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Molecular Biomarkers
Future model for disease management: how do we fit in?

Groups’ aims and objectives
- To build a genotype matrix that will be integrated into the molecular-epidemiological assessment model for predicting new lung cancer cases.
- To identify and validate molecular assays for the early detection of preclinical lung cancer in body fluids such as sputum and plasma. The same markers could be used for therapy monitoring.
- To study functional significance of abnormal genetic/epigenetic processes in lung cancer which will assist in marker prioritisation.

The group’s early marker programme focuses in identifying markers of malignancy rather than markers of genomic damage reflecting chronic exposure to tobacco or other carcinogens. We aim to provide a set of markers that will assist clinical diagnosis at the early conversion state. This will allow for more effective treatment of lung cancer patients and at the same time prevents overdiagnosis that not only would cause unnecessary distress to the individual but also has a detrimental effect for public health economics.
Group Members:
Name |
Position |
Project |
Dr. George Xinarianos |
Postdoctoral Fellow |
Genotyping &Lung Carcinogenesis Modelling
|
Dr Teresa Knapp |
P/T Postdoctoral Fellow |
CDKN1A transcription regulation in lung cancer |
Dr Sue Warrack |
Research Associate |
Matrix and adhesion genes as NSCLC antigens |
Ms Naomi Bowers |
Research Assistant |
Genotyping & CDKN1A transcription regulation |
Ms Rumana Zaman |
Research Technician |
EU- Genomic Instability Project |
Dr Huifeng MD |
Postgraduate Student |
Genotyping |
Mr Alexandros Daskalos |
Erasmus student |
Gastrin regulation in human lung cancer |
Research Projects
| Funding |
Title |
|
Roy Castle Foundation |
Liverpool
Lung
Project |
Genetic predisposition to lung cancer |
| Early lung cancer markers I: Genomic Instability |
| Early lung cancer markers II: DNA methylation |
|
EU – Framework V |
Early lung cancer markers (WP4) |
|
UK Dept of Trade & Industry |
Lung Carcinogenesis Models |
Diagrammatic representation of the group’s project organisation

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