ArticleJournal of hepatocellular carcinoma2021
Development and Validation of a Metabolic Gene-Based Prognostic Signature for Hepatocellular Carcinoma.
Article in Journal of hepatocellular carcinoma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- A mitochondrial function-based prognostic model for hepatocellular carcinoma uncovers MRPS15 as a key driver of tumor progression through oxidative phosphorylation.Translational cancer research · 2026Article
- Bioinformatics Analysis Identifies Lipid Droplet-Associated Gene Signatures as Promising Prognostic and Diagnostic Models for Endometrial Cancer.Cancer reports (Hoboken, N.J.) · 2025Article
- Glutathiones' life in multi-cancers: especially their potential micropetides in liver hepatocellular carcinoma.Discover oncology · 2025Article
- Stemness-Relevant Gene Signature for Chemotherapeutic Response and Prognosis Prediction in Ovarian Cancer.Stem cells international · 2025Article
- Identification and characterization of a 25-lncRNA prognostic signature for early recurrence in hepatocellular carcinoma.BMC cancer · 2021Article
- Prognostic and predictive role of a metabolic rate-limiting enzyme signature in hepatocellular carcinoma.Cell proliferation · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is a malignant tumor with great variation in prognosis among individuals. Changes in metabolism influence disease progression and clinical outcomes. The objective of this study was to determine the overall survival (OS) risk of HCC patients from a metabolic perspective. PATIENTS AND
methodsThe model was constructed using the least absolute shrinkage and selection operator (LASSO) COX regression based on The Cancer Genome Atlas (TCGA, n=342) dataset. The International Cancer Genome Consortium (ICGC, n=232), GSE14520 (n=242) datasets, and a clinical cohort (n=64) were then used to assess the prognostic value of the signature.
resultsA 10 metabolic gene-based signature was constructed and verified as a robust and independent prognostic classifier in public and real-world validation cohorts. Meanwhile, the signature enabled the identification of HCC molecular subtypes, yielding an AUC value of 0.678 [95% CI: 0.592-0.763]. Besides, the signature was associated with metabolic processes like glycolysis, supported by a clear correlation between the risk score and expression of rate-limiting enzymes. Furthermore, high-risk tumor was likely to have a high tumor infiltration status of immunosuppressive cells, as well as elevated expression of some immune checkpoint molecules. For final clinical translation, a nomogram integrating the signature and tumor stage was established, and showed improved predictive accuracy of 3- and 5-year OS and brought more net benefit to patients.
conclusionWe developed a prognostic signature based on 10 metabolic genes, which has proven to be an independent and reliable prognostic predictor for HCC and reflects the metabolic and immune characteristics of tumors.
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