Data from Genetic Control of tRNA-Derived Fragments Contributes to Cancer Risk

<div>Abstract<p>tRNA-derived fragments (tRF) are a class of small noncoding 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. In this study, we conducted a pan-cancer analysis of tRF quantitative trait loci (tRFQTL), encompassing 16,703 genetic variants associated with tRF expression across 31 cancer types. A joint analysis of genome-wide association study data revealed that tRFQTLs were preferentially enriched in cancer risk loci and colocalized with 106 genome-wide association study 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 risk. In biological assays, the rs9461276-C allele increased <i>tRF-18-HSQS52D2</i> expression, which suppressed colorectal cancer malignant phenotypes. Mechanistically, <i>tRF-18-HSQS52D2</i> bound to the 3′ untranslated region of <i>POU2F1</i>, destabilizing the oncogenic transcript. Integrated RNA sequencing and chromatin immunoprecipitation sequencing assays indicated that POU2F1 enhanced colorectal cancer cell proliferation by activating various pathologic 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.</p>Significance:<p>Genetic variants modulating tRF expression significantly influence cancer risk, including rs9461276-C that upregulates <i>tRF-18-HSQS52D2</i> to suppress its downstream oncogenic target POU2F1 and thereby inhibit colorectal cancer development.</p><p><a href="https://aacrjournals.org/cancerres/pages/data-science-special-series" target="_blank"><i>This article is part of a special series: Driving Cancer Discoveries with Computational Research, Data Science, and Machine Learning/AI</i></a>.</p></div>