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Grant: Doctoral: Vanier Canada Graduate Scholarships

University of British Columbia

$150,000.00

Networks, signatures, and personalized medicine: a whole genome approach to cancer therapy

EF 2014-15

Résumé
How does one personalize cancer treatment? The secret is in the genes. DNA dictates the behaviour of every cell in our bodies. Comparing cancer cells with healthy ones, we find out what makes tumours tick: that is, what drives their biological clocks and makes their cells divide uncontrollably. It starts with the genome, a full DNA sequence. At the BC Cancer Agency, teams are sequencing a growing number of participants, giving them hope for a cure. The goal? Identify targeted drugs which kill cancer cells and spare healthy ones. The promise? Better treatment with fewer side effects. How does one choose the right drug? One approach is to study gene networks. When DNA is altered, a delicate balance is swayed. A cell's finely tuned machinery may malfunction, throwing interacting genes into disarray. Computer programs which make sense of gene networks may expedite the discovery of targeted therapies. Another approach is to find mutation signatures, characteristic patterns of DNA changes. Many things create distinct mutation signatures: aging, cigarette smoke, UV light, even other DNA changes. Biologists have found ways to decipher signatures. Now to put them to use: if a signature can trace a tumor's origins, it may help doctors choose the best treatment. My job is to study networks and signatures to test their helpfulness in guiding therapy. The challenge is to connect discoveries to treatment options. My goals are to (1) start by connecting specific networks and signatures to targeted therapies and (2) find ways to apply this approach to as many cancers as possible. Every person is different. Every cancer is personal. Indiscriminate treatments limit our capacity to treat and cure. They cause painful toxicity and decrease quality of life. Now, we are learning how to cater treatments to the individual. There are already powerful approaches for understanding the inner workings of a cell. Extending this to personalized medicine is the next step to better treatment.
Programme
Doctoral: Vanier Canada Graduate Scholarships
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
318292
Name
Zhao Eric Y
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Vanier Canada Graduate Scholarships CIHR
Projecttitle
Networks, signatures, and personalized medicine: a whole genome approach to cancer therapy
Programtype2
Studentship Programs
Orgnameinp2
University of British Columbia
Cihramount2
$150,000
Cihrequipment2
$0
Programname2
Doctoral: Vanier Canada Graduate Scholarships
Keyworddelim
Bioinformatics; Cancer; Genomics; Mutation Signatures; Pathway Analysis; Personalized Medicine
Abstract
How does one personalize cancer treatment? The secret is in the genes. DNA dictates the behaviour of every cell in our bodies. Comparing cancer cells with healthy ones, we find out what makes tumours tick: that is, what drives their biological clocks and makes their cells divide uncontrollably. It starts with the genome, a full DNA sequence. At the BC Cancer Agency, teams are sequencing a growing number of participants, giving them hope for a cure. The goal? Identify targeted drugs which kill cancer cells and spare healthy ones. The promise? Better treatment with fewer side effects. How does one choose the right drug? One approach is to study gene networks. When DNA is altered, a delicate balance is swayed. A cell's finely tuned machinery may malfunction, throwing interacting genes into disarray. Computer programs which make sense of gene networks may expedite the discovery of targeted therapies. Another approach is to find mutation signatures, characteristic patterns of DNA changes. Many things create distinct mutation signatures: aging, cigarette smoke, UV light, even other DNA changes. Biologists have found ways to decipher signatures. Now to put them to use: if a signature can trace a tumor's origins, it may help doctors choose the best treatment. My job is to study networks and signatures to test their helpfulness in guiding therapy. The challenge is to connect discoveries to treatment options. My goals are to (1) start by connecting specific networks and signatures to targeted therapies and (2) find ways to apply this approach to as many cancers as possible. Every person is different. Every cancer is personal. Indiscriminate treatments limit our capacity to treat and cure. They cause painful toxicity and decrease quality of life. Now, we are learning how to cater treatments to the individual. There are already powerful approaches for understanding the inner workings of a cell. Extending this to personalized medicine is the next step to better treatment.
Competitiondate
201411
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Zhao, Eric Y
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $150,000~ $0~