推进胃肠道癌诊断：循环 microRNA-1246 作为一种非侵入性生物标志物的系统评价和荟萃分析。

Advancing gastrointestinal cancer diagnostics: a systematic review and meta-analysis of circulating microRNA-1246 as a non-invasive biomarker.

机构信息

Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, UT, USA.

Division of Nephrology and Hypertension, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA.

出版信息

Biomarkers. 2024 Jul;29(5):233-243. doi: 10.1080/1354750X.2024.2350714. Epub 2024 May 14.

DOI:10.1080/1354750X.2024.2350714

PMID:38696280

Abstract

BACKGROUND

Despite numerous reports on the alterations of microRNA-1246 (miR-1246) expression level in digestive system cancers, its role in gastrointestinal cancers (GICs) remains unclear. This meta-analysis aimed to assess the diagnostic potential of circulating miR-1246 in GICs.

METHODS

Meta-disc version 1.4 and Comprehensive Meta-Analysis (CMA) version 3.7 software were used to calculate pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratio (DOR), area under the curve (AUC), Q*index and summary receiver-operating characteristic (SROC). Subgroup analyses were conducted for cancer type, sample type and geographical region. Publication bias was assessed using Begg's and Egger's tests.

RESULTS

A total of 14 articles involving 18 studies and 1526 participants (972 cases and 554 controls) were included. The diagnostic accuracy of miRNA-1246 in GICs was as follows: pooled sensitivity: 0.81 (95% CI: 0.79 - 0.83), specificity: 0.74 (95% CI: 0.71 - 0.77), PLR: 3.315 (95% CI: 2.33 - 4.72), NLR: 0.221 (95% CI: 0.153 - 0.319), DOR: 16.87 (95% CI: 9.45 - 30.09), AUC: 0.891, and Q*-index: 0.807. No publication bias was found based on Begg's ( = 0.172) and Egger's ( = 0.113) tests.

CONCLUSION

Circulating miR-1246 shows promise as a non-invasive biomarker for early detection of GICs.

摘要

背景

尽管有大量关于 microRNA-1246（miR-1246）表达水平改变的报道，但在胃肠道癌症（GICs）中其作用仍不清楚。本荟萃分析旨在评估循环 miR-1246 在 GICs 中的诊断潜力。

方法

使用 Meta-disc 版本 1.4 和 Comprehensive Meta-Analysis（CMA）版本 3.7 软件计算合并的敏感性、特异性、似然比、诊断优势比（DOR）、曲线下面积（AUC）、Q*指数和汇总受试者工作特征（SROC）。根据癌症类型、样本类型和地理位置进行亚组分析。使用 Begg's 和 Egger's 检验评估发表偏倚。

结果

共纳入 14 篇文章，涉及 18 项研究和 1526 名参与者（972 例病例和 554 例对照）。miRNA-1246 在 GICs 中的诊断准确性如下：合并敏感性：0.81（95%CI：0.79-0.83），特异性：0.74（95%CI：0.71-0.77），PLR：3.315（95%CI：2.33-4.72）， NLR：0.221（95%CI：0.153-0.319），DOR：16.87（95%CI：9.45-30.09），AUC：0.891，Q*-指数：0.807。基于 Begg's（=0.172）和 Egger's（=0.113）检验，未发现发表偏倚。