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可切除食管腺癌中预后生物标志物的系统评价和荟萃分析。

A systematic review and meta-analysis of prognostic biomarkers in resectable esophageal adenocarcinomas.

机构信息

Laboratory of Experimental Oncology and Radiobiology, Amsterdam UMC, Univ of Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands.

Department of Medical Oncology, Amsterdam UMC, Univ of Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands.

出版信息

Sci Rep. 2018 Sep 5;8(1):13281. doi: 10.1038/s41598-018-31548-6.

Abstract

Targeted therapy is lagging behind in esophageal adenocarcinoma (EAC). To guide the development of new treatment strategies, we provide an overview of the prognostic biomarkers in resectable EAC treated with curative intent. The Medline, Cochrane and EMBASE databases were systematically searched, focusing on overall survival (OS). The quality of the studies was assessed using a scoring system ranging from 0-7 points based on modified REMARK criteria. To evaluate all identified prognostic biomarkers, the hallmarks of cancer were adapted to fit all biomarkers based on their biological function in EAC, resulting in the features angiogenesis, cell adhesion and extra-cellular matrix remodeling, cell cycle, immune, invasion and metastasis, proliferation, and self-renewal. Pooled hazard ratios (HR) and 95% confidence intervals (CI) were derived by random effects meta-analyses performed on each hallmarks of cancer feature. Of the 3298 unique articles identified, 84 were included, with a mean quality of 5.9 points (range 3.5-7). The hallmarks of cancer feature 'immune' was most significantly associated with worse OS (HR 1.88, (95%CI 1.20-2.93)). Of the 82 unique prognostic biomarkers identified, meta-analyses showed prominent biomarkers, including COX-2, PAK-1, p14ARF, PD-L1, MET, LC3B, IGFBP7 and LGR5, associated to each hallmark of cancer.

摘要

靶向治疗在食管腺癌 (EAC) 中落后。为了指导新治疗策略的发展,我们提供了根治性治疗可切除 EAC 的预后生物标志物概述。系统地检索了 Medline、Cochrane 和 EMBASE 数据库,重点关注总生存率 (OS)。使用基于改良 REMARK 标准的评分系统评估研究质量,评分范围为 0-7 分。为了评估所有鉴定的预后生物标志物,根据它们在 EAC 中的生物学功能,将癌症的特征适应于适合所有生物标志物,从而产生血管生成、细胞黏附和细胞外基质重塑、细胞周期、免疫、侵袭和转移、增殖和自我更新的特征。通过对每个癌症特征进行随机效应荟萃分析得出合并危险比 (HR) 和 95%置信区间 (CI)。在 3298 篇独特的文章中,有 84 篇被纳入,平均质量评分为 5.9 分(范围为 3.5-7)。癌症特征“免疫”与较差的 OS 最显著相关(HR 1.88,95%CI 1.20-2.93))。在鉴定的 82 个独特的预后生物标志物中,荟萃分析显示出显著的生物标志物,包括 COX-2、PAK-1、p14ARF、PD-L1、MET、LC3B、IGFBP7 和 LGR5,与每个癌症特征相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/647c/6125467/0cd506fc6c20/41598_2018_31548_Fig1_HTML.jpg

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