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

An asparagine metabolism-based classification reveals the metabolic and immune heterogeneity of hepatocellular carcinoma

25 Oct 2022

Abstract excerpt

INTRODUCTION AND OBJECTIVES: hepatocellular carcinoma (HCC) is the major form of liver cancer with a poor prognosis. Amino acid metabolism has been found to alter in cancers and contributes to malignant progression. However, the asparagine metabolism status and relevant mechanism in HCC were barely understood. METHODS: By conducting consensus clustering and the least absolute shrinkage and selection operator...

Read the complete abstract on PubMed

Topics

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

Share to Cancer, Hypoxia, and Metabolism
Share to Cancer Research and Treatments
Share to Ferroptosis and cancer prognosis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 36284275
DOI: 10.1186/s12920-022-01380-z

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

An asparagine metabolism-based classification reveals the metabolic and immune heterogeneity of hepatocellular carcinomaPMID 36284275Read ↗

Identifification of amino acid metabolic signature to predict prognosis and guide clinical therapy in patients with Hepatocellular carcinomaSemantic proximity Read ↗

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

Typing and modeling of hepatocellular carcinoma based on disulfidptosis-related amino acid metabolism genes for predicting prognosis and guiding individualized treatmentSemantic proximity Read ↗

Comprehensive analysis of the amino acid metabolism-related gene signature for prognosis, tumor immune microenvironment, and candidate drugs in hepatocellular carcinomaSemantic proximity Read ↗

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

Identification of Energy Metabolism-Related Gene Signatures From scRNA-Seq Data to Predict the Prognosis of Liver Cancer PatientsSemantic proximity Read ↗

Integrated machine learning screened glutamine metabolism-associated biomarker SLC1A5 to predict immunotherapy response in hepatocellular carcinomaSemantic proximity Read ↗

Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinomaSemantic proximity Read ↗

Identification and validation of prognostic features of amino acid metabolism-related lncRNAs in hepatocellular carcinomaSemantic proximity Read ↗

Development and Verification of the Amino Metabolism Related and Immune-associated Prognosis Signature in GliomasSemantic proximity Read ↗

Metabolism‐associated molecular classification of hepatocellular carcinomaSemantic proximity Read ↗

Integrated analysis reveals an aspartate metabolism-related gene signature for predicting the overall survival in patients with hepatocellular carcinomaSemantic proximity Read ↗

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