thomas J. Hudson, Ulrike Peters. Deep targeted sequencing of colorectal cancer cases to study associations of molecular subtypes with clinical, genetic, and lifestyle risk factors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1598.

Abstract 2685: Identification of circulating protein biomarkers for colorectal cancer risk: A genetic instrument analysis

Abstract Colorectal cancer (CRC) is one of the most common cancers in United States and many countries in the world. There is an urgent need to better understand its etiology and identify novel biomarkers to facilitate the early detection of CRC. Previous studies either lacked sufficient power to identify novel biomarkers or provided inconsistent results. In the current study, we attempted to uncover novel protein biomarkers for CRC through an integrated analysis of genomics and proteomics data. We first constructed study instruments using genetic variants identified from a large-scale protein quantitative trait loci (pQTL) analysis for over 1,400 circulating proteins. We used beta coefficients and standard errors for these pQTL variants from two large consortia of European-ancestry populations, the Colorectal Transdisciplinary (CORECT) Study (11,895 cases and 14,659 controls) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) (22,974 cases and 14,392 controls) for association analyses for genetically predicted protein levels with CRC risk using an inverse-variance weighted method. The genetically predicted levels of six proteins were associated with CRC risk after accounting for multiple comparisons (Benjamini-Hochberg FDR &amp;lt; 0.05). Among them, genetically predicted levels of VCAM-1, MIP-3b and LPH were inversely associated with CRC risk (VCAM-1: odds ratio [OR] per unit of increase = 0.65, Pmeta = 6.2 ×10-11; MIP-3b: OR = 0.68, Pmeta = 5.5×10-7; LPH: OR = 0.93, Pmeta = 8.0×10-5), while BMP-6, CRDL2 and laminin were positively associated (BMP-6: OR = 1.57, Pmeta = 3.0 ×10-9; CRDL2: OR = 1.36, Pmeta = 3.0 ×10-9; laminin: OR = 1.13, Pmeta = 6.7 ×10-5). Except for VCAM-1 (rs3184504, 12q24.12-SH2B3), other associations are not accounted for by any known CRC susceptibility variants. We observed a possible biological link connecting the genetic variants of LAMC1, LAMC1 expression, and laminin concentrations to CRC risk. Our study identifies potential novel biomarkers for CRC risk and provides novel insight into the disease etiology. Citation Format: Xiang Shu, Xiao-ou Shu, Jirong Long, Qiuyin Cai, Conghui Qu, Stephanie L. Schmit, Chenxu Qu, Sonja I. Berndt, Peter T. Campbell, Andrew T. Chan, Graham G. Giles, Andrea Gsur, Michael Hoffmeister, Mark A. Jenkins, Sanford D. Markowitz, Li Li, Gad Rennert, Kenneth Offit, David Conti, Annika Lindblom, Graham Casey, Stephen B. Gruber, Ulrike Peters, Wei Zheng. Identification of circulating protein biomarkers for colorectal cancer risk: A genetic instrument analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2685.

Mendelian randomization analysis of C-reactive protein on colorectal cancer risk.

Chronic inflammation is a risk factor for colorectal cancer (CRC). Circulating C-reactive protein (CRP) is also moderately associated with CRC risk. However, observational studies are susceptible to unmeasured confounding or reverse causality. Using genetic risk variants as instrumental variables, we investigated the causal relationship between genetically elevated CRP concentration and CRC risk, using a Mendelian randomization approach. Individual-level data from 30 480 CRC cases and 22 844 controls from 33 participating studies in three international consortia were used: the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colorectal Transdisciplinary Study (CORECT) and the Colon Cancer Family Registry (CCFR). As instrumental variables, we included 19 single nucleotide polymorphisms (SNPs) previously associated with CRP concentration. The SNP-CRC associations were estimated using a logistic regression model adjusted for age, sex, principal components and genotyping phases. An inverse-variance weighted method was applied to estimate the causal effect of CRP on CRC risk. Among the 19 CRP-associated SNPs, rs1260326 and rs6734238 were significantly associated with CRC risk (P = 7.5 × 10-4, and P = 0.003, respectively). A genetically predicted one-unit increase in the log-transformed CRP concentrations (mg/l) was not associated with increased risk of CRC [odds ratio (OR) = 1.04; 95% confidence interval (CI): 0.97, 1.12; P = 0.256). No evidence of association was observed in subgroup analyses stratified by other risk factors. In spite of adequate statistical power to detect moderate association, we found genetically elevated CRP concentration was not associated with increased risk of CRC among individuals of European ancestry. Our findings suggested that circulating CRP is unlikely to be a causal factor in CRC development.

Leptin gene variants and colorectal cancer risk: Sex-specific associations.

