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 |