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miRNA Expression Analysis: Cell Lines HCC1500 and HCC1937 as Models for Breast Cancer in Young Women and the miR-23a as a Poor Prognostic Biomarker

Purpose: The study of breast cancer nearly always involves patients close to menopause or older. Therefore, young patients are mostly underrepresented. Our aim in this study was to demonstrate biological differences in breast cancer of young people using as a model available cell lines derived from...

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Autores principales: Oltra, Sara S, Peña-Chilet, Maria, Martinez, Maria T, Tormo, Eduardo, Cejalvo, Juan Miguel, Climent, Joan, Eroles, Pilar, Lluch, Ana, Ribas, Gloria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716059/
https://www.ncbi.nlm.nih.gov/pubmed/33311984
http://dx.doi.org/10.1177/1178223420977845
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author Oltra, Sara S
Peña-Chilet, Maria
Martinez, Maria T
Tormo, Eduardo
Cejalvo, Juan Miguel
Climent, Joan
Eroles, Pilar
Lluch, Ana
Ribas, Gloria
author_facet Oltra, Sara S
Peña-Chilet, Maria
Martinez, Maria T
Tormo, Eduardo
Cejalvo, Juan Miguel
Climent, Joan
Eroles, Pilar
Lluch, Ana
Ribas, Gloria
author_sort Oltra, Sara S
collection PubMed
description Purpose: The study of breast cancer nearly always involves patients close to menopause or older. Therefore, young patients are mostly underrepresented. Our aim in this study was to demonstrate biological differences in breast cancer of young people using as a model available cell lines derived from people with breast cancer younger than 35 years. Methods: Global miRNA expression was analyzed in breast cancer cells from young (HCC1500, HCC1937) and old patients (MCF-7, MDA-MB-231, HCC1806, and MDA-MB-468). In addition, it was compared with same type of results from patients. Results: We observed a differential profile for 155 miRNAs between young and older cell lines. We identified a set of 24 miRNA associated with aggressiveness that were regulating pluripotency of stem cell-related pathways. Combining the miRNA expression data from cell lines and breast cancer patients, 132 miRNAs were differently expressed between young and old samples, most of them previously found in cell lines. MiR-23a-downregulation was also associated with poor survival in young patients. Conclusions: Our results suggest that HCC1500 and HCC1937 cell lines could be suitable cellular models for breast cancer affecting young women. The miR-23a-downregulation could have a potential role as a poor prognosis biomarker in this age group.
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spelling pubmed-77160592020-12-10 miRNA Expression Analysis: Cell Lines HCC1500 and HCC1937 as Models for Breast Cancer in Young Women and the miR-23a as a Poor Prognostic Biomarker Oltra, Sara S Peña-Chilet, Maria Martinez, Maria T Tormo, Eduardo Cejalvo, Juan Miguel Climent, Joan Eroles, Pilar Lluch, Ana Ribas, Gloria Breast Cancer (Auckl) Original Research Purpose: The study of breast cancer nearly always involves patients close to menopause or older. Therefore, young patients are mostly underrepresented. Our aim in this study was to demonstrate biological differences in breast cancer of young people using as a model available cell lines derived from people with breast cancer younger than 35 years. Methods: Global miRNA expression was analyzed in breast cancer cells from young (HCC1500, HCC1937) and old patients (MCF-7, MDA-MB-231, HCC1806, and MDA-MB-468). In addition, it was compared with same type of results from patients. Results: We observed a differential profile for 155 miRNAs between young and older cell lines. We identified a set of 24 miRNA associated with aggressiveness that were regulating pluripotency of stem cell-related pathways. Combining the miRNA expression data from cell lines and breast cancer patients, 132 miRNAs were differently expressed between young and old samples, most of them previously found in cell lines. MiR-23a-downregulation was also associated with poor survival in young patients. Conclusions: Our results suggest that HCC1500 and HCC1937 cell lines could be suitable cellular models for breast cancer affecting young women. The miR-23a-downregulation could have a potential role as a poor prognosis biomarker in this age group. SAGE Publications 2020-12-02 /pmc/articles/PMC7716059/ /pubmed/33311984 http://dx.doi.org/10.1177/1178223420977845 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Oltra, Sara S
Peña-Chilet, Maria
Martinez, Maria T
Tormo, Eduardo
Cejalvo, Juan Miguel
Climent, Joan
Eroles, Pilar
Lluch, Ana
Ribas, Gloria
miRNA Expression Analysis: Cell Lines HCC1500 and HCC1937 as Models for Breast Cancer in Young Women and the miR-23a as a Poor Prognostic Biomarker
title miRNA Expression Analysis: Cell Lines HCC1500 and HCC1937 as Models for Breast Cancer in Young Women and the miR-23a as a Poor Prognostic Biomarker
title_full miRNA Expression Analysis: Cell Lines HCC1500 and HCC1937 as Models for Breast Cancer in Young Women and the miR-23a as a Poor Prognostic Biomarker
title_fullStr miRNA Expression Analysis: Cell Lines HCC1500 and HCC1937 as Models for Breast Cancer in Young Women and the miR-23a as a Poor Prognostic Biomarker
title_full_unstemmed miRNA Expression Analysis: Cell Lines HCC1500 and HCC1937 as Models for Breast Cancer in Young Women and the miR-23a as a Poor Prognostic Biomarker
title_short miRNA Expression Analysis: Cell Lines HCC1500 and HCC1937 as Models for Breast Cancer in Young Women and the miR-23a as a Poor Prognostic Biomarker
title_sort mirna expression analysis: cell lines hcc1500 and hcc1937 as models for breast cancer in young women and the mir-23a as a poor prognostic biomarker
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7716059/
https://www.ncbi.nlm.nih.gov/pubmed/33311984
http://dx.doi.org/10.1177/1178223420977845
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