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CD24-associated ceRNA network reveals prognostic biomarkers in breast carcinoma
Breast cancer is one of the most common cancer types which is described as the leading cause of cancer death in women. After competitive endogenous RNA (ceRNA) hypothesis was proposed, this triple regulatory network has been observed in various cancers, and increasing evidences reveal that ceRNA net...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992383/ https://www.ncbi.nlm.nih.gov/pubmed/36882451 http://dx.doi.org/10.1038/s41598-022-25072-x |
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author | Yu, Bin Zhao, Ziyue Chen, Zhuoyuan Xiang, Cheng Wang, Pingxiao Xiao, Bo Xia, Yu Li, Aoyu Xiao, Tao Li, Hui |
author_facet | Yu, Bin Zhao, Ziyue Chen, Zhuoyuan Xiang, Cheng Wang, Pingxiao Xiao, Bo Xia, Yu Li, Aoyu Xiao, Tao Li, Hui |
author_sort | Yu, Bin |
collection | PubMed |
description | Breast cancer is one of the most common cancer types which is described as the leading cause of cancer death in women. After competitive endogenous RNA (ceRNA) hypothesis was proposed, this triple regulatory network has been observed in various cancers, and increasing evidences reveal that ceRNA network plays a significant role in the migration, invasion, proliferation of cancer cells. In the current study, our target is to construct a CD24-associated ceRNA network, and to further identify key prognostic biomarkers in breast cancer. Using the transcriptom profiles from TCGA database, we performed a comprehensive analysis between CD24(high) tumor samples and CD24(low) tumor samples, and identified 132 DElncRNAs, 602 DEmRNAs and 26 DEmiRNAs. Through comprehensive analysis, RP1-228H13.5/miR-135a-5p/BEND3 and SIM2 were identified as key CD24-associated biomarkers, which exhibited highly significance with overall survival, immune microenvironment as well as clinical features. To sum up the above, the current study constructed a CD24-associated ceRNA network, and RP1-228H13.5/miR-135a-5p/BEND3 and SIM2 axis worked as a potential therapeutic target and a predictor for BRCA diagnosis and prognosis. |
format | Online Article Text |
id | pubmed-9992383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99923832023-03-09 CD24-associated ceRNA network reveals prognostic biomarkers in breast carcinoma Yu, Bin Zhao, Ziyue Chen, Zhuoyuan Xiang, Cheng Wang, Pingxiao Xiao, Bo Xia, Yu Li, Aoyu Xiao, Tao Li, Hui Sci Rep Article Breast cancer is one of the most common cancer types which is described as the leading cause of cancer death in women. After competitive endogenous RNA (ceRNA) hypothesis was proposed, this triple regulatory network has been observed in various cancers, and increasing evidences reveal that ceRNA network plays a significant role in the migration, invasion, proliferation of cancer cells. In the current study, our target is to construct a CD24-associated ceRNA network, and to further identify key prognostic biomarkers in breast cancer. Using the transcriptom profiles from TCGA database, we performed a comprehensive analysis between CD24(high) tumor samples and CD24(low) tumor samples, and identified 132 DElncRNAs, 602 DEmRNAs and 26 DEmiRNAs. Through comprehensive analysis, RP1-228H13.5/miR-135a-5p/BEND3 and SIM2 were identified as key CD24-associated biomarkers, which exhibited highly significance with overall survival, immune microenvironment as well as clinical features. To sum up the above, the current study constructed a CD24-associated ceRNA network, and RP1-228H13.5/miR-135a-5p/BEND3 and SIM2 axis worked as a potential therapeutic target and a predictor for BRCA diagnosis and prognosis. Nature Publishing Group UK 2023-03-07 /pmc/articles/PMC9992383/ /pubmed/36882451 http://dx.doi.org/10.1038/s41598-022-25072-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Yu, Bin Zhao, Ziyue Chen, Zhuoyuan Xiang, Cheng Wang, Pingxiao Xiao, Bo Xia, Yu Li, Aoyu Xiao, Tao Li, Hui CD24-associated ceRNA network reveals prognostic biomarkers in breast carcinoma |
title | CD24-associated ceRNA network reveals prognostic biomarkers in breast carcinoma |
title_full | CD24-associated ceRNA network reveals prognostic biomarkers in breast carcinoma |
title_fullStr | CD24-associated ceRNA network reveals prognostic biomarkers in breast carcinoma |
title_full_unstemmed | CD24-associated ceRNA network reveals prognostic biomarkers in breast carcinoma |
title_short | CD24-associated ceRNA network reveals prognostic biomarkers in breast carcinoma |
title_sort | cd24-associated cerna network reveals prognostic biomarkers in breast carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992383/ https://www.ncbi.nlm.nih.gov/pubmed/36882451 http://dx.doi.org/10.1038/s41598-022-25072-x |
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