Related Experiment Video

Updated: Jan 28, 2026

A "Patient-Like" Orthotopic Syngeneic Mouse Model of Hepatocellular Carcinoma Metastasis
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A "Patient-Like" Orthotopic Syngeneic Mouse Model of Hepatocellular Carcinoma Metastasis

Published on: October 24, 2015

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NELFE-Dependent MYC Signature Identifies a Unique Cancer Subtype in Hepatocellular Carcinoma

Hien Dang1,2, Yotsawat Pomyen3,4, Sean P Martin3

  • 1Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, United States. hien.dang@jefferson.edu.

Scientific Reports
|March 6, 2019
PubMed

Insights

A new gene signature, the NDMT signature, identifies a unique subtype of liver cancer (HCC) driven by MYC and NELFE. This signature predicts poor prognosis and aids in personalized risk assessment for patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • MYC oncogene dysregulation is common in liver cancer, particularly hepatocellular carcinoma (HCC).
  • Current diagnostic and prognostic strategies based on MYC amplification or translocation are insufficient.
  • Hepatocarcinogenesis is enhanced by the RNA binding protein NELFE in conjunction with MYC.

Purpose of the Study:

  • To develop a novel gene signature for identifying MYC/NELFE-driven HCC subtypes.
  • To assess the diagnostic and prognostic utility of this new signature.
  • To enable personalized risk assessment and guide future patient care.

Main Methods:

  • Development of a Negative Elongation Factor E (NELFE)-Dependent MYC Target (NDMT) gene signature.
  • Analysis of gene expression data from three independent HCC cohorts.
  • Validation of the NDMT signature's predictive capability for patient prognosis.

Main Results:

  • The NDMT gene signature effectively identifies a unique HCC subtype not detectable by traditional methods.
  • This specific HCC subtype is associated with a poor prognosis across diverse patient cohorts.
  • The signature's predictive power was validated in independent datasets with varying etiologies and demographics.

Conclusions:

  • The NDMT gene signature offers a more accurate diagnostic and prognostic tool for a subset of HCC.
  • This signature facilitates the identification of NELFE/MYC-driven tumors.
  • Application of the NDMT signature can lead to improved personalized risk stratification for HCC patients.

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