Achievements and Next Steps to Tackle Cancer Grand Challenges An update for Faculty of Medicine Retreat December 2017 Cancer Research Continuum Basic research is the foundation on which the cancer research continuum is built ID: 933455
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Slide1
McGill Integrated Cancer Program Institute for Applied Cancer Science
Achievements and Next Steps to Tackle Cancer Grand Challenges
An update for
Faculty of Medicine Retreat
December 2017
Slide2Cancer Research Continuum
Basic research is the foundation on which the cancer research continuum is built.
Slide3Cancer Research Continuum
Basic research is the foundation on which the cancer research continuum is built.WHY DO PATIENTS FAIL TO RESPOND TO THERAPIES? NEW KNOWLEDGE = NEW THERAPEUTIC STRATEGIESGenomic and other omic based technologies
Slide4Precision Oncology
97% had at least minor tumor shrinkagePercent change from baseline 40200-20-40-60-80-100
Use of molecular-based profiling of individual patient’s tumor:
Optimize patient-treatment matching
Avoid predictably ineffective, toxic and costly treatments
Improve overall clinical outcomes
Cancer diagnosis and treatment are changing
Slide5Precision Oncology
97% had at least minor tumor shrinkagePercent change from baseline 40200-20-40-60-80-100
Use of molecular-based profiling of individual patient’s tumor:
Optimize patient-treatment matching
Avoid predictably ineffective, toxic and costly treatments
Improve overall clinical outcomes
Cancer diagnosis and treatment are changing
m
olecular
pathology
Slide6Precision Oncology
97% had at least minor tumor shrinkagePercent change from baseline 40200-20-40-60-80-100
Use of molecular-based profiling of individual patient’s tumor:
Optimize patient-treatment matching
Avoid predictably ineffective, toxic and costly treatments
Improve overall clinical outcomes
Cancer diagnosis and treatment are changing
m
olecular
pathology
Slide7Precision Oncology
97% had at least minor tumor shrinkagePercent change from baseline 40200-20-40-60-80-100
Use of molecular-based profiling of individual patient’s tumor:
Optimize patient-treatment matching
Avoid predictably ineffective, toxic and costly treatments
Improve overall clinical outcomes
Cancer diagnosis and treatment are changing
Is McGill well positioned to
maximise
opportunities?
Driven by and is a driver for cancer research and innovation
Slide8The Challenge – Increased Collaboration across McGillMcGill: World-class cancer researchers; however….Relatively small teamsGeographically and administratively dispersedResources are fragmented and not centrally plannedNo McGill wide brand, identity or shared visionLack unification or integration of research efforts -clinical-basic-translationalA history of competition between units rather than collaboration
Bridging SilosInterdisciplinarityBiologistClinicianBioinformaticsEngineerStatisticianEpidemiologySystems Biology
Slide9The challenge- Funding climate is changing
Problem: Increased application pressureReduced success rates from traditional funding sources (ie. CIHR, CCS, CRS) Enhanced: Multidisciplinary large scale team grants with established track recordsRequires a fundamental shift in the way we conduct cancer research
Slide1010Models
ofCancersMolecular Profiling&PersonalizedTreatmentBiospecimen CancerBiobank&Data RepositoryClinical
Trials
• Discover New Targets
Validate Targets
• Develop Therapies
Understand Biology
Efficacy of
Precision Medicine
IMPROVE OUTCOMES
FOR HARD-TO-TREAT
CANCERS
Hard-to-Treat Cancers
Program Overview
Integrated Research Approach- Cancer Grand Challenge
unmet clinical need
Slide1111
11
Basic and Translational Research
Interdisciplinary Research
Non
FoM
Genomics/omics
Big Data Sharing
Platform Integration
Partnerships with Industry
for Target Validation and Drug Development
Knowledge Translation and Patient Impact
>8,500
Surgical Clinical and Radiological Practice
Tissue and Data Banks
Cancer
patient
population
Current Challenge –
the old model
Slide1212
Basic and Translational Research
Interdisciplinary Research
Non
FoM
Genomics/omics
Big Data Sharing
Platform Integration
Partnerships with Industry
for Target Validation and Drug Development
Knowledge Translation and Patient Impact
>8,500
Surgical Clinical and Radiological Practice
Tissue and Data Banks
Cancer
patient
population
Cancer Grand Challenge Research Approach
