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Biomarkers for prostate cancer detection and risk stratification
Although prostate cancer (PCa) is the most commonly diagnosed cancer in men, most patients do not die from the disease. Prostate specific antigen (PSA), the most widely used oncologic biomarker, has revolutionized screening and early detection, resulting in reduced proportion of patients presenting...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201356/ https://www.ncbi.nlm.nih.gov/pubmed/35719272 http://dx.doi.org/10.1177/17562872221103988 |
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author | Farha, Mark W. Salami, Simpa S. |
author_facet | Farha, Mark W. Salami, Simpa S. |
author_sort | Farha, Mark W. |
collection | PubMed |
description | Although prostate cancer (PCa) is the most commonly diagnosed cancer in men, most patients do not die from the disease. Prostate specific antigen (PSA), the most widely used oncologic biomarker, has revolutionized screening and early detection, resulting in reduced proportion of patients presenting with advanced disease. However, given the inherent limitations of PSA, additional diagnostic and prognostic tools are needed to facilitate early detection and accurate risk stratification of disease. Serum, urine, and tissue-based biomarkers are increasingly being incorporated into the clinical care paradigm, but there is still a limited understanding of how to use them most effectively. In the current article, we review test characteristics and clinical performance data for both serum [4 K score, prostate health index (phi)] and urine [SelectMDx, ExoDx Prostate Intelliscore, MyProstateScore (MPS), and PCa antigen 3 (PCA3)] biomarkers to aid decisions regarding initial or repeat biopsies as well as tissue-based biomarkers (Confirm MDx, Decipher, Oncotype Dx, and Polaris) aimed at risk stratifying patients and identifying those patients most likely to benefit from treatment versus surveillance or monotherapy versus multi-modal therapy. |
format | Online Article Text |
id | pubmed-9201356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92013562022-06-17 Biomarkers for prostate cancer detection and risk stratification Farha, Mark W. Salami, Simpa S. Ther Adv Urol Current Best Practice for Prostate Biopsy: What is the evidence? Although prostate cancer (PCa) is the most commonly diagnosed cancer in men, most patients do not die from the disease. Prostate specific antigen (PSA), the most widely used oncologic biomarker, has revolutionized screening and early detection, resulting in reduced proportion of patients presenting with advanced disease. However, given the inherent limitations of PSA, additional diagnostic and prognostic tools are needed to facilitate early detection and accurate risk stratification of disease. Serum, urine, and tissue-based biomarkers are increasingly being incorporated into the clinical care paradigm, but there is still a limited understanding of how to use them most effectively. In the current article, we review test characteristics and clinical performance data for both serum [4 K score, prostate health index (phi)] and urine [SelectMDx, ExoDx Prostate Intelliscore, MyProstateScore (MPS), and PCa antigen 3 (PCA3)] biomarkers to aid decisions regarding initial or repeat biopsies as well as tissue-based biomarkers (Confirm MDx, Decipher, Oncotype Dx, and Polaris) aimed at risk stratifying patients and identifying those patients most likely to benefit from treatment versus surveillance or monotherapy versus multi-modal therapy. SAGE Publications 2022-06-14 /pmc/articles/PMC9201356/ /pubmed/35719272 http://dx.doi.org/10.1177/17562872221103988 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Current Best Practice for Prostate Biopsy: What is the evidence? Farha, Mark W. Salami, Simpa S. Biomarkers for prostate cancer detection and risk stratification |
title | Biomarkers for prostate cancer detection and risk
stratification |
title_full | Biomarkers for prostate cancer detection and risk
stratification |
title_fullStr | Biomarkers for prostate cancer detection and risk
stratification |
title_full_unstemmed | Biomarkers for prostate cancer detection and risk
stratification |
title_short | Biomarkers for prostate cancer detection and risk
stratification |
title_sort | biomarkers for prostate cancer detection and risk
stratification |
topic | Current Best Practice for Prostate Biopsy: What is the evidence? |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201356/ https://www.ncbi.nlm.nih.gov/pubmed/35719272 http://dx.doi.org/10.1177/17562872221103988 |
work_keys_str_mv | AT farhamarkw biomarkersforprostatecancerdetectionandriskstratification AT salamisimpas biomarkersforprostatecancerdetectionandriskstratification |