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Immunological considerations of modern animal models of malignant primary brain tumors

  • Michael E. Sughrue
    ,
  • Isaac Yang
    ,
  • Ari J. Kane
    ,
  • Martin J. Rutkowski
    ,
  • Shanna Fang
    ,
  • C. David James
*Corresponding author for this work
  • University of California at San Francisco
Scholary Output:
Contribution to journal
Review article
Peer-review

Open access

Abstract

Recent advances in animal models of glioma have facilitated a better understanding of biological mechanisms underlying gliomagenesis and glioma progression. The limitations of existing therapy, including surgery, chemotherapy, and radiotherapy, have prompted numerous investigators to search for new therapeutic approaches to improve quantity and quality of survival from these aggressive lesions. One of these approaches involves triggering a tumor specific immune response. However, a difficulty in this approach is the the scarcity of animal models of primary CNS neoplasms which faithfully recapitulate these tumors and their interaction with the host's immune system. In this article, we review the existing methods utilized to date for modeling gliomas in rodents, with a focus on the known as well as potential immunological aspects of these models. As this review demonstrates, many of these models have inherent immune system limitations, and the impact of these limitations on studies on the influence of pre-clinical therapeutics testing warrants further attention.

Publication Information

Output type

Scholary Output:
Contribution to journal
Review article
Peer-review

Original language

English (US)

Article number

1479

Pages from-to (Number of pages)

Page 84 (1 page)

Journal (Volume, Issue Number)

Journal of Translational Medicine (Volume 7)

Publication milestones

  • Published - 10/08/2009

Publication status

Published - 10/08/2009

Publication IDs

  • Scopus: 70449699924
  • PubMed: 19814820

Publication metrics

Metrics

Scopus
citations
Fractional count
1
Fractional count
0.14
Fractional count
6
Fractional count
0.86
Fractional count
1
Fractional count
1
SciVal
citations
18
SciVal
FWCI
0.16
SciVal
Author count
7
SciVal
Paper percentile
73

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49
Citation count
22