BackgroundHigh levels of serum leptin and low levels of serum adiponectin are strongly correlated with obesity, a well-established risk factor for colorectal cancer (CRC). Growing evidence suggests that dysregulation of leptin and adiponectin levels may play an etiological role in colorectal carcinogenesis. We evaluated 20 candidate variants in 4 genes previously shown to alter serum leptin and adiponectin levels for associations with obesity (BMI>30 kg/m2) and CRC risk.MethodsWe analyzed 6,246 CRC cases and 7,714 population-based controls from 11 studies within the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Associations of each variant with obesity or CRC were evaluated using multivariate logistic regression models stratified by sex and adjusted for age, a study variable, and the first three principal components of genetic ancestry. Gene-specific False Discovery Rate (FDR)-adjusted p-values <0.05 denoted statistical significance.ResultsTwo variants in the leptin gene showed statistically significant associations with CRC among women: LEP rs2167270 (OR = 1.13, 95% CI: 1.06–1.21) and LEP rs4731426 (OR = 1.09, 95% CI: 1.02–1.17). These associations remained significant after adjustment for obesity, suggesting that leptin SNPs may influence CRC risk independent of obesity. We observed statistically significant interactions of the leptin variants with hormone replacement therapy (HRT) for CRC risk; these variant associations were strengthened when analyses were restricted to post-menopausal women with low estrogen exposure, as estimated by ‘never use’ of HRT and/or non-obese BMI. No variants were associated with CRC among men.ConclusionsLeptin gene variants may exhibit sex-specific associations with CRC risk. Endogenous and exogenous estrogen exposure may modify the association between these variants, leptin levels, and CRC risk.

Abstract 5268: Interactions between genetic predictors of gene expression and dietary factors associated with risk of colorectal cancer

Abstract Genome-wide association studies of colorectal cancer (CRC) have identified over 50 susceptibility loci. These variants represent only a small fraction of total heritability for CRC. Gene-environment (GxE) interaction studies may help identify novel loci and biological interactions that give insight to the pathogenesis of CRC. Previous genome-wide GxE studies with dietary factors have identified interactions between loci and processed meat consumption and alcohol; however, limited statistical power remains a primary concern. Set-based SNP testing has the potential to increase statistical power to detect GxE interactions by aggregating functionally relevant SNPs. In this large pooled analysis using 14 case-control and nested case-control studies, we incorporated functional information from the transcriptome prediction tool, PrediXcan, into a novel set-based approach for testing GxE interactions. We used variant weights from the PrediXcan models of tissue-specific gene expression in the transverse colon as a priori variant information for a set-based GxE approach. We restricted our analysis to variants in the PrediXcan transverse colon gene models (n = 4,842). This discovery phase included 10,360 CRC and advanced adenoma cases, and 11,183 controls of European ancestry from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) and the Colon Cancer Family Registry. All 14 studies were analyzed together in a pooled data set using the Mixed Effects Score Tests for interactions. We tested for gene interactions with sex- and study- specific quartiles of dietary intake of red meat (servings/day), processed meat (servings/day), vegetables (servings/day), fruits (servings/day), and fiber (g/day). We detected two genes with suggestive interactions (false discovery rate (FDR) &amp;lt; 0.2) with intake of red meat and risk of CRC: Superoxide Dismutase 2 (SOD2) and Ubiquitin Conjugating Enzyme E2 H (UBE2H). No interactions at FDR &amp;lt; 0.2 were observed for processed meat, vegetables, fruits, or fiber. The SOD2 gene, which encodes an enzyme important in apoptotic signaling and clearing of reactive oxygen species, may regulate response to colonic exposure to heme iron or increased bile acid from high-fat content in red meat. UBE2H is part of the ubiquitin-proteasome system that has a role in Wnt signaling, which can be mediated by heme iron in red meat and is commonly found dysregulated in cancer. These findings highlight the efficacy of integrating functional information and set-based testing for novel discovery of genes interacting with known dietary risk factors of CRC. We plan to replicate these findings in additional studies. Citation Format: Paneen S. Petersen, Yu-Ru Su, Sonja I. Berndt, Stephanie A. Bien, Hermann Brenner, Graham Casey, Andrew T. Chan, Jenny Chang-Claude, Jane C. Figueiredo, Steven J. Gallinger, Robert W. Haile, Tabitha A. Harrison, Michael Hoffmeister, Mark A. Jenkins, Amit D. Joshi, Sébastien Küry, Loic Le Marchand, Yi Lin, Noralane M. Lindor, Polly A. Newcomb, John D. Potter, Robert Schoen, Martha L. Slattery, Stephen N. Thibodeau, Emily White, Li Hsu, Ulrike Peters, CCFR, GECCO. Interactions between genetic predictors of gene expression and dietary factors associated with risk of colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5268.

