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TIL(肿瘤浸润淋巴细胞)在黑色素瘤预后与治疗策略中的作用:系统综述与荟萃分析

英文原题:Role of tumor-infiltrating lymphocytes in melanoma prognosis and treatment strategies: A systematic review and meta-analysis.

查看英文原题

Role of tumor-infiltrating lymphocytes in melanoma prognosis and treatment strategies: A systematic review and meta-analysis.

PubMed 2024/06/06(内容时间) Heliyon

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研究概要

TILs 具有作为易于应用的预后因素的潜力。然而,进一步研究其密度和表型亚群特征,可以增强我们对其在制定最佳患者特异性治疗中的预测价值的理解。

研究思路结论见上方概要

大量研究强调了TIL(肿瘤浸润淋巴细胞)(TILs)作为黑色素瘤重要预后因素的相关性。本meta分析旨在提供全面的文献概述,阐明其在预测患者结局中的作用,特别是探讨TIL密度与预后之间的关联。

从最初6094条记录中,16项符合纳入标准,共涵盖16021例患者。从每项研究中提取TIL计数、临床特征和生存指标(5年总生存期[5yOS]、10年总生存期[10yOS]和5年黑色素瘤特异性生存期[5yMSS])数据,并以比例表示。结果通过森林图以图形方式呈现,报告各单项研究的估计值、汇总估计值及相应的95%CI。

分析显示,5yOS在亚组差异方面存在统计学显著差异。然而,10yOS和5yMSS未表现出统计学显著性。尽管如此,仍呈现出一致趋势,表明免疫细胞密度越高,生存率越高,从TILs缺失到活跃水平不等。

展开英文摘要原文

Numerous studies underscore the relevance of tumor-infiltrating-lymphocytes (TILs) as important prognostic factors for melanoma. This meta-analysis aims to provide a comprehensive literature overview elucidating their role in predicting patient outcomes, specifically investigating the association between TIL density and prognosis.

From an initial pool of 6094 records, 16 met the eligibility criteria, encompassing a collective cohort of 16021 patients. Data on TIL counts, clinical characteristics, and survival metrics (5-year overall survival [5yOS], 10-year overall survival [10yOS], and 5-year melanoma-specific survival [5yMSS]) were extracted from each study and expressed as proportions. Results were graphically presented using forest plots, reporting the estimates from individual studies, summary estimates, and corresponding 95 % confidence intervals (CI).

Analysis revealed a statistically significant difference in 5yOS concerning subgroup differences However, 10yOS and 5yMSS did not exhibit statistical significance. Nonetheless, a consistent trend emerged indicating a higher survival rate corresponding to increased immune cell density, ranging from absent TILs to brisk levels.

TILs present potential as a readily applicable prognostic factor. Yet, further investigations into their density and phenotypic subpopulation characteristics could enhance our understanding of their predictive value in tailoring optimal patient-specific therapies.

论文信息

作者
Garutti M、Bruno R、Polesel J、Pizzichetta MA、Puglisi F
单位
CRO Aviano, National Cancer Institute, IRCCS, 33081, Aviano, Italy.Italy
期刊
Heliyon2024 Jun 30
原文标识
PubMed 39183829 · DOI 10.1016/j.heliyon.2024.e32433