The diagnostic and prognostic value of exosome-derived long non-coding RNAs in cancer patients: a meta-analysis

Purpose Exosome-derived long non-coding RNAs (lncRNAs) as novel biomarkers are widely investigated in various cancers, yet results remain controversial. The aim of this meta-analysis was to clarify the diagnostic and prognostic value of exosome-derived lncRNAs in cancer. Methods PubMed, Web of Science, EMBASE, CNKI, and WanFang online databases were comprehensively searched for eligible studies up to January, 2020. To evaluate the diagnostic effect, sensitivity, specificity, and area under the curve (AUC) were pooled. Threshold effect, subgroup analysis, and meta-regression were applied to explore heterogeneity. Deeks’ funnel plot and sensitivity analysis were used to examine publication bias and stability of meta-analysis, respectively. The pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) and recurrence free survival (RFS) were calculated to assess the prognostic value. Results A total of 29 eligible studies involving 3882 patients were enrolled in the meta-analysis, which included 26 on diagnosis and 11 on prognosis. For diagnosis analysis, the pooled sensitivity, specificity, and AUC were 0.83 (95% CI 0.78–0.87), 0.80 (95% CI 0.75–0.84), and 0.88 (95% CI 0.85–0.91), respectively. Meta-regression revealed that the cancer type acted as the potential source of heterogeneity. Sensitivity analysis and Deeks’ funnel plot indicated that results were relatively robust and had no publication bias. For the prognosis analysis, results suggested that overexpression of exosome-derived lncRNAs which upregulated in cancer showed a significant association with poor OS (HR 2.21, 95% CI 1.79–2.71, p