unmet clinical need
Slide13Goals To leverage the power of fundamental, translational and clinical research for the detection, prevention, long-term management and cure of cancers.Integrated Approach
build close integration of clinical practice with researchharmonize data warehouse-outcomes-across sitesincrease and harness clinical trials for discoverytargeted tissue and liquid biopsy repositories for discovery and validation develop multidisciplinary and interdisciplinary teams apply integrated systems approaches to understanding of disease - patient centric harness the power of multi-omic big data exploit clinical data through AI innovations-radiomics Cancer Integrated Network - Grand Challenge Research
Slide14What would a Grand Challenge Approach AccomplishImproved Non Invasive ApproachesImagingLiquid BiopsiesBiomarkersNovel Point of Care DevicesLife Style ChoicesGenetic PredispositionHost immune prevention
Point of care devicesPrecision OncologyNew therapiesSmall molecule inhibitorsAntibody-based therapiesImmune therapiesMetabolic therapiesEpigenetic therapiesImproved DetectionNovel TherapiesTumor/stroma dependenciesMetastatic nicheTumor evolution
Slide15Who would be partners at McGill?McGill Initiative in Computational MedicineBioX McGill InterdisciplinaryInitiative in Infection and Immunity (MI4) McGill Stem Cell and Regenerative Medicine NanotechnologyInnovative devicesDisruptive technologiesDisruptive biologicals
InflammationImmune modulationMicrobiomeCancer stem cellsResistanceTechnologies (IPS)
Slide16Improve Outcomes to Cancer Therapies
CANCER CHALLENGESHigh Burden CancersHigh Fatality CancersReal World EvidenceResistance to treatment and metastases PRIORITIZED THEMESNew Cancer TreatmentsNovel Cancer VulnerabilitiesMetabolic dependencies of cancersTumour
immune evasion
Synthetic lethality
New Tumor Targets
Drug repurposing
New drugs
Annotated
Tumour
Tissue Banks
Cutting Edge Technologies
-Live
Tumour
Tissue Core (PDX)
-Omics Core Facilities
-Immune Phenotyping Core
-Synthetic lethality Core
Cancer Genomics-Bioinformatics
IMPLEMENTATION STRATEGIES
Expertise-New Recruitment
Cancer Genomics-Bioinformatics
Technology Development
Forge New Partnerships
(clinicians, engineers)
Develop New Funding Opportunities
STATE OF THE ART HOSPITALS
Slide17Foster interdisciplinary multidisciplinary and interinstitutional research:
Training programs: enhance existing MICRTP partner with existing departments and programs to develop co-training models to serve as nodesSeed grants: small one-time funding opportunities to bring together new teams to tackle priority areasShared platforms and harmonization: personnel support, resource sharing and strategic planning to maximize platform usefulness and lifespanSecure large scale funding: early identification, project management and identification of co-funding for large scale initiatives (MESI, NCE, MESI, Terry Fox)What would an Integrated Cancer Network accomplish?
Slide18Training the Next Generation
Recruit the Best and Brightest in all Disciplines
Cutting-Edge
Technologies
World-Class Mentorship
Nationally and Internationally
recognized clinicians and researchers
Ground-Breaking
Interdisciplinary Research
Training
Generation
next
the
Cancer training stream
Projects at the forefront of basic
and clinically applicable cancer research
Training
through integrated core
platforms
Slide19Funding Opportunities – Ongoing Terry Fox Comprehensive Cancer Centre Network (PMH, BCCA) - Montreal Cancer Consortium (JGH, MUHC, CHUM, HMR, GCRC, IRIC) - harnessing Melanoma Network immunotherapy clinical trials - $4M/2yr Pilot ProjectTerry Fox Research Institute National Networks -
Oncopole EMC2 – Multi-institutional teams against cancer - At least 3 institutions/research centres/departments, 2 Universities - LOI: Nov. 2017 - 1.5M/3yrs – Expect to fund 4 grants-opportunities to integrate McGillMinistère de l’Economie, Science et Innovation (MESI) (LOI Dec 2017) - MCC (MUHC, CHUM, JGH, HMR, GCRC, IRIC, LDI) $20M/4 yrs high burden and high fatality increase clinical trial recruitment - Using AI to Build Radiogenomics-Based Predictors for Response to Precision Therapies in Cancer (MUHC, JGH, CHUM)
EPIC
(Pancreatic)
(PYA)
Multiple Myeloma
Slide20Fundraising – Need Partnership Approach
McGill University – Capital Campaign
funds raised can support Units at McGill
that