grant

The use of gene expression profiles to predict the response to chemoradiotherapy in patients with oesophageal cancer [ 2005 - 2007 ]

Also known as: Predicting response to therapy in patients with oesophageal cancer

Research Grant

[Cite as http://purl.org/au-research/grants/nhmrc/350414]

Researchers: Prof Wayne Phillips (Principal investigator) ,  Prof Robert Thomas

Brief description One of the most difficult and clinically important questions facing clinicians treating advanced cancer is deciding which patients will, and who will not, benefit from chemotherapy and-or radiotherapy. This is particularly true for clinicians treating locally advanced oesophageal cancer. Oesophageal cancer is a particularly aggressive tumour with a poor prognosis; the majority of patients die within 1 year of diagnosis with only 10% surviving to 5 years. In an attempt to improve outcomes, the use of preoperative (neoadjuvant) combined chemotherapy and radiotherapy as an adjunct to surgery has become common practice. Neoadjuvant therapy has been reported to induce complete regression of the tumour and increased survival times in 20-30% of patients. However, the lack of any apparent clinical benefit for those patients who are poor or non-responders to chemoradiation implies that a large proportion of patients are being exposed to significant toxicity and potential complication for no obvious advantage. In the project outlined in this application, we propose to use cDNA microarrays, a technology that allows the simultaneous assessment of the level of expression of thousands of genes at once, to profile the gene expression patterns of oesophageal tumours. These profiles will then correlated to the patients response to treatment to determine if the gene expression patterns can be used to predict the clinical response to chemoradiotherapy. Success will open the path to the development of a clinically important test that would significantly improve the management of advanced cancer patients by enabling personalised therapy for individual patients. Not only will this allow the selection of the most effective therapy for each patient but it will also free patients from suffering the nasty side effects of treatments that turn out to be of little benefit.

Funding Amount $AUD 384,600.00

Funding Scheme NHMRC Project Grants

Notes Standard Project Grant

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