PXD013422-2

PXD013422 is an original dataset announced via ProteomeXchange.

Title	Prostate cancer tissue proteomics
Description	Prostate cancer (PCa) is a non-cutaneous malignancy that is the most frequent cancer found in males worldwide, and its mortality rate is increasing every year. Although, PCa grows slowly and is not a threat to survival, advanced PCa, metastatic PCa, is aggressive form of PCa and can spread to other organs, resulting in the 5-year survival rate dropping to 30%. However, there are no molecular markers for advanced and/or aggressive PCa, and it is an urgent clinically need to find biomarkers for prognosis and prediction of advanced PCa. Here, we used mass spectrometry-based proteomics to discover new biomarkers for prognosis and prediction of advanced PCa in tissue obtained from PCa patients who were diagnosed with T2, T3 and metastasis in regional lymph nodes. We identified 1,904 proteins and 1,673 proteins were quantified from PCa tissues, respectively. In particular, 344 differentially expressed proteins (DEP) of which 124 were up-regulated and 216 were down-regulated were listed. From PLS-DA score plotting using SIMCA P+ software and GO and KEGG enrichment analysis by DAVID, we also propose SRM, NOLC1, and PTGIS, which we found through this proteomics analysis, as representing new protein biomarkers for diagnosis of advanced PCa. The proteomics results were verified by immunoblotting assay in metastatic PCa cell-lines and indirect ELISA in prostate specimens. In particular, SRM is significantly increased depending on cancer progress stages, so the possibility of biomarker for prognosis and prediction of advanced PCa is confirmed.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_04:54:51.472.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Oh Kwang Kwon
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive; LTQ Orbitrap

Revision	Datetime	Status	ChangeLog Entry
0	2019-04-09 04:08:32	ID requested
1	2020-03-04 01:12:11	announced
⏵ 2	2024-10-22 04:54:52	announced	2024-10-22: Updated project metadata.

10.21873/cgp.20180;

Kwon OK, Ha YS, Na AY, Chun SY, Kwon TG, Lee JN, Lee S, Identification of Novel Prognosis and Prediction Markers in Advanced Prostate Cancer Tissues Based on Quantitative Proteomics. Cancer Genomics Proteomics, 17(2):195-208(2020) [pubmed]

submitter keyword: advanced cancer, quantitative proteomics,Prostate cancer, diagnostics, LC-MS/MS

Sangkyu Lee
contact affiliation	BK21 Plus KNU Multi-Omics Based Creative Drug Research Team, College of Pharmacy, Research Institute of Pharmaceutical Sciences, Kyungpook National University
contact email	sangkyu@knu.ac.kr
lab head
Oh Kwang Kwon
contact affiliation	Kyungpook National University
contact email	kok0100@nate.com
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/2020/03/PXD013422

PRIDE project URI

• PRIDE
  1. PXD013422
     1. Label: PRIDE project
     2. Name: Prostate cancer tissue proteomics