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非酸性核酸血液肿瘤标志物联合检测对早期诊断乳腺癌的诊断价值:系统评价和网络荟萃分析。

Diagnostic Value of Nonacid Nucleic Blood Tumor Marker Panels in Early Diagnosing Breast Cancer: A Systematic Review and Network Meta-Analysis.

机构信息

Clinical Laboratory Sciences, Amin Hospital, Isfahan University of Medical Sciences, Isfahan, Iran.

Community & Preventive Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

出版信息

Dis Markers. 2022 Feb 3;2022:4119345. doi: 10.1155/2022/4119345. eCollection 2022.

DOI:10.1155/2022/4119345
PMID:35222743
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8866026/
Abstract

This study is aimed at determining the best nonacid nucleic blood tumor marker panels in terms of sensitivity, specificity, and accuracy in order to detect breast cancer in early stages (I, II, and III) among eligible women for breast cancer screening. PubMed, Web of Science, Embase, Scopus, and Cochrane were systematically reviewed to assess nonacid nucleic blood tumor marker panels' diagnostic value in women, both healthy and patient (before any anticancer treatment), for detecting breast cancer. A network meta-analysis was carried out using a Bayesian network meta-analysis to estimate combined odd ratio (OR) and 95% CI credible interval for presenting the results. Rankograms plot was drawn to rank the diagnostic value of different panels. Of the 2358 titles initially identified, 9 studies and 8 panels were included in the network meta-analysis. Panels A (MMP-9/TIMP-1) and K (TF1+TF2+TF3) had the highest sensitivity in early stages, as panel A with OR = 11.61 and 95% CI (1.49-102.5) demonstrated a better function than mammography. Panels H (CA 15.3 + IL-18) and A (MMP-9/TIMP-1) had the highest specificity in early stages, but no significant difference with mammography. Panels A (MMP-9/TIMP-1) and H (CA 15.3 + IL-18) had the highest accuracy in early stages, as they significantly exhibited a higher function than mammography with OR = 6.87 and 95% CI (2.07-31.35) as well as OR = 3.44 and 95% CI (1.15-11.07), respectively. Panel A including MMP-9/TIMP-1 in early stages demonstrated a higher diagnostic value for breast cancer than the rest of the panels.

摘要

本研究旨在确定最佳的非酸性核酸血液肿瘤标志物组合,以提高灵敏度、特异性和准确性,从而在适合乳腺癌筛查的女性中早期(I、II 和 III 期)检测乳腺癌。通过系统综述 PubMed、Web of Science、Embase、Scopus 和 Cochrane,评估了非酸性核酸血液肿瘤标志物组合在健康和患者(任何抗癌治疗前)女性中检测乳腺癌的诊断价值。使用贝叶斯网络荟萃分析进行了网络荟萃分析,以估计呈现结果的合并优势比(OR)和 95%可信区间。绘制秩图以对不同面板的诊断价值进行排名。在最初确定的 2358 个标题中,有 9 项研究和 8 个面板被纳入网络荟萃分析。在早期阶段,面板 A(MMP-9/TIMP-1)和 K(TF1+TF2+TF3)具有最高的敏感性,面板 A 的 OR = 11.61 和 95%CI(1.49-102.5)显示出比乳房 X 线摄影更好的功能。在早期阶段,面板 H(CA 15.3 + IL-18)和 A(MMP-9/TIMP-1)具有最高的特异性,但与乳房 X 线摄影无显著差异。在早期阶段,面板 A(MMP-9/TIMP-1)和 H(CA 15.3 + IL-18)具有最高的准确性,因为它们与乳房 X 线摄影相比具有更高的功能,OR = 6.87 和 95%CI(2.07-31.35)以及 OR = 3.44 和 95%CI(1.15-11.07)。在早期阶段,包含 MMP-9/TIMP-1 的面板 A 显示出比其他面板更高的乳腺癌诊断价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d63/8866026/a61e09a20d0d/DM2022-4119345.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d63/8866026/2f5f883ab585/DM2022-4119345.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d63/8866026/b07dbe76b6e5/DM2022-4119345.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d63/8866026/a61e09a20d0d/DM2022-4119345.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d63/8866026/2f5f883ab585/DM2022-4119345.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d63/8866026/b07dbe76b6e5/DM2022-4119345.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d63/8866026/a61e09a20d0d/DM2022-4119345.003.jpg

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Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up†.早期乳腺癌:ESMO 诊断、治疗及随访临床实践指南†
Ann Oncol. 2019 Aug 1;30(8):1194-1220. doi: 10.1093/annonc/mdz173.
4
Serum TFF1 and TFF3 but not TFF2 are higher in women with breast cancer than in women without breast cancer.乳腺癌患者血清 TFF1 和 TFF3 高于非乳腺癌患者,但 TFF2 则不然。
Sci Rep. 2017 Jul 7;7(1):4846. doi: 10.1038/s41598-017-05129-y.
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Network meta-analysis: a technique to gather evidence from direct and indirect comparisons.网络荟萃分析:一种从直接和间接比较中收集证据的技术。
Pharm Pract (Granada). 2017 Jan-Mar;15(1):943. doi: 10.18549/PharmPract.2017.01.943. Epub 2017 Mar 15.
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