Abstract 245: Genetic variation related to innate immunity and colorectal cancer risk

Abstract Introduction: Previous studies have shown that polymorphisms in the Toll-like receptor 4 (TLR4) gene may be associated with obesity, inflammatory bowel disease, and various cancers, including prostate, breast, and gastric cancer. However, the data regarding the associations between various TLR4 single-nucleotide polymorphisms (SNPs) and colorectal cancer (CRC) risk are inconsistent. In addition, the effect of interactions between TLR4 SNPs and obesity on the risk of CRC remains unclear. Methods: We selected candidate SNPs involved in the TLR4 pathway that were previously associated with the risk of CRC or other cancer (N=31). SNPs with low minor allele frequency (MAF &amp;lt; 0.05) were excluded (N=2), leaving 29 SNPs in the main analysis. We examined the associations of these SNPs with CRC risk using logistic regression on 10,998 cases of colorectal cancer and 10,691 controls drawn from 14 studies within the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) and the Colon Cancer Family Registry (CCFR). BMI was dichotomized into non-obese (BMI ≤25) and obese (BMI &amp;gt;25) categories. Overall and BMI-stratified analyses were performed across studies, with regression models adjusting for sex, age, study site, and the first three principal components from EIGENSTRAT to account for potential population substructure. A false discovery rate at 0.2 was applied to correct for multiple testing. Results: Before adjustment for multiple comparisons, TLR4 SNPs rs10116253, rs11536891, rs7873784, rs1927911, rs4986791, and rs4986790 were associated with CRC risk. Additionally, for both rs4986791 and rs4986790, this association was more pronounced in those with a BMI ≤25 (rs4986791 - OR: 1.17; 95% CI: 1.02-1.34; rs4986790 - OR: 1.20; 95% CI: 1.04-1.38) compared to those who had a BMI &amp;gt;25 (rs4986791 - OR: 1.03; 95% CI: 0.93-1.15; rs4986790 - OR: 1.03; 95% CI: 0.92-1.15). However, after accounting for multiple comparisons, there were no statistically significant associations between candidate SNPs and CRC nor any statistically significant SNP interactions with BMI. Conclusion: This large study provides evidence that neither these identified TLR4 SNPs nor their interaction with obesity are associated with CRC risk. Citation Format: Jessica Citronberg, Barbara Banbury, Andrew T. Chan, Peter T. Campbell, Graham Casey, Jenny Chang-Claude, Steven J. Gallinger, Tabitha Harrison, Michael Hoffmeister, Mark A. Jenkins, Loic Le Marchand, Hongmei Nan, Hongmei Nan, Li Jiao, Robert E. Schoen, Hermann Brenner, Emily White, Ulrike Peters, Polly A. Newcomb. Genetic variation related to innate immunity and colorectal cancer risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 245.

Abstract 2965: Functionally informed genome-wide interaction analysis of nonsteroidal anti-inflammatory drugs on colorectal cancer risk

Abstract Background Regular use of aspirin and other non-steroidal anti-inflammatory drugs (NSAIDs) is associated with lower risk of colorectal cancer (CRC). Genome-wide interaction analysis (GxE) has identified a few variants that may modify the effects of NSAIDs on CRC risk. However, limited statistical power remains a concern. Restricting analyses by using functional genomic information to aggregate variants into biologically relevant sets can reduce the number of tests, thereby increasing statistical power. We tested the interactions between variant models of gene expression and NSAIDs use on CRC risk. Methods Functional weights of each variant were estimated using PrediXcan based on jointly measured transcriptomes and genomes data of transverse colon tissues from the Genotype-Tissue Expression (GTEx) Project for all genes with sufficient heritability (≥1%). A mixed-effects model was used to assess the GxE effects in a gene among 9,917 incident CRC cases and 10,533 controls from 17 (nested) case-control studies from the Colon Cancer Family Registry (CCFR) and Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). GxE analysis was done by modeling the interaction between predicted gene expression and NSAID use (fixed effects), and residual variant-specific GxE effects that are not accounted for (random effects). Regular user of aspirin and/or non-aspirin NSAIDs was compared to non-regular users. False discovery rate (FDR) was used to account for multiple comparison and FDR≤0.2 was considered genome-wide significant. Secondary analysis was performed on significant genes and duration of use among users. Results Regular use of aspirin was higher among controls (30.3%) compared to cases (24.3%). Among the 4,842 genes tested, SORD significantly modified the effect of regular use of aspirin on CRC risk (p-interaction = 1.45×10-5; FDR=0.07). The SORD gene encodes sorbitol dehydrogenase (SORD), which oxidizes sorbitol to fructose in the polyol pathway. Decreased SORD concentrations were previously observed to dramatically increase in colorectal adenoma cells when compared to normal mucosa cells, suggesting the involvement of dysregulated polyol metabolisms in colorectal tumorigenesis. However, the duration of aspirin use was not statistically significantly associated with SORD gene expression on CRC risk (p=0.149) among 5,560 aspirin users. No significant interactions were observed between genetically determined colon gene expression levels and any NSAID use or non-aspirin NSAID use at FDR&amp;lt;0.2. Conclusions Incorporating functional information, we discovered a novel gene that may interact with aspirin use to confer CRC risk. These findings provide preliminary support for new biological insights that could help understand the chemopreventive mechanisms of aspirin on CRC. We aim to replicate these findings in additional studies. Citation Format: Xiaoliang Wang, Yu-Ru Su, Andrew T. Chan, Stephanie Bien, Sonja I. Bernt, Hermann Brenner, Graham Casey, Jenny Chang-Claude, Steven J. Gallinger, Robert W. Haile, Tabitha A. Harrison, Michael Hoffmeister, Mark A. Jenkins, Amit Joshi, Yi Lin, Noralane M. Lindor, Loic Le Marchand, Hongmei Nan, Polly A. Newcomb, John D. Potter, Martha L. Slattery, Steve N. Thibodeau, Emily White, Li Hsu, Ulrike Peters. Functionally informed genome-wide interaction analysis of nonsteroidal anti-inflammatory drugs on colorectal cancer risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2965.

