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DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer

BACKGROUND: Control of DNA damage is frequently deregulated in solid tumors. Upregulation of genes within this process can be indicative of a more aggressive phenotype and linked with worse outcome. In the present article we identify DNA damage related genes associated with worse outcome in breast c...

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Autores principales: Nieto-Jiménez, Cristina, Alcaraz-Sanabria, Ana, Páez, Raquel, Pérez-Peña, Javier, Corrales-Sánchez, Verónica, Pandiella, Atanasio, Ocaña, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609884/
https://www.ncbi.nlm.nih.gov/pubmed/28968952
http://dx.doi.org/10.18632/oncotarget.10886
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author Nieto-Jiménez, Cristina
Alcaraz-Sanabria, Ana
Páez, Raquel
Pérez-Peña, Javier
Corrales-Sánchez, Verónica
Pandiella, Atanasio
Ocaña, Alberto
author_facet Nieto-Jiménez, Cristina
Alcaraz-Sanabria, Ana
Páez, Raquel
Pérez-Peña, Javier
Corrales-Sánchez, Verónica
Pandiella, Atanasio
Ocaña, Alberto
author_sort Nieto-Jiménez, Cristina
collection PubMed
description BACKGROUND: Control of DNA damage is frequently deregulated in solid tumors. Upregulation of genes within this process can be indicative of a more aggressive phenotype and linked with worse outcome. In the present article we identify DNA damage related genes associated with worse outcome in breast cancer. RESULTS: 2286 genes were differentially expressed between normal breast tissue and basal-like tumors, and 62 included in the DNA metabolic process function. Expression of RAD51, GINS1, TRIP13 and MCM2 were associated with detrimental relapse free survival (RFS) and overall survival (OS) in luminal tumors. The combined analyses of TRIP13+RAD51+MCM2 showed the worse association for RFS (HR 2.25 (1.51-3.35) log rank p= 4.1e-05) and TRIP13+RAD51 for OS (HR 5.13 (0.6-44.17) log rank p=0.098) in ER+/HER2- tumors. TRIP13 is amplified in 3.1% of breast cancers. METHODS: Transcriptomic analyses using public datasets evaluating expression values between normal breast tissue and TNBC identified upregulated genes. Genes included in the DNA metabolic process were selected and confirmed using data contained at oncomine (www.oncomine.org). Evaluation of the selected genes with RFS and OS was performed using the KM Plotter Online Tool (http://www.kmplot.com). Evaluation of molecular alterations was performed using cBioportal (www.cbioportal.org). CONCLUSIONS: Expression of DNA metabolic related genes RAD51, GINS1, TRIP13 and MCM2 are associated with poor outcome. Combinations of some of these genes are linked to poor RFS or OS in luminal A, B and ER+HER2- tumors. Evaluation of its predictive capacity in prospective studies is required.
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spelling pubmed-56098842017-09-29 DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer Nieto-Jiménez, Cristina Alcaraz-Sanabria, Ana Páez, Raquel Pérez-Peña, Javier Corrales-Sánchez, Verónica Pandiella, Atanasio Ocaña, Alberto Oncotarget Research Paper BACKGROUND: Control of DNA damage is frequently deregulated in solid tumors. Upregulation of genes within this process can be indicative of a more aggressive phenotype and linked with worse outcome. In the present article we identify DNA damage related genes associated with worse outcome in breast cancer. RESULTS: 2286 genes were differentially expressed between normal breast tissue and basal-like tumors, and 62 included in the DNA metabolic process function. Expression of RAD51, GINS1, TRIP13 and MCM2 were associated with detrimental relapse free survival (RFS) and overall survival (OS) in luminal tumors. The combined analyses of TRIP13+RAD51+MCM2 showed the worse association for RFS (HR 2.25 (1.51-3.35) log rank p= 4.1e-05) and TRIP13+RAD51 for OS (HR 5.13 (0.6-44.17) log rank p=0.098) in ER+/HER2- tumors. TRIP13 is amplified in 3.1% of breast cancers. METHODS: Transcriptomic analyses using public datasets evaluating expression values between normal breast tissue and TNBC identified upregulated genes. Genes included in the DNA metabolic process were selected and confirmed using data contained at oncomine (www.oncomine.org). Evaluation of the selected genes with RFS and OS was performed using the KM Plotter Online Tool (http://www.kmplot.com). Evaluation of molecular alterations was performed using cBioportal (www.cbioportal.org). CONCLUSIONS: Expression of DNA metabolic related genes RAD51, GINS1, TRIP13 and MCM2 are associated with poor outcome. Combinations of some of these genes are linked to poor RFS or OS in luminal A, B and ER+HER2- tumors. Evaluation of its predictive capacity in prospective studies is required. Impact Journals LLC 2016-07-28 /pmc/articles/PMC5609884/ /pubmed/28968952 http://dx.doi.org/10.18632/oncotarget.10886 Text en Copyright: © 2017 Nieto-Jiménez et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Nieto-Jiménez, Cristina
Alcaraz-Sanabria, Ana
Páez, Raquel
Pérez-Peña, Javier
Corrales-Sánchez, Verónica
Pandiella, Atanasio
Ocaña, Alberto
DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer
title DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer
title_full DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer
title_fullStr DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer
title_full_unstemmed DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer
title_short DNA-damage related genes and clinical outcome in hormone receptor positive breast cancer
title_sort dna-damage related genes and clinical outcome in hormone receptor positive breast cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5609884/
https://www.ncbi.nlm.nih.gov/pubmed/28968952
http://dx.doi.org/10.18632/oncotarget.10886
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