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PXD055306-1

PXD055306 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleMulti-omics analysis of triple-negative breast cancers
DescriptionAbstract The triple-negative breast cancer (TNBC) accounts for approximately 15% of all Breast Cancer (BC) cases. However, the prognosis and clinical outcomes of TNBC are worse than those of other BC subtypes due to a greater tumor and few therapeutically targetable oncogenic drivers. Numerous studies have employed genomic and transcriptomic approaches to identify clinically actionable TNBC subtypes in a comprehensive and unbiased manner using. While these analyses have advanced our knowledge of the molecular changes underlying TNBC, their clinical utility remains limited thus far. Given that proteins are the principal effector molecules of cellular signaling and function, we use a proteomic approach to quantitatively compare the abundances of 6,306 proteins across 55 formalin-fixed and paraffin-embedded (FFPE) TNBC tumors to reveal actionable pathways for anti-cancer treatment. We identified four major TNBC clusters by unsupervised clustering analysis of protein abundances. In addition, analyses of clinicopathological characteristics revealed associations between proteomic results and clinical phenotypes exhibited by each subtype. We validate the findings of our proteomics analysis, by inferring immune and stromal cell type composition from genome-wide DNA methylation profiles. Finally, quantitative proteomics on TNBC cell lines was conducted to identify representative in vitro models for each subtype. Collectively, our multi-omics data provide novel subtype-specific insights such as potential biomarkers, molecular drivers, and pharmacologic vulnerabilities for further investigations.
HostingRepositoryMassIVE
AnnounceDate2025-02-02
AnnouncementXMLSubmission_2025-02-02_09:16:57.962.xml
DigitalObjectIdentifier
ReviewLevelNon peer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterArminja Nadine Kettenbach
SpeciesList scientific name: Homo sapiens; common name: human; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Fusion
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-08-28 17:33:35ID requested
12025-02-02 09:16:58announced
Publication List
no publication
Keyword List
submitter keyword: TNBC, cancer, tumor, subtypes
Contact List
Arminja Kettenbach
contact affiliationGeisel School of Medicine at Dartmouth
contact emailArminja.N.Kettenbach@Dartmouth.edu
lab head
Arminja Nadine Kettenbach
contact affiliationDartmouth
contact emailArminja.N.Kettenbach@Dartmouth.edu
dataset submitter
Full Dataset Link List
MassIVE dataset URI
Dataset FTP location
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