Identification of interacting stromal axes in triple-negative breast cancer

Triple-negative breast cancer (TNBC) is a molecularly heterogeneous cancer that is difficult to treat. Despite the role it may play in tumor progression and response to therapy, microenvironmental (stromal) heterogeneity in TNBC has not been well characterized. To address this challenge, we investigated the transcriptome of tumor-associated stroma isolated from TNBC (n=57). We identified four stromal axes enriched for T cells (T), B cells (B), epithelial markers (E), or desmoplasia (D). Our analysis method (STROMA4) assigns a score along each stromal axis for each patient, and then combined the axis scores to subtype patients. Analysis of these subtypes revealed that prognostic capacity of the B, T and E scores was governed by the D score. When compared to a previously published TNBC subtyping scheme, the STROMA4 method better captured tumor heterogeneity and predicted patient benefit from therapy with increased sensitivity. This approach produces a simple ontology that captures TNBC heterogeneity and informs how tumor-associated properties interact to affect prognosis.

from #ORL-AlexandrosSfakianakis via ola Kala on Inoreader http://ift.tt/2teGB55

from ! Medicine by Alexandros G. Sfakianakis via alwin on Inoreader http://ift.tt/2ub0K9d
via IFTTT