推进胃肠道癌症诊断:循环 microRNA-1246 作为非侵入性生物标记物的系统回顾和荟萃分析》。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2024-07-01 Epub Date: 2024-05-14 DOI:10.1080/1354750X.2024.2350714
Amir Hossein Aalami, Ali Shahriari, Mohammad Mazaheri, Farnoosh Aalami, Amirhossein Sahebkar
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引用次数: 0

摘要

背景:尽管有许多关于消化系统癌症中microRNA-1246(miR-1246)表达水平改变的报道,但其在胃肠道癌症(GICs)中的作用仍不清楚。这项荟萃分析旨在评估循环 miR-1246 在胃肠癌中的诊断潜力:方法:使用 Meta-disc V.1.4 和 Comprehensive Meta-Analysis V.3.7 软件计算集合灵敏度、特异性、似然比、诊断几率比、AUC、Q*指数和 SROC。根据癌症类型、样本类型和地理区域进行了分组分析。采用Begg's和Egger's检验评估发表偏倚:共纳入了 14 篇文章,涉及 18 项研究和 1,526 名参与者(972 例病例和 554 例对照)。miRNA-1246 在 GIC 中的诊断准确性如下:汇总灵敏度: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*:0.891:0.891,Q*指数:0.807:0.807.根据 Begg's 检验(P = 0.172)和 Egger's 检验(P = 0.113),未发现发表偏倚:结论:循环 miR-1246 有望成为早期检测 GIC 的非侵入性生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing gastrointestinal cancer diagnostics: a systematic review and meta-analysis of circulating microRNA-1246 as a non-invasive biomarker.

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 (p = 0.172) and Egger's (p = 0.113) tests.

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

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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