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Prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics

Prostate cancer (PCa) metastasizes to bone and soft tissues, greatly decreasing quality of life, causing bone pain, skeletal complications, and mortality in PCa patients. While new treatment strategies are being developed, the molecular and cellular basis of PCa metastasis and the “cross-talk” betwe...

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Autores principales: Ziaee, Shabnam, Chu, Gina Chia-Yi, Huang, Jen-Ming, Sieh, Shirly, Chung, Leland W. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708593/
https://www.ncbi.nlm.nih.gov/pubmed/26816842
http://dx.doi.org/10.3978/j.issn.2223-4683.2015.04.10
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author Ziaee, Shabnam
Chu, Gina Chia-Yi
Huang, Jen-Ming
Sieh, Shirly
Chung, Leland W. K.
author_facet Ziaee, Shabnam
Chu, Gina Chia-Yi
Huang, Jen-Ming
Sieh, Shirly
Chung, Leland W. K.
author_sort Ziaee, Shabnam
collection PubMed
description Prostate cancer (PCa) metastasizes to bone and soft tissues, greatly decreasing quality of life, causing bone pain, skeletal complications, and mortality in PCa patients. While new treatment strategies are being developed, the molecular and cellular basis of PCa metastasis and the “cross-talk” between cancer cells and their microenvironment and crucial cell signaling pathways need to be successfully dissected for intervention. In this review, we introduce a new concept of the mechanism of PCa metastasis, the recruitment and reprogramming of bystander and dormant cells (DCs) by a population of metastasis-initiating cells (MICs). We provide evidence that recruited and reprogrammed DCs gain MICs phenotypes and can subsequently metastasize to bone and soft tissues. We show that MICs can also recruit and reprogram circulating tumor cells (CTCs) and this could contribute to cancer cell evolution and the acquisition of therapeutic resistance. We summarize relevant molecular signaling pathways, including androgen receptors (ARs) and their variants and growth factors (GFs) and cytokines that could contribute to the predilection of PCa for homing to bone and soft tissues. To understand the etiology and the biology of PCa and the effectiveness of therapeutic targeting, we briefly summarize the animal and cell models that have been employed. We also report our experience in the use of three-dimensional (3-D) culture and co-culture models to understand cell signaling networks and the use of these attractive tools to conduct drug screening exercises against already-identified molecular targets. Further research into PCa growth and metastasis will improve our ability to target cancer metastasis more effectively and provide better rationales for personalized oncology.
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spelling pubmed-47085932016-01-26 Prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics Ziaee, Shabnam Chu, Gina Chia-Yi Huang, Jen-Ming Sieh, Shirly Chung, Leland W. K. Transl Androl Urol Review Article Prostate cancer (PCa) metastasizes to bone and soft tissues, greatly decreasing quality of life, causing bone pain, skeletal complications, and mortality in PCa patients. While new treatment strategies are being developed, the molecular and cellular basis of PCa metastasis and the “cross-talk” between cancer cells and their microenvironment and crucial cell signaling pathways need to be successfully dissected for intervention. In this review, we introduce a new concept of the mechanism of PCa metastasis, the recruitment and reprogramming of bystander and dormant cells (DCs) by a population of metastasis-initiating cells (MICs). We provide evidence that recruited and reprogrammed DCs gain MICs phenotypes and can subsequently metastasize to bone and soft tissues. We show that MICs can also recruit and reprogram circulating tumor cells (CTCs) and this could contribute to cancer cell evolution and the acquisition of therapeutic resistance. We summarize relevant molecular signaling pathways, including androgen receptors (ARs) and their variants and growth factors (GFs) and cytokines that could contribute to the predilection of PCa for homing to bone and soft tissues. To understand the etiology and the biology of PCa and the effectiveness of therapeutic targeting, we briefly summarize the animal and cell models that have been employed. We also report our experience in the use of three-dimensional (3-D) culture and co-culture models to understand cell signaling networks and the use of these attractive tools to conduct drug screening exercises against already-identified molecular targets. Further research into PCa growth and metastasis will improve our ability to target cancer metastasis more effectively and provide better rationales for personalized oncology. AME Publishing Company 2015-08 /pmc/articles/PMC4708593/ /pubmed/26816842 http://dx.doi.org/10.3978/j.issn.2223-4683.2015.04.10 Text en 2015 Translational Andrology and Urology. All rights reserved.
spellingShingle Review Article
Ziaee, Shabnam
Chu, Gina Chia-Yi
Huang, Jen-Ming
Sieh, Shirly
Chung, Leland W. K.
Prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics
title Prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics
title_full Prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics
title_fullStr Prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics
title_full_unstemmed Prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics
title_short Prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics
title_sort prostate cancer metastasis: roles of recruitment and reprogramming, cell signal network and three-dimensional growth characteristics
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4708593/
https://www.ncbi.nlm.nih.gov/pubmed/26816842
http://dx.doi.org/10.3978/j.issn.2223-4683.2015.04.10
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