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

Microarray-based copy number and expression profiling in dedifferentiated and pleomorphic liposarcoma.

Björn Fritz1, Falk Schubert, Gunnar Wrobel

  • 1Deutsches Krebsforschungszentrum, Abteilung Molekulare Genetik (H0700), Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany.

Cancer Research
|May 31, 2002
PubMed
Summary

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

Integrating novel culturing and culture-independent methods to unveil soil fungal dark matter, functional guilds and environmental drivers across Robinson Ridge, East Antarctica.

Mycology·2026
Same author

Loss of meningothelial identity and mesenchymal fate switching in NF2-mutant meningiomas.

Acta neuropathologica·2026
Same author

Multi-layered molecular profiling informs the diagnosis and targeted therapy of desmoplastic small round cell tumor.

Nature communications·2026
Same author

Constructing a corpus of hematologic pathology notes for the fine-tuning of BERT models for named entity recognition.

Computers in biology and medicine·2026
Same author

Reprogramming of stroma-derived chemokine networks drives the loss of tissue organization in nodal B cell lymphoma.

Nature cancer·2026
Same author

Assessment of Mycobacterium tuberculosis dodecin scaffold as a multimerization platform on the immunogenicity of HPV L2 antigens.

Scientific reports·2026
Same journal

SEPTIN7 Enhances Tumorgenesis and Therapeutic Resistance in Hepatocellular Carcinoma by Promoting FGFR4 Stabilization and Recycling.

Cancer research·2026
Same journal

TLR9 Agonists Potentiate Adoptive T Cell Therapy in Cancer through a B Cell-CD2 Costimulatory Axis.

Cancer research·2026
Same journal

CDK2 Inhibition Exerts RB-Independent Antitumor Activity in CDK4/6 Inhibitor-Resistant HR+/HER2- Breast Cancer.

Cancer research·2026
Same journal

A Clinically Integrated Pediatric Patient-Derived Xenograft Program Enables Evaluation of Cohort and Patient-Specific Biology and Therapeutic Strategies.

Cancer research·2026
Same journal

Editor's Note: Heterodimerization of Insulin-like Growth Factor Receptor/Epidermal Growth Factor Receptor and Induction of Survivin Expression Counteract the Antitumor Action of Erlotinib.

Cancer research·2026
Same journal

Editor's Note: Deguelin Analogue SH-1242 Inhibits Hsp90 Activity and Exerts Potent Anticancer Efficacy with Limited Neurotoxicity.

Cancer research·2026
See all related articles
This summary is machine-generated.

Genomic profiling using matrix-CGH effectively distinguishes liposarcoma subtypes, identifying copy number gains in oncogenes. RNA expression profiling showed less power in separating these tumor types.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Dedifferentiated and pleomorphic liposarcomas are aggressive soft tissue tumors.
  • Accurate subtyping is crucial for prognosis and treatment strategies.

Purpose of the Study:

  • To compare the utility of genomic profiling versus gene expression profiling for differentiating liposarcoma subtypes.
  • To identify key genomic alterations and differentially expressed genes in these liposarcomas.

Main Methods:

  • Analysis of 16 liposarcoma samples using comparative genomic hybridization (CGH) to genomic microarrays (matrix-CGH).
  • Gene expression profiling via cDNA-derived microarrays and quantitative PCR.
  • Application of clustering algorithms and support vector machine for data analysis.

Related Experiment Videos

Main Results:

  • Matrix-CGH identified copy number gains in multiple oncogenes (e.g., CCND1, MDM2, CDK4), some correlating with gene transcript levels.
  • Genomic profiles clearly separated dedifferentiated and pleomorphic liposarcomas.
  • RNA expression profiles showed a lesser ability to distinguish between these tumor subtypes.

Conclusions:

  • Genomic profiling, particularly matrix-CGH, is more advantageous than RNA expression analysis for distinguishing dedifferentiated and pleomorphic liposarcomas.
  • Specific genomic alterations can serve as discriminators between liposarcoma subtypes.