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固有自然杀伤 T 细胞在实体瘤和血液系统肿瘤中的预后影响:系统评价和荟萃分析。

Prognostic impact of invariant natural killer T cells in solid and hematological tumors; systematic review and meta-analysis.

出版信息

Cancer Biomark. 2024;41(2):155-164. doi: 10.3233/CBM-240069.

Abstract

BACKGROUND

Invariant natural killer T (iNKT) cells are an immune subset that purportedly link the adaptive and the innate arms of the immune system. Importantly, iNKT cells contribute to anti-cancer immunity in different types of hematological and solid malignancies by secreting pro-inflammatory cytokines. Therefore, using such cells in treating different type of tumors would be an ideal candidate for cancer immunotherapy.

OBJECTIVE

To assess the prognostic effect of iNKT cells across different types of solid and hematological tumors.

METHODS

In systematic review and meta-analysis, articles assessed the prognostic effect of iNKT cells were systemically searched using the scientific databases including Google Scholar, ScienceDirect, PubMed, Cochrane Central, and Scopus.

RESULTS

Strikingly, the analysis showed the positive impact of intratumoral or circulating iNKT cells on the survival rate in patients with all studied tumors with overall effect of a pooled hazard ratio of 0.89 (95% CI 0.81 to 0.98; p= 0.01). A highly statistical heterogeneity was noted between studied tumor with I2 = 87%; p= 0.00001.

CONCLUSIONS

Taken together, this study would present a new insight into the impact of iNKT cells correlate with caner patients' survival rate and how such cells would be used as a therapeutic target in these patients.

摘要

背景

固有自然杀伤 T(iNKT)细胞是一种免疫亚群,据称它将免疫系统的适应性和固有部分联系起来。重要的是,iNKT 细胞通过分泌促炎细胞因子,为不同类型的血液系统和实体恶性肿瘤的抗肿瘤免疫做出贡献。因此,在治疗不同类型的肿瘤中使用此类细胞将是癌症免疫治疗的理想候选者。

目的

评估 iNKT 细胞在不同类型的实体瘤和血液系统肿瘤中的预后作用。

方法

在系统评价和荟萃分析中,使用包括 Google Scholar、ScienceDirect、PubMed、Cochrane Central 和 Scopus 在内的科学数据库系统地搜索评估 iNKT 细胞预后作用的文章。

结果

引人注目的是,分析表明,肿瘤内或循环中的 iNKT 细胞对所有研究肿瘤患者的生存率有积极影响,总体效应的合并危险比为 0.89(95%CI 0.81 至 0.98;p=0.01)。研究肿瘤之间存在高度统计学异质性,I2=87%;p=0.00001。

结论

综上所述,本研究将为 iNKT 细胞与癌症患者生存率的相关性及其如何作为这些患者的治疗靶点提供新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/848f/11492061/bebd2cc4224b/cbm-41-cbm240069-g001.jpg

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