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Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer

Competing endogenous RNAs (ceRNAs) have gained attention in cancer research owing to their involvement in microRNA-mediated gene regulation. Previous studies have identified ceRNA networks of individual cancers. Nevertheless, none of these studies has investigated different cancer stages. We identif...

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Autores principales: Jayarathna, Dulari K., Rentería, Miguel E., Batra, Jyotsna, Gandhi, Neha S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918521/
https://www.ncbi.nlm.nih.gov/pubmed/36765262
http://dx.doi.org/10.1038/s41598-023-29585-x
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author Jayarathna, Dulari K.
Rentería, Miguel E.
Batra, Jyotsna
Gandhi, Neha S.
author_facet Jayarathna, Dulari K.
Rentería, Miguel E.
Batra, Jyotsna
Gandhi, Neha S.
author_sort Jayarathna, Dulari K.
collection PubMed
description Competing endogenous RNAs (ceRNAs) have gained attention in cancer research owing to their involvement in microRNA-mediated gene regulation. Previous studies have identified ceRNA networks of individual cancers. Nevertheless, none of these studies has investigated different cancer stages. We identify stage-specific ceRNAs in breast cancer using the cancer genome atlas data. Moreover, we investigate the molecular functions and prognostic ability of ceRNAs involved in stage I–IV networks. We identified differentially expressed candidate ceRNAs using edgeR and limma R packages. A three-step analysis was used to identify statistically significant ceRNAs of each stage. Survival analysis and functional enrichment analysis were conducted to identify molecular functions and prognostic ability. We found five genes and one long non-coding RNA unique to the stage IV ceRNA network. These genes have been described in previous breast cancer studies. Genes acted as ceRNAs are enriched in cancer-associated pathways. Two, three, and three microRNAs from stages I, II, and III were prognostic from the Kaplan–Meier survival analysis. Our results reveal a set of unique ceRNAs in metastatic breast cancer. Further experimental work is required to evaluate their role in metastasis. Moreover, identifying stage-specific ceRNAs will improve the understanding of personalised therapeutics in breast cancer.
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spelling pubmed-99185212023-02-12 Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer Jayarathna, Dulari K. Rentería, Miguel E. Batra, Jyotsna Gandhi, Neha S. Sci Rep Article Competing endogenous RNAs (ceRNAs) have gained attention in cancer research owing to their involvement in microRNA-mediated gene regulation. Previous studies have identified ceRNA networks of individual cancers. Nevertheless, none of these studies has investigated different cancer stages. We identify stage-specific ceRNAs in breast cancer using the cancer genome atlas data. Moreover, we investigate the molecular functions and prognostic ability of ceRNAs involved in stage I–IV networks. We identified differentially expressed candidate ceRNAs using edgeR and limma R packages. A three-step analysis was used to identify statistically significant ceRNAs of each stage. Survival analysis and functional enrichment analysis were conducted to identify molecular functions and prognostic ability. We found five genes and one long non-coding RNA unique to the stage IV ceRNA network. These genes have been described in previous breast cancer studies. Genes acted as ceRNAs are enriched in cancer-associated pathways. Two, three, and three microRNAs from stages I, II, and III were prognostic from the Kaplan–Meier survival analysis. Our results reveal a set of unique ceRNAs in metastatic breast cancer. Further experimental work is required to evaluate their role in metastasis. Moreover, identifying stage-specific ceRNAs will improve the understanding of personalised therapeutics in breast cancer. Nature Publishing Group UK 2023-02-10 /pmc/articles/PMC9918521/ /pubmed/36765262 http://dx.doi.org/10.1038/s41598-023-29585-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
Jayarathna, Dulari K.
Rentería, Miguel E.
Batra, Jyotsna
Gandhi, Neha S.
Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer
title Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer
title_full Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer
title_fullStr Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer
title_full_unstemmed Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer
title_short Integrative competing endogenous RNA network analyses identify novel lncRNA and genes implicated in metastatic breast cancer
title_sort integrative competing endogenous rna network analyses identify novel lncrna and genes implicated in metastatic breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918521/
https://www.ncbi.nlm.nih.gov/pubmed/36765262
http://dx.doi.org/10.1038/s41598-023-29585-x
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