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Genetics and biology of prostate cancer
Despite the high long-term survival in localized prostate cancer, metastatic prostate cancer remains largely incurable even after intensive multimodal therapy. The lethality of advanced disease is driven by the lack of therapeutic regimens capable of generating durable responses in the setting of ex...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120714/ https://www.ncbi.nlm.nih.gov/pubmed/30181359 http://dx.doi.org/10.1101/gad.315739.118 |
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author | Wang, Guocan Zhao, Di Spring, Denise J. DePinho, Ronald A. |
author_facet | Wang, Guocan Zhao, Di Spring, Denise J. DePinho, Ronald A. |
author_sort | Wang, Guocan |
collection | PubMed |
description | Despite the high long-term survival in localized prostate cancer, metastatic prostate cancer remains largely incurable even after intensive multimodal therapy. The lethality of advanced disease is driven by the lack of therapeutic regimens capable of generating durable responses in the setting of extreme tumor heterogeneity on the genetic and cell biological levels. Here, we review available prostate cancer model systems, the prostate cancer genome atlas, cellular and functional heterogeneity in the tumor microenvironment, tumor-intrinsic and tumor-extrinsic mechanisms underlying therapeutic resistance, and technological advances focused on disease detection and management. These advances, along with an improved understanding of the adaptive responses to conventional cancer therapies, anti-androgen therapy, and immunotherapy, are catalyzing development of more effective therapeutic strategies for advanced disease. In particular, knowledge of the heterotypic interactions between and coevolution of cancer and host cells in the tumor microenvironment has illuminated novel therapeutic combinations with a strong potential for more durable therapeutic responses and eventual cures for advanced disease. Improved disease management will also benefit from artificial intelligence-based expert decision support systems for proper standard of care, prognostic determinant biomarkers to minimize overtreatment of localized disease, and new standards of care accelerated by next-generation adaptive clinical trials. |
format | Online Article Text |
id | pubmed-6120714 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61207142019-03-01 Genetics and biology of prostate cancer Wang, Guocan Zhao, Di Spring, Denise J. DePinho, Ronald A. Genes Dev Review Despite the high long-term survival in localized prostate cancer, metastatic prostate cancer remains largely incurable even after intensive multimodal therapy. The lethality of advanced disease is driven by the lack of therapeutic regimens capable of generating durable responses in the setting of extreme tumor heterogeneity on the genetic and cell biological levels. Here, we review available prostate cancer model systems, the prostate cancer genome atlas, cellular and functional heterogeneity in the tumor microenvironment, tumor-intrinsic and tumor-extrinsic mechanisms underlying therapeutic resistance, and technological advances focused on disease detection and management. These advances, along with an improved understanding of the adaptive responses to conventional cancer therapies, anti-androgen therapy, and immunotherapy, are catalyzing development of more effective therapeutic strategies for advanced disease. In particular, knowledge of the heterotypic interactions between and coevolution of cancer and host cells in the tumor microenvironment has illuminated novel therapeutic combinations with a strong potential for more durable therapeutic responses and eventual cures for advanced disease. Improved disease management will also benefit from artificial intelligence-based expert decision support systems for proper standard of care, prognostic determinant biomarkers to minimize overtreatment of localized disease, and new standards of care accelerated by next-generation adaptive clinical trials. Cold Spring Harbor Laboratory Press 2018-09-01 /pmc/articles/PMC6120714/ /pubmed/30181359 http://dx.doi.org/10.1101/gad.315739.118 Text en © 2018 Wang et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genesdev.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Review Wang, Guocan Zhao, Di Spring, Denise J. DePinho, Ronald A. Genetics and biology of prostate cancer |
title | Genetics and biology of prostate cancer |
title_full | Genetics and biology of prostate cancer |
title_fullStr | Genetics and biology of prostate cancer |
title_full_unstemmed | Genetics and biology of prostate cancer |
title_short | Genetics and biology of prostate cancer |
title_sort | genetics and biology of prostate cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120714/ https://www.ncbi.nlm.nih.gov/pubmed/30181359 http://dx.doi.org/10.1101/gad.315739.118 |
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