PXD009766

PXD009766 is an original dataset announced via ProteomeXchange.

Title	Clinical Proteomics of Breast Cancer Unravels a Novel Layer of Breast Cancer Classification
Description	Breast cancer classification has been in the focus of numerous large worldwide efforts, analyzing the molecular basis of breast cancer subtypes, aiming to associate them with clinical outcome and improve the current diagnostic routine. Genomic and transcriptomic profiles of breast cancer have been well established, however the proteomic contribution to these profiles is yet to be elucidated. In this work, we examined inter-tumor heterogeneity by performing a mass-spectrometry (MS)-based proteomic analysis of more than 130 clinical breast samples originating from three breast cancer subtypes and healthy tissue. Unsupervised analysis identified four proteomic clusters, among them one that represents a novel luminal subtype characterized by increased cancer signaling. This subtype was further validated using an independent protein-based dataset, but not in two independent transcriptome cohorts. Altogether, our results demonstrate the importance of deep proteomic analysis, which may affect cancer treatment decision making.
HostingRepository	PRIDE
AnnounceDate	2019-07-29
AnnouncementXML	Submission_2019-07-29_06:16:29.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Tamar Geiger
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive; Q Exactive Plus

Revision	Datetime	Status	ChangeLog Entry
0	2018-05-14 01:55:09	ID requested
⏵ 1	2019-07-29 06:16:30	announced

Yanovich G, Agmon H, Harel M, Sonnenblick A, Peretz T, Geiger T, Clinical Proteomics of Breast Cancer Reveals a Novel Layer of Breast Cancer Classification. Cancer Res, 78(20):6001-6010(2018) [pubmed]

curator keyword: Biomedical

submitter keyword: LC-MS, proteomics, breast cancer subtypes, breast cancer classification

Tamar Geiger
contact affiliation	Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University
contact email	geiger@tauex.tau.ac.il
lab head
Tamar Geiger
contact affiliation	Tel Aviv University
contact email	geiger@tauex.tau.ac.il
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2019/07/PXD009766

PRIDE project URI

• PRIDE
  1. PXD009766
     1. Label: PRIDE project
     2. Name: Clinical Proteomics of Breast Cancer Unravels a Novel Layer of Breast Cancer Classification