Related Experiment Video
Updated: Jun 26, 2026

10:27
Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Methods for identifying and studying genetic alterations in hormone-dependent cancers
Outi R Saramäki1, Kati K Waltering, Tapio Visakorpi
1Institute of Medical Technology, University of Tampere and Tampere University Hospital, Tampere, Finland.
Methods in Molecular Biology (Clifton, N.J.)
|January 2, 2009
Summary
Cancer development involves genetic changes like chromosomal aberrations and mutations. Fluorescence in situ hybridisation (FISH) detects chromosomal changes, while denaturing high-performance liquid chromatography (DHPLC) screens for mutations, aiding cancer research and diagnostics.
Area of Science:
- Genetics
- Molecular Biology
- Cancer Research
Background:
- Cancer arises from genetic alterations, including chromosomal aberrations (amplifications, deletions, translocations) and point mutations.
- Diverse genetic changes necessitate a range of detection methodologies for comprehensive analysis.
Purpose of the Study:
- To highlight the utility of Fluorescence in situ hybridisation (FISH) and denaturing high-performance liquid chromatography (DHPLC) in cancer research.
- To present FISH and DHPLC as valuable tools for detecting different types of genetic alterations in cancer development.
Main Methods:
- Fluorescence in situ hybridisation (FISH) for visualizing chromosomal abnormalities in various cell types, including fixed tissues.
- Denaturing high-performance liquid chromatography (DHPLC) for sensitive, cost-effective screening of sequence mutations.
Main Results:
- FISH effectively detects large-scale chromosomal changes.
- DHPLC offers a rapid and sensitive method for mutation screening, though sequencing is required for precise identification.
- Both FISH and DHPLC are applicable in both research and clinical diagnostic settings.
Conclusions:
- FISH and DHPLC are complementary techniques for comprehensive genetic analysis in cancer.
- These methods support both fundamental cancer research and clinical diagnostics by identifying key genetic alterations.
