School of Engineering, Dali University, Dali, Yunnan, People's Republic of China.
UniSA STEM, University of South Australia, Mawson Lakes, South Australia, Australia.
PLoS Comput Biol. 2023 Oct 9;19(10):e1011308. doi: 10.1371/journal.pcbi.1011308. eCollection 2023 Oct.
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.
非编码 RNA(ncRNA)作为基因表达的重要调节剂,已被证实在恶性肿瘤的生理和发育中发挥关键作用。了解多个 ncRNA 在竞争性内源 RNA(ceRNA)调控中的协同作用,可以深入了解 ncRNA 调控导致恶性肿瘤的机制。在这项工作中,我们提出了一个用于识别 ncRNA 协同竞争的框架 SCOM。我们系统地构建了 31 种恶性肿瘤中 ncRNA 协同竞争的全景图,揭示了恶性肿瘤倾向于共享枢纽 ncRNA,而不是涉及协同竞争的 ncRNA 相互作用。此外,协同竞争的 ncRNA(即参与协同竞争的 ncRNA)可能与耐药性有关,有助于区分恶性肿瘤的分子亚型,并参与免疫调节。此外,SCOM 可以帮助推断恶性肿瘤之间的 ncRNA 协同竞争,并发现恶性肿瘤的潜在诊断和预后生物标志物。总之,SCOM 框架(https://github.com/zhangjunpeng411/SCOM/)和由此产生的基于网络的 SCOMdb 数据库(https://comblab.cn/SCOMdb/)是探索 ncRNA 调控和加速致癌生物标志物识别的有用资源。