Literature DB >> 21137051

Comparison of proteomic biomarker panels in urine and serum for ovarian cancer diagnosis.

Anette Lykke Petri1, Anja Hviid Simonsen, Estrid Høgdall, Ib Jarle Christensen, Susanne Krüger Kjaer, Christine Yip, Signe Risum, Anette Tønnes Pedersen, Dorte Hartwell, Eric T Fung, Claus Høgdall.   

Abstract

PURPOSE: The purposes of this study were to confirm previously found candidate epithelial ovarian cancer biomarkers in urine and to compare a paired serum biomarker panel and a urine biomarker panel from the same study cohort with regard to the receiver operating characteristic curve (ROC) area under the ROC curve (AUC) values. EXPERIMENTAL
DESIGN: Four significant urine biomarkers were confirmed among 130 pelvic mass patients in the present study. The four biomarkers form a potential urine biomarker panel. From the same study cohort, the potential urine biomarker panel was compared to a serum biomarker panel, consisting of seven proteins/peptides, OvaRI.
RESULTS: Multivariate analysis of the urine panel demonstrated a significant differentiation (p<0.0001) between epithelial ovarian cancer patients and patients with benign ovarian pelvic masses. The ROC AUC of the urine panel was 0.84 and the ROC AUC of OvaRI was 0.83. Combining the urine panel with OvaRI demonstrated a significant contribution from both, for urine peaks, OR=2.12 and for OvaRI, OR=1.39; the ROC AUC of this model was 0.88. CONCLUSIONS AND CLINICAL RELEVANCE: We demonstrated that both urine and serum can be used individually or in combination to potentially aid in ovarian cancer diagnostics. Urine proteomic profiling could provide biomarkers for the non-invasive test required in clinical practice.
Copyright © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2010        PMID: 21137051     DOI: 10.1002/prca.200900042

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  6 in total

Review 1.  -The advancement of biomarker-based diagnostic tools for ovarian, breast, and pancreatic cancer through the use of urine as an analytical biofluid.

Authors:  Brian M Nolen; Anna E Lokshin
Journal:  Int J Biol Markers       Date:  2011-09-21       Impact factor: 2.659

2.  Multianalyte assay systems in the differential diagnosis of ovarian cancer.

Authors:  Brian M Nolen; Anna E Lokshin
Journal:  Expert Opin Med Diagn       Date:  2012-03

3.  Urinary biomarkers for the detection of ovarian cancer: a systematic review.

Authors:  Gemma L Owens; Chloe E Barr; Holly White; Kelechi Njoku; Emma J Crosbie
Journal:  Carcinogenesis       Date:  2022-05-19       Impact factor: 4.741

Review 4.  Danish Gynecological Cancer Database.

Authors:  Sarah Mejer Sørensen; Signe Frahm Bjørn; Kirsten Marie Jochumsen; Pernille Tine Jensen; Ingrid Regitze Thranov; Helle Hare-Bruun; Lene Seibæk; Claus Høgdall
Journal:  Clin Epidemiol       Date:  2016-10-25       Impact factor: 4.790

5.  Discovery of serum biomarkers of ovarian cancer using complementary proteomic profiling strategies.

Authors:  John F Timms; Elif Arslan-Low; Musarat Kabir; Jenny Worthington; Stephane Camuzeaux; John Sinclair; Joanna Szaub; Babak Afrough; Vladimir N Podust; Evangelia-Ourania Fourkala; Myriam Cubizolles; Florian Kronenberg; Eric T Fung; Aleksandra Gentry-Maharaj; Usha Menon; Ian Jacobs
Journal:  Proteomics Clin Appl       Date:  2014-11-10       Impact factor: 3.494

6.  Ovarian cyst fluid is a rich proteome resource for detection of new tumor biomarkers.

Authors:  Björg Kristjansdottir; Karolina Partheen; Eric T Fung; Janusz Marcickiewicz; Christine Yip; Mats Brännström; Karin Sundfeldt
Journal:  Clin Proteomics       Date:  2012-12-27       Impact factor: 3.988

  6 in total

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