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Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers
Non-coding RNAs (ncRNAs) act as important modulators of gene expression and they have been confirmed to play critical roles in the physiology and development of malignant tumors. Understanding the synergism of multiple ncRNAs in competing endogenous RNA (ceRNA) regulation can provide important insig...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586676/ https://www.ncbi.nlm.nih.gov/pubmed/37812646 http://dx.doi.org/10.1371/journal.pcbi.1011308 |
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author | Zhang, Junpeng Liu, Lin Wei, Xuemei Zhao, Chunwen Li, Sijing Li, Jiuyong Le, Thuc Duy |
author_facet | Zhang, Junpeng Liu, Lin Wei, Xuemei Zhao, Chunwen Li, Sijing Li, Jiuyong Le, Thuc Duy |
author_sort | Zhang, Junpeng |
collection | PubMed |
description | Non-coding RNAs (ncRNAs) act as important modulators of gene expression and they have been confirmed to play critical roles in the physiology and development of malignant tumors. Understanding the synergism of multiple ncRNAs in competing endogenous RNA (ceRNA) regulation can provide important insights into the mechanisms of malignant tumors caused by ncRNA regulation. In this work, we present a framework, SCOM, for identifying ncRNA synergistic competition. We systematically construct the landscape of ncRNA synergistic competition across 31 malignant tumors, and reveal that malignant tumors tend to share hub ncRNAs rather than the ncRNA interactions involved in the synergistic competition. In addition, the synergistic competition ncRNAs (i.e. ncRNAs involved in the synergistic competition) are likely to be involved in drug resistance, contribute to distinguishing molecular subtypes of malignant tumors, and participate in immune regulation. Furthermore, SCOM can help to infer ncRNA synergistic competition across malignant tumors and uncover potential diagnostic and prognostic biomarkers of malignant tumors. Altogether, the SCOM framework (https://github.com/zhangjunpeng411/SCOM/) and the resulting web-based database SCOMdb (https://comblab.cn/SCOMdb/) serve as a useful resource for exploring ncRNA regulation and to accelerate the identification of carcinogenic biomarkers. |
format | Online Article Text |
id | pubmed-10586676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105866762023-10-20 Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers Zhang, Junpeng Liu, Lin Wei, Xuemei Zhao, Chunwen Li, Sijing Li, Jiuyong Le, Thuc Duy PLoS Comput Biol Research Article Non-coding RNAs (ncRNAs) act as important modulators of gene expression and they have been confirmed to play critical roles in the physiology and development of malignant tumors. Understanding the synergism of multiple ncRNAs in competing endogenous RNA (ceRNA) regulation can provide important insights into the mechanisms of malignant tumors caused by ncRNA regulation. In this work, we present a framework, SCOM, for identifying ncRNA synergistic competition. We systematically construct the landscape of ncRNA synergistic competition across 31 malignant tumors, and reveal that malignant tumors tend to share hub ncRNAs rather than the ncRNA interactions involved in the synergistic competition. In addition, the synergistic competition ncRNAs (i.e. ncRNAs involved in the synergistic competition) are likely to be involved in drug resistance, contribute to distinguishing molecular subtypes of malignant tumors, and participate in immune regulation. Furthermore, SCOM can help to infer ncRNA synergistic competition across malignant tumors and uncover potential diagnostic and prognostic biomarkers of malignant tumors. Altogether, the SCOM framework (https://github.com/zhangjunpeng411/SCOM/) and the resulting web-based database SCOMdb (https://comblab.cn/SCOMdb/) serve as a useful resource for exploring ncRNA regulation and to accelerate the identification of carcinogenic biomarkers. Public Library of Science 2023-10-09 /pmc/articles/PMC10586676/ /pubmed/37812646 http://dx.doi.org/10.1371/journal.pcbi.1011308 Text en © 2023 Zhang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhang, Junpeng Liu, Lin Wei, Xuemei Zhao, Chunwen Li, Sijing Li, Jiuyong Le, Thuc Duy Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers |
title | Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers |
title_full | Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers |
title_fullStr | Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers |
title_full_unstemmed | Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers |
title_short | Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers |
title_sort | pan-cancer characterization of ncrna synergistic competition uncovers potential carcinogenic biomarkers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586676/ https://www.ncbi.nlm.nih.gov/pubmed/37812646 http://dx.doi.org/10.1371/journal.pcbi.1011308 |
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