基于宫颈鳞状细胞癌和宫颈内膜腺癌患者二硫中毒相关基因特征的预后和治疗反应预测

Min Kang, Sha Jiang, Huihui Chen, Youhua Xu, Hui Mo
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引用次数: 0

摘要

背景:二硫下垂是一种新型的调节性细胞死亡(RCD),但DRGs在CESC中的病理生理功能和机制仍有待研究。目的:探讨宫颈鳞状细胞癌和宫颈内膜腺癌(CESC)中二硫塌陷相关基因(DRGs)的突变情况。目的:通过分析CESC中DRGs的突变谱,建立CESC的预后模型,探讨CESC高危组与低危组在免疫浸润(免疫系统细胞在组织或器官的积聚)、相关富集途径、药物敏感性等方面的差异。方法:利用肿瘤基因组图谱(TCGA)和基因表达图谱(GEO)获取相关数据。使用Mutect2软件分析CESC中DRGs的突变谱,并使用ssGSEA计算双侧下垂评分。采用WGCNA方法鉴定模块化基因,对其进行进一步筛选,并应用生存包和glmnet包建立风险模型。使用survminer包对CESC患者进行低危组和高危组的分类。GSEA进行通路分析,使用MCPcounter包、ESTIMATE和TIMER算法评估免疫浸润。最后分别用TIDE法和prophytic包分析免疫治疗反应和药物敏感性。结果:除NDUFA11外,在CESC中还发现了ARL6IP5、EPM2AIP1、GBE1、RBM38、ULK4、ZBTB47等显著突变的DRGs。将这6个基因整合到一个具有较高曲线下面积(AUC)值的RiskScore模型中。两个风险组之间存在显著差异,表明该模型具有较高的可靠性。值得注意的是,低危组富集了能量代谢相关通路,而高危组主要富集了免疫相关通路。高危组免疫细胞活性、TIDE评分、B细胞数量均高于低危组。药物敏感性研究显示,高危人群对化疗药物更为敏感。结论:本研究为CESC的预后、免疫治疗和药物开发提供了新的见解,有助于CESC的临床治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of the Prognosis and Treatment Responses Based on the Characteristics of Disulfidptosis-Related Genes in Patients with Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma.

Background: Disulfidptosis is a new type of regulatory cell death (RCD), but the pathophysiological functions and mechanisms of DRGs in CESC remain to be examined.

Aims: This study explored the mutation status of disulfidptosis-related genes (DRGs) in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC).

Objective: After analyzing the mutation profiles of DRGs in CESC, this study established a prognostic model for CESC and also explored the differences in immune infiltration (accumulation of immune system cells in tissues or organs), related enriched pathways, and drug sensitivity between high-risk and low-risk CESC groups.

Methods: The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) were accessed to source related data. The mutation profiles of DRGs in CESC were analyzed using Mutect2 software, and disulfidptosis scores were calculated by ssGSEA. WGCNA was performed to identify modular genes, which were further filtered and used to formulate a risk model by applying the survival and glmnet packages. Low- and high-risk groups of CESC patients were classified using the survminer package. GSEA was performed to conduct pathway analysis, and immune infiltration was assessed using the MCPcounter package, ESTIMATE, and TIMER algorithms. Finally, immunotherapy response and drug sensitivity were analyzed using the TIDE method and the pRRophetic package, respectively.

Results: Except for NDUFA11, ARL6IP5, EPM2AIP1, GBE1, RBM38, ULK4, and ZBTB47 were found to be the DRGs significantly mutated in CESC. The six genes were integrated to develop a RiskScore model with a relatively high Area Under the Curve (AUC) value. Significant differences between the two risk groups were determined, indicating that the model was highly reliable. Notably, the low-risk group was enriched in energy metabolism-correlated pathways, while the high-risk group was primarily enriched in immune-correlated pathways. The high-risk group showed higher immune cell activity, higher TIDE score, and more B cells than the low-risk group. Drug sensitivity study revealed that the high-risk group was more sensitive to chemotherapy drugs.

Conclusion: This study provides novel insights into CESC prognosis, immunotherapy, and drug development, contributing to the clinical treatment for CESC.

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