Suppr超能文献

肿瘤间质比(TSR)作为消化系统癌症预后的潜在新预测因子:一项荟萃分析。

Tumor-stroma ratio(TSR) as a potential novel predictor of prognosis in digestive system cancers: A meta-analysis.

机构信息

Department of hepatobiliary surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

Department of hepatobiliary surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

出版信息

Clin Chim Acta. 2017 Sep;472:64-68. doi: 10.1016/j.cca.2017.07.003. Epub 2017 Jul 17.

Abstract

MAIN PROBLEM

The tumor-stroma ratio (TSR) has been reported as a prognosis predictor in multiple cancers. The aim of this meta-analysis was to investigate the potential value of TSR as a prognostic predictor of cancer in the digestive system.

METHODS

We searched PubMed, Embase, Elsevier and Web of Science. All studies exploring the association of TSR with overall survival (OS) or disease-free survival (DFS), and lymph node metastasis (LNM) were identified.

RESULTS

In total, eight studies were eligible for analysis, and they included 1959 patients. Meta-analysis showed that the low TSR in the tumor could predict poor overall survival (OS) in multiple cancers (pooled Hazard Ratio [HR]: 2.15, 95%CI: 1.80-2.57, P<0.00001, fixed effects). For disease-free survival (DFS), low TSR was also a significant predictor (pooled Hazard Ratio [HR]: 2.31, 95%CI: 1.88-2.83, P<0.00001, fixed effects). In addition, low TSR was correlated with tumor stage.

DISCUSSION

The tumor-stroma ratio (TSR) may potentially serve as a poor prognostic predictor for the metastasis and prognosis of cancer.

摘要

主要问题

肿瘤-基质比(TSR)已被报道为多种癌症的预后预测因子。本荟萃分析的目的是探讨 TSR 作为消化系统癌症预后预测因子的潜在价值。

方法

我们检索了 PubMed、Embase、Elsevier 和 Web of Science。所有探讨 TSR 与总生存期(OS)或无病生存期(DFS)以及淋巴结转移(LNM)相关性的研究均被纳入分析。

结果

共有 8 项研究符合分析条件,共纳入 1959 例患者。荟萃分析表明,肿瘤中低 TSR 可预测多种癌症的总体生存不良(合并风险比 [HR]:2.15,95%CI:1.80-2.57,P<0.00001,固定效应)。对于无病生存期(DFS),低 TSR 也是一个显著的预测因素(合并风险比 [HR]:2.31,95%CI:1.88-2.83,P<0.00001,固定效应)。此外,低 TSR 与肿瘤分期相关。

讨论

肿瘤-基质比(TSR)可能是癌症转移和预后不良的潜在预后预测因子。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验