Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma
Accumulating studies have highlighted the biological significance of immunogenic cell death (ICD) in cancer immunity. However, the influence of ICD on tumor microenvironment (TME) formation and immune response in Hepatocellular carcinoma (HCC) remains largely unexplored. In this study, we systematic...
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Elsevier
2025-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024174117 |
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| author | Dongjing Zhang Bingyun Lu Qianqian Ma Wen Xu Qi Zhang Zhiqi Xiao Yuanheng Li Ren Chen An-jiang Wang |
| author_facet | Dongjing Zhang Bingyun Lu Qianqian Ma Wen Xu Qi Zhang Zhiqi Xiao Yuanheng Li Ren Chen An-jiang Wang |
| author_sort | Dongjing Zhang |
| collection | DOAJ |
| description | Accumulating studies have highlighted the biological significance of immunogenic cell death (ICD) in cancer immunity. However, the influence of ICD on tumor microenvironment (TME) formation and immune response in Hepatocellular carcinoma (HCC) remains largely unexplored. In this study, we systematically analyzed the mRNA profiles of ICD-related genes in 1847 HCC patients and identified three molecular subtypes with significantly different immune features and prognostic stratification. A reliable risk model named ICD score was constructed via machine learning algorithms to assess the immunological status, therapeutic responses, and clinical outcomes of individual HCC patients. High ICD score indicated an immune-excluded TME phenotype, with lower anticancer immunity and shorter survival time. In contrast, low ICD score corresponded to abundant immune cell infiltration, high sensitivity to immunotherapy and a positive prognosis, indicating an “immune-hot” phenotype. Pan-cancer analysis further validated a negative association between ICD score and the immune cell infiltration levels. In conclusion, our findings revealed that the ICD score could serve as a robust prognostic biomarker to predict the benefits of immunotherapy and optimize the clinical decision-making of HCC patients. |
| format | Article |
| id | doaj-art-f9cbd3e46bfd4241972a3ae0195dfbbe |
| institution | Kabale University |
| issn | 2405-8440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj-art-f9cbd3e46bfd4241972a3ae0195dfbbe2025-02-02T05:27:47ZengElsevierHeliyon2405-84402025-01-01112e41380Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinomaDongjing Zhang0Bingyun Lu1Qianqian Ma2Wen Xu3Qi Zhang4Zhiqi Xiao5Yuanheng Li6Ren Chen7An-jiang Wang8Department of Gastroenterology and Hepatology, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, ChinaDepartment of Gastroenterology and Hepatology, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, ChinaDepartment of Infectious Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, ChinaDepartment of Gastroenterology and Hepatology, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, ChinaDepartment of Gastroenterology and Hepatology, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, ChinaDepartment of Gastroenterology and Hepatology, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, ChinaQueen Mary School, Nanchang University, Nanchang, Jiangxi, ChinaDepartment of Infectious Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China; Corresponding author.crlmczx@163.comDepartment of Gastroenterology and Hepatology, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China; Corresponding author.Accumulating studies have highlighted the biological significance of immunogenic cell death (ICD) in cancer immunity. However, the influence of ICD on tumor microenvironment (TME) formation and immune response in Hepatocellular carcinoma (HCC) remains largely unexplored. In this study, we systematically analyzed the mRNA profiles of ICD-related genes in 1847 HCC patients and identified three molecular subtypes with significantly different immune features and prognostic stratification. A reliable risk model named ICD score was constructed via machine learning algorithms to assess the immunological status, therapeutic responses, and clinical outcomes of individual HCC patients. High ICD score indicated an immune-excluded TME phenotype, with lower anticancer immunity and shorter survival time. In contrast, low ICD score corresponded to abundant immune cell infiltration, high sensitivity to immunotherapy and a positive prognosis, indicating an “immune-hot” phenotype. Pan-cancer analysis further validated a negative association between ICD score and the immune cell infiltration levels. In conclusion, our findings revealed that the ICD score could serve as a robust prognostic biomarker to predict the benefits of immunotherapy and optimize the clinical decision-making of HCC patients.http://www.sciencedirect.com/science/article/pii/S2405844024174117Immunogenic cell deathTumor microenvironmentPrognosisPrecision treatmentHepatocellular carcinoma |
| spellingShingle | Dongjing Zhang Bingyun Lu Qianqian Ma Wen Xu Qi Zhang Zhiqi Xiao Yuanheng Li Ren Chen An-jiang Wang Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma Heliyon Immunogenic cell death Tumor microenvironment Prognosis Precision treatment Hepatocellular carcinoma |
| title | Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma |
| title_full | Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma |
| title_fullStr | Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma |
| title_full_unstemmed | Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma |
| title_short | Identification of a novel immunogenic cell death-related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma |
| title_sort | identification of a novel immunogenic cell death related classifier to predict prognosis and optimize precision treatment in hepatocellular carcinoma |
| topic | Immunogenic cell death Tumor microenvironment Prognosis Precision treatment Hepatocellular carcinoma |
| url | http://www.sciencedirect.com/science/article/pii/S2405844024174117 |
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