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Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review
New classification systems based on molecular features have been introduced to improve precision medicine for prostate cancer (PCa). This review covers the increasing risk of PCa and the differences in response to targeted therapy that are related to specific gene variations. We believe that genomic...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asian Pacific Prostate Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557186/ https://www.ncbi.nlm.nih.gov/pubmed/33102389 http://dx.doi.org/10.1016/j.prnil.2020.09.001 |
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author | Chung, Jae-Seung Morgan, Todd M. Hong, Sung Kyu |
author_facet | Chung, Jae-Seung Morgan, Todd M. Hong, Sung Kyu |
author_sort | Chung, Jae-Seung |
collection | PubMed |
description | New classification systems based on molecular features have been introduced to improve precision medicine for prostate cancer (PCa). This review covers the increasing risk of PCa and the differences in response to targeted therapy that are related to specific gene variations. We believe that genomic evaluations will be useful for guiding PCa risk stratification, screening, and treatment. We searched the PubMed and MEDLINE databases for articles related to genomic testing for PCa that were published in 2020 or earlier. There is increasing evidence that germline mutations in DNA repair genes, such as BRCA1/2 or ATM, are closely related to the development and aggressiveness of PCa. Targeted prostate-specific antigen screening based on the presence of germline alterations in DNA repair genes is recommend to achieve an early diagnosis of PCa. In cases of localized PCa, even if it has a favorable risk classification, patients under active surveillance with these gene alterations are likely to develop aggressive PCa. Thus, active treatment may be preferable to active surveillance for these patients. In cases of metastatic castration–resistant PCa, BRCA1/2 and DNA mismatch repair genes may be useful biomarkers for predicting the response to androgen receptor–targeting agents, poly (ADP-ribose) polymerase inhibitors, platinum chemotherapy, prostate-specific membrane antigen–targeted therapy, immunotherapy, and radium-223. Genomic evaluations may allow for risk stratification of patients with PCa based on their molecular features, which may help guide precision medicine for treating PCa. |
format | Online Article Text |
id | pubmed-7557186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Asian Pacific Prostate Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-75571862020-10-23 Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review Chung, Jae-Seung Morgan, Todd M. Hong, Sung Kyu Prostate Int Review Article New classification systems based on molecular features have been introduced to improve precision medicine for prostate cancer (PCa). This review covers the increasing risk of PCa and the differences in response to targeted therapy that are related to specific gene variations. We believe that genomic evaluations will be useful for guiding PCa risk stratification, screening, and treatment. We searched the PubMed and MEDLINE databases for articles related to genomic testing for PCa that were published in 2020 or earlier. There is increasing evidence that germline mutations in DNA repair genes, such as BRCA1/2 or ATM, are closely related to the development and aggressiveness of PCa. Targeted prostate-specific antigen screening based on the presence of germline alterations in DNA repair genes is recommend to achieve an early diagnosis of PCa. In cases of localized PCa, even if it has a favorable risk classification, patients under active surveillance with these gene alterations are likely to develop aggressive PCa. Thus, active treatment may be preferable to active surveillance for these patients. In cases of metastatic castration–resistant PCa, BRCA1/2 and DNA mismatch repair genes may be useful biomarkers for predicting the response to androgen receptor–targeting agents, poly (ADP-ribose) polymerase inhibitors, platinum chemotherapy, prostate-specific membrane antigen–targeted therapy, immunotherapy, and radium-223. Genomic evaluations may allow for risk stratification of patients with PCa based on their molecular features, which may help guide precision medicine for treating PCa. Asian Pacific Prostate Society 2020-09 2020-09-14 /pmc/articles/PMC7557186/ /pubmed/33102389 http://dx.doi.org/10.1016/j.prnil.2020.09.001 Text en © 2020 Asian Pacific Prostate Society. Publishing services by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Chung, Jae-Seung Morgan, Todd M. Hong, Sung Kyu Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review |
title | Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review |
title_full | Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review |
title_fullStr | Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review |
title_full_unstemmed | Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review |
title_short | Clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review |
title_sort | clinical implications of genomic evaluations for prostate cancer risk stratification, screening, and treatment: a narrative review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557186/ https://www.ncbi.nlm.nih.gov/pubmed/33102389 http://dx.doi.org/10.1016/j.prnil.2020.09.001 |
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