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Updated: Jun 24, 2026
11:02
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 19, 2013
The breast cancer somatic 'muta-ome': tackling the complexity
Andrew E Teschendorff1, Carlos Caldas
1Medical Genomics Group, Paul O'Gorman Building, UCL Cancer Institute, University College London, London, UK. aet21@cam.ac.uk
Breast Cancer Research : BCR
|April 7, 2009
Summary
Breast cancer is complex, driven by numerous low-frequency somatic mutations. Understanding these genomic aberrations and pathways is key to identifying new subtypes and improving treatment.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Acquired somatic mutations drive ~90% of breast tumors, but only HER2 amplification defines a subtype.
- Current mutational profiling reveals a complex breast cancer 'mutational landscape' (muta-ome).
- This complexity includes abundant low-frequency mutations and numerous genomic aberrations per tumor.
Purpose of the Study:
- To explore the complexity of the breast cancer mutational landscape.
- To identify clinically relevant mutation patterns and potential new breast cancer subtypes.
- To highlight the need for pathway-centric and integrative analysis approaches.
Main Methods:
- Analysis of mutational profiling studies.
- Integration of genomic mutation data with biological knowledge databases.
- Review of structural features emerging from follow-up studies.
Main Results:
- Breast cancer exhibits a complex mutational landscape with many low-frequency mutations.
- Approximately 20-50 somatic genomic aberrations drive an average tumor.
- Links are emerging between somatic gene disruptions, inherited risk, and pathway involvement.
- Mutations show non-random distribution, implicating specific molecular pathways.
Conclusions:
- A shift from gene-centric to pathway-centric approaches is necessary for breast cancer research.
- Multi-dimensional integrative analyses combining mutational and functional profiles are crucial.
- Larger profiling studies using advanced sequencing technologies are needed to map the full landscape.
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