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Transcriptional Shift Identifies a Set of Genes Driving Breast Cancer Chemoresistance

BACKGROUND: Distant recurrences after antineoplastic treatment remain a serious problem for breast cancer clinical management, which threats patients’ life. Systemic therapy is administered to eradicate cancer cells from the organism, both at the site of the primary tumor and at any other potential...

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Autores principales: Vera-Ramirez, Laura, Sanchez-Rovira, Pedro, Ramirez-Tortosa, Cesar L., Quiles, Jose L., Ramirez-Tortosa, MCarmen, Lorente, Jose A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542325/
https://www.ncbi.nlm.nih.gov/pubmed/23326553
http://dx.doi.org/10.1371/journal.pone.0053983
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author Vera-Ramirez, Laura
Sanchez-Rovira, Pedro
Ramirez-Tortosa, Cesar L.
Quiles, Jose L.
Ramirez-Tortosa, MCarmen
Lorente, Jose A.
author_facet Vera-Ramirez, Laura
Sanchez-Rovira, Pedro
Ramirez-Tortosa, Cesar L.
Quiles, Jose L.
Ramirez-Tortosa, MCarmen
Lorente, Jose A.
author_sort Vera-Ramirez, Laura
collection PubMed
description BACKGROUND: Distant recurrences after antineoplastic treatment remain a serious problem for breast cancer clinical management, which threats patients’ life. Systemic therapy is administered to eradicate cancer cells from the organism, both at the site of the primary tumor and at any other potential location. Despite this intervention, a significant proportion of breast cancer patients relapse even many years after their primary tumor has been successfully treated according to current clinical standards, evidencing the existence of a chemoresistant cell subpopulation originating from the primary tumor. METHODS/FINDINGS: To identify key molecules and signaling pathways which drive breast cancer chemoresistance we performed gene expression analysis before and after anthracycline and taxane-based chemotherapy and compared the results between different histopathological response groups (good-, mid- and bad-response), established according to the Miller & Payne grading system. Two cohorts of 33 and 73 breast cancer patients receiving neoadjuvant chemotherapy were recruited for whole-genome expression analysis and validation assay, respectively. Identified genes were subjected to a bioinformatic analysis in order to ascertain the molecular function of the proteins they encode and the signaling in which they participate. High throughput technologies identified 65 gene sequences which were over-expressed in all groups (P ≤ 0·05 Bonferroni test). Notably we found that, after chemotherapy, a significant proportion of these genes were over-expressed in the good responders group, making their tumors indistinguishable from those of the bad responders in their expression profile (P ≤ 0.05 Benjamini-Hochgerg`s method). CONCLUSIONS: These data identify a set of key molecular pathways selectively up-regulated in post-chemotherapy cancer cells, which may become appropriate targets for the development of future directed therapies against breast cancer.
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spelling pubmed-35423252013-01-16 Transcriptional Shift Identifies a Set of Genes Driving Breast Cancer Chemoresistance Vera-Ramirez, Laura Sanchez-Rovira, Pedro Ramirez-Tortosa, Cesar L. Quiles, Jose L. Ramirez-Tortosa, MCarmen Lorente, Jose A. PLoS One Research Article BACKGROUND: Distant recurrences after antineoplastic treatment remain a serious problem for breast cancer clinical management, which threats patients’ life. Systemic therapy is administered to eradicate cancer cells from the organism, both at the site of the primary tumor and at any other potential location. Despite this intervention, a significant proportion of breast cancer patients relapse even many years after their primary tumor has been successfully treated according to current clinical standards, evidencing the existence of a chemoresistant cell subpopulation originating from the primary tumor. METHODS/FINDINGS: To identify key molecules and signaling pathways which drive breast cancer chemoresistance we performed gene expression analysis before and after anthracycline and taxane-based chemotherapy and compared the results between different histopathological response groups (good-, mid- and bad-response), established according to the Miller & Payne grading system. Two cohorts of 33 and 73 breast cancer patients receiving neoadjuvant chemotherapy were recruited for whole-genome expression analysis and validation assay, respectively. Identified genes were subjected to a bioinformatic analysis in order to ascertain the molecular function of the proteins they encode and the signaling in which they participate. High throughput technologies identified 65 gene sequences which were over-expressed in all groups (P ≤ 0·05 Bonferroni test). Notably we found that, after chemotherapy, a significant proportion of these genes were over-expressed in the good responders group, making their tumors indistinguishable from those of the bad responders in their expression profile (P ≤ 0.05 Benjamini-Hochgerg`s method). CONCLUSIONS: These data identify a set of key molecular pathways selectively up-regulated in post-chemotherapy cancer cells, which may become appropriate targets for the development of future directed therapies against breast cancer. Public Library of Science 2013-01-10 /pmc/articles/PMC3542325/ /pubmed/23326553 http://dx.doi.org/10.1371/journal.pone.0053983 Text en © 2013 Vera-Ramirez etal 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
Vera-Ramirez, Laura
Sanchez-Rovira, Pedro
Ramirez-Tortosa, Cesar L.
Quiles, Jose L.
Ramirez-Tortosa, MCarmen
Lorente, Jose A.
Transcriptional Shift Identifies a Set of Genes Driving Breast Cancer Chemoresistance
title Transcriptional Shift Identifies a Set of Genes Driving Breast Cancer Chemoresistance
title_full Transcriptional Shift Identifies a Set of Genes Driving Breast Cancer Chemoresistance
title_fullStr Transcriptional Shift Identifies a Set of Genes Driving Breast Cancer Chemoresistance
title_full_unstemmed Transcriptional Shift Identifies a Set of Genes Driving Breast Cancer Chemoresistance
title_short Transcriptional Shift Identifies a Set of Genes Driving Breast Cancer Chemoresistance
title_sort transcriptional shift identifies a set of genes driving breast cancer chemoresistance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542325/
https://www.ncbi.nlm.nih.gov/pubmed/23326553
http://dx.doi.org/10.1371/journal.pone.0053983
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