ArticleBMC cancer2019
A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer.
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 18 citations in OpenAlex.
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- Unveiling the best predictive models for early‑onset metastatic cancer: Insights and innovations (Review).Oncology reports · 2024Review
- Genome-Wide Association Study of Fluorescent Oxidation Products Accounting for Tobacco Smoking Status in Adults from the French EGEA Study.Antioxidants (Basel, Switzerland) · 2022Article
- Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival.Scientific reports · 2022Article
- Examining SNP-SNP interactions and risk of clinical outcomes in colorectal cancer using multifactor dimensionality reduction based methods.Frontiers in genetics · 2022Article
- Discovering Innate Driver Variants for Risk Assessment of Early Colorectal Cancer Metastasis.Frontiers in oncology · 2022Article
- A comprehensive analysis of SNPs and CNVs identifies novel markers associated with disease outcomes in colorectal cancer.Molecular oncology · 2021Article
- A genome-wide search for determinants of survival in 1926 patients with advanced colorectal cancer with follow-up in over 22,000 patients.European journal of cancer (Oxford, England : 1990) · 2021Article
- PretiMeth: precise prediction models for DNA methylation based on single methylation mark.BMC genomics · 2020Article
- Transcriptome sequencing analysis of mono‑ADP‑ribosylation in colorectal cancer cells.Oncology reports · 2020Article
- Article
- Article
- Correction to: A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer.BMC cancer · 2019Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDifferentiating between cancer patients who will experience metastasis within a short time and who will be long-term survivors without metastasis is a critical aim in healthcare. The microsatellite instability (MSI)-high tumor phenotype is such a differentiator in colorectal cancer, as patients with these tumors are unlikely to experience metastasis. Our aim in this study was to determine if germline genetic variations could further differentiate colorectal cancer patients based on the long-term risk and timing of metastasis.
methodsThe patient cohort consisted of 379 stage I-III Caucasian colorectal cancer patients with microsatellite stable or MSI-low tumors. We performed univariable analysis on 810,622 common single nucleotide polymorphisms (SNPs) under different genetic models. Depending on the long-term metastasis-free survival probability estimates, we applied a mixture cure model, Cox proportional hazards regression model, or log-rank test. For SNPs reaching Bonferroni-corrected significance (p < 6.2 × 10
resultsAfter adjusting for significant baseline characteristics, specific genotypes of ten polymorphisms were significantly associated with time-to-metastasis. These polymorphisms are three intergenic SNPs, rs5749032 (p = 1.28 × 10
conclusionsOur results suggest novel associations of specific genotypes of SNPs with early metastasis in Caucasian colorectal cancer patients. These associations, once replicated in other patient cohorts, could assist in the development of personalized treatment strategies for colorectal cancer patients.
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