Identification of regulators of metastasis
Dr Sarah Lake
Prof. Sarah Coupland
Prof. Bertil Damato
Collaborators:
Dr Azzam Taktak
Prof. Neil Hall
Summary
In collaboration with Prof. Neil Hall (Head of Centre for Genomic Research) and Dr Azzam Taktak (Statistician), high-resolution microarray and SOLiD sequencing (Life Technologies) will be used to examine the genetic alterations in primary uveal melanoma (UM) tissue from patients with known survival outcome. Using a systems biology approach, candidate metastasis regulatory genes will be identified and the functional significance of the genetic alterations in the primary tumour investigated using in vitro cellular models. The aims of the project are to: 1) enhance patient prognostication; 2) more fully understand the biology of metastasis; and 3) identify potential therapeutic targets.
This work is complementary to two other studies, “Molecular characteristics of metastatic liver lesions in uveal melanoma: the search for therapeutic targets” and “Comparative digital transcriptional profiling of canine and human uveal melanomas”. The combined genomic and gene expression data from these projects will be utilised to better understand the molecular processes driving UM development and metastasis.
Prof. Sarah Coupland
Prof. Bertil Damato
Collaborators:
Dr Azzam Taktak
Prof. Neil Hall
Summary
In collaboration with Prof. Neil Hall (Head of Centre for Genomic Research) and Dr Azzam Taktak (Statistician), high-resolution microarray and SOLiD sequencing (Life Technologies) will be used to examine the genetic alterations in primary uveal melanoma (UM) tissue from patients with known survival outcome. Using a systems biology approach, candidate metastasis regulatory genes will be identified and the functional significance of the genetic alterations in the primary tumour investigated using in vitro cellular models. The aims of the project are to: 1) enhance patient prognostication; 2) more fully understand the biology of metastasis; and 3) identify potential therapeutic targets.
This work is complementary to two other studies, “Molecular characteristics of metastatic liver lesions in uveal melanoma: the search for therapeutic targets” and “Comparative digital transcriptional profiling of canine and human uveal melanomas”. The combined genomic and gene expression data from these projects will be utilised to better understand the molecular processes driving UM development and metastasis.
Supported by:
