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基于免疫相关基因对signature 预测皮肤黑色素瘤的临床预后

Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature.

机构信息

Department of Emergency, The Second People's Hospital of Guiyang, Guiyang, China.

Department of Obstetrics and Gynecology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.

出版信息

Bioengineered. 2021 Dec;12(1):1803-1812. doi: 10.1080/21655979.2021.1924556.

DOI:10.1080/21655979.2021.1924556
PMID:34047683
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8806557/
Abstract

Cutaneous melanoma (CM) is a malignant and aggressive skin cancer that is the leading cause of skin cancer-related deaths. Increasing evidence shows that immunity plays a vital role in the prognosis of CM. In this study, we developed an immune-related gene pair (IRGP) signature to predict the clinical prognosis of patients with CM. Immune-related genes from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were selected to construct the IRGPs, and patients with CM in these two cohorts were assigned to low- and high-risk subgroups. Moreover, we investigated the IRGPs and their individualized prognostic signatures using Kaplan-Meier survival analysis, univariate and multivariate Cox analyses, and analysis of immune cell infiltration in CM. A 41-IRGP signature was constructed from 2498 immune genes that could significantly predict the overall survival of patients with CM in both the TCGA and GEO cohorts. Immune infiltration analysis indicated that several immune cells, especially M1 macrophages and activated CD4 T cells, were significantly associated with the prognostic effect of the IRGP signature in patients with CM. Overall, the IRGP signature constructed in this study was useful for determining the prognosis of patients with CM and for providing further understanding of CM immunotherapy.

摘要

皮肤黑色素瘤（CM）是一种恶性且侵袭性的皮肤癌，是导致皮肤癌相关死亡的主要原因。越来越多的证据表明，免疫在 CM 的预后中起着至关重要的作用。在这项研究中，我们开发了一个免疫相关基因对（IRGP）特征来预测 CM 患者的临床预后。从癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）中选择了免疫相关基因来构建 IRGPs，并将这两个队列中的 CM 患者分为低风险和高风险亚组。此外，我们使用 Kaplan-Meier 生存分析、单变量和多变量 Cox 分析以及 CM 中免疫细胞浸润分析来研究 IRGPs 及其个体化预后特征。从 2498 个免疫基因中构建了一个 41-IRGP 特征，该特征可以显著预测 TCGA 和 GEO 队列中 CM 患者的总生存率。免疫浸润分析表明，几种免疫细胞，特别是 M1 巨噬细胞和活化的 CD4 T 细胞，与 CM 患者中 IRGP 特征的预后效应显著相关。总的来说，本研究构建的 IRGP 特征可用于确定 CM 患者的预后，并为 CM 免疫治疗提供进一步的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/7bac402e09d4/KBIE_A_1924556_F0005_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/199374eaf05f/KBIE_A_1924556_UF0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/a981c72e0037/KBIE_A_1924556_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/ec5fe740b4f0/KBIE_A_1924556_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/76fe1f8ca83e/KBIE_A_1924556_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/145a0f4e89f2/KBIE_A_1924556_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/7bac402e09d4/KBIE_A_1924556_F0005_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/199374eaf05f/KBIE_A_1924556_UF0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/a981c72e0037/KBIE_A_1924556_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/ec5fe740b4f0/KBIE_A_1924556_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/76fe1f8ca83e/KBIE_A_1924556_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/145a0f4e89f2/KBIE_A_1924556_F0004_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c1ba/8806557/7bac402e09d4/KBIE_A_1924556_F0005_OC.jpg

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