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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...

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Autores principales: Zhang, Junpeng, Liu, Lin, Wei, Xuemei, Zhao, Chunwen, Li, Sijing, Li, Jiuyong, Le, Thuc Duy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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.
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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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