Proteomics

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LC-MSMS analysis of human urine to identify early diagnostic biomarkers for prostate cancer

ABSTRACT: In order to detect proteins sensitive and specific enough to detect early stages of PCa, we performed a complex comparative proteomic study analyzing urine as a source for non-invasive biomarkers. We compared urine samples from patients with early PCa stages and Gleason score between 6 and 7 with samples from patients with BPH and other urological cancers, namely bladder and renal. The main goal of this study was to discover a diagnostic biomarker or set of biomarkers in urine, sufficiently sensitive to detect PCa in its early stages and specific enough to separate the disease from BPH or other urological cancers.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Urine

DISEASE(S): Bladder Urothelial Papillary Carcinoma,Prostate Adenocarcinoma,Benign Prostatic Hyperplasia,Clear Cell Renal Cell Carcinoma

SUBMITTER: Katarina Davalieva  

LAB HEAD: Katarina Davalieva

PROVIDER: PXD008407 | Pride | 2018-01-02

REPOSITORIES: Pride

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BC_16_18052016_29082016_1_6_01.raw.zip Raw
BC_16_18052016_29082016_1_6_01_nr15.mgf Mgf
BC_16_18052016_29082016_1_6_01_nr15.pride.mgf.gz Mgf
BC_16_18052016_29082016_1_6_01_nr15_DB_Human_MSe_120min_2_5_2_ADH_40fmol_2.mzid.gz Mzid
BC_16_18052016_29082016_1_6_01_nr15_DB_Human_MSe_120min_2_5_2_ADH_40fmol_2.pride.mztab.gz Mztab
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Publications

Comparative Proteomics Analysis of Urine Reveals Down-Regulation of Acute Phase Response Signaling and LXR/RXR Activation Pathways in Prostate Cancer.

Davalieva Katarina K   Kiprijanovska Sanja S   Maleva Kostovska Ivana I   Stavridis Sotir S   Stankov Oliver O   Komina Selim S   Petrusevska Gordana G   Polenakovic Momir M  

Proteomes 20171229 1

Detecting prostate cancer (PCa) using non-invasive diagnostic markers still remains a challenge. The aim of this study was the identification of urine proteins that are sufficiently sensitive and specific to detect PCa in the early stages. Comparative proteomics profiling of urine from patients with PCa, benign prostate hyperplasia, bladder cancer, and renal cancer, coupled with bioinformatics analysis, were performed. Statistically significant difference in abundance showed 20 and 85 proteins i  ...[more]

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