Comparison and analysis of the animal models used to study the effect of morphine on tumour growth and metastasis

Afsharimani, B., Doornebal, C. W., Cabot, P. J., Hollmann, M. W. and Parat, M.-O. (2015) Comparison and analysis of the animal models used to study the effect of morphine on tumour growth and metastasis. British Journal of Pharmacology, 172 2: 251-259. doi:10.1111/bph.12589

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Afsharimani, B.
Doornebal, C. W.
Cabot, P. J.
Hollmann, M. W.
Parat, M.-O.
Title Comparison and analysis of the animal models used to study the effect of morphine on tumour growth and metastasis
Journal name British Journal of Pharmacology   Check publisher's open access policy
ISSN 0007-1188
1476-5381
Publication date 2015-01-01
Year available 2014
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1111/bph.12589
Volume 172
Issue 2
Start page 251
End page 259
Total pages 9
Place of publication Chichester, United Kingdom
Publisher John Wiley & Sons
Collection year 2015
Language eng
Formatted abstract
The effect of opioids on tumour growth and metastasis has been debated for years, with recent emphasis on the possibility that they might influence the rate of disease-free survival after tumour resection when employed in the perioperative pain management of cancer surgery patients. The literature presents conflicting and inconclusive in vitro and in vivo data about the potential effect of opioids, and especially morphine, on tumour growth and metastasis. In order to inform clinical practice, appropriate animal models should be employed to test whether opioids alter the course of tumour growth and metastasis. We review the literature on animal-based studies testing the effect of morphine on cancer so far, and analyse differences between the models employed that may explain the discrepancies in published results, shed light on the role of opioids in cancer, and help define ideal preclinical models to provide a definitive answer.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Official 2015 Collection
School of Pharmacy Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 12 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 03 Feb 2014, 21:27:38 EST by Charna Kovacevic on behalf of School of Pharmacy