Evidence map›Paper›PMID 36319928›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2023

Integrated analysis of ferroptosis-related gene signature for overall survival prediction in Asian patients with hepatocellular carcinoma.

Zihang Wang, Lan Zhang, Jinyuan Xu, Wuqi Song

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zihang WangDepartment of Microbiology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Lan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
Jinyuan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China. xujinyuan@hrbmu.edu.cn.
Wuqi SongDepartment of Microbiology, Harbin Medical University, Harbin, 150081, Heilongjiang, China. songwuqi@hrbmu.edu.cn.ORCID http://orcid.org/0000-0001-5900-5154

Funding

National College Students' innovation and entrepreneurship training program S202010226028National Natural Science Foundation of China 32000459
6 · The paper itself

Abstract

purposeHepatocellular carcinoma (HCC) is one of the most prevalent types of cancers in Asia. Accumulating evidence suggests that ferroptosis is a non-apoptotic form of cell death, and has played an important role in cancer biology.

methodsBased on the manually curated ferroptosis-related gene set and TCGA-LIHC dataset of Asian patients, we used DESeq2, Kaplan-Meier analysis, and univariate Cox regression to identify differentially expressed ferroptosis-related genes with significantly prognostic capacity. A risk signature was constructed based on the selected genes for predicting the survival of HCC patients in Asia. The survival prediction accuracy was confirmed by the time-dependent receiver operating characteristic (ROC) curve analysis. Gene set variation analysis (GSVA) was used to explore the functional associations of the signature. Ferroptosis potential index (FPI) and xCell algorithm was applied to quantify ferroptosis and immune cell infiltration, respectively. Two independent datasets from the GEO and the ICGC database were used for external validation.

resultsThe ferroptosis-related signature could accurately predict the survival outcomes of HCC patients in Asian (p value < 0.0001). We showed that the signature was an independent factor and was beneficial in elevating risk stratification of current clinicopathologic features, such as the amount of alpha-fetoprotein (AFP) and residual tumor classification. Functional characterization showed that critical processes in tumorigenesis belonged to the high-risk groups, for example inflammatory response, which may be the main driver of HCC. The high-risk group had higher FPIs and infiltrations of macrophages and T-helper cells than the low-risk group. Furthermore, two independent cohorts confirmed the prognostic value of our signature.

conclusionOverall, our results demonstrated potential application of ferroptosis-related genes as independent biomarkers in Asian HCC patients. Targeting ferroptosis may be clinically useful beyond known clinicopathological factors and provide benefit in immunotherapy.

Indexed as

Carcinoma, HepatocellularFerroptosisLiver NeoplasmsAlgorithmsCarcinogenesisHumansPrognosisAsiaFerroptosisHepatocellular carcinomaImmunityPrognosis

Identifiers

PMID36319928

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.