Discovery and validation of novel protein biomarkers in ovarian cancer patient urine

Sandow, JJ; Rainczuk, A; Infusini, G; Makanji, M; Bilandzic, M; Wilson, AL; Fairweather, N; Stanton, PG; Garama, D; Gough, D; Jobling, TW; Webb, AI; Stephens, AN

Author(s): Sandow, JJ; Rainczuk, A; Infusini, G; Makanji, M; Bilandzic, M; Wilson, AL; Fairweather, N; Stanton, PG; Garama, D; Gough, D; Jobling, TW; Webb, AI; Stephens, AN;
Details: Publication Year 2018-02-09,Volume 12,Issue #3,Page e1700135
Journal Title: Proteomics Clinical Applications
Publication Type: Journal Article
Abstract: PURPOSE: For the vast majority of ovarian cancer patients, optimal surgical debulking remains a key prognostic factor associated with improved survival. A standardized, biomarker-based test, to pre-operatively discriminate benign from malignant disease and inform appropriate patient triage, is highly desirable. However, no fit-for-purpose biomarkers have yet been identified. EXPERIMENTAL DESIGN: We conducted a pilot study consisting of 40 patient urine samples (20 from each group), using label-free quantitative (LFQ) mass spectrometry, to identify potential biomarker candidates in urine from individual ovarian cancer patients. To validate these changes, we used Parallel Reaction Monitoring (PRM) to investigate their abundance in an independent validation cohort (n = 20) of patient urine samples. RESULTS: LFQ analyses identified 4394 proteins (17,027 peptides) in a discovery set of 20 urine samples. 23 proteins were significantly elevated in the malignant patient group compared to patients with benign disease. Several proteins, including LYPD1, LYVE1, PTMA and SCGB1A1 were confirmed to be enriched in the urine of ovarian cancer patients using PRM. We also identified the established ovarian cancer biomarkers WFDC2 (HE4) and Mesothelin (MSLN), validating our approach. CONCLUSIONS AND CLINICAL RELEVANCE: This is the first application of a LFQ-PRM workflow to identify and validate ovarian cancer-specific biomarkers in patient urine samples. This article is protected by copyright. All rights reserved.
Publisher: Wiley
Keywords: Ovarian cancer; biomarkers; urinary system
Research Division(s): Systems Biology And Personalised Medicine
PubMed ID: 29426060
Publisher's Version: https://doi.org/10.1002/prca.201700135
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2018-02-28 08:05:02

Last Modified: 2019-06-20 02:45:42