Grant: Operating Grant
McGill University
$797,054.00
Modelling Translation Inhibition as Cancer Therapy
FY 2009-10
Summary
Recent large scale analyses of mutations in human cancers have revealed that cancer cells exhibit on average approximately 60 to 90 mutations per tumor, with most of these occurring in genes implicated in a limited set of key regulatory celullar pathways. These results indicate that strategies targeting genetic mutations in human cancers are not probably not the way to develop broad acting chemotherapeutic compounds. However, because most of the mutations in human tumors occur in genes that reside in a small number of cellular processes, a better strategy is to develop drugs that inhibit cellular processes that occur downstream of the cancer causing lesions. We know that one such pathway is the regulation of protein synthesis (called translation), a process that is deregulated in many human cancers and which supports the higher growth rate of tumor cells. This therefore provides a therapeutic opportunity in which we can attempt to specifically turn down the rate of protein synthesis in transformed cells and hence interfere with tumor growth.
In the current proposal, we propose to experimentally test this hypothesis by generating mouse cancer models in which we can specifically and reversibly interfere with the process of protein synthesis. These new cancer mouse models will allow us not only to assess the consequences of interfering with translation at the cellular level, but also in the tumor as the cancer cells divide in the mouse. Specifically, we will use a lymphoma cancer model were we can easily monitor if we cause tumor regression or growth inhibition. This proposal takes advantage of novel technology developed to shut down any gene desired in the mouse in an inducible and reversible manner. We expect that our experiments will identify a key vulnerability in cancer cells that will inform us as to the direction to proceed in developing novel molecular-targetted chemotherapeutics
Department
Program
Operating Grant
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
198362
Name
Pelletier Jerry M
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Cancer Progression & Therapeutics 2
Projecttitle
Modelling Translation Inhibition as Cancer Therapy
Programtype2
Operating Grants
Orgnameinp2
McGill University
Cihramount2
$797,054
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Cancer Therapy; Eif4a; Eif4e; Mouse Models; Mtor Signalling; Rapamycin; Rnai Inhibition; Translation Initiation
Abstract
Recent large scale analyses of mutations in human cancers have revealed that cancer cells exhibit on average approximately 60 to 90 mutations per tumor, with most of these occurring in genes implicated in a limited set of key regulatory celullar pathways. These results indicate that strategies targeting genetic mutations in human cancers are not probably not the way to develop broad acting chemotherapeutic compounds. However, because most of the mutations in human tumors occur in genes that reside in a small number of cellular processes, a better strategy is to develop drugs that inhibit cellular processes that occur downstream of the cancer causing lesions. We know that one such pathway is the regulation of protein synthesis (called translation), a process that is deregulated in many human cancers and which supports the higher growth rate of tumor cells. This therefore provides a therapeutic opportunity in which we can attempt to specifically turn down the rate of protein synthesis in transformed cells and hence interfere with tumor growth.
In the current proposal, we propose to experimentally test this hypothesis by generating mouse cancer models in which we can specifically and reversibly interfere with the process of protein synthesis. These new cancer mouse models will allow us not only to assess the consequences of interfering with translation at the cellular level, but also in the tumor as the cancer cells divide in the mouse. Specifically, we will use a lymphoma cancer model were we can easily monitor if we cause tumor regression or growth inhibition. This proposal takes advantage of novel technology developed to shut down any gene desired in the mouse in an inducible and reversible manner. We expect that our experiments will identify a key vulnerability in cancer cells that will inform us as to the direction to proceed in developing novel molecular-targetted chemotherapeutics
Competitiondate
201003
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Pelletier, Jerry M
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $797,054~ $0~