Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Gene expression patterns in human liver cancers.

Xin Chen1, Siu Tim Cheung, Samuel So

  • 1Department of Biochemistry, Stanford University School of Medicine, Stanford, California 94305, USA.

Molecular Biology of the Cell
|June 12, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pharmacokinetic Analysis of Intravenous Push Cefepime in Critically Ill Patients With Sepsis.

Pharmacotherapy·2026
Same author

Editorial: The role of technology and social media in sport.

Frontiers in sports and active living·2025
Same author

Planning with emission models reduces the carbon footprint of new reservoirs.

Communications earth & environment·2025
Same author

The Longitudinal Impact of Fetal Malnutrition on the Anthropometric Growth of Young Children in Leyte, the Philippines.

Maternal & child nutrition·2025
Same author

Joy of Missing Out (JOMO) and Its Role in Reducing Social Media Addiction: The Serial Mediating Role of Loneliness and Psychological Distress.

Psychological reports·2025
Same author

Gut metagenomes reveal interactions between dietary restriction, ageing and the microbiome in genetically diverse mice.

Nature microbiology·2025
Same journal

Mechanisms underpinning chromosome structure in metazoans.

Molecular biology of the cell·2026
Same journal

Conserved and Divergent Modes of Substrate Interaction Define Selective Localizations and Functions of a Cdc14 Phosphatase.

Molecular biology of the cell·2026
Same journal

Dimerization of the centriolin-like protein Nud1 governs spindle pole body inheritance in budding yeast.

Molecular biology of the cell·2026
Same journal

Non-muscle Myosin II acts as a negative feedback mediator to control cell contraction dynamics in adherent cells.

Molecular biology of the cell·2026
Same journal

The tetraspanin disc proteins, peripherin-2 and ROM1, facilitate CNG channel localization to the rod outer segment.

Molecular biology of the cell·2026
Same journal

Csf1 facilitates adaptive membrane lipid remodeling linked to ER-plasma membrane contact sites.

Molecular biology of the cell·2026
See all related articles

Hepatocellular carcinoma (HCC) gene expression patterns differ significantly between tumors and normal liver tissue. These distinct molecular signatures can identify individual tumor nodules and correlate with tumor characteristics.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Hepatocellular carcinoma (HCC) is a major global health concern, causing significant mortality.
  • Understanding the molecular basis of HCC is crucial for developing effective diagnostic and therapeutic strategies.

Purpose of the Study:

  • To characterize gene expression patterns in HCC using cDNA microarrays.
  • To differentiate HCC from nontumor liver tissues and metastatic tumors.
  • To investigate the distinctiveness of gene expression profiles within individual HCC tumors and their relationship to tumor characteristics.

Main Methods:

  • Utilized cDNA microarrays to analyze global gene expression in HCC and nontumor liver tissues.
  • Compared gene expression profiles of primary HCC, metastatic liver tumors, and normal liver tissue.

Related Experiment Videos

  • Analyzed gene expression patterns in multiple tumor nodules from the same patient.
  • Main Results:

    • Consistent and distinct gene expression patterns were observed in HCC compared to nontumor liver tissues.
    • HCC expression patterns were distinguishable from those of tumors metastatic to the liver.
    • Global gene expression profiles were sufficiently unique to identify and differentiate individual tumor nodules within the same patient.
    • Gene expression patterns were tumor-specific, not patient-specific, with clonally independent nodules showing no greater similarity than tumors from different patients.
    • Clonally related tumor masses with distinct expression profiles also exhibited genotypic differences.
    • Specific gene expression features correlated with tumor characteristics such as growth rate, vascular invasion, and p53 overexpression.

    Conclusions:

    • Gene expression profiling provides a powerful tool for characterizing Hepatocellular Carcinoma (HCC).
    • Distinct molecular signatures of HCC tumors can be identified and differentiated from normal and metastatic tissues.
    • Tumor heterogeneity in HCC is reflected in distinct gene expression patterns, even within the same patient, and is linked to genotypic and phenotypic variations.