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一种新型的四基因标志物可预测不同癌症患者的免疫治疗反应。

A novel four-gene signature predicts immunotherapy response of patients with different cancers.

机构信息

Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei, China.

Department of Dermatology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, China.

出版信息

J Clin Lab Anal. 2022 Jul;36(7):e24494. doi: 10.1002/jcla.24494. Epub 2022 May 19.

Abstract

BACKGROUND

Immune checkpoint blockade (ICB) therapy has demonstrated favorable clinical efficacy, particularly for advanced or difficult-to-treat cancer types. However, this therapy is ineffective for many patients displaying lack of immune response or resistance to ICB. This study aimed to establish a novel four-gene signature (CD8A, CD8B, TCF7, and LEF1) to provide a prognostic immunotherapy biomarker for different cancers.

METHODS

Transcriptome profiles and clinical data were obtained from The Cancer Genome Atlas database. Multivariate Cox regression analysis was used to establish a four-gene signature. The R package estimate was used to obtain the immune score for every patient.

RESULTS

Risk scores of the novel four-gene signature could effectively divided all patients into high- and low-risk groups, with distinct outcomes. The immune score calculated via the estimate package demonstrated that the four-gene signature was significantly associated with the immune infiltration level. Furthermore, the four-gene signature could predict the response to atezolizumab immunotherapy in patients with metastatic urothelial cancer.

CONCLUSIONS

The novel four-gene signature developed in this study is a good prognostic biomarker, as it could identify many kinds of patients with cancer who are likely to respond to and benefit from immunotherapy.

摘要

背景

免疫检查点阻断(ICB)疗法已显示出良好的临床疗效,特别是对于晚期或难以治疗的癌症类型。然而,对于许多表现出缺乏免疫反应或对 ICB 耐药的患者,这种疗法无效。本研究旨在建立一个新的四基因特征(CD8A、CD8B、TCF7 和 LEF1),为不同癌症提供预后免疫治疗生物标志物。

方法

从癌症基因组图谱数据库中获取转录组谱和临床数据。使用多变量 Cox 回归分析建立四基因特征。使用 R 包 estimate 获得每个患者的免疫评分。

结果

新的四基因特征的风险评分可以有效地将所有患者分为高风险和低风险组,具有明显的结果。通过 estimate 包计算的免疫评分表明,四基因特征与免疫浸润水平显著相关。此外,该四基因特征可预测转移性尿路上皮癌患者对阿替利珠单抗免疫治疗的反应。

结论

本研究中开发的新的四基因特征是一种良好的预后生物标志物,因为它可以识别出许多可能对免疫治疗有反应并从中受益的癌症患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8397/9279975/8f0b06cddf7e/JCLA-36-e24494-g001.jpg

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