Construction of a competing endogenous RNA network and identification of potential regulatory axes in gastric cancer chemoresistance

竞争性内源性RNA 小桶 生物 小RNA 计算生物学 转录组 基因 环状RNA 核糖核酸 基因表达 长非编码RNA 遗传学
作者
Xianzi Yang,Lei Ma,Shuxian Fang,Ye Song,Siyu Zhu,Chuan Jin,Wei Liu,Qin Lu,Li-Si Zeng,Shuzhong Cui
出处
期刊:Pathology Research and Practice [Elsevier BV]
卷期号:234: 153904-153904 被引量:3
标识
DOI:10.1016/j.prp.2022.153904
摘要

Emerging evidence highlights the multifunctional role of noncoding RNAs (ncRNAs) in gastric cancer (GC) chemoresistance. However, the comprehensive expression profile and competing endogenous RNAs (ceRNAs) regulatory network of GC chemoresistance remain unanswered.The whole-transcriptome sequencing (RNA sequencing) was performed to comprehensively analyze the differentially expressed (DE) lncRNAs, miRNAs and mRNAs in cisplatin-resistant cells MGC-803/DDP and GC cells MGC-803. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to investigate the biological functions implicated with the DEncRNAs. Then, the cisplatin-resistant-related ceRNA network and potential regulatory axes were constructed by bioinformatic analysis.We successfully generated cisplatin-resistant GC cell line MGC-803/DDP. Differential expression analysis showed that a total of 1936 DElncRNAs, 2194 DEmRNAs and 174 DEmiRNAs were identified. Functional enrichment analysis indicated that those DEncRNAs were mainly involved in neuroactive ligand-receptor interaction, drug metabolism and Hippo signaling pathway. Subsequently, the cisplatin-resistant-related ceRNA network was constructed with the widely accepted vital chemo-resistant-related genes and signaling pathways. In addition, two constructed regulatory axes (include FAM66C/miR-129-5p/7 mRNAs and SFTA1P/miR-206/FN1 or NRP1) were successfully validated by the Genomic Data Commons (GDC) GC data.The novel ceRNA network and the potential regulatory axes may provide the most comprehensive view of GC chemoresistance to date. Our findings uncovered potential biomarkers for prognostic prediction and novel therapeutic targets for reversing cisplatin resistance in GC.
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