Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma

Background: Disulfidptosis is a newly discovered type of cell death. We aim to identify hub genes associated with both disulfidptosis and immune infiltration in hepatocellular carcinoma (HCC) patients, and to develop an individualized risk prediction model. Methods: The TCGA-LIHC cohort was utilized...

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Main Authors: Zhe Xu, Chong Pang, Xundi Xu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024164365
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author Zhe Xu
Chong Pang
Xundi Xu
author_facet Zhe Xu
Chong Pang
Xundi Xu
author_sort Zhe Xu
collection DOAJ
description Background: Disulfidptosis is a newly discovered type of cell death. We aim to identify hub genes associated with both disulfidptosis and immune infiltration in hepatocellular carcinoma (HCC) patients, and to develop an individualized risk prediction model. Methods: The TCGA-LIHC cohort was utilized as the training set to identify molecular subtypes associated with disulfidptosis and to perform immune infiltration analysis. WGCNA, univariate Cox, and LASSO algorithm were employed to select hub genes for constructing the prognostic model. ICGC-LIRI cohort was utilized as an independent testing set. Validation of the expression of hub genes was performed in vitro using qRT-PCR and Western blot. Results: Cluster 1 was identified as the disulfidptosis associated molecular subtype, characterized by higher expression of disulfidptosis related genes (DRGs) and immune infiltration levels. ANXA2, MSC, and ST6GALNAC4 were identified as hub genes for calculating the risk score. The high-risk group were more likely to benefit from immunotherapy, targeted therapy and chemotherapy. A prognostic model was developed combining clinicopathological factors with satisfactory predictive accuracy. The hub genes were found upregulated in HCC cell line. Conclusions: Our findings provide valuable theoretical support for prognostic prediction and the evaluation of therapeutic outcomes in relation to disulfidptosis and immune infiltration in HCC, highlighting the importance of conducting in-depth research on disulfidptosis-related mechanisms.
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spelling doaj-art-724c5a2ab79b4d908906fbe8aab34cbf2025-08-20T02:49:53ZengElsevierHeliyon2405-84402024-12-011023e4040510.1016/j.heliyon.2024.e40405Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinomaZhe Xu0Chong Pang1Xundi Xu2Department of Breast and Thyroid Surgery, South China Hospital, Medical School, Shenzhen University, Shenzhen, 518116, PR ChinaDepartment of Hepatobiliary Pancreatic Surgery, South China Hospital, Medical School, Shenzhen University, Shenzhen, 518116, PR ChinaDepartment of Hepatobiliary Pancreatic Surgery, South China Hospital, Medical School, Shenzhen University, Shenzhen, 518116, PR China; Department of General Surgery, The Second Xiangya Hospital of Central South University, Changsha, PR China; Corresponding author. Department of Hepatobiliary Pancreatic Surgery, South China Hospital, Medical School, Shenzhen University, Shenzhen, 518116, PR China.Background: Disulfidptosis is a newly discovered type of cell death. We aim to identify hub genes associated with both disulfidptosis and immune infiltration in hepatocellular carcinoma (HCC) patients, and to develop an individualized risk prediction model. Methods: The TCGA-LIHC cohort was utilized as the training set to identify molecular subtypes associated with disulfidptosis and to perform immune infiltration analysis. WGCNA, univariate Cox, and LASSO algorithm were employed to select hub genes for constructing the prognostic model. ICGC-LIRI cohort was utilized as an independent testing set. Validation of the expression of hub genes was performed in vitro using qRT-PCR and Western blot. Results: Cluster 1 was identified as the disulfidptosis associated molecular subtype, characterized by higher expression of disulfidptosis related genes (DRGs) and immune infiltration levels. ANXA2, MSC, and ST6GALNAC4 were identified as hub genes for calculating the risk score. The high-risk group were more likely to benefit from immunotherapy, targeted therapy and chemotherapy. A prognostic model was developed combining clinicopathological factors with satisfactory predictive accuracy. The hub genes were found upregulated in HCC cell line. Conclusions: Our findings provide valuable theoretical support for prognostic prediction and the evaluation of therapeutic outcomes in relation to disulfidptosis and immune infiltration in HCC, highlighting the importance of conducting in-depth research on disulfidptosis-related mechanisms.http://www.sciencedirect.com/science/article/pii/S2405844024164365DisulfidptosisImmune infiltrationImmunotherapyHepatocellular carcinomaPrognosis prediction model
spellingShingle Zhe Xu
Chong Pang
Xundi Xu
Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma
Heliyon
Disulfidptosis
Immune infiltration
Immunotherapy
Hepatocellular carcinoma
Prognosis prediction model
title Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma
title_full Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma
title_fullStr Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma
title_full_unstemmed Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma
title_short Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma
title_sort establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma
topic Disulfidptosis
Immune infiltration
Immunotherapy
Hepatocellular carcinoma
Prognosis prediction model
url http://www.sciencedirect.com/science/article/pii/S2405844024164365
work_keys_str_mv AT zhexu establishmentofprognosticriskmodelrelatedtodisulfidptosisandimmuneinfiltrationinhepatocellularcarcinoma
AT chongpang establishmentofprognosticriskmodelrelatedtodisulfidptosisandimmuneinfiltrationinhepatocellularcarcinoma
AT xundixu establishmentofprognosticriskmodelrelatedtodisulfidptosisandimmuneinfiltrationinhepatocellularcarcinoma