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Erschienen in: Current Osteoporosis Reports 5/2019

16.09.2019 | Cancer-induced Musculoskeletal Diseases (E Keller and J Sterling, Section editors)

Osteosarcoma in the Post Genome Era: Preclinical Models and Approaches to Identify Tractable Therapeutic Targets

verfasst von: Wilson Castillo-Tandazo, Anthony J. Mutsaers, Carl R. Walkley

Erschienen in: Current Osteoporosis Reports | Ausgabe 5/2019

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Abstract

Purpose of Review

Osteosarcoma (OS) is the most common cancer of bone, yet is classified as a rare cancer. Treatment and outcomes for OS have not substantively changed in several decades. While the decoding of the OS genome greatly advanced the understanding of the mutational landscape of OS, immediately actionable therapeutic targets were not apparent. Here we describe recent preclinical models that can be leveraged to identify, test, and prioritize therapeutic candidates.

Recent Findings

The generation of multiple high fidelity murine models of OS, the spontaneous disease that arises in pet dogs, and the establishment of a diverse collection of patient-derived OS xenografts provide a robust preclinical platform for OS. These models enable evidence to be accumulated across multiple stages of preclinical evaluation. Chemical and genetic screening has identified therapeutic targets, often demonstrating cross species activity. Clinical trials in both PDX models and in canine OS have effectively tested new therapies for prioritization.

Summary

Improving clinical outcomes in OS has proven elusive. The integrated target discovery and testing possible through a cross species platform provides validation of a putative target and may enable the rigorous evaluation of new therapies in models where endpoints can be rapidly assessed.
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Metadaten
Titel
Osteosarcoma in the Post Genome Era: Preclinical Models and Approaches to Identify Tractable Therapeutic Targets
verfasst von
Wilson Castillo-Tandazo
Anthony J. Mutsaers
Carl R. Walkley
Publikationsdatum
16.09.2019
Verlag
Springer US
Erschienen in
Current Osteoporosis Reports / Ausgabe 5/2019
Print ISSN: 1544-1873
Elektronische ISSN: 1544-2241
DOI
https://doi.org/10.1007/s11914-019-00534-w

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