MassIVE MSV000085343

Imported Reanalysis Dataset Public PXD014414

Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors

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Description

Metaplastic breast carcinoma (MBC) is the most aggressive form of triple-negative cancer (TNBC), defined by the presence of “metaplastic” components of spindle, squamous, or sarcomatoid histology. The protein profiles underpinning the pathological subtypes and metastatic behavior of MBC are unknown. Using multiplex quantitative tandem mass tag-based proteomics we quantified 5,798 proteins in MBC, TNBC, and normal breast from 27 patients. MBC showed increased epithelial-to-mesenchymal transition and extracellular matrix, and reduced metabolic pathways compared to TNBC. MBC subtypes exhibited distinct upregulated profiles; translation and ribosomal events in spindle, inflammation and apical junctions in squamous, and extracellular matrix in sarcomatoid. Comparison of the proteomes of spindle MBC with MMTV-cre;Ccn6fl/fl spindle MBC tumors revealed a shared spindle-specific signature of 17 upregulated proteins involved in translation (e.g. RPL4,6,18, P3H1, PYCR1) and 19 downregulated proteins with roles in cell metabolism (e.g. ADH1B, ADH1C, LIPE, SOD1, FABP4). These data identify subtype specific MBC protein profiles providing biomarkers and therapeutic targets. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: metaplastic breast carcinoma ; LC-MS/MS shotgun proteomics ; tandem mass tag (TMT) labeling ; triple-negative breast cancer ; precision therapy ; CCN6 ; WISP3 ; MassIVE.quant reviewed - Platinum

Contact

Principal Investigators:
(in alphabetical order) 		Celina G. Kleer, Harold Oberman Collegiate Professor of Pathology Director, Breast Pathology Program University of Michigan Medical School, N/A
Submitting User: ccms

Publications

Djomehri SI, Gonzalez ME, da Veiga Leprevost F, Tekula SR, Chang HY, White MJ, Cimino-Mathews A, Burman B, Basrur V, Argani P, Nesvizhskii AI, Kleer CG.
Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors.
Nat Commun. 2020 Apr 7;11(1):1723. Epub 2020 Apr 7.

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Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.