Wei Wenqing, Gao Wenyan, Li Qinglan, Liu Yuhao, Chen Hongyan, Cui Yongping, Sun Zhongsheng, Liu Zhihua
State Key Laboratory of Molecular Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
NPJ Genom Med. 2022 Jun 2;7(1):34. doi: 10.1038/s41525-022-00305-0.
The 3' untranslated region (3'-UTR) is the vital element regulating gene expression, but most studies have focused on variations in RNA-binding proteins (RBPs), miRNAs, alternative polyadenylation (APA) and RNA modifications. To explore the posttranscriptional function of 3'-UTR somatic mutations in tumorigenesis, we collected whole-genome data from 2413 patients across 18 cancer types. Our updated algorithm, PIVar, revealed 25,216 3'-UTR posttranscriptional impairment-related SNVs (3'-UTR piSNVs) spanning 2930 genes; 24 related RBPs were significantly enriched. The somatic 3'-UTR piSNV ratio was markedly increased across all 18 cancer types, which was associated with worse survival for four cancer types. Several cancer-related genes appeared to facilitate tumorigenesis at the protein and posttranscriptional regulation levels, whereas some 3'-UTR piSNV-affected genes functioned mainly via posttranscriptional mechanisms. Moreover, we assessed immune cell and checkpoint characteristics between the high/low 3'-UTR piSNV ratio groups and predicted 80 compounds associated with the 3'-UTR piSNV-affected gene expression signature. In summary, our study revealed the prevalence and clinical relevance of 3'-UTR piSNVs in cancers, and also demonstrates that in addition to affecting miRNAs, 3'-UTR piSNVs perturb RBPs binding, APA and m6A RNA modification, which emphasized the importance of considering 3'-UTR piSNVs in cancer biology.
3'非翻译区(3'-UTR)是调节基因表达的关键元件,但大多数研究集中在RNA结合蛋白(RBP)、微小RNA(miRNA)、可变聚腺苷酸化(APA)和RNA修饰的变异上。为了探索3'-UTR体细胞突变在肿瘤发生中的转录后功能,我们收集了18种癌症类型中2413名患者的全基因组数据。我们更新的算法PIVar揭示了跨越2930个基因的25216个与3'-UTR转录后损伤相关的单核苷酸变异(3'-UTR piSNV);24种相关RBP显著富集。在所有18种癌症类型中,体细胞3'-UTR piSNV比率均显著增加,这与四种癌症类型的较差生存率相关。一些癌症相关基因似乎在蛋白质和转录后调控水平上促进肿瘤发生,而一些受3'-UTR piSNV影响的基因主要通过转录后机制发挥作用。此外,我们评估了高/低3'-UTR piSNV比率组之间的免疫细胞和检查点特征,并预测了80种与3'-UTR piSNV影响基因表达特征相关的化合物。总之,我们的研究揭示了3'-UTR piSNV在癌症中的普遍性和临床相关性,并且还表明3'-UTR piSNV除了影响miRNA外,还扰乱RBP结合、APA和m6A RNA修饰,这强调了在癌症生物学中考虑3'-UTR piSNV的重要性。