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Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes.
- Source :
-
Nature communications [Nat Commun] 2022 Feb 16; Vol. 13 (1), pp. 896. Date of Electronic Publication: 2022 Feb 16. - Publication Year :
- 2022
-
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 (nā=ā178) and 1986-1992 (nā=ā122) 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.<br /> (© 2022. The Author(s).)
- Subjects :
- Breast pathology
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic genetics
Humans
Proteomics
Treatment Outcome
Triple Negative Breast Neoplasms mortality
Biomarkers, Tumor metabolism
Proteome metabolism
Triple Negative Breast Neoplasms classification
Triple Negative Breast Neoplasms pathology
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 13
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 35173148
- Full Text :
- https://doi.org/10.1038/s41467-022-28524-0