ArticleNPJ breast cancer2026
Stromal-based proteome data improve stratification of hormone receptor-positive breast cancer.
Article in NPJ breast cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Breast cancers are biologically and clinically diverse. While large-scale gene expression analyses have enabled epithelial-centered molecular classifications, studies of the tumor microenvironment (TME) remain limited, especially at the proteome level using tissue-specific resolution. By laser capture microdissection and mass spectrometry-based proteomics followed by unsupervised clustering of the stromal proteome, we discovered three patient subgroups. The largest cluster revealed the most discrete representation of stromal proteins, including a 35-protein (35P) panel linked to extracellular matrix biology, tumor progression programs, and increased abundance of tumor-associated macrophages (TAM) by single-cell profiling. Clinical validation of 35P, using whole tissue protein and mRNA values from different cohorts of ER+/HER2- breast cancer, including a large randomized controlled trial (STO), identified that more aggressive (or 'high-grade') stromal features were independent of current molecular subtypes. The 35P stromal panel may reflect important clinical information by improving patient stratification beyond current epithelial-based classification of breast cancer.
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