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A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer

BACKGROUND: Differentiating 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 p...

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Autores principales: Penney, Michelle E., Parfrey, Patrick S., Savas, Sevtap, Yilmaz, Yildiz E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368959/
https://www.ncbi.nlm.nih.gov/pubmed/30738427
http://dx.doi.org/10.1186/s12885-019-5346-5
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author Penney, Michelle E.
Parfrey, Patrick S.
Savas, Sevtap
Yilmaz, Yildiz E.
author_facet Penney, Michelle E.
Parfrey, Patrick S.
Savas, Sevtap
Yilmaz, Yildiz E.
author_sort Penney, Michelle E.
collection PubMed
description BACKGROUND: Differentiating 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. METHODS: The 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(− 8)) having valid genetic models, multivariable analysis adjusting for significant baseline characteristics was conducted. RESULTS: After 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(− 10)), rs2327990 (p = 9.59 × 10(− 10)), rs1145724 (p = 3 × 10(− 8)), and seven SNPs within the non-coding sequences of three genes: FHIT (p = 2.59 × 10(− 9)), EPHB1 (p = 8.23 × 10(− 9)), and MIR7515 (p = 4.87 × 10(− 8)). CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5346-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-63689592019-02-20 A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer Penney, Michelle E. Parfrey, Patrick S. Savas, Sevtap Yilmaz, Yildiz E. BMC Cancer Research Article BACKGROUND: Differentiating 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. METHODS: The 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(− 8)) having valid genetic models, multivariable analysis adjusting for significant baseline characteristics was conducted. RESULTS: After 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(− 10)), rs2327990 (p = 9.59 × 10(− 10)), rs1145724 (p = 3 × 10(− 8)), and seven SNPs within the non-coding sequences of three genes: FHIT (p = 2.59 × 10(− 9)), EPHB1 (p = 8.23 × 10(− 9)), and MIR7515 (p = 4.87 × 10(− 8)). CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-5346-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-09 /pmc/articles/PMC6368959/ /pubmed/30738427 http://dx.doi.org/10.1186/s12885-019-5346-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Penney, Michelle E.
Parfrey, Patrick S.
Savas, Sevtap
Yilmaz, Yildiz E.
A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer
title A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer
title_full A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer
title_fullStr A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer
title_full_unstemmed A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer
title_short A genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer
title_sort genome-wide association study identifies single nucleotide polymorphisms associated with time-to-metastasis in colorectal cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368959/
https://www.ncbi.nlm.nih.gov/pubmed/30738427
http://dx.doi.org/10.1186/s12885-019-5346-5
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