Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Comprehensive analysis reveals a metabolic ten-gene signature in hepatocellular carcinoma

26 May 2020

Abstract excerpt

BACKGROUND: Due to the complicated molecular and cellular heterogeneity in hepatocellular carcinoma (HCC), the morbidity and mortality still remains high level in the world. However, the number of novel metabolic biomarkers and prognostic models could be applied to predict the survival of HCC patients is still small. In this study, we constructed a metabolic gene signature by systematically analyzing the data...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer, Lipids, and Metabolism
Share to Ferroptosis and cancer prognosis
Share to Hepatocellular Carcinoma Treatment and Prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 32518728
DOI: 10.7717/peerj.9201

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comprehensive analysis reveals a metabolic ten-gene signature in hepatocellular carcinomaPMID 32518728Read ↗

Identification of a four‐gene metabolic signature predicting overall survival for hepatocellular carcinomaSemantic proximity Read ↗

Prognostic Implication of a Novel Metabolism-Related Gene Signature in Hepatocellular CarcinomaSemantic proximity Read ↗

Identification and Validation of a Novel Metabolism‑Related Prognostic Signature in Hepatocellular CarcinomaSemantic proximity Read ↗

A Novel Ten-Gene Signature Predicting Prognosis in Hepatocellular CarcinomaSemantic proximity Read ↗

Construction and Validation of a Metabolic Reprogramming Related Prognostic Model for Hepatocellular CarcinomaSemantic proximity Read ↗

Identification of a novel metabolism‑related prognostic signature in hepatocellular carcinoma through bioinformatics analysis and validation through experimental studiesSemantic proximity Read ↗

A Signature of Seven Lipid Metabolism Genes to Predict Hepatocellular Carcinoma PrognosisSemantic proximity Read ↗

Prognostic Exploration of Metabolism-Related Genes in Hepatocellular Carcinoma and Pan-CancerSemantic proximity Read ↗

Machine learning-based transcriptome analysis of lipid metabolism biomarkers for the survival prediction in hepatocellular carcinomaSemantic proximity Read ↗

Identification of Energy Metabolism Genes for the Prediction of Survival in Hepatocellular CarcinomaSemantic proximity Read ↗

Identification and Validation of a Novel Six-Gene Expression Signature for Predicting Hepatocellular Carcinoma Prognosis.Semantic proximity Read ↗

Identification and Validation of a Nine-Gene Amino Acid Metabolism-Related Risk Signature in HCCSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.