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Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling
BACKGROUND: Identification of biomarkers associated with the prognosis of different cancer subtypes is critical to achieve better therapeutic assistance. In colorectal cancer (CRC) the discovery of stable and consistent survival markers remains a challenge due to the high heterogeneity of this class...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288855/ https://www.ncbi.nlm.nih.gov/pubmed/30537927 http://dx.doi.org/10.1186/s12864-018-5193-9 |
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author | Martinez-Romero, Jorge Bueno-Fortes, Santiago Martín-Merino, Manuel Ramirez de Molina, Ana De Las Rivas, Javier |
author_facet | Martinez-Romero, Jorge Bueno-Fortes, Santiago Martín-Merino, Manuel Ramirez de Molina, Ana De Las Rivas, Javier |
author_sort | Martinez-Romero, Jorge |
collection | PubMed |
description | BACKGROUND: Identification of biomarkers associated with the prognosis of different cancer subtypes is critical to achieve better therapeutic assistance. In colorectal cancer (CRC) the discovery of stable and consistent survival markers remains a challenge due to the high heterogeneity of this class of tumors. In this work, we identified a new set of gene markers for CRC associated to prognosis and risk using a large unified cohort of patients with transcriptomic profiles and survival information. RESULTS: We built an integrated dataset with 1273 human colorectal samples, which provides a homogeneous robust framework to analyse genome-wide expression and survival data. Using this dataset we identified two sets of genes that are candidate prognostic markers for CRC in stages III and IV, showing either up-regulation correlated with poor prognosis or up-regulation correlated with good prognosis. The top 10 up-regulated genes found as survival markers of poor prognosis (i.e. low survival) were: DCBLD2, PTPN14, LAMP5, TM4SF1, NPR3, LEMD1, LCA5, CSGALNACT2, SLC2A3 and GADD45B. The stability and robustness of the gene survival markers was assessed by cross-validation, and the best-ranked genes were also validated with two external independent cohorts: one of microarrays with 482 samples; another of RNA-seq with 269 samples. Up-regulation of the top genes was also proved in a comparison with normal colorectal tissue samples. Finally, the set of top 100 genes that showed overexpression correlated with low survival was used to build a CRC risk predictor applying a multivariate Cox proportional hazards regression analysis. This risk predictor yielded an optimal separation of the individual patients of the cohort according to their survival, with a p-value of 8.25e-14 and Hazard Ratio 2.14 (95% CI: 1.75–2.61). CONCLUSIONS: The results presented in this work provide a solid rationale for the prognostic utility of a new set of genes in CRC, demonstrating their potential to predict colorectal tumor progression and evolution towards poor survival stages. Our study does not provide a fixed gene signature for prognosis and risk prediction, but instead proposes a robust set of genes ranked according to their predictive power that can be selected for additional tests with other CRC clinical cohorts. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5193-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6288855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62888552018-12-14 Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling Martinez-Romero, Jorge Bueno-Fortes, Santiago Martín-Merino, Manuel Ramirez de Molina, Ana De Las Rivas, Javier BMC Genomics Research BACKGROUND: Identification of biomarkers associated with the prognosis of different cancer subtypes is critical to achieve better therapeutic assistance. In colorectal cancer (CRC) the discovery of stable and consistent survival markers remains a challenge due to the high heterogeneity of this class of tumors. In this work, we identified a new set of gene markers for CRC associated to prognosis and risk using a large unified cohort of patients with transcriptomic profiles and survival information. RESULTS: We built an integrated dataset with 1273 human colorectal samples, which provides a homogeneous robust framework to analyse genome-wide expression and survival data. Using this dataset we identified two sets of genes that are candidate prognostic markers for CRC in stages III and IV, showing either up-regulation correlated with poor prognosis or up-regulation correlated with good prognosis. The top 10 up-regulated genes found as survival markers of poor prognosis (i.e. low survival) were: DCBLD2, PTPN14, LAMP5, TM4SF1, NPR3, LEMD1, LCA5, CSGALNACT2, SLC2A3 and GADD45B. The stability and robustness of the gene survival markers was assessed by cross-validation, and the best-ranked genes were also validated with two external independent cohorts: one of microarrays with 482 samples; another of RNA-seq with 269 samples. Up-regulation of the top genes was also proved in a comparison with normal colorectal tissue samples. Finally, the set of top 100 genes that showed overexpression correlated with low survival was used to build a CRC risk predictor applying a multivariate Cox proportional hazards regression analysis. This risk predictor yielded an optimal separation of the individual patients of the cohort according to their survival, with a p-value of 8.25e-14 and Hazard Ratio 2.14 (95% CI: 1.75–2.61). CONCLUSIONS: The results presented in this work provide a solid rationale for the prognostic utility of a new set of genes in CRC, demonstrating their potential to predict colorectal tumor progression and evolution towards poor survival stages. Our study does not provide a fixed gene signature for prognosis and risk prediction, but instead proposes a robust set of genes ranked according to their predictive power that can be selected for additional tests with other CRC clinical cohorts. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5193-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-11 /pmc/articles/PMC6288855/ /pubmed/30537927 http://dx.doi.org/10.1186/s12864-018-5193-9 Text en © The Author(s). 2018 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 Martinez-Romero, Jorge Bueno-Fortes, Santiago Martín-Merino, Manuel Ramirez de Molina, Ana De Las Rivas, Javier Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling |
title | Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling |
title_full | Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling |
title_fullStr | Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling |
title_full_unstemmed | Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling |
title_short | Survival marker genes of colorectal cancer derived from consistent transcriptomic profiling |
title_sort | survival marker genes of colorectal cancer derived from consistent transcriptomic profiling |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288855/ https://www.ncbi.nlm.nih.gov/pubmed/30537927 http://dx.doi.org/10.1186/s12864-018-5193-9 |
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