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

Identification of drivers from cancer genome diversity in hepatocellular carcinoma.

International journal of molecular sciences - 20 Jun 2014

Takai Atsushi, Dang Hien T, Wang Xin W

Abstract excerpt

Hepatocellular carcinoma (HCC) is one of the most common cancers with a dismal outcome. The complicated molecular pathogenesis of HCC caused by tumor heterogeneity makes it difficult to identify druggable targets useful for treating HCC patients. One approach that has a potential for the improvement of patient prognosis is the identification of cancer driver genes that play a critical role in the development of...

Read the complete abstract on PubMed

Topics

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

Share to Biomarkers, Tumor
Share to Cancer Genomics and Diagnostics
Share to Carcinoma, Hepatocellular

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Variation

Share to Liver Neoplasms

Share to Polymorphism, Single Nucleotide

Share to RNA, Small Interfering

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 24955791
DOI: 10.3390/ijms150611142
PMCID: PMC4100204

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of drivers from cancer genome diversity in hepatocellular carcinoma.PMID 24955791Read ↗

Molecular subtyping of hepatocellular carcinoma: A step toward precision medicineSemantic proximity Read ↗

The mutational landscape of hepatocellular carcinoma.Semantic proximity Read ↗

Machine learning and multi-omics data reveal driver gene-based molecular subtypes in hepatocellular carcinoma for precision treatment.Semantic proximity Read ↗

Advances in genomic hepatocellular carcinoma researchSemantic proximity Read ↗

Multi-modal meta-analysis of 1494 hepatocellular carcinoma samples reveals vast impacts of consensus driver genes on phenotypesSemantic proximity Read ↗

Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes.Semantic proximity Read ↗

Genetic diversity of hepatocellular carcinomas and its potential impact on targeted therapies.Semantic proximity Read ↗

Identification of novel oncogenes and tumor suppressors in hepatocellular carcinoma.Semantic proximity Read ↗

Deciphering the heterogeneous niche in the tumor progression of hepatocellular carcinoma: a Spatial single-cell landscape and multi-omics atlas analysisSemantic proximity Read ↗

Current Issues on Genomic Heterogeneity in Hepatocellular Carcinoma and its Implication in Clinical PracticeSemantic proximity Read ↗

Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma.Semantic proximity Read ↗

Genetic Landscape of Multistep HepatocarcinogenesisSemantic proximity Read ↗

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