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Title: Gene expression profiling of metastatic gastric cancer
Author: Paon, Lenaic Marie Pierre
ISNI:       0000 0001 3466 7952
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2007
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Gastric cancer is one of the main cancers in the world, and is responsible for a large number of deaths each year. In Europe, the main issue is that it is only detected at latter stages, when metastases have developed. Although metastasis is the main cause of death from such tumours, the process is a very complex one and still not fully understood. In order to unravel this mechanism, microarrays have been used to study the expression pattern of a large number of genes in primary tumours and metastatic samples. These studies aim at indentifying genes that may playa role in metastasis. A number of microarray studies have already been carried out on gastric cancer to pursue knowledge. However, they have been mainly carried out in Asian populations, which are thought to present different gastric tumours than Europeans, possibly due to genetic and environmental parameters. The present thesis therefore aimed to carry out the first microarray study on gastric tumours from a European population, to identify genes that might playa role in gastric cancer metastasis, and assess whether there were any differences between Asian and European samples. In order to achieve this aim, the printing of in-house microarrays and methods to amplify and hybridise the samples first needed to be developed. This included the development of a new amplification method, the SMARTff7 protocol. Results showed that this method allowed more genes to be amplified than with an .established protocol. In addition, a microarray study published in 2003 identified a metastasis specific gene expression signature that could differentiate between metastatic and nonmetastatic primary tumours from different sites. However, this study did not include samples from gastric cancer. It was thus decided to test whether this signature could be applied to primary gastric tumours, using the new MetriGenix® platform. Although the analysis seemed to indicate that the signature did not apply to gastric tumours, technical issues meant that the results were inconclusive. On the other hand, a larger microarray analysis using the techniques developed during this project allowed the indentification of a number of genes of interest which may playa role in the metastatic spread of gastric cancer.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available