Xie Jingling, Jiang Hui, Zhao Yuanqing, Jin Xin Rui, Li Baolin, Zhu Zixin, Zhang Limei, Liu Jinbo
Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Front Oncol. 2022 Nov 7;12:945143. doi: 10.3389/fonc.2022.945143. eCollection 2022.
Circular RNAs (circRNAs) are receiving increasing attention as novel biomarkers. Our goal was to investigate the diagnostic, clinicopathological, and prognostic utility of circRNAs in prostate cancer (PCa).
Relevant literature was searched in PubMed, Web of Science, and EMBASE. Sensitivity, specificity, diagnostic odds ratio (DOR), negative likelihood ratio (NLR), positive likelihood ratio (PLR), and the area under the curve (AUC) were calculated to evaluate the diagnostic accuracy of circRNA expression. circRNAs' clinical, pathological, and prognostic value was examined using pooled odds ratios (ORs) and hazard ratios (HRs).
This meta-analysis included 23 studies, with 5 for diagnosis, 16 for clinicopathological parameters, and 10 for prognosis. For diagnostic value, the pooled sensitivity, pooled specificity, PLR, NLR, DOR, and AUC were 0.82, 0.62, 2.17, 0.29, 7.37, and 0.81, respectively. Upregulation of carcinogenic circRNAs was associated with poor clinical parameters (Gleason score: OR = 0.222, 95% CI: 0.145-0.340; T classification: OR = 0.274, 95% CI: 0.175-0.430; lymph node metastasis: OR = 0.353, 95% CI: 0.175-0.716; tumor size: OR = 0.226, 95% CI: 0.099-0.518) and could predict poor survival outcomes (HR = 2.408, 95% CI: 1.559-3.720, p < 0.001). Conversely, downregulation of tumor-suppressor circRNAs was also associated with poor clinical parameters (Gleason score: OR = 1.689, 95% CI: 1.144-2.493; T classification: OR = 2.586, 95% CI: 1.779-3.762) and worse prognosis (HR = 1.739, 95% CI: 1.147-2.576, p = 0.006).
Our results showed that circRNAs might be useful biomarkers for the diagnosis and prognosis of PCa.
https://www.crd.york.ac.uk/prospero/, identifier CRD42021284785.
环状RNA(circRNAs)作为新型生物标志物正受到越来越多的关注。我们的目标是研究circRNAs在前列腺癌(PCa)中的诊断、临床病理及预后价值。
在PubMed、Web of Science和EMBASE中检索相关文献。计算敏感性、特异性、诊断比值比(DOR)、阴性似然比(NLR)、阳性似然比(PLR)和曲线下面积(AUC)以评估circRNA表达的诊断准确性。使用合并比值比(OR)和风险比(HR)检验circRNAs的临床、病理和预后价值。
这项荟萃分析纳入了23项研究,其中5项用于诊断,16项用于临床病理参数,10项用于预后。对于诊断价值,合并敏感性、合并特异性、PLR、NLR、DOR和AUC分别为0.82、0.62、2.17、0.29、7.37和0.81。致癌circRNAs的上调与不良临床参数相关( Gleason评分:OR = 0.222,95%CI:0.145 - 0.340;T分期:OR = 0.274,95%CI:0.175 - 0.430;淋巴结转移:OR = 0.353,95%CI:0.175 - 0.716;肿瘤大小:OR = 0.226,95%CI:0.099 - 0.518),并可预测不良生存结局(HR = 2.408,95%CI:1.559 - 3.720,p < 0.001)。相反,抑癌circRNAs的下调也与不良临床参数相关(Gleason评分:OR = 1.689,95%CI:1.144 - 2.493;T分期:OR = 2.586,95%CI:1.779 - 3.762)和更差的预后(HR = 1.739,95%CI:1.147 - 2.576,p = 0.006)。
我们的结果表明,circRNAs可能是PCa诊断和预后的有用生物标志物。