Grant: Collaborative Health Research Projects
University of Waterloo
$78,137.00
Effective estimation of second cancer risks and resultant possible improvements of treatment protocols
FY 2013-14
Summary
It is estimated that 3.5% of the population are cancer survivors, a prevalence that has tripled in North Americasince 1971. For many patients cured of their initial cancer, their treatment can give rise to significant delayedmorbidity, and those originally diagnosed at young ages have a particularly high burden of late effectsincluding second cancers (SC), and cardiovascular disease (CVD). For example, recent research suggests thatchildhood cancer survivors in particular face significant late morbidity or mortality during adulthood, withexcess risks reducing life expectancy by as much as 28%. Much of the late toxicity is related to exposure toradiation therapy as part of initial treatment. The development of new therapeutic strategies that reducelong-term treatment related toxicity is a major theme in pediatric oncology.A major obstacle to the rational development of less toxic but effective new treatment strategies is that mostpublished estimates of the risks late toxicity are based on outdated therapy, and conceal large variation in risksamong individual patients. These limitations make it difficult to use these risk estimates to develop newtreatments intended to reduce the occurrence of late effects. Simply eliminating radiation therapy without anunderstanding of the magnitude of the potential benefit has resulted in poor outcomes and in some clinicaltrials led to unacceptably high relapse rates.The overall aim of this study is to utilize recent advances in image processing, radiation dosimetry andbiomathematical modeling to develop robust and flexible models of the treatment-related risks of SC and CVDfor children with Hodgkin Lymphoma. With collaborators in the Children's Oncology Group (COG), we willwork towards developing tools that will allow clinicians and clinical trialists to prospectively estimate thereduction in the risks of SC and CVD that would be expected with new changes in HL treatment. These modelscould be applied to individuals, to optimize the treatment for specific patients, or to groups, to aid the design ofclinical trials.
Program
Collaborative Health Research Projects
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
398142-2011
Name nom
Sivaloganathan, Sivabal
Department département
Applied Mathematics
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2011
Award amount
78137
Program id
CHRPJ
Program name en
Collaborative Health Research Projects
Program name fr
Projets de recherche concertée sur la santé
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
360
Committee name en
Collaborative Health Research Projects Selection Panel
Committee name fr
Comité de sélection de projets de recherche concertée sur la santé
Area of application code
1101
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
2952
Research subject group en
Applied mathematics
Research subject group fr
Mathématiques appliquées
Research subject en
Linear and non-linear systems
Research subject fr
Systèmes linéaires et non linéaires
Partie
3
Nb partie
3
Application title
Effective estimation of second cancer risks and resultant possible improvements of treatment protocols
Keyword
NSERC
Application summary
It is estimated that 3.5% of the population are cancer survivors, a prevalence that has tripled in North Americasince 1971. For many patients cured of their initial cancer, their treatment can give rise to significant delayedmorbidity, and those originally diagnosed at young ages have a particularly high burden of late effectsincluding second cancers (SC), and cardiovascular disease (CVD). For example, recent research suggests thatchildhood cancer survivors in particular face significant late morbidity or mortality during adulthood, withexcess risks reducing life expectancy by as much as 28%. Much of the late toxicity is related to exposure toradiation therapy as part of initial treatment. The development of new therapeutic strategies that reducelong-term treatment related toxicity is a major theme in pediatric oncology.A major obstacle to the rational development of less toxic but effective new treatment strategies is that mostpublished estimates of the risks late toxicity are based on outdated therapy, and conceal large variation in risksamong individual patients. These limitations make it difficult to use these risk estimates to develop newtreatments intended to reduce the occurrence of late effects. Simply eliminating radiation therapy without anunderstanding of the magnitude of the potential benefit has resulted in poor outcomes and in some clinicaltrials led to unacceptably high relapse rates.The overall aim of this study is to utilize recent advances in image processing, radiation dosimetry andbiomathematical modeling to develop robust and flexible models of the treatment-related risks of SC and CVDfor children with Hodgkin Lymphoma. With collaborators in the Children's Oncology Group (COG), we willwork towards developing tools that will allow clinicians and clinical trialists to prospectively estimate thereduction in the risks of SC and CVD that would be expected with new changes in HL treatment. These modelscould be applied to individuals, to optimize the treatment for specific patients, or to groups, to aid the design ofclinical trials.