ArticlePloS one2018
XRCC3 Thr241Met and TYMS variable number tandem repeat polymorphisms are associated with time-to-metastasis in colorectal cancer.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Innovative molecular targets for combatting metastasis in adrenocortical carcinoma.Frontiers in endocrinology · 2025Article
- X-ray cross-complementing family: the bridge linking DNA damage repair and cancer.Journal of translational medicine · 2023Review
- BCAP31, a cancer/testis antigen-like protein, can act as a probe for non-small-cell lung cancer metastasis.Scientific reports · 2020Article
- Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis.Oncology letters · 2019Article
- Genome-wide DNA methylation differences according to oestrogen receptor beta status in colorectal cancer.Epigenetics · 2019Article
- A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer.BMC cancer · 2019Article
- Genetic Polymorphisms of DNA Repair Pathways in Sporadic Colorectal Carcinogenesis.Journal of Cancer · 2019Review
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetastasis 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.
methodsThe 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.
resultsAfter 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.
conclusionsOur 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.
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