Identification and verification of novel ferroptosis biomarkers predicts the prognosis of hepatocellular carcinoma

Siqian Wu; Meiliang Liu; Suyang Xiao; Mingshuang Lai; Liling Wei; Deyuan Li; Lijun Wang; Fuqiang Yin; Xiaoyun Zeng

doi:10.1016/j.ygeno.2023.110733

Identification and verification of novel ferroptosis biomarkers predicts the prognosis of hepatocellular carcinoma

Genomics. 2023 Nov;115(6):110733. doi: 10.1016/j.ygeno.2023.110733. Epub 2023 Oct 20.

Authors

Siqian Wu¹, Meiliang Liu¹, Suyang Xiao¹, Mingshuang Lai¹, Liling Wei¹, Deyuan Li¹, Lijun Wang¹, Fuqiang Yin², Xiaoyun Zeng³

Affiliations

¹ Department of Epidemiology and Health Statistics, School of public health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China.
² Life Sciences Institute, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China; Key Laboratory of High-Incidence-Tumor Prevention and Treatment (Guangxi Medical University), Ministry of Education, Nanning, China. Electronic address: yinfq@mail2.sysu.edu.cn.
³ Department of Epidemiology and Health Statistics, School of public health, Guangxi Medical University, 22 Shuangyong Road, Nanning 530021, Guangxi, China; Key Laboratory of High-Incidence-Tumor Prevention and Treatment (Guangxi Medical University), Ministry of Education, Nanning, China. Electronic address: zengxiaoyun@gxmu.edu.cn.

PMID: 37866659
DOI: 10.1016/j.ygeno.2023.110733

Abstract

Background: Big data mining and experiments are widely used to mine new prognostic markers.

Methods: Candidate genes were identified from CROEMINE and FerrDb. Kaplan-Meier survival and Cox regression analysis were applied to assess the association of genes with Overall survival time (OS) and Disease-free survival time (DFS) in two HCC cohorts. Real-time quantitative polymerase chain reaction (RT-qPCR) and Immunohistochemistry were performed in HCC samples.

Results: 21 and 15 genes that can predict OS and DFS, which had not been reported before, were identified from 719 genes, respectively. Survival analysis showed elevated mRNA expression of GLMP, SLC38A6, and WDR76 were associated with poor prognosis, and three genes combination signature was an independent prognostic factor in HCC. RT-qPCR and Immunohistochemistry confirmed the results.

Conclusions: We established a novel computational process, which identified the expression levels of GLMP, SLC38A6, and WDR76 as potential ferroptosis-related biomarkers indicating the prognosis of HCC.

Keywords: Ferroptosis; Hepatocellular carcinoma; Prognosis biomarker; Text mining.

MeSH terms

Biomarkers, Tumor / genetics
Biomarkers, Tumor / metabolism
Carcinoma, Hepatocellular* / metabolism
Cell Cycle Proteins
DNA-Binding Proteins
Ferroptosis* / genetics
Humans
Kaplan-Meier Estimate
Liver Neoplasms* / metabolism
Prognosis

Substances

Biomarkers, Tumor
WDR76 protein, human
DNA-Binding Proteins
Cell Cycle Proteins