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

Metabolic phenotyping combined with transcriptomics metadata fortifies the diagnosis of early-stage Hepatocellular carcinoma.

Journal of advanced research - 1 Aug 2025

Kim Sun Jo, Jung Cheol Woon, Anh Nguyen Hoang, Yoon Young Cheol, Long Nguyen Phuoc, Hong Soon-Sun, Cho Eun Ju, Kwon Sung Won

Abstract excerpt

INTRODUCTION: The low sensitivity of alpha-fetoprotein (AFP) renders it unsuitable as a stand-alone marker for early hepatocellular carcinoma (eHCC) surveillance. Therefore, additional blood-based biomarkers with enhanced sensitivities are required. OBJECTIVES: In light of the metabolic changes that are distinctive to eHCC development, the current study presents a panel of serum metabolites that may serve as...

Read the complete abstract on PubMed

Topics

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

Share to alpha-Fetoproteins
Share to Biomarkers, Tumor

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Carcinoma, Hepatocellular

Share to Early Detection of Cancer

Share to Gene Expression Profiling

Share to Liver Neoplasms

Share to Metabolomics

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 39243943
DOI: 10.1016/j.jare.2024.09.007
PMCID: PMC12302345

Genes

AFP

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Metabolic phenotyping combined with transcriptomics metadata fortifies the diagnosis of early-stage Hepatocellular carcinoma.PMID 39243943Read ↗

Multiple “Omics” data-based biomarker screening for hepatocellular carcinoma diagnosisSemantic proximity Read ↗

Metabolomics and Lipidomics Screening Reveal Reprogrammed Signaling Pathways toward Cancer Development in Non-Alcoholic SteatohepatitisSemantic proximity Read ↗

Metabolism‐associated molecular classification of hepatocellular carcinomaSemantic proximity Read ↗

Identification of serum metabolite biomarkers and metabolic reprogramming mechanisms to predict recurrence in cholangiocarcinomaSemantic proximity Read ↗

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

An Integrated Multi-omic Analysis Reveals Novel Gene-Metabolite Relationships in Human Steatohepatitic Hepatocellular CarcinomaSemantic proximity Read ↗

Power of metabolomics in diagnosis and biomarker discovery of hepatocellular carcinoma.Semantic proximity Read ↗

Integrated microbiome and metabolome analysis reveals the interaction between intestinal flora and serum metabolites as potential biomarkers in hepatocellular carcinoma patientsSemantic proximity Read ↗

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

The heterogeneity of cellular metabolism in the tumour microenvironment of hepatocellular carcinoma with portal vein tumour thrombusSemantic proximity Read ↗

Primary Liver Cancers: Connecting the Dots of Cellular Studies and Epidemiology with MetabolomicsSemantic proximity Read ↗

Application of graph models to the identification of transcriptomic oncometabolic pathways in human hepatocellular carcinomaSemantic proximity Read ↗

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