Identification of a serum biomarker signature associated with metastatic prostate cancer Journal Article


Authors: Kuci Emruli, V.; Liljedahl, L.; Axelsson, U.; Richter, C.; Theorin, L.; Bjartell, A.; Lilja, H.; Donovan, J.; Neal, D.; Hamdy, F. C.; Borrebaeck, C. A. K.
Article Title: Identification of a serum biomarker signature associated with metastatic prostate cancer
Abstract: Purpose: Improved early diagnosis and determination of aggressiveness of prostate cancer (PC) is important to select suitable treatment options and to decrease over-treatment. The conventional marker is total prostate specific antigen (PSA) levels in blood, but lacks specificity and ability to accurately discriminate indolent from aggressive disease. Experimental design: In this study, we sought to identify a serum biomarker signature associated with metastatic PC. We measured 157 analytes in 363 serum samples from healthy subjects, patients with non-metastatic PC and patients with metastatic PC, using a recombinant antibody microarray. Results: A signature consisting of 69 proteins differentiating metastatic PC patients from healthy controls was identified. Conclusions and clinical relevance: The clinical value of this biomarker signature requires validation in larger independent patient cohorts before providing a new prospect for detection of metastatic PC. © 2021 The Authors. Proteomics – Clinical Applications published by Wiley-VCH GmbH
Keywords: adult; controlled study; major clinical study; diagnostic accuracy; sensitivity and specificity; biomarkers; prostate specific antigen; metastasis; retrospective study; proteomics; tumor marker; prostate cancer; recombinant antibody; diagnostic value; microarray analysis; predictive value; antibody microarrays; receiver operating characteristic; diagnostic test accuracy study; cancer; human; male; article; affinity proteomics
Journal Title: Proteomics Clinical Applications
Volume: 15
Issue: 2-3
ISSN: 1862-8346
Publisher: Wiley V C H Verlag Gmbh  
Date Published: 2021-05-01
Start Page: 2000025
Language: English
DOI: 10.1002/prca.202000025
PUBMED: 33580906
PROVIDER: scopus
PMCID: PMC9310707
DOI/URL:
Notes: Article -- Export Date: 1 July 2021 -- Source: Scopus
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  1. Hans Gosta Lilja
    343 Lilja