Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

• DOI: 10.1073/pnas.191367098
• Publication Date: 2002-07-26T14:44:19Z
• Authors: Therese Sørlie; Charles M. Perou; Robert Tibshirani; Turid Aas; Stephanie Geisler; Hilde Johnsen; Trevor Hastie; Michael B. Eisen; Matt van de Rijn; Stefanie S. Jeffrey; Thor Thorsen; Hanne Quist; John C. Matese; Patrick O. Brown; David Botstein; Per Eystein Lønning; Anne-Lise Børrese...
• Keywords: Basal (medicine); Tissue microarray; Breast carcinoma

The purpose of this study was to classify breast carcinomas based on variations in gene expression patterns derived from cDNA microarrays and correlate tumor characteristics clinical outcome. A total 85 microarray experiments representing 78 cancers, three fibroadenomas, four normal tissues were analyzed by hierarchical clustering. As reported previously, the cancers could be classified into a basal epithelial-like group, an ERBB2 -overexpressing group breast-like expression. novel finding that previously characterized luminal epithelial/estrogen receptor-positive divided at least two subgroups, each with distinctive profile. These subtypes proved reasonably robust clustering using different sets: first, set 456 clones selected reflect intrinsic properties tumors and, second, highly correlated patient Survival analyses subcohort patients locally advanced cancer uniformly treated prospective showed significantly outcomes for belonging various groups, including poor prognosis basal-like subtype significant difference outcome estrogen groups.