Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma
Abstract Background Disulfidptosis is a type of programmed cell death caused by excessive cysteine-induced disulfide bond denaturation leading to actin collapse. Liver cancer has a poor prognosis and requires more effective intervention strategies. Currently, the prognostic and therapeutic value of...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | Cancer Cell International |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12935-023-03188-y |
| _version_ | 1797355531605639168 |
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| author | Jun Tang Xintong Peng Desheng Xiao Shuang Liu Yongguang Tao Long Shu |
| author_facet | Jun Tang Xintong Peng Desheng Xiao Shuang Liu Yongguang Tao Long Shu |
| author_sort | Jun Tang |
| collection | DOAJ |
| description | Abstract Background Disulfidptosis is a type of programmed cell death caused by excessive cysteine-induced disulfide bond denaturation leading to actin collapse. Liver cancer has a poor prognosis and requires more effective intervention strategies. Currently, the prognostic and therapeutic value of disulfidptosis in liver cancer is not clear. Methods We investigated the features of 16 disulfidptosis-related genes (DRGs) of HCC patients in the TCGA and classified the patients into two disulfidptosis pattern clusters by consensus clustering analysis. Then, we constructed a prognostic model using LASSO Cox regression. Next, the microenvironment and drug sensitivity were evaluated. Finally, we used qPCR and functional analysis to verify the reliability of hub DRGs. Results Most of the DRGs showed significantly higher expression in cancer tissues than in adjacent tissues. Our prognostic model, the DRG score, can well predict the survival of HCC patients. There were significant differences in survival, features of the microenvironment, effects of immunotherapy, and drug sensitivity between the high- and low-DRG score groups. Ultimately, we demonstrated that a few hub DRGs have differential mRNA expression between liver cancer cells and normal cells and that the protective gene LCAT can inhibit liver cancer metastasis in vitro. Conclusion We established a novel risk model based on DRG scores to predict HCC patient prognosis, drug sensitivity and immunotherapy efficacy, which provides new insight into the relationship between disulfidptosis and HCC and provides valuable assistance for the personalized treatment of HCC. |
| first_indexed | 2024-03-08T14:12:30Z |
| format | Article |
| id | doaj.art-bfb8fd78bed649ca854c5c7a035141e1 |
| institution | Directory Open Access Journal |
| issn | 1475-2867 |
| language | English |
| last_indexed | 2024-03-08T14:12:30Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Cell International |
| spelling | doaj.art-bfb8fd78bed649ca854c5c7a035141e12024-01-14T12:37:17ZengBMCCancer Cell International1475-28672024-01-0124111610.1186/s12935-023-03188-yDisulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinomaJun Tang0Xintong Peng1Desheng Xiao2Shuang Liu3Yongguang Tao4Long Shu5Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South UniversityKey Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South UniversityDepartment of Pathology, Xiangya Hospital, Central South UniversityDepartment of Oncology, Institute of Medical Sciences, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South UniversityKey Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South UniversityKey Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic Medicine, Central South UniversityAbstract Background Disulfidptosis is a type of programmed cell death caused by excessive cysteine-induced disulfide bond denaturation leading to actin collapse. Liver cancer has a poor prognosis and requires more effective intervention strategies. Currently, the prognostic and therapeutic value of disulfidptosis in liver cancer is not clear. Methods We investigated the features of 16 disulfidptosis-related genes (DRGs) of HCC patients in the TCGA and classified the patients into two disulfidptosis pattern clusters by consensus clustering analysis. Then, we constructed a prognostic model using LASSO Cox regression. Next, the microenvironment and drug sensitivity were evaluated. Finally, we used qPCR and functional analysis to verify the reliability of hub DRGs. Results Most of the DRGs showed significantly higher expression in cancer tissues than in adjacent tissues. Our prognostic model, the DRG score, can well predict the survival of HCC patients. There were significant differences in survival, features of the microenvironment, effects of immunotherapy, and drug sensitivity between the high- and low-DRG score groups. Ultimately, we demonstrated that a few hub DRGs have differential mRNA expression between liver cancer cells and normal cells and that the protective gene LCAT can inhibit liver cancer metastasis in vitro. Conclusion We established a novel risk model based on DRG scores to predict HCC patient prognosis, drug sensitivity and immunotherapy efficacy, which provides new insight into the relationship between disulfidptosis and HCC and provides valuable assistance for the personalized treatment of HCC.https://doi.org/10.1186/s12935-023-03188-yDisulfidptosisHepatocellular carcinomaImmune microenvironmentPrognostic model |
| spellingShingle | Jun Tang Xintong Peng Desheng Xiao Shuang Liu Yongguang Tao Long Shu Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma Cancer Cell International Disulfidptosis Hepatocellular carcinoma Immune microenvironment Prognostic model |
| title | Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma |
| title_full | Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma |
| title_fullStr | Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma |
| title_full_unstemmed | Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma |
| title_short | Disulfidptosis-related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma |
| title_sort | disulfidptosis related signature predicts prognosis and characterizes the immune microenvironment in hepatocellular carcinoma |
| topic | Disulfidptosis Hepatocellular carcinoma Immune microenvironment Prognostic model |
| url | https://doi.org/10.1186/s12935-023-03188-y |
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