New Technology Helps Researchers Effectively Subtype Breast Cancer

New Technology Helps Researchers Effectively Subtype Breast Cancer
breast cancer subtypesA group of international researchers has devised a reliable method for subtyping breast tumors into the IntClust subtypes based on gene expression patterns, further demonstrating the clinical and biological validity of the IntClust classification. IntClust is a software package for clustering gene expression data with repeated measurements based on interval data analysis. This can classify breast cancer into ten subtypes based on molecular drivers identified through the integration of genomic and transcriptomic data from 1,000 breast tumors and validated in a further 1,000. The classification of breast tumors based on morphology and two key markers, oEGFRestrogen receptor and human epidermal growth factor receptor 2 are still the support of current clinical practice. However, this approach lacks the underlying molecular changes, which ultimately constitute a tumor’s oncogenic drive,with recent genomic studies starting to reveal the complexity of somatic alterations in breast cancer at the levels of mutations and copy number aberrations. In this study entitled Genome-driven integrated classification of breast cancer validated in over 7,500 samples” and published in the Genome Biology journal, the team designed a gene expressi
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