Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Modelling metastasis in vivo

Pearson, Helen B. ORCID: https://orcid.org/0000-0002-3284-0843 2013. Modelling metastasis in vivo. Madame Curie Bioscience Database, Georgetown TX: Landes Bioscience,

Full text not available from this repository.

Abstract

Most cancer-related deaths are due to metastatic disease, primarily reflecting the paucity of effective treatments once cancer has spread beyond the primary organ. Investigations into the molecular and cellular processes underlying the metastatic cascade are vital for streamlining therapeutic approaches directed against disseminated disease. To this end, extensive efforts have been devoted to the development of innovative and clinically relevant in vivo preclinical models that recapitulate metastasis in patients. The major platforms currently utilized include chemical induction, transplantation and genetically engineered mouse models. These models are used primarily to; (1) investigate the mechanisms regulating metastasis, (2) identify and validate novel prognostic and therapeutic targets and (3) test novel therapies. Here, we delineate the advantages and disadvantages of in vivo metastasis platforms currently in use, to aid investigators with the selection of most relevant models for their research examining specific aspects of metastasis and/or the efficacy of novel therapies. We briefly discuss the limited ability of current models to accurately predict drug response in the clinic and the restricted range of molecular tumor subtypes that can be modeled. These remain important issues and represent key challenges to improve the clinical relevance of the next generation of metastasis models.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Biosciences
European Cancer Stem Cell Research Institute (ECSCRI)
Publisher: Landes Bioscience
Last Modified: 03 Nov 2022 09:47
URI: https://orca.cardiff.ac.uk/id/eprint/105976

Actions (repository staff only)

Edit Item Edit Item