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基于宫颈鳞状细胞癌和宫颈管腺癌患者中双硫键相关基因特征预测预后及治疗反应

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.

作者信息

Kang Min, Jiang Sha, Chen Huihui, Xu Youhua, Mo Hui

机构信息

Faculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, 999078, China.

Department of Gynecology, Zhuhai Hospital of Integrated Traditional Chinese and Western Medicine, Zhuhai, 519020, China.

出版信息

Endocr Metab Immune Disord Drug Targets. 2025 Feb 12. doi: 10.2174/0118715303374396250129111340.

Abstract

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.

摘要

背景

二硫化物诱导的细胞焦亡是一种新型的调节性细胞死亡(RCD),但在子宫颈鳞状细胞癌和子宫颈内膜腺癌(CESC)中,二硫化物诱导的细胞焦亡相关基因(DRGs)的病理生理功能及机制仍有待研究。

目的

本研究探讨子宫颈鳞状细胞癌和子宫颈内膜腺癌(CESC)中DRGs的突变状态。

目标

在分析CESC中DRGs的突变谱后,本研究建立了CESC的预后模型,并探讨了高危和低危CESC组之间免疫浸润(组织或器官中免疫系统细胞的积累)、相关富集通路及药物敏感性的差异。

方法

通过访问癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)获取相关数据。使用Mutect2软件分析CESC中DRGs的突变谱,并通过单样本基因集富集分析(ssGSEA)计算二硫化物诱导的细胞焦亡评分。进行加权基因共表达网络分析(WGCNA)以识别模块基因,通过应用生存和glmnet软件包对这些基因进一步筛选并用于构建风险模型。使用survminer软件包对CESC患者进行低危和高危分组。进行基因集富集分析(GSEA)以进行通路分析,并使用MCPcounter软件包、ESTIMATE算法和TIMER算法评估免疫浸润。最后,分别使用TIDE方法和pRRophetic软件包分析免疫治疗反应和药物敏感性。

结果

除NDUFA11外,发现ARL6IP5、EPM2AIP1、GBE1、RBM38、ULK4和ZBTB47是CESC中显著突变的DRGs。整合这六个基因构建了一个曲线下面积(AUC)值相对较高的风险评分模型。确定了两个风险组之间的显著差异,表明该模型高度可靠。值得注意的是,低危组在能量代谢相关通路中富集,而高危组主要在免疫相关通路中富集。高危组比低危组表现出更高的免疫细胞活性、更高的TIDE评分和更多的B细胞。药物敏感性研究表明,高危组对化疗药物更敏感。

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。

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