Abstract
Abstract Colorectal carcinoma (CRC) is the third highest incidence cancer and leading cause of cancer mortality worldwide. Metastasis to distal organ is the major cause of cancer mortality. This trend is expected to be exacerbated by an aging population in the developed world. Genetic predisposition plays a greater role in disease progression than disease etiology in sporadic CRC. However, the underlying genetic factors for metastasis are currently unclear. We identified germline single nucleotide polymorphism (SNP) variants contributing to metastasis risk from a case-case (metastasis-positive vs metastasis-negative) genome-wide association study (GWAS) comprising 3,000 sporadic Chinese CRC cases with definitive metastasis status. Metastasis-positive case is defined as one with distal-organ involvement attributable to primary CRC; metastasis-negative case is defined as metastasis-free with 5 years or more follow-up. By interrogating summarized SNP statistics from the case-case GWAS using the Functional Mapping and Annotation (FUMA) software, we identified 5 genomic risk loci and 74 disease-relevant genes based on gene set enrichment analysis and the Molecular Signatures Database. These genes are in various pathways implicated in different metastasis steps, from epithelial-mesenchymal transition (EMT) to implantation at distal organs. They are different from the risk variants identified by case-control GWAS for disease occurrence. We will expression-profile 250 metastasis-positive vs metastasis negative cases from the GWAS panel to validate the bioinformatics analysis by quantitative real-time PCR. We will focus first on the five genes implicated in glycolysis as this is a biochemical fingerprint of malignant cells that represents one of the ‘hallmarks of cancer'. Expression profile of these genes will be validated in a second independent panel. Kaplan Meier survival analysis as function of the median expression value will be performed to assess prognostic value of these genes. The ultimate goal is to improve metastasis risk assessment for secondary prevention to reduce cancer mortality and morbidity for individual patient as well as reducing public health expenditure. Citation Format: PehYean Cheah, Lai Fun Thean, Michelle Wong, Michelle Lo, Emile Tan, Choong Leong Tang. Identifying germline variants for metastatic risk assessment in sporadic colorectal carcinomas [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 2829.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have