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Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers
Prostate cancer (PCa) is second only to lung cancer as a cause of death. Clinical assessment of patients and treatment efficiency therefore depend on the disease being diagnosed as early as possible. However, due to issues regarding the use of prostate-specific antigen (PSA) for screening purposes,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218965/ https://www.ncbi.nlm.nih.gov/pubmed/32454797 http://dx.doi.org/10.1155/2020/8730608 |
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author | Jin, Wei Fei, Xiang Wang, Xia Song, Yan Chen, Fangjie |
author_facet | Jin, Wei Fei, Xiang Wang, Xia Song, Yan Chen, Fangjie |
author_sort | Jin, Wei |
collection | PubMed |
description | Prostate cancer (PCa) is second only to lung cancer as a cause of death. Clinical assessment of patients and treatment efficiency therefore depend on the disease being diagnosed as early as possible. However, due to issues regarding the use of prostate-specific antigen (PSA) for screening purposes, PCa management is among the most contentious of healthcare matters. PSA screening is problematic primarily because of diagnosis difficulties and the high rate of false-positive biopsies. Novel PCa biomarkers, such as the Prostate Health Index (PHI) and the 4Kscore, have been proposed in recent times to improve PSA prediction accuracy and have shown higher performance by preventing redundant biopsies. The 4Kscore also shows high precision in determining the risk of developing high-grade PCa, whereas elevated PHI levels suggest that the tumor is aggressive. Some evidence also supports the effectiveness of miRNAs as biomarkers for distinguishing PCa from benign prostatic hyperplasia and for assessing the aggressiveness of the disease. A number of miRNAs that possibly act as tumor inhibitors or oncogenes are impaired in PCa. These new biomarkers are comprehensively reviewed in the present study in terms of their potential use in diagnosing and treating PCa. |
format | Online Article Text |
id | pubmed-7218965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-72189652020-05-23 Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers Jin, Wei Fei, Xiang Wang, Xia Song, Yan Chen, Fangjie Mediators Inflamm Review Article Prostate cancer (PCa) is second only to lung cancer as a cause of death. Clinical assessment of patients and treatment efficiency therefore depend on the disease being diagnosed as early as possible. However, due to issues regarding the use of prostate-specific antigen (PSA) for screening purposes, PCa management is among the most contentious of healthcare matters. PSA screening is problematic primarily because of diagnosis difficulties and the high rate of false-positive biopsies. Novel PCa biomarkers, such as the Prostate Health Index (PHI) and the 4Kscore, have been proposed in recent times to improve PSA prediction accuracy and have shown higher performance by preventing redundant biopsies. The 4Kscore also shows high precision in determining the risk of developing high-grade PCa, whereas elevated PHI levels suggest that the tumor is aggressive. Some evidence also supports the effectiveness of miRNAs as biomarkers for distinguishing PCa from benign prostatic hyperplasia and for assessing the aggressiveness of the disease. A number of miRNAs that possibly act as tumor inhibitors or oncogenes are impaired in PCa. These new biomarkers are comprehensively reviewed in the present study in terms of their potential use in diagnosing and treating PCa. Hindawi 2020-05-04 /pmc/articles/PMC7218965/ /pubmed/32454797 http://dx.doi.org/10.1155/2020/8730608 Text en Copyright © 2020 Wei Jin et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Jin, Wei Fei, Xiang Wang, Xia Song, Yan Chen, Fangjie Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers |
title | Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers |
title_full | Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers |
title_fullStr | Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers |
title_full_unstemmed | Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers |
title_short | Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers |
title_sort | detection and prognosis of prostate cancer using blood-based biomarkers |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218965/ https://www.ncbi.nlm.nih.gov/pubmed/32454797 http://dx.doi.org/10.1155/2020/8730608 |
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