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一种新型的与细胞焦亡相关的基因特征可预测子宫内膜癌的预后。

A Novel Defined Pyroptosis-Related Gene Signature for Predicting the Prognosis of Endometrial Cancer.

机构信息

Department of Pathology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong Province, China.

Department of Pathology, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, Guangdong Province, China.

出版信息

Dis Markers. 2022 Dec 16;2022:7570494. doi: 10.1155/2022/7570494. eCollection 2022.

DOI:10.1155/2022/7570494
PMID:36601599
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9806687/
Abstract

Endometrial carcinoma (EC) is the second major female genital malignancy. Genetic signatures may be an improved choice to predict the prognosis of EC patients. The relationship between pyroptosis and tumours has attracted much attention in recent years. Here, we constructed a new pyroptosis-related gene (PRG) signature for predicting the prognosis of EC. In this study, gene data and clinical information of EC patients were obtained from The Cancer Genome Atlas (TCGA). Following the identification of PRGs correlated with EC prognosis, we further investigate the bioinformatics functions of these PRGs by univariate Cox regression analysis and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Then, we used the least absolute contraction and selection operator (LASSO) regression and multiple Cox regression analysis to construct a new PRG signature that contains seven PRGs (NFKB1, EEF2K, CTSV, MDM2, GZMB, PANX1, and PTEN) and performed the Kaplan-Meier (K-M) analysis, receiver operating characteristic curve (ROC) analysis, and principal component analysis (PCA) to evaluate the prognostic value of our novel PRG signature. Finally, we assessed the correlations between pyroptosis and immune cells/checkpoints through the CIBERSORT tool and single-sample gene set enrichment analysis (ssGSEA). The result suggested that our signature was powerful in predicting EC prognosis and may play a part in assessing response to immunotherapy in EC patients. In conclusion, our study established a novel PRG signature for EC, which can be used as an effective prognostic marker in clinical practice in the future.

摘要

子宫内膜癌(EC)是女性第二大常见的生殖系统恶性肿瘤。遗传特征可能是预测 EC 患者预后的更好选择。近年来,细胞焦亡与肿瘤之间的关系引起了广泛关注。在这里,我们构建了一个新的细胞焦亡相关基因(PRG)signature,用于预测 EC 的预后。本研究从癌症基因组图谱(TCGA)中获取了 EC 患者的基因数据和临床信息。在确定与 EC 预后相关的 PRG 后,我们通过单变量 Cox 回归分析和基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析进一步研究这些 PRG 的生物信息学功能。然后,我们使用最小绝对收缩和选择算子(LASSO)回归和多变量 Cox 回归分析构建了一个包含七个 PRG(NFKB1、EEF2K、CTSV、MDM2、GZMB、PANX1 和 PTEN)的新 PRG signature,并进行 Kaplan-Meier(K-M)分析、接收者操作特征曲线(ROC)分析和主成分分析(PCA),以评估我们新的 PRG signature 的预后价值。最后,我们通过 CIBERSORT 工具和单样本基因集富集分析(ssGSEA)评估了细胞焦亡与免疫细胞/检查点之间的相关性。结果表明,我们的 signature 能够有效地预测 EC 的预后,并可能在评估 EC 患者免疫治疗反应方面发挥作用。总之,我们的研究建立了一个用于 EC 的新的 PRG signature,它可能成为未来临床实践中有效的预后标志物。

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