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Abstract
Despite advances in genomic classification of breast cancer, current clinical tests and treatment decisions are commonly based on protein level information. Formalin-fixed paraffin-embedded (FFPE) tissue specimens with extended clinical outcomes are widely available. Here, we perform comprehensive proteomic profiling of 300 FFPE breast cancer surgical specimens, 75 of each PAM50 subtype, from patients diagnosed in 2008-2013 (n = 178) and 1986-1992 (n = 122) with linked clinical outcomes. These two cohorts are analyzed separately, and we quantify 4214 proteins across all 300 samples. Within the aggressive PAM50-classified basal-like cases, proteomic profiling reveals two groups with one having characteristic immune hot expression features and highly favorable survival. Her2-Enriched cases separate into heterogeneous groups differing by extracellular matrix, lipid metabolism, and immune-response features. Within 88 triple-negative breast cancers, four proteomic clusters display features of basal-immune hot, basal-immune cold, mesenchymal, and luminal with disparate survival outcomes. Our proteomic analysis characterizes the heterogeneity of breast cancer in a clinically-applicable manner, identifies potential biomarkers and therapeutic targets, and provides a resource for clinical breast cancer classification.
Protein level information enables the identification of potential biomarkers and therapeutic targets for breast cancer. Here, the authors perform proteomic analysis of 2 cohorts of breast cancer surgical specimens and identify distinct subtypes, immune features and survival outcomes.
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1 University of British Columbia, Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Interdisciplinary Oncology Program, Faculty of Medicine, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
2 University of British Columbia, Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
3 University of British Columbia, Department of Molecular Oncology, BC Cancer Research Institute, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
4 University of British Columbia, Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
5 University of British Columbia, Division of Anatomical Pathology, Vancouver General Hospital, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Canadian Immunohistochemistry Quality Control, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
6 University of British Columbia, Division of Medical Oncology, British Columbia Cancer Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
7 University of British Columbia, Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Division of Anatomical Pathology, Vancouver General Hospital, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
8 University of British Columbia, Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Department of Medical Genetics, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)