Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma

Fanxuan Huang(Harbin Medical University), Xinyu Wang(Harbin Medical University), Junzhe Zhong(Harbin Medical University), Hao Chen(Harbin Medical University), Dan Song(Harbin Medical University), Tianye Xu(Harbin Medical University), Kaifu Tian(Harbin Medical University), Penggang Sun(Harbin Medical University), Nan Sun(Harbin Medical University), Jie Qin(Harbin Medical University), Yu Song(Harbin Medical University), Wenbin Ma(Harbin Medical University), Yuxiang Liu(Harbin Medical University), Daohan Yu(Harbin Medical University), Xiangqi Meng(Harbin Medical University), Chuanlu Jiang(Harbin Medical University), Hanwen Xuan(Harbin Medical University), Da Qian(Soochow University), Jinquan Cai(Harbin Medical University)
Cancer Cell International
August 4, 2023
Cited by 7Open Access
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Abstract

Abstract Background N 6-methyladenosine (m6A), 5-methylcytosine (m5C) and N 1-methyladenosine (m1A) are the main RNA methylation modifications involved in the progression of cancer. However, it is still unclear whether RNA methylation-related long noncoding RNAs (lncRNAs) affect the prognosis of glioma. Methods We summarized 32 m6A/m5C/m1A-related genes and downloaded RNA-seq data and clinical information from The Cancer Genome Atlas (TCGA) database. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were used to identify differentially expressed (DE-) RNA methylation-related lncRNAs in order to construct a prognostic signature of glioma and in order to determine their correlation with immune function, immune therapy and drug sensitivity. In vitro and in vivo assays were performed to elucidate the effects of RNA methylation-related lncRNAs on glioma. Results A total of ten RNA methylation-related lncRNAs were used to construct a survival and prognosis signature, which had good independent prediction ability for patients. It was found that the high-risk group had worse overall survival (OS) than the low-risk group in all cohorts. In addition, the risk group informed the immune function, immunotherapy response and drug sensitivity of patients with glioma in different subgroups. Knockdown of RP11-98I9.4 and RP11-752G15.8 induced a more invasive phenotype, accelerated cell growth and apparent resistance to temozolomide (TMZ) both in vitro and in vivo. We observed significantly elevated global RNA m5C and m6A levels in glioma cells. Conclusion Our study determined the prognostic implication of RNA methylation-related lncRNAs in gliomas, established an RNA methylation-related lncRNA prognostic model, and elucidated that RP11-98I9.4 and RP11-752G15.8 could suppress glioma proliferation, migration and TMZ resistance. In the future, these RNA methylation-related lncRNAs may become a new choice for immunotherapy of glioma.


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