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肿瘤-基质比对非小细胞肺癌患者生存的预测作用:一项荟萃分析。

Predictive Role of Tumor-Stroma Ratio for Survival of Patients With Non-Small Cell Lung Cancer: A Meta-Analysis.

机构信息

Department of Respiratory and Critical Care Medicine, Yantai Mountain Hospital, Yantai, China.

出版信息

Pathol Oncol Res. 2022 Jan 21;27:1610021. doi: 10.3389/pore.2021.1610021. eCollection 2021.

Abstract

Role of tumor-stroma ratio (TSR) as a predictor of survival in patients with non-small cell lung cancer (NSCLC) remains not clear. A systematic review and meta-analysis was conducted to summarize current evidence for the role of TSR in NSCLC. Relevant cohort studies were retrieved via search of Medline, Embase, and Web of Science databases. The data was combined with a random-effect model by incorporating the between-study heterogeneity. Specifically, subgroup and meta-regression analyses were performed to explore the association between TSR and survival in patients with squamous cell carcinoma (SCC) or adenocarcinoma (AC). Nine cohort studies with 2031 patients with NSCLC were eligible for the meta-analysis. Pooled results showed that compared to those stroma-poor tumor, patients with stroma rich NSCLC were associated with worse recurrence-free survival (RFS, hazard ratio [HR] = 1.52, 95% confidence interval [CI]: 1.07 to 2.16, = 0.02) and overall survival (OS, HR = 1.48, 95% CI: 1.20 to 1.82, < 0.001). Subgroup analyses showed that stroma-rich tumor may be associated with a worse survival of SCC (HR = 1.89 and 1.47 for PFS and OS), but a possibly favorable survival of AC (HR = 0.28 and 0.69 for PFS and OS). Results of meta-regression analysis also showed that higher proportion of patients with SCC was correlated with higher HRs for RFS (Coefficient = 0.012, = 0.03) and OS (Coefficient = 0.014, = 0.02) in the included patients, while higher proportion of patients with AC was correlated with lower HRs for RFS (Coefficient = -0.012, = 0.03) and OS (Coefficient = -0.013, = 0.04), respectively. Tumor TSR could be used as a predictor of survival in patients with NSCLC. The relative proportion of patients with SCC/AC in the included NSCLC patients may be an important determinant for the association between TSR and survival in NSCLC. Stroma richness may be a predictor of poor survival in patients with lung SCC, but a predictor of better survival in patients with lung AC.

摘要

肿瘤-基质比(TSR)作为非小细胞肺癌(NSCLC)患者生存的预测因子尚不清楚。进行了系统评价和荟萃分析,以总结 TSR 在 NSCLC 中的作用的现有证据。通过搜索 Medline、Embase 和 Web of Science 数据库检索了相关的队列研究。通过纳入研究间异质性的随机效应模型,将数据合并在一起。具体来说,进行了亚组和荟萃回归分析,以探讨 TSR 与鳞状细胞癌(SCC)或腺癌(AC)患者生存之间的关系。有 9 项队列研究纳入了 2031 例 NSCLC 患者进行荟萃分析。汇总结果表明,与基质贫乏的肿瘤相比,基质丰富的 NSCLC 患者的无复发生存率(RFS,风险比[HR] = 1.52,95%置信区间[CI]:1.07 至 2.16, = 0.02)和总生存期(OS,HR = 1.48,95%CI:1.20 至 1.82, < 0.001)更差。亚组分析表明,基质丰富的肿瘤可能与 SCC 的生存较差相关(PFS 和 OS 的 HR 分别为 1.89 和 1.47),但可能与 AC 的生存较好相关(PFS 和 OS 的 HR 分别为 0.28 和 0.69)。荟萃回归分析的结果还表明,纳入患者中 SCC 患者比例较高与 RFS(系数=0.012, = 0.03)和 OS(系数=0.014, = 0.02)的 HR 较高相关,而 AC 患者比例较高与 RFS(系数=-0.012, = 0.03)和 OS(系数=-0.013, = 0.04)的 HR 较低相关。肿瘤 TSR 可作为 NSCLC 患者生存的预测因子。纳入的 NSCLC 患者中 SCC/AC 患者的相对比例可能是 TSR 与 NSCLC 患者生存之间关系的重要决定因素。基质丰富可能是 SCC 患者生存不良的预测指标,但可能是 AC 患者生存较好的预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc36/8817052/ebab2c11a23a/pore-27-1610021-g001.jpg

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