文献类型：期刊文献

英文题名：Identification of cuproptosis and ferroptosis-related subgroups and development of a signature for predicting prognosis and tumor microenvironment landscape in hepatocellular carcinoma

作者：Yang, Bin-Feng[1,4];Ma, Qi[2];Hui, Yuan[2];Gao, Xiang-Chun[2];Ma, Da-You[2];Li, Jing-Xian[2];Pei, Zheng-Xue[3];Huang, Bang-Rong[1]

第一作者：Yang, Bin-Feng

通信作者：Yang, BF[1]

机构：[1]Gansu Prov Hosp Tradit Chinese Med, Dept Oncol, Lanzhou, Peoples R China;[2]Gansu Univ Tradit Chinese Med, Sch Integrat Med, Lanzhou, Peoples R China;[3]Gansu Prov Canc Hosp, Dept Nucl Med, Lanzhou 730050, Gansu, Peoples R China;[4]Gansu Prov Hosp Tradit Chinese Med, Dept Oncol, Guazhou Rd, Lanzhou 730050, Peoples R China

第一机构：Gansu Prov Hosp Tradit Chinese Med, Dept Oncol, Lanzhou, Peoples R China

通信机构：[1]corresponding author), Gansu Prov Hosp Tradit Chinese Med, Dept Oncol, Guazhou Rd, Lanzhou 730050, Peoples R China.

年份：2023

卷号：12

期号：12

起止页码：3327

外文期刊名：TRANSLATIONAL CANCER RESEARCH

收录：;Scopus(收录号：2-s2.0-85182233538);WOS:【SCI-EXPANDED(收录号:WOS:001135708000001)】；

基金：The study was supported by fundings from Natural Science Foundation of Gansu Province Project (No. 21JR1RA054); Gansu Province Science and Technology Foundation (No. 18JR2FA001); Gansu Province Education Science and Technology Innovation Project (No.2022CXZX-756); and Provincial Regional Chinese Medicine (Special) Diagnosis and Treatment Project: Tumor Multidisciplinary Diagnosis and Treatment Center.

语种：英文

外文关键词：Ferroptosis; cuproptosis; hepatocellular carcinoma (HCC); tumor microenvironment landscape (TME landscape); prognostic signature

摘要：Background: Ferroptosis and cuproptosis play a crucial role in the progression and dissemination of hepatocellular carcinoma (HCC). The primary objective of this study was to develop a unique scoring system for predicting the prognosis and immunological landscape of HCC based on ferroptosis-related genes (FRGs) and cuproptosis-related genes (CRGs).Methods: As the training cohort, we assembled a novel HCC cohort by merging gene expression data and clinical data from The Cancer Genome Atlas (TCGA) database, and Gene Expression Omnibus (GEO) database. The validation cohort consisted of 230 HCC cases taken from the International Cancer Genome Consortium (ICGC) database. Multiple genomic characteristics, such as tumor mutation burden (TMB), and copy number variations were analyzed concurrently. On the basis of the expression of CRGs and FRGs, patients were classified into cuproptosis and ferroptosis subtypes. Then, we constructed a risk model using least absolute shrinkage and selection operator (LASSO) analysis and Cox regression analysis based on ferroptosis and cuproptosis-related differentially expressed genes (DEGs). Patients were separated into two groups according to median risk score. We compared the immunophenotype, tumor microenvironment (TME), cancer stem cell index, and treatment sensitivity of two groups.Results: Three subtypes of ferroptosis and two subtypes of cuproptosis were identified among the patients. A greater likelihood of survival (P<0.05) was expected for patients in FRGcluster B and CRGcluster B. After that, a confirmed risk signature for ferroptosis and cuproptosis was developed and tested. Patients in the low-risk group had significantly higher survival rates than those in the high-risk group, according to our study (P<0.001). There was also a strong correlation between the signature and other variables including immunophenoscore, TMB, cancer stem cell index, immunological checkpoint genes, and sensitivity to chemotherapeutics.Conclusions: Through this comprehensive research, we identified a unique risk signature associated with HCC patients' treatment status and prognosis. Our findings highlight FRGs' and CRGs' significance in clinical practice and imply ferroptosis and cuproptosis may be therapeutic targets for HCC patients.