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Network modeling links breast cancer susceptibility and centrosome dysfunction
Miguel Angel Pujana1, Jing-Dong J Han, Lea M Starita
1Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, 44 Binney St., Boston, Massachusetts 02115, USA.
Nature Genetics
|October 9, 2007
Summary
Researchers identified new breast cancer risk genes using a network modeling strategy. This approach revealed a link between the HMMR gene and increased breast cancer risk, offering insights into cancer susceptibility.
Area of Science:
- Genomics
- Systems Biology
- Cancer Research
Background:
- Identifying cancer-associated genes is crucial for understanding cancer susceptibility and progression.
- Understanding how gene mutations impact cellular networks is essential.
Purpose of the Study:
- To identify genes potentially associated with higher breast cancer risk using a network modeling strategy.
- To explore functional associations between known and novel cancer-associated genes.
Main Methods:
- Network modeling strategy integrating gene expression, genomic, and proteomic data.
- Analysis of known breast cancer tumor suppressor genes to build an initial network.
- Functional genomic and proteomic data integration across species.
Main Results:
- A network of 118 genes with 866 functional associations was generated, showing higher connectivity than expected by chance.
- Identified previously unknown functional associations between HMMR (centrosome subunit) and BRCA1 (breast cancer-associated gene).
- Two case-control studies indicated that the HMMR locus is associated with increased human breast cancer risk.
Conclusions:
- Network modeling is a valuable strategy for discovering novel cancer-associated genes.
- HMMR is a potential novel risk gene for breast cancer.
- The identified network provides insights into pathways involved in breast cancer development.
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