ArticleEndocrine, metabolic & immune disorders drug targets2026
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
Article in Endocrine, metabolic & immune disorders drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Research progress and potential therapeutic targets of a novel disulfide stress-driven cell death-disulfidptosis in gynecological tumors and other gynecological disorders.American journal of cancer research · 2025Review
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5 authors.
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Abstract
backgroundDisulfidptosis is a new type of regulatory cell death (RCD), but the pathophysiological functions and mechanisms of DRGs in CESC remain to be examined.
aimsThis study explored the mutation status of disulfidptosis-related genes (DRGs) in cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC).
objectiveAfter 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.
methodsThe 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.
resultsExcept 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.
conclusionThis study provides novel insights into CESC prognosis, immunotherapy, and drug development, contributing to the clinical treatment for CESC.
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