XRCC3 Thr241Met and TYMS variable number tandem repeat polymorphisms are associated with time-to-metastasis in colorectal cancer

• Published in: PloS one 2018-02, Vol.13 (2), p.e0192316-e0192316
• Main Authors: He, Yanjing, Penney, Michelle E, Negandhi, Amit A, Parfrey, Patrick S, Savas, Sevtap, Yilmaz, Yildiz E
• Format: Article
• Language: English
• Subjects: Analysis; Biology and Life Sciences; Canada; Cancer; Cancer metastasis; Cancer research; Chemotherapy; Colorectal cancer; Colorectal carcinoma; Colorectal Neoplasms - genetics; Colorectal Neoplasms - pathology; DNA repair; DNA-Binding Proteins - genetics; Ethics; Gene expression; Genetic aspects; Genetic polymorphisms; Genetics; Genomics; Genotype & phenotype; Genotypes; Health risk assessment; Health risks; Humans; Medical diagnosis; Medical prognosis; Medical research; Medicine; Medicine and Health Sciences; Metastases; Metastasis; Methionine - genetics; Microsatellite instability; Model accuracy; Mortality; Neoplasm Metastasis; Patients; Polymorphism, Single Nucleotide; Precision medicine; Prognosis; Single-nucleotide polymorphism; Stability; Systematic review; Threonine - genetics; Thymidylate Synthase - genetics; Tumors
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0192316

Metastasis is a major cause of mortality in cancer. Identifying prognostic factors that distinguish patients who will experience metastasis in the short-term and those that will be free of metastasis in the long-term is of particular interest in current medical research. The objective of this study was to examine if select genetic polymorphisms can differentiate colorectal cancer patients based on timing and long-term risk of metastasis. The patient cohort consisted of 402 stage I-III colorectal cancer patients with microsatellite instability (MSI)-low (MSI-L) or microsatellite stable (MSS) tumors. We applied multivariable mixture cure model, which is the proper model when there is a substantial group of patients who remain free of metastasis in the long-term, to 26 polymorphisms. Time-dependent receiver operator characteristic (ROC) curve analysis was performed to determine the change in discriminatory accuracy of the models when the significant SNPs were included. After adjusting for significant baseline characteristics, two polymorphisms were significantly associated with time-to-metastasis: TT and TC genotypes of the XRCC3 Thr241Met (p = 0.042) and the 3R/3R genotype of TYMS 5'-UTR variable number tandem repeat (VNTR) (p = 0.009) were associated with decreased time-to-metastasis. ROC curves showed that the discriminatory accuracy of the model is increased slightly when these polymorphisms were added to the significant baseline characteristics. Our results indicate XRCC3 Thr241Met and TYMS 5'-UTR VNTR polymorphisms are associated with time-to-metastasis, and may have potential biological roles in expediting the metastatic process. Once replicated, these associations could contribute to the development of precision medicine for colorectal cancer patients.