A Systematic Review of tRNA-Derived Small non-Coding RNAs as Diagnostic and Prognostic Markers in Cancer

Abstract

Objectives: tRNA-derived small non-coding RNAs (tsncRNAs) are one of mysterious small non-coding RNAs. Dysregulated tsncRNAs can led to all kinds of cancers. Recently, tsncRNAs were postulated to be potentially useful biomarkers for tumor diagnosis and prognosis. However, there were no systematic reviews of prognostic and diagnostic tsncRNAs in neoplasms. The study aimed to decipher the relationships between tsncRNAs expression, diagnostic and prognostic outcome in tumors. Methods: This study systematically searched Google Scholar, MEDLINE, Scopus, PubMed, Embase, ScienceDirect, Ovid-Medline, Chinese National Knowledge Infrastructure, WanFang and SinoMed databases for relevant articles published before September 21, 2020. Results: The study is registered in PROSPERO (CRD42020213863). Fourteen relevant studies were included in the meta-analysis: 12 on diagnosis and 5 on prognosis. The pooled add ratio, 95% confidence intervals (Cl) and hazard ratios (HR) of the studies were used to investigate the clinical parameters and overall survival (OS) of cancer patients. The area under the curve (AUC), sensitivity, and specificity was 0.79, 72%, and 73% in tumors, respectively. Though abnormally expressed tsncRNAs were associated with poor and unfavorable impacts on the OS time of cancer patients, the oncogenic tsncRNA may be a favorable impact on overall survival (OS: HR = 0.67, 95% Cl: 0.48-0.94, P = 0.02), and tumor-suppressor tsncRNA might have an unfavorable impact on overall survival (OS: HR = 1.41, 95% Cl: 0.84-2.37, P = 0.19). Conclusion: These results strongly suggested that tsncRNAs were potential novel prognostic and diagnostic indicators in tumors.