Abstract 1224: Deep targeted tumor sequencing of colorectal cancer cases to study associations of molecular subtypes with clinical, genetic, and lifestyle risk factors

Abstract Colorectal cancer (CRC), a common malignancy, is a biologically heterogeneous disease. Next-generation sequencing (NGS) has enabled CRC characterization by identifying somatically mutated genes which now allow us to better define colorectal tumor subtypes (e.g. by mutated pathways). However, the relationship of such CRC subtypes to patient survival and genetic and lifestyle risk factors has not been comprehensively studied. To identify somatic mutations in CRC cases, we designed a targeted AmpliSeq panel of CRC related genes and genomic regions informed by whole exome sequencing data from ~1,200 CRC cases. The sequencing was conducted on Illumina HiSeq 2500 with a mean coverage of 740x and 240x for DNA extracted from FFPE tumor tissues and matched normal samples, respectively. Strelka, MuTect, VarDict, and Varscan2 were used to identify somatic single nucleotide variants and indels. Sanger sequencing was performed to validate a subset of variants. To date, we have sequenced ~2,400 CRC tumors and matched control tissues from four studies participating in the Colon Cancer Family Registry (CCFR) and Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). In most tumors, we identified non-silent mutations in genes belonging to the WNT (77%), p53 (44%), IGF2/PI3K (22%), RTK-RAS (47%), and TGF-beta (26%) signaling pathways. Among the 15% of tumors that could be classified as hypermutated, based on the number of mutations, 39% exhibited non-silent mutations in MLH1, MLH3, MSH2, MSH6, and PMS2 and 41% exhibited non-silent mutations in POLE and POLD1. In a subset of studies with available survival data, we used Cox regression to assess the association of hypermutation status and the presence of non-silencing mutations in key signaling pathways with overall (OS) and disease-specific (DSS) survival. OS and DSS were significantly more favorable in cases with hypermutated vs. non-hypermutated CRC (HR=0.77, 95% CI: 0.60-0.98, p=0.04 and HR=0.35, 95% CI: 0.22-0.57, p=2x10-5, respectively); these associations were most pronounced for POLE/POLD1 mutated hypermutated CRC (HR=0.69, 95% CI: 0.46-1.02, p=0.06, HR=0.21, 95% CI: 0.08-0.56, p=2x10-3, respectively). There was no significant association of mutations in WNT, p53, IGF2/PI3K, RTK-RAS, or TGF-beta pathways with survival (p&amp;gt;0.05). The comprehensive molecular characterization of this large panel of CRC cases will support further studies of molecular subtypes of CRC with clinical, lifestyle, and environmental factors. A better understanding of molecular mechanisms of CRC will be valuable in developing strategies for prevention, diagnosis, and treatment of this life-threatening disease. Citation Format: Syed Zaidi, Amanda Phipps, Tabitha Harrison, Catherine Grasso, Robert Steinfelder, Quang Trinh, Charles Connolly, Barbara Banbury, Adilya Rafikova, Philipp Hofer, Stefanie Brezina, Marios Giannakis, Xinmeng Jasmine Mu, Michael Quist, Charles Fuchs, Levi Garraway, Li Hsu, Lincoln Stein, Andrea Gsur, Shuji Ogino, Steven Gallinger, Polly Newcomb, Peter Campbell, Wei Sun, Thomas Hudson, Ulrike Peters. Deep targeted tumor sequencing of colorectal cancer cases to study associations of molecular subtypes with clinical, genetic, and lifestyle risk factors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1224.