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Integrated analysis identified prognostic microRNAs in breast cancer

BACKGROUND: MicroRNAs (miRNAs) play pivotal roles in the development and progression of breast cancer (BC). In this study, we attempted to identify miRNAs associated with BC prognosis and progression via integrated analysis. METHODS: We first screened 83 differentially expressed miRNAs (DEMs) in 124...

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Autores principales: Shang, Cong, Chen, Qingyan, Zu, Fuqiang, Ren, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652801/
https://www.ncbi.nlm.nih.gov/pubmed/36371182
http://dx.doi.org/10.1186/s12885-022-10242-x
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author Shang, Cong
Chen, Qingyan
Zu, Fuqiang
Ren, Weidong
author_facet Shang, Cong
Chen, Qingyan
Zu, Fuqiang
Ren, Weidong
author_sort Shang, Cong
collection PubMed
description BACKGROUND: MicroRNAs (miRNAs) play pivotal roles in the development and progression of breast cancer (BC). In this study, we attempted to identify miRNAs associated with BC prognosis and progression via integrated analysis. METHODS: We first screened 83 differentially expressed miRNAs (DEMs) in 1249 BC samples and 151 normal samples. We then validated their roles in expression and prognosis of BC, identified two survival-related DEMs, and established a risk model. The prediction efficiency was assessed in both the training and validation groups. Tissue and cell experiments were conducted to verify the regulatory effects of miR-127 in BC. RESULTS: The ROC curve indicated good prediction ability with 1-, 3-, and 5-year survival rates of 0.73, 0.72, and 0.72, respectively. Moreover, hsa-miR-127 was found to be an independent prognostic factor of BC. Functional analyses revealed that it is involved in various cancer pathways such as the PI3K-Akt and p53 pathways. miR-127 expression was down-regulated in both BC tissues and cell lines. The knockdown of miR-127 substantially increased, whereas overexpression decreased BC cell proliferation, invasion, and migration. This effect of miR-127 was consistent with its tumorigenic ability and tumor volume in nude mice. CONCLUSIONS: These findings indicate that low expression of miR-127 contributes to BC migration, invasion, and tumorigenesis and that it can be a therapeutic target and prognostic biomarker for BC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10242-x.
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spelling pubmed-96528012022-11-15 Integrated analysis identified prognostic microRNAs in breast cancer Shang, Cong Chen, Qingyan Zu, Fuqiang Ren, Weidong BMC Cancer Research BACKGROUND: MicroRNAs (miRNAs) play pivotal roles in the development and progression of breast cancer (BC). In this study, we attempted to identify miRNAs associated with BC prognosis and progression via integrated analysis. METHODS: We first screened 83 differentially expressed miRNAs (DEMs) in 1249 BC samples and 151 normal samples. We then validated their roles in expression and prognosis of BC, identified two survival-related DEMs, and established a risk model. The prediction efficiency was assessed in both the training and validation groups. Tissue and cell experiments were conducted to verify the regulatory effects of miR-127 in BC. RESULTS: The ROC curve indicated good prediction ability with 1-, 3-, and 5-year survival rates of 0.73, 0.72, and 0.72, respectively. Moreover, hsa-miR-127 was found to be an independent prognostic factor of BC. Functional analyses revealed that it is involved in various cancer pathways such as the PI3K-Akt and p53 pathways. miR-127 expression was down-regulated in both BC tissues and cell lines. The knockdown of miR-127 substantially increased, whereas overexpression decreased BC cell proliferation, invasion, and migration. This effect of miR-127 was consistent with its tumorigenic ability and tumor volume in nude mice. CONCLUSIONS: These findings indicate that low expression of miR-127 contributes to BC migration, invasion, and tumorigenesis and that it can be a therapeutic target and prognostic biomarker for BC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10242-x. BioMed Central 2022-11-12 /pmc/articles/PMC9652801/ /pubmed/36371182 http://dx.doi.org/10.1186/s12885-022-10242-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shang, Cong
Chen, Qingyan
Zu, Fuqiang
Ren, Weidong
Integrated analysis identified prognostic microRNAs in breast cancer
title Integrated analysis identified prognostic microRNAs in breast cancer
title_full Integrated analysis identified prognostic microRNAs in breast cancer
title_fullStr Integrated analysis identified prognostic microRNAs in breast cancer
title_full_unstemmed Integrated analysis identified prognostic microRNAs in breast cancer
title_short Integrated analysis identified prognostic microRNAs in breast cancer
title_sort integrated analysis identified prognostic micrornas in breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652801/
https://www.ncbi.nlm.nih.gov/pubmed/36371182
http://dx.doi.org/10.1186/s12885-022-10242-x
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