Genetic Control of tRNA-Derived Fragments Contributes to Cancer Risk

癌症 表达数量性状基因座 小RNA 人口 生物 数量性状位点 表型 遗传学 癌症研究 计算生物学 单核苷酸多态性 基因型 基因 医学 环境卫生
作者
Bin Li,Hanting Li,Yan Li,Zhirui Chen,Danyi Zou,Chunyi He,Songqiang Li,Kexin Hu,Caibo Ning,Yanmin Li,Hui Geng,Shuhui Yang,Chaoqun Huang,Xiaojun Yang,Qiuhong Wang,Xu Zhu,Xiangpan Li,Ying Zhu,Meng Jin,Xiaoping Miao
出处
期刊:Cancer Research [American Association for Cancer Research]
标识
DOI:10.1158/0008-5472.can-25-1282
摘要

Abstract Transfer RNA-derived fragments (tRFs) are a class of small non-coding RNAs that have exhibited several functions in cancer. Recent studies have shown that mutations in tRNA genes can lead to global changes in tRF expression levels and may affect tRF function, highlighting the need to further elucidate the regulation and functions of tRFs in cancer. Here, we conducted a pan-cancer analysis of tRF quantitative trait loci (tRFQTLs), encompassing 16,703 genetic variants associated with tRF expression across 31 cancer types. A joint analysis of GWAS data revealed that tRFQTLs were preferentially enriched in cancer risk loci and colocalized with 106 GWAS variants, explaining a substantial portion of cancer heritability. Moreover, tRFs regulated by tRFQTLs were enriched in cancer-related pathways and correlated with drug response and immune infiltration. Notably, polygenic risk score models incorporating tRFQTLs improved high-risk population identification. Investigation of large-scale population cohorts revealed a tRFQTL, rs9461276, associated with colorectal cancer (CRC) risk. In biological assays, the rs9461276-C allele increased tRF-18-HSQS52D2 expression, which suppressed CRC malignant phenotypes. Mechanistically, tRF-18-HSQS52D2 bound to the 3'UTR of POU2F1, destabilizing the oncogenic transcript. Integrated RNA sequencing and ChIP-seq assays indicated that POU2F1 enhanced CRC cell proliferation by activating various pathological pathways associated with oxidative and glycolytic metabolism, mitotic stability, and cell cycle regulation. Finally, a database (Cancer-tRFQTL) was generated as a resource to support investigation into tRF-mediated mechanisms and genetic basis of tRF expression in human cancers. Overall, this study helps advance the understanding of tRFs in cancer pathogenesis.
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