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Comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer

BACKGROUND: Heat Shock Proteins (HSPs), a family of genes with key roles in proteostasis, have been extensively associated with cancer behaviour. However, the HSP family is quite large and many of its members have not been investigated in breast cancer (BRCA), particularly in relation with the curre...

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Autores principales: Zoppino, Felipe C. M., Guerrero-Gimenez, Martin E., Castro, Gisela N., Ciocca, Daniel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022707/
https://www.ncbi.nlm.nih.gov/pubmed/29954368
http://dx.doi.org/10.1186/s12885-018-4621-1
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author Zoppino, Felipe C. M.
Guerrero-Gimenez, Martin E.
Castro, Gisela N.
Ciocca, Daniel R.
author_facet Zoppino, Felipe C. M.
Guerrero-Gimenez, Martin E.
Castro, Gisela N.
Ciocca, Daniel R.
author_sort Zoppino, Felipe C. M.
collection PubMed
description BACKGROUND: Heat Shock Proteins (HSPs), a family of genes with key roles in proteostasis, have been extensively associated with cancer behaviour. However, the HSP family is quite large and many of its members have not been investigated in breast cancer (BRCA), particularly in relation with the current molecular BRCA classification. In this work, we performed a comprehensive transcriptomic study of the HSP gene family in BRCA patients from both The Cancer Genome Atlas (TCGA) and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohorts discriminating the BRCA intrinsic molecular subtypes. METHODS: We examined gene expression levels of 1097 BRCA tissue samples retrieved from TCGA and 1981 samples of METABRIC, focusing mainly on the HSP family (95 genes). Data were stratified according to the PAM50 gene expression (Luminal A, Luminal B, HER2, Basal, and Normal-like). Transcriptomic analyses include several statistical approaches: differential gene expression, hierarchical clustering and survival analysis. RESULTS: Of the 20,531 analysed genes we found that in BRCA almost 30% presented deregulated expression (19% upregulated and 10% downregulated), while of the HSP family 25% appeared deregulated (14% upregulated and 11% downregulated) (|fold change| > 2 comparing BRCA with normal breast tissues). The study revealed the existence of shared HSP genes deregulated in all subtypes of BRCA while other HSPs were deregulated in specific subtypes. Many members of the Chaperonin subfamily were found upregulated while three members (BBS10, BBS12 and CCTB6) were found downregulated. HSPC subfamily had moderate increments of transcripts levels. Various genes of the HSP70 subfamily were upregulated; meanwhile, HSPA12A and HSPA12B appeared strongly downregulated. The strongest downregulation was observed in several HSPB members except for HSPB1. DNAJ members showed heterogeneous expression pattern. We found that 23 HSP genes correlated with overall survival and three HSP-based transcriptional profiles with impact on disease outcome were recognized. CONCLUSIONS: We identified shared and specific HSP genes deregulated in BRCA subtypes. This study allowed the recognition of HSP genes not previously associated with BRCA and/or any cancer type, and the identification of three clinically relevant clusters based on HSPs expression patterns with influence on overall survival. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4621-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-60227072018-07-09 Comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer Zoppino, Felipe C. M. Guerrero-Gimenez, Martin E. Castro, Gisela N. Ciocca, Daniel R. BMC Cancer Research Article BACKGROUND: Heat Shock Proteins (HSPs), a family of genes with key roles in proteostasis, have been extensively associated with cancer behaviour. However, the HSP family is quite large and many of its members have not been investigated in breast cancer (BRCA), particularly in relation with the current molecular BRCA classification. In this work, we performed a comprehensive transcriptomic study of the HSP gene family in BRCA patients from both The Cancer Genome Atlas (TCGA) and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohorts discriminating the BRCA intrinsic molecular subtypes. METHODS: We examined gene expression levels of 1097 BRCA tissue samples retrieved from TCGA and 1981 samples of METABRIC, focusing mainly on the HSP family (95 genes). Data were stratified according to the PAM50 gene expression (Luminal A, Luminal B, HER2, Basal, and Normal-like). Transcriptomic analyses include several statistical approaches: differential gene expression, hierarchical clustering and survival analysis. RESULTS: Of the 20,531 analysed genes we found that in BRCA almost 30% presented deregulated expression (19% upregulated and 10% downregulated), while of the HSP family 25% appeared deregulated (14% upregulated and 11% downregulated) (|fold change| > 2 comparing BRCA with normal breast tissues). The study revealed the existence of shared HSP genes deregulated in all subtypes of BRCA while other HSPs were deregulated in specific subtypes. Many members of the Chaperonin subfamily were found upregulated while three members (BBS10, BBS12 and CCTB6) were found downregulated. HSPC subfamily had moderate increments of transcripts levels. Various genes of the HSP70 subfamily were upregulated; meanwhile, HSPA12A and HSPA12B appeared strongly downregulated. The strongest downregulation was observed in several HSPB members except for HSPB1. DNAJ members showed heterogeneous expression pattern. We found that 23 HSP genes correlated with overall survival and three HSP-based transcriptional profiles with impact on disease outcome were recognized. CONCLUSIONS: We identified shared and specific HSP genes deregulated in BRCA subtypes. This study allowed the recognition of HSP genes not previously associated with BRCA and/or any cancer type, and the identification of three clinically relevant clusters based on HSPs expression patterns with influence on overall survival. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-4621-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-28 /pmc/articles/PMC6022707/ /pubmed/29954368 http://dx.doi.org/10.1186/s12885-018-4621-1 Text en © The Author(s). 2018 Open Access This 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
Zoppino, Felipe C. M.
Guerrero-Gimenez, Martin E.
Castro, Gisela N.
Ciocca, Daniel R.
Comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer
title Comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer
title_full Comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer
title_fullStr Comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer
title_full_unstemmed Comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer
title_short Comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer
title_sort comprehensive transcriptomic analysis of heat shock proteins in the molecular subtypes of human breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022707/
https://www.ncbi.nlm.nih.gov/pubmed/29954368
http://dx.doi.org/10.1186/s12885-018-4621-1
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