Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer
BackgroundThe role of immunogenic cell death (ICD) in cervical cancer (CESC) is not well understood. This study sought to investigate the significance of ICD in CESC and to establish an ICDRs prognostic model to improve immunotherapy efficacy for patients with cervical cancer.MethodsICD-associated g...
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Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2025.1532523/full |
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| author | Li Ning Li Ning Xiu Li Xiu Li Yating Xu Yating Xu Yu Si Yu Si Hongting Zhao Qinling Ren Qinling Ren |
| author_facet | Li Ning Li Ning Xiu Li Xiu Li Yating Xu Yating Xu Yu Si Yu Si Hongting Zhao Qinling Ren Qinling Ren |
| author_sort | Li Ning |
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| description | BackgroundThe role of immunogenic cell death (ICD) in cervical cancer (CESC) is not well understood. This study sought to investigate the significance of ICD in CESC and to establish an ICDRs prognostic model to improve immunotherapy efficacy for patients with cervical cancer.MethodsICD-associated genes were screened at the single-cell and transcriptome levels based on AddModuleScore, single-sample gene set enrichment analysis (ssGSEA) and weighted gene co-expression network (WGCNA) analysis. Immunogenic cell death-related features (ICDRs) were constructed using multiple machine algorithms, and ICDRs were evaluated in training and validation sets to provide quantitative tools for predicting prognosis in clinical practice. Predictive models were used to risk subgroups for response to immunotherapy, as well as drug sensitivity. Finally, the expression of ICD-related genes was verified by RT-qPCR.ResultsThrough 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. |
| format | Article |
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| institution | DOAJ |
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| language | English |
| publishDate | 2025-04-01 |
| publisher | Frontiers Media S.A. |
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| spelling | doaj-art-d644134d869d4b53afb4ab1ae3bc94022025-08-20T03:09:27ZengFrontiers Media S.A.Frontiers in Genetics1664-80212025-04-011610.3389/fgene.2025.15325231532523Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancerLi Ning0Li Ning1Xiu Li2Xiu Li3Yating Xu4Yating Xu5Yu Si6Yu Si7Hongting Zhao8Qinling Ren9Qinling Ren10Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, ChinaThe Chinese Clinical Medicine Innovation Center of Obstetrics, Gynecology, and Reproduction in Jiangsu Province, Nanjing, Jiangsu, ChinaAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, ChinaThe Chinese Clinical Medicine Innovation Center of Obstetrics, Gynecology, and Reproduction in Jiangsu Province, Nanjing, Jiangsu, ChinaAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, ChinaThe Chinese Clinical Medicine Innovation Center of Obstetrics, Gynecology, and Reproduction in Jiangsu Province, Nanjing, Jiangsu, ChinaAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, ChinaThe Chinese Clinical Medicine Innovation Center of Obstetrics, Gynecology, and Reproduction in Jiangsu Province, Nanjing, Jiangsu, ChinaThe Chinese Clinical Medicine Innovation Center of Obstetrics, Gynecology, and Reproduction in Jiangsu Province, Nanjing, Jiangsu, ChinaAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, ChinaThe Chinese Clinical Medicine Innovation Center of Obstetrics, Gynecology, and Reproduction in Jiangsu Province, Nanjing, Jiangsu, ChinaBackgroundThe role of immunogenic cell death (ICD) in cervical cancer (CESC) is not well understood. This study sought to investigate the significance of ICD in CESC and to establish an ICDRs prognostic model to improve immunotherapy efficacy for patients with cervical cancer.MethodsICD-associated genes were screened at the single-cell and transcriptome levels based on AddModuleScore, single-sample gene set enrichment analysis (ssGSEA) and weighted gene co-expression network (WGCNA) analysis. Immunogenic cell death-related features (ICDRs) were constructed using multiple machine algorithms, and ICDRs were evaluated in training and validation sets to provide quantitative tools for predicting prognosis in clinical practice. Predictive models were used to risk subgroups for response to immunotherapy, as well as drug sensitivity. Finally, the expression of ICD-related genes was verified by RT-qPCR.ResultsThrough 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.https://www.frontiersin.org/articles/10.3389/fgene.2025.1532523/fullmulti-omicssingle-cell RNAICDsimmune prognosistherapy efficacyalgorithms |
| spellingShingle | Li Ning Li Ning Xiu Li Xiu Li Yating Xu Yating Xu Yu Si Yu Si Hongting Zhao Qinling Ren Qinling Ren Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer Frontiers in Genetics multi-omics single-cell RNA ICDs immune prognosis therapy efficacy algorithms |
| title | Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer |
| title_full | Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer |
| title_fullStr | Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer |
| title_full_unstemmed | Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer |
| title_short | Immunogenic cell death genes in single-cell and transcriptome analyses perspectives from a prognostic model of cervical cancer |
| title_sort | immunogenic cell death genes in single cell and transcriptome analyses perspectives from a prognostic model of cervical cancer |
| topic | multi-omics single-cell RNA ICDs immune prognosis therapy efficacy algorithms |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2025.1532523/full |
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