外泌体预后生物标志物预测乳腺癌患者的转移进展和生存

Ceyhan Ceran Serdar, Şeyma Osmanlıoğlu
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摘要

摘要目的:本研究旨在全面评估乳腺癌(BrCa)患者体液循环中基于细胞外囊泡(EV)的生物标志物的预后价值。方法:我们于2023年2月14日系统检索了WOS、PubMed和Scopus数据库,以获取有关总生存期(OS)、进展/疾病/无事件生存期(PFS/DFS/EFS)和转移进展的研究。我们使用随机效应模型和Stata 16.0软件计算了所有基于ev的预后血液来源生物标志物的单因素(UHR)或多因素调整(AHR)风险比和AUC值。对阳性和阴性预后因素进行亚组分析。结果21篇26项研究,3423例患者符合纳入标准。基于ev的阴性生物标志物提示低OS(UHR=2.31, CI=1.77 ~ 3.03, i2 = 60.12%, p<0.001);DFS/PFS/EFS较差(UHR=3.91, CI=2.82 ~ 5.43, i2 = 19.08%, p=0.24);转移风险增加(合并AUC=0.91)。在先前描述的56个基于ev的生物标志物中,我们确定PD-L2, sHLA-G, exo-XIST和miR4800是BrCa患者OS的最佳预测因子。miR155、Annexin-A2、sHLA-G、PD-L2、miR1246、PSMA和构建EV P -panel的生物标志物的表达水平具有显著的潜力,可以联合形成预测BrCa患者DFS/PFS/EFS的预后面板。PD-L2和sHLA-G作为OS和DFS的主要生物标志物,突出了免疫系统逃避对患者生存的重要性。此外,我们认为用额外的RNA生物标志物进行强化可以显著提高先前描述的EV DX -panel的转移预测能力。该荟萃分析首次概述了基于液体活检的ev生物标志物与OS、DFS和BrCa转移进展的相关性。在过渡到临床使用之前,建议的面板的预后效率应进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exosomal prognostic biomarkers predict metastatic progression and survival in breast cancer patients
Abstract Objectives This study aims to comprehensively evaluate extracellular vesicle (EV)-based biomarkers circulating in body fluids with significant prognostic value in breast cancer (BrCa). Methods We systematically searched WOS, PubMed, and Scopus databases on 14 February 2023 for studies indicating overall survival(OS), progression/disease/event-free survival(PFS/DFS/EFS), and metastatic progression. We computed univariate(UHR) or multivariate adjusted(AHR) hazard ratios, and AUC values for all prognostic EV-based biomarkers of blood-origin using random effect model and Stata 16.0 software. Subgroup analysis was conducted for positive and negative prognostic factors. Results Twenty-one articles comprising twenty-six studies and 3,423 patients satisfied the inclusion criteria. EV-based negative biomarkers indicated low OS(UHR=2.31, CI=1.77–3.03, I 2 =60.12 %, p<0.001); worse DFS/PFS/EFS(UHR=3.91, CI=2.82–5.43, I 2 =19.08 %, p=0.24); increased risk for metastasis(pooled AUC=0.91). Out of 56 EV-based biomarkers that have been previously described, we identified PD-L2, sHLA-G, exo-XIST, and miR4800 as the best predictors of OS of BrCa patients. Expression levels of miR155, Annexin-A2, sHLA-G, PD-L2, miR1246, PSMA and the biomarkers constructing the EV P -panel hold significant potential to be combined in a prognostic-panel predicting DFS/PFS/EFS of BrCa patients. PD-L2 and sHLA-G standing out as leading biomarkers in both OS and DFS highlights the importance of immune system evasion for patient survival. In addition, we suggest that reinforcement with additional RNA biomarkers could significantly increase the metastatic prediction power of the previously described EV DX -panel. Conclusions This meta-analysis provides an overview of the liquid biopsy-based EV-biomarkers associated with OS, DFS, and metastatic progression of BrCa for the first time. Prognostic efficiency of the proposed panels should be further investigated before transition to clinical use.
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