Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer

Through an integrated analysis of single-cell data, transcriptomic profiling, and computational modeling, seven ICD-related genes were identified as highly prognostic for CESC patients. Multivariate analysis demonstrated that low-risk patients had significantly better overall survival compared to high-risk patients, confirming the model as an independent prognostic tool. Assessments of the tumor microenvironment (TME), mutation characteristics, and drug sensitivity within ICDRs risk subgroups indicated a stronger immunotherapy response in the low-risk group.

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Publication Details

Journal
Frontiers in Genetics
Published
2025-04-07
DOI
https://doi.org/10.3389/fgene.2025.1532523
Citations
1
Primary Topic
Immunotherapy and Immune Responses
Type
article
Field-Weighted Citation Impact
0.80

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article

Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer

Ning Li, Yu Si, Li Xiu, Hongting Zhao et al.
1 citations
Frontiers in Genetics
Immunotherapy and Immune Responses
0.80
article

Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer

Ning Li, Yu Si, Li Xiu, Hongting Zhao, Qianyu Ren, Yating Xu
article en
1 citations

Abstract

Through an integrated analysis of single-cell data, transcriptomic profiling, and computational modeling, seven ICD-related genes were identified as highly prognostic for CESC patients. Multivariate analysis demonstrated that low-risk patients had significantly better overall survival compared to high-risk patients, confirming the model as an independent prognostic tool. Assessments of the tumor microenvironment (TME), mutation characteristics, and drug sensitivity within ICDRs risk subgroups indicated a stronger immunotherapy response in the low-risk group.

Frontiers in GeneticsVol. 16
Nanjing University of Chinese Medicine (CN), Jiangsu Province Hospital (CN)
National Natural Science Foundation of China, Government of Jiangsu Province
Openalex Percentile: Top 30%
Immunotherapy and Immune Responses
0.80
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