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表达在肺癌临床病理特征及预后中的作用:一项荟萃分析。

The role of expression in the clinicopathological features and prognosis of lung cancer: a meta-analysis.

作者信息

Fei Min, Luo Yingquan, Zhou Jian, Yan Qian

机构信息

Department of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, China.

Department of General Medicine, The Second Xiangya Hospital, Central South University, Changsha, China.

出版信息

Transl Cancer Res. 2021 Jan;10(1):99-109. doi: 10.21037/tcr-20-2835.

Abstract

BACKGROUND

While the impact of expression on patients with lung cancer was evaluated in previous studies, the results remained debatable. The relationship between expression and clinicopathological features and prognosis in lung cancer was assessed in the present meta-analysis.

METHODS

Web of Science, PubMed, Embase, Springer, Cochrane Library, China National Knowledge Internet database (CNKI), Wanfang database, Chinese VIP database and Chinese Biological Medical Database (CBM) were searched for relevant publications analyzing the role of in prognosis and clinicopathological features of lung cancer before September 2020. The results were evaluated using pooled odds ratio (OR) and 95% confidence intervals (CIs) calculated by STATA 12.0 software.

RESULTS

Twenty studies with a total of 1,395 patients were enrolled in this meta-analysis based on inclusion and exclusion criteria. expression was significantly associated with smoking status (OR =2.51, 95% CI: 1.70-3.72, P<0.05), lung adenocarcinomas (LAC) (OR =2.16, 95% CI: 1.60-2.92, P<0.05), TNM stage (OR =2.49, 95% CI: 1.63-3.69, P<0.05) and poor differentiation (OR =2.04, 95% CI: 1.35-3.08, P<0.05). expression was significantly related to metastasis (OR =4.22, 95% CI: 2.68-6.64, P<0.05) and lower 5-year overall survival (OR =4.23, 95% CI: 2.60-6.88, P<0.05) of patients with lung cancer.

CONCLUSIONS

The results of our study manifested that expression was significantly related to smoking status, LAC, high TNM stage, poor differentiation, metastasis and 5-year overall survival rate, which indicated that may be a potential biomarker for prognosis of lung cancer.

摘要

背景

虽然先前的研究评估了[具体指标]表达对肺癌患者的影响,但其结果仍存在争议。本荟萃分析评估了[具体指标]表达与肺癌临床病理特征及预后之间的关系。

方法

检索了Web of Science、PubMed、Embase、Springer、Cochrane图书馆、中国知网数据库(CNKI)、万方数据库、中文维普数据库和中国生物医学数据库(CBM),以查找2020年9月之前分析[具体指标]在肺癌预后和临床病理特征中作用的相关出版物。使用STATA 12.0软件计算的合并比值比(OR)和95%置信区间(CI)对结果进行评估。

结果

根据纳入和排除标准,本荟萃分析纳入了20项研究,共1395例患者。[具体指标]表达与吸烟状况(OR = 2.51,95% CI:1.70 - 3.72,P < 0.05)、肺腺癌(LAC)(OR = 2.16,95% CI:1.60 - 2.92,P < 0.05)、TNM分期(OR = 2.49,95% CI:1.63 - 3.69,P < 0.05)和低分化(OR = 2.04,95% CI:1.35 - 3.08,P < 0.05)显著相关。[具体指标]表达与肺癌患者的转移(OR = 4.22,95% CI:2.68 - 6.64,P < 0.05)和较低的5年总生存率(OR = 4.23,95% CI:2.60 - 6.88,P < 0.0

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ec/8798057/ed10e32c3451/tcr-10-01-99-f1.jpg

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