Diagnostic and prognostic values of tsRNAs in lung cancer: a meta-analysis

作者：Cheng Tang, Su‐Xia Sun, Chao Gu, Chao-Juan Li, Jin Xu, Kelei Su, Dandan Zhou, Kuai Yu, Qingling Xiao, Xiaoli Chen · 发表于：BMC Cancer · 年份：2025 · DOI：10.1186/s12885-025-13536-y · 被引用次数：6 · 研究领域：RNA modifications and cancer、Cancer-related molecular mechanisms research、MicroRNA in disease regulation

BACKGROUND: Lung cancer (LC) is the leading cause of cancer-related death in humans. tRNA-derived small RNA (tsRNA) is a novel biomarker that plays a crucial role in the genesis and development of LC. In this study, we aimed to investigate the value of differentially expressed tsRNAs in LC through meta-analysis. METHODS: PubMed and Web of Science were searched for articles published up to January 10, 2024. Diagnostic odds ratios (DORs) and areas under the receiver operating characteristic curve (AUCs) were used to evaluate the potential of tsRNAs as diagnostic markers for LC. Furthermore, hazard ratios (HRs) and 95% confidence intervals (95% CIs) were used to analyze association of tsRNAs with LC prognosis. RESULTS: In total, 12 studies were included in the analysis. Our results indicated that the combined DOR of total tsRNAs for LC diagnosis was 7.32; the AUC was 0.81. Subgroup analysis revealed that high levels of tsRNAs in serum had good diagnostic efficacy (DOR = 16.56, AUC = 0.88). Moreover, a high tsRNAs level was associated with a worse prognosis in LC patients (HR = 1.59, 95% CI: 1.33-1.90). CONCLUSION: Our findings suggest that a high tsRNAs level has potential value for diagnosis and prognosis of LC patients. However, further high-quality studies are needed to validate our results.