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Article

A Novel Approach to Quantify Heterogeneity of Intrahepatic Cholangiocarcinoma: The Hidden-Genome Classifier.

Clinical cancer research : an official journal of the American Association for Cancer Research - 15 Aug 2024

Song Yi, Boerner Thomas, Drill Esther, Shin Paul, Kumar Sandeep, Sigel Carlie, Cercek Andrea, Kemeny Nancy, Abou-Alfa Ghassan, Iacobuzio-Donahue Christine, Cowzer Darren, Schultz Nikolaus, Walch Henry, Balachandran Vinod, Groot Koerkamp Bas, Kingham Peter, Soares Kevin, Wei Alice, D'Angelica Michael, Drebin Jeffrey, Chandwani Rohit, Harding James J, Jarnagin William

Abstract excerpt

PURPOSE: Intrahepatic cholangiocarcinoma (IHC) is a heterogeneous tumor. The hidden-genome classifier, a supervised machine learning-based algorithm, was used to quantify tumor heterogeneity and improve classification. EXPERIMENTAL DESIGN: A retrospective review of 1,370 patients with IHC, extrahepatic cholangiocarcinoma (EHC), gallbladder cancer (GBC), hepatocellular carcinoma (HCC), or biphenotypic tumors was...

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Source

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Identifiers

PMID: 38864854
DOI: 10.1158/1078-0432.CCR-24-0657
PMCID: PMC11326964

Genes

FGFR2
IDH1
CDKN2A
KRAS
SMAD4
TERT

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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