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Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine

Worldwide, prostate cancer (PC) is the second-most-frequently diagnosed male cancer and the fifth-most-common cause of all cancer-related deaths. Suspicion of PC in a patient is largely based upon clinical signs and the use of prostate-specific antigen (PSA) levels. Although PSA levels have been cri...

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Autores principales: Meehan, James, Gray, Mark, Martínez-Pérez, Carlos, Kay, Charlene, McLaren, Duncan, Turnbull, Arran K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306523/
https://www.ncbi.nlm.nih.gov/pubmed/34357131
http://dx.doi.org/10.3390/jpm11070664
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author Meehan, James
Gray, Mark
Martínez-Pérez, Carlos
Kay, Charlene
McLaren, Duncan
Turnbull, Arran K.
author_facet Meehan, James
Gray, Mark
Martínez-Pérez, Carlos
Kay, Charlene
McLaren, Duncan
Turnbull, Arran K.
author_sort Meehan, James
collection PubMed
description Worldwide, prostate cancer (PC) is the second-most-frequently diagnosed male cancer and the fifth-most-common cause of all cancer-related deaths. Suspicion of PC in a patient is largely based upon clinical signs and the use of prostate-specific antigen (PSA) levels. Although PSA levels have been criticised for a lack of specificity, leading to PC over-diagnosis, it is still the most commonly used biomarker in PC management. Unfortunately, PC is extremely heterogeneous, and it can be difficult to stratify patients whose tumours are unlikely to progress from those that are aggressive and require treatment intensification. Although PC-specific biomarker research has previously focused on disease diagnosis, there is an unmet clinical need for novel prognostic, predictive and treatment response biomarkers that can be used to provide a precision medicine approach to PC management. In particular, the identification of biomarkers at the time of screening/diagnosis that can provide an indication of disease aggressiveness is perhaps the greatest current unmet clinical need in PC management. Largely through advances in genomic and proteomic techniques, exciting pre-clinical and clinical research is continuing to identify potential tissue, blood and urine-based PC-specific biomarkers that may in the future supplement or replace current standard practices. In this review, we describe how PC-specific biomarker research is progressing, including the evolution of PSA-based tests and those novel assays that have gained clinical approval. We also describe alternative diagnostic biomarkers to PSA, in addition to biomarkers that can predict PC aggressiveness and biomarkers that can predict response to certain therapies. We believe that novel biomarker research has the potential to make significant improvements to the clinical management of this disease in the near future.
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spelling pubmed-83065232021-07-25 Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine Meehan, James Gray, Mark Martínez-Pérez, Carlos Kay, Charlene McLaren, Duncan Turnbull, Arran K. J Pers Med Review Worldwide, prostate cancer (PC) is the second-most-frequently diagnosed male cancer and the fifth-most-common cause of all cancer-related deaths. Suspicion of PC in a patient is largely based upon clinical signs and the use of prostate-specific antigen (PSA) levels. Although PSA levels have been criticised for a lack of specificity, leading to PC over-diagnosis, it is still the most commonly used biomarker in PC management. Unfortunately, PC is extremely heterogeneous, and it can be difficult to stratify patients whose tumours are unlikely to progress from those that are aggressive and require treatment intensification. Although PC-specific biomarker research has previously focused on disease diagnosis, there is an unmet clinical need for novel prognostic, predictive and treatment response biomarkers that can be used to provide a precision medicine approach to PC management. In particular, the identification of biomarkers at the time of screening/diagnosis that can provide an indication of disease aggressiveness is perhaps the greatest current unmet clinical need in PC management. Largely through advances in genomic and proteomic techniques, exciting pre-clinical and clinical research is continuing to identify potential tissue, blood and urine-based PC-specific biomarkers that may in the future supplement or replace current standard practices. In this review, we describe how PC-specific biomarker research is progressing, including the evolution of PSA-based tests and those novel assays that have gained clinical approval. We also describe alternative diagnostic biomarkers to PSA, in addition to biomarkers that can predict PC aggressiveness and biomarkers that can predict response to certain therapies. We believe that novel biomarker research has the potential to make significant improvements to the clinical management of this disease in the near future. MDPI 2021-07-15 /pmc/articles/PMC8306523/ /pubmed/34357131 http://dx.doi.org/10.3390/jpm11070664 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Meehan, James
Gray, Mark
Martínez-Pérez, Carlos
Kay, Charlene
McLaren, Duncan
Turnbull, Arran K.
Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine
title Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine
title_full Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine
title_fullStr Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine
title_full_unstemmed Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine
title_short Tissue- and Liquid-Based Biomarkers in Prostate Cancer Precision Medicine
title_sort tissue- and liquid-based biomarkers in prostate cancer precision medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306523/
https://www.ncbi.nlm.nih.gov/pubmed/34357131
http://dx.doi.org/10.3390/jpm11070664
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