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Using gene expression profiling to predict response and prognosis in gastrointestinal cancers-the promise and the perils


Brettingham-Moore, KH and Duong, CP and Heriot, AG and Thomas, RJS and Phillips, WA, Using gene expression profiling to predict response and prognosis in gastrointestinal cancers-the promise and the perils, Annals of Surgical Oncology, 18, (5) pp. 1484-1491. ISSN 1068-9265 (2011) [Refereed Article]

Copyright Statement

Copyright 2010 Society of Surgical Oncology

DOI: doi:10.1245/s10434-010-1433-1


Cancer treatment is now moving toward a personalized approach, promising improved rates of response and survival. A number of studies have employed the use of microarrays to investigate the predictive potential of expression profiling in gastrointestinal (GI) cancer patients. However while many robust predictive classifiers relating to response and prognosis have been generated for GI cancer patients, these have yet to make the transition to the clinic. The main obstacle is the limited cross validation between predictive gene lists identified for the same tumor type and outcome. Differences in the experimental design, analysis, and interpretation of results all contribute to this variation, with numerous factors influencing which genes are highlighted as predictive. While predictive genomics shows immense potential, it is still a relatively new field and the validation of predictive gene lists derived from microarray data remains a challenge. Future studies must carefully consider all aspects of experimental design to ensure a clinically applicable predictive test can be developed. With this in mind, more extensive and collaborative research must be undertaken before microarray-based platforms can be used routinely in tailoring GI cancer treatment and change clinical practice. Larger cohorts and consistency in methodology will enable the findings from this research to make the transition to the clinic.

Item Details

Item Type:Refereed Article
Keywords:gastrointestinal cancer, gene expression
Research Division:Biomedical and Clinical Sciences
Research Group:Oncology and carcinogenesis
Research Field:Cancer genetics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the health sciences
UTAS Author:Brettingham-Moore, KH (Dr Kate Brettingham-Moore)
ID Code:95840
Year Published:2011
Web of Science® Times Cited:20
Deposited By:Menzies Institute for Medical Research
Deposited On:2014-10-09
Last Modified:2017-11-06

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