Molecular diversity of breast cancers at the time of endocrine resistance [mRNA]

Dataset containing whole-genome expression profiles of breast cancers at the time of endocrine resistance. It has been used to identify five distinctive phenotypes with different expression of gene clusters associated with ER-signalling, stromal rearrangement and cytokine-signalling. Pathway-focused analysis suggested individual tumours with active ER-signalling (24/55, 44%), PIK3CA-signalling (18/55, 32%), RAS (12/55, 22%) and MYC-signalling (11/55, 20%). 3 or 4 of the above pathways were simultaneously active in 6/55 (11%) cases. Results provide important information about prevalence of different mechanisms of endocrine resistance in clinical samples of breast cancer.

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