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Grant: Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships

University of British Columbia

$105,000.00

High-throughput RNA interference screening reveals epigenetic modifier dependencies in a synthetic model of human T-cell acute lymphoblastic leukemia

FY 2017-18

Summary
T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy of blood cells. T-ALL represents 15% of pediatric, and 25% of adult cases of acute lymphoblastic leukemia. Current therapy with high intensity combination chemotherapies achieve 5-year survival rates of approximately 90% and 50% for pediatric and adult T-ALL, respectively. However, these therapies have a broad specificity of cellular targets, and as such, are associated with life-long cytotoxic effects. The consequences of chemotherapy can be drastic, particularly in the pediatric setting, highlighting the importance for development of targeted therapies. In order to improve patient treatment outcome and to minimize the cytotoxic side-effects associated with chemotherapy, dedicated efforts are required to identify and validate candidate therapeutic targets. High-throughput methods are needed to enable screening large classes of genes for their therapeutic potential. Furthermore, reliable models that can faithfully recapitulate the disease state are required to accurately understand disease mechanisms. Recently, our lab developed the first ever model of human T-ALL derived from normal blood cells. This model provides us with an accurate representation of human disease, allowing us to understand the pathways that lead to pathogenesis. To identify novel therapeutic targets, we propose to use our model of human T-ALL to perform high-throughput screening methodologies that assess the importance of 300 epigenetic factors in disease maintenance. Importantly, our findings may provide an avenue for targeted therapy in T-ALL.
Program
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
383421
Name
Wong Alana R
Region
British Columbia
Country
Canada
Orgtype
Research Institution; Institution Paid
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Doctoral Research Awards - A
Projecttitle
High-throughput RNA interference screening reveals epigenetic modifier dependencies in a synthetic model of human T-cell acute lymphoblastic leukemia
Programtype2
Studentship Programs
Orgnameinp2
University of British Columbia
Cihramount2
$105,000
Cihrequipment2
$0
Programname2
Doctoral Award - Frederick Banting and Charles Best Canada Graduate Scholarships
Keyworddelim
Epigenetics; Leukaemia; Rna Interference Screen; Small Hairpin Rna; Targeted Therapy
Abstract
T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive malignancy of blood cells. T-ALL represents 15% of pediatric, and 25% of adult cases of acute lymphoblastic leukemia. Current therapy with high intensity combination chemotherapies achieve 5-year survival rates of approximately 90% and 50% for pediatric and adult T-ALL, respectively. However, these therapies have a broad specificity of cellular targets, and as such, are associated with life-long cytotoxic effects. The consequences of chemotherapy can be drastic, particularly in the pediatric setting, highlighting the importance for development of targeted therapies. In order to improve patient treatment outcome and to minimize the cytotoxic side-effects associated with chemotherapy, dedicated efforts are required to identify and validate candidate therapeutic targets. High-throughput methods are needed to enable screening large classes of genes for their therapeutic potential. Furthermore, reliable models that can faithfully recapitulate the disease state are required to accurately understand disease mechanisms. Recently, our lab developed the first ever model of human T-ALL derived from normal blood cells. This model provides us with an accurate representation of human disease, allowing us to understand the pathways that lead to pathogenesis. To identify novel therapeutic targets, we propose to use our model of human T-ALL to perform high-throughput screening methodologies that assess the importance of 300 epigenetic factors in disease maintenance. Importantly, our findings may provide an avenue for targeted therapy in T-ALL.
Competitiondate
201710
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Wong, Alana R
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $105,000~ $0~
University of British Columbia - $105,000 Grant (2017… | Canada Spends