Abstract：
: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 with 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. Cancer Res; 77(17); 4673-83. ©2017 AACR.
journal_name
Cancer Resjournal_title
Cancer researchauthors
Saleh SMI,Bertos N,Gruosso T,Gigoux M,Souleimanova M,Zhao H,Omeroglu A,Hallett MT,Park Mdoi
10.1158/0008-5472.CAN-16-3427subject
Has Abstractpub_date
2017-09-01 00:00:00pages
4673-4683issue
17eissn
0008-5472issn
1538-7445pii
0008-5472.CAN-16-3427journal_volume
77pub_type
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