Emerging Players in Prostate Cancer-Bone Niche Communication.


Journal

Trends in cancer
ISSN: 2405-8025
Titre abrégé: Trends Cancer
Pays: United States
ID NLM: 101665956

Informations de publication

Date de publication:
02 2021
Historique:
received: 29 07 2020
revised: 21 09 2020
accepted: 28 09 2020
pubmed: 5 12 2020
medline: 1 10 2021
entrez: 4 12 2020
Statut: ppublish

Résumé

Patients with advanced prostate cancer (PCa) frequently develop skeletal metastases that are associated with fractures, disability, and increased mortality. Within the bone metastatic niche, mutual interactions between tumor cells and osteoblasts have been proposed as major contributors of osteotropism by PCa. Here, we highlight the emerging role of PCa-derived extracellular vesicles (EVs) in reprogramming osteoblasts and support of premetastatic niche formation. We also develop the concept of cancer-associated osteoblasts (CAOs) and outline the potential of PCa cells to acquire an osteoblastic phenotype, termed osteomimicry, as two strategies that PCa utilizes to create a favorable protected niche. Finally, we delineate future research that may help to deconstruct the complexity of PCa osteotropism.

Identifiants

pubmed: 33274720
pii: S2405-8033(20)30262-4
doi: 10.1016/j.trecan.2020.09.006
pii:
doi:

Substances chimiques

Antineoplastic Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

112-121

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Auteurs

Giulia Furesi (G)

Department of Medicine III and Center for Healthy Aging, Technische Universität Dresden, Dresden, Germany.

Martina Rauner (M)

Department of Medicine III and Center for Healthy Aging, Technische Universität Dresden, Dresden, Germany.

Lorenz C Hofbauer (LC)

Department of Medicine III and Center for Healthy Aging, Technische Universität Dresden, Dresden, Germany. Electronic address: lorenz.hofbauer@uniklinikum-dresden.de.

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Classifications MeSH