Diagnostic Value of Circulating microRNAs for Hepatocellular Carcinoma: Results of a Meta-analysis and Validation.

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Genetics Pub Date : 2026-02-01 Epub Date: 2025-01-03 DOI:10.1007/s10528-024-11001-2
Bingqiang Zhang, Xiaoyan Ma, Yang Zhou, Boyang Zhu, Junmei Yu, He Liu, Yongchao Ma, Yansong Luan, Mengmeng Chen
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Abstract

Mounting evidence suggests that circulating microRNAs (miRNAs) hold diagnostic value in various malignancies. To identify circulating miRNAs for the early diagnosis of hepatocellular carcinoma (HCC), we conducted a meta-analysis to evaluate the diagnostic utility of miRNAs in HCC and further validated the results of the meta-analysis. English articles published prior to December 2023 were retrieved from databases including PubMed, Embase, and Web of Science. A random-effects or fixed-effects model was applied depending on the heterogeneity among studies. The pooled sensitivity, specificity, and the area under the summary receiver operating characteristic curve (AUC) were calculated to assess diagnostic accuracy. Additionally, RT-qPCR and receiver operating characteristic (ROC) analyses were employed to further validate the findings. A total of 36 studies were included, involving 3362 patients with HCC and 2150 patients with chronic hepatitis. The pooled sensitivity, specificity, and diagnostic odds ratio were 0.79 (95% CI 0.75-0.82), 0.79 (95% CI 0.73-0.84), and 14 (95% CI 9-22), respectively; the positive and negative likelihood ratios were 4.0 and 0.27, respectively; the area under the curve (AUC) in the summary receiver operating characteristic (ROC) was 0.85 (95% CI 0.82-0.88). Validation indicated a significant upregulation of miR-1246, miR-21, and miR-221 in HCC patients compared to those with chronic hepatitis (P < 0.01), while miR-122 and miR-26a were significantly downregulated (P < 0.01). Moreover, the validation results also demonstrated that serum levels of miR-21, miR-26a, miR-122, miR-221, and miR-1246 exhibit high sensitivity and specificity in the diagnosis of HCC. Circulating miRNAs may be promising biomarkers for HCC diagnosis.

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循环microrna对肝细胞癌的诊断价值:荟萃分析和验证的结果。
越来越多的证据表明,循环microRNAs (miRNAs)在各种恶性肿瘤中具有诊断价值。为了确定用于肝细胞癌(HCC)早期诊断的循环mirna,我们进行了一项荟萃分析,以评估mirna在HCC中的诊断效用,并进一步验证了荟萃分析的结果。从PubMed、Embase和Web of Science等数据库检索2023年12月之前发表的英文文章。根据研究间的异质性,采用随机效应或固定效应模型。计算合并敏感性、特异性和总受者工作特征曲线下面积(AUC)来评估诊断准确性。此外,采用RT-qPCR和受试者工作特征(ROC)分析进一步验证研究结果。共纳入36项研究,涉及3362例HCC患者和2150例慢性肝炎患者。合并敏感性、特异性和诊断优势比分别为0.79 (95% CI 0.75-0.82)、0.79 (95% CI 0.73-0.84)和14 (95% CI 9-22);正似然比为4.0,负似然比为0.27;总体受试者工作特征(ROC)曲线下面积(AUC)为0.85 (95% CI 0.82 ~ 0.88)。验证表明,与慢性肝炎患者相比,HCC患者中miR-1246、miR-21和miR-221显著上调(P
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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