Preclinical Murine Models for Lung Cancer: Clinical Trial Applications

Joint Authors

Morris, Don G.
Kellar, Amelia
Egan, Cay

Source

BioMed Research International

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-05-03

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Medicine

Abstract EN

Murine models for the study of lung cancer have historically been the backbone of preliminary preclinical data to support early human clinical trials.

However, the availability of multiple experimental systems leads to debate concerning which model, if any, is best suited for a particular therapeutic strategy.

It is imperative that these models accurately predict clinical benefit of therapy.

This review provides an overview of the current murine models used to study lung cancer and the advantages and limitations of each model, as well as a retrospective evaluation of the uses of each model with respect to accuracy in predicting clinical benefit of therapy.

A better understanding of murine models and their uses, as well as their limitations may aid future research concerning the development and implementation of new targeted therapies and chemotherapeutic agents for lung cancer.

American Psychological Association (APA)

Kellar, Amelia& Egan, Cay& Morris, Don G.. 2015. Preclinical Murine Models for Lung Cancer: Clinical Trial Applications. BioMed Research International،Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1056159

Modern Language Association (MLA)

Kellar, Amelia…[et al.]. Preclinical Murine Models for Lung Cancer: Clinical Trial Applications. BioMed Research International No. 2015 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1056159

American Medical Association (AMA)

Kellar, Amelia& Egan, Cay& Morris, Don G.. Preclinical Murine Models for Lung Cancer: Clinical Trial Applications. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-17.
https://search.emarefa.net/detail/BIM-1056159

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1056159