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一种新的 23 对免疫相关基因对的特征可预测皮肤黑色素瘤的预后。

A Novel Signature of 23 Immunity-Related Gene Pairs Is Prognostic of Cutaneous Melanoma.

机构信息

Department of Plastic Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Department of Biological Science, College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, China.

出版信息

Front Immunol. 2020 Oct 19;11:576914. doi: 10.3389/fimmu.2020.576914. eCollection 2020.

DOI:10.3389/fimmu.2020.576914
PMID:33193373
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7604355/
Abstract

In this study, we aimed to identify an immune-related signature for predicting prognosis in cutaneous melanoma (CM). Sample data from The Cancer Genome Atlas (TCGA; n = 460) were used to develop a prognostic signature with 23 immune-related gene pairs (23 IRGPs) for CM. Patients were divided into high- and low-risk groups using the TCGA and validation datasets GSE65904 (n = 214), GSE59455 (n = 141), and GSE22153 (n = 79). The ability of the 23-IRGP signature to predict CM was precise, with the stratified high-risk groups showing a poor prognosis, and it had a significant predictive power when used for immune microenvironment and biological analyses. We subsequently established a novel promising prognostic model in CM to determine the association between the immune microenvironment and CM patient results. This approach may be used to discover signatures in other diseases while avoiding the technical biases associated with other platforms.

摘要

在这项研究中，我们旨在确定一个免疫相关的特征，以预测皮肤黑色素瘤（CM）的预后。使用来自癌症基因组图谱（TCGA；n=460）的样本数据，开发了一个由 23 对免疫相关基因对（23-IRGPs）组成的 CM 预后特征。使用 TCGA 和验证数据集 GSE65904（n=214）、GSE59455（n=141）和 GSE22153（n=79）将患者分为高风险和低风险组。23-IRGP 特征预测 CM 的能力非常精确，分层的高风险组显示出不良的预后，并且在用于免疫微环境和生物学分析时具有显著的预测能力。我们随后在 CM 中建立了一个新的有前途的预后模型，以确定免疫微环境与 CM 患者结果之间的关系。这种方法可以用于发现其他疾病中的特征，同时避免与其他平台相关的技术偏差。

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