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Expression Profiling of Rectal Tumors Defines Response to Neoadjuvant Treatment Related Genes
To date, no effective method exists that predicts the response to preoperative chemoradiation (CRT) in locally advanced rectal cancer (LARC). Nevertheless, identification of patients who have a higher likelihood of responding to preoperative CRT could be crucial in decreasing treatment morbidity and...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224421/ https://www.ncbi.nlm.nih.gov/pubmed/25380052 http://dx.doi.org/10.1371/journal.pone.0112189 |
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author | Palma, Pablo Cano, Carlos Conde-Muiño, Raquel Comino, Ana Bueno, Pablo Ferrón, J. Antonio Cuadros, Marta |
author_facet | Palma, Pablo Cano, Carlos Conde-Muiño, Raquel Comino, Ana Bueno, Pablo Ferrón, J. Antonio Cuadros, Marta |
author_sort | Palma, Pablo |
collection | PubMed |
description | To date, no effective method exists that predicts the response to preoperative chemoradiation (CRT) in locally advanced rectal cancer (LARC). Nevertheless, identification of patients who have a higher likelihood of responding to preoperative CRT could be crucial in decreasing treatment morbidity and avoiding expensive and time-consuming treatments. The aim of this study was to identify signatures or molecular markers related to response to pre-operative CRT in LARC. We analyzed the gene expression profiles of 26 pre-treatment biopsies of LARC (10 responders and 16 non-responders) without metastasis using Human WG CodeLink microarray platform. Two hundred and fifty seven genes were differentially over-expressed in the responder patient subgroup. Ingenuity Pathway Analysis revealed a significant ratio of differentially expressed genes related to cancer, cellular growth and proliferation pathways, and c-Myc network. We demonstrated that high Gng4, c-Myc, Pola1, and Rrm1 mRNA expression levels was a significant prognostic factor for response to treatment in LARC patients (p<0.05). Using this gene set, we were able to establish a new model for predicting the response to CRT in rectal cancer with a sensitivity of 60% and 100% specificity. Our results reflect the value of gene expression profiling to gain insight about the molecular pathways involved in the response to treatment of LARC patients. These findings could be clinically relevant and support the use of mRNA levels when aiming to identify patients who respond to CRT therapy. |
format | Online Article Text |
id | pubmed-4224421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42244212014-11-18 Expression Profiling of Rectal Tumors Defines Response to Neoadjuvant Treatment Related Genes Palma, Pablo Cano, Carlos Conde-Muiño, Raquel Comino, Ana Bueno, Pablo Ferrón, J. Antonio Cuadros, Marta PLoS One Research Article To date, no effective method exists that predicts the response to preoperative chemoradiation (CRT) in locally advanced rectal cancer (LARC). Nevertheless, identification of patients who have a higher likelihood of responding to preoperative CRT could be crucial in decreasing treatment morbidity and avoiding expensive and time-consuming treatments. The aim of this study was to identify signatures or molecular markers related to response to pre-operative CRT in LARC. We analyzed the gene expression profiles of 26 pre-treatment biopsies of LARC (10 responders and 16 non-responders) without metastasis using Human WG CodeLink microarray platform. Two hundred and fifty seven genes were differentially over-expressed in the responder patient subgroup. Ingenuity Pathway Analysis revealed a significant ratio of differentially expressed genes related to cancer, cellular growth and proliferation pathways, and c-Myc network. We demonstrated that high Gng4, c-Myc, Pola1, and Rrm1 mRNA expression levels was a significant prognostic factor for response to treatment in LARC patients (p<0.05). Using this gene set, we were able to establish a new model for predicting the response to CRT in rectal cancer with a sensitivity of 60% and 100% specificity. Our results reflect the value of gene expression profiling to gain insight about the molecular pathways involved in the response to treatment of LARC patients. These findings could be clinically relevant and support the use of mRNA levels when aiming to identify patients who respond to CRT therapy. Public Library of Science 2014-11-07 /pmc/articles/PMC4224421/ /pubmed/25380052 http://dx.doi.org/10.1371/journal.pone.0112189 Text en © 2014 Palma et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Palma, Pablo Cano, Carlos Conde-Muiño, Raquel Comino, Ana Bueno, Pablo Ferrón, J. Antonio Cuadros, Marta Expression Profiling of Rectal Tumors Defines Response to Neoadjuvant Treatment Related Genes |
title | Expression Profiling of Rectal Tumors Defines Response to Neoadjuvant Treatment Related Genes |
title_full | Expression Profiling of Rectal Tumors Defines Response to Neoadjuvant Treatment Related Genes |
title_fullStr | Expression Profiling of Rectal Tumors Defines Response to Neoadjuvant Treatment Related Genes |
title_full_unstemmed | Expression Profiling of Rectal Tumors Defines Response to Neoadjuvant Treatment Related Genes |
title_short | Expression Profiling of Rectal Tumors Defines Response to Neoadjuvant Treatment Related Genes |
title_sort | expression profiling of rectal tumors defines response to neoadjuvant treatment related genes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4224421/ https://www.ncbi.nlm.nih.gov/pubmed/25380052 http://dx.doi.org/10.1371/journal.pone.0112189 |
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