4.5 Article

A novel ferroptosis phenotype-related clinical-molecular prognostic signature for hepatocellular carcinoma

Journal

JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
Volume 25, Issue 14, Pages 6618-6633

Publisher

WILEY
DOI: 10.1111/jcmm.16666

Keywords

co-expression network; ferroptosis; hepatocellular carcinoma; prognostic signature; risk-stratification

Funding

  1. National Natural Science Foundation of China [81772628, 81703310]

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In this study, transcriptome and methylome data from 374 HCC cases were analyzed to identify two distinct ferroptosis phenotypes (Ferroptosis-H and Ferroptosis-L), and a 15-gene ferroptosis-related prognostic model (FPM) was developed. These findings may be useful for clinical decision-making in stratifying patients with HCC.
Ferroptosis is a newly identified cell death mechanism and potential biomarker for hepatocellular carcinoma (HCC) therapy; however, its clinical relevance and underlying mechanism remain unclear. In this study, transcriptome and methylome data from 374 HCC cases were investigated for 41 ferroptosis-related genes to identify ferroptosis activity-associated subtypes. These subtypes were further investigated for associations with clinical and pathological variables, gene mutation landscapes, deregulated pathways and tumour microenvironmental immunity. A gene expression signature and predictive model were developed and validated using an additional 232 HCC cases from another independent cohort. Two distinct ferroptosis phenotypes (Ferroptosis-H and Ferroptosis-L) were identified according to ferroptosis gene expression and methylation in the patients with HCC. Patients with the Ferroptosis-H had worse overall and disease-specific survival, and the molecular subtypes were significantly associated with different clinical characteristics, mRNA expression patterns, tumour mutation profiles and microenvironmental immune status. Furthermore, a 15-gene ferroptosis-related prognostic model (FPM) for HCC was developed and validated which demonstrated accurate risk stratification ability. A nomogram included the FPM risk score, ECOG PS and hepatitis B status was developed for eventual clinical translation. Our results suggest that HCC subtypes defined by ferroptosis gene expression and methylation may be used to stratify patients for clinical decision-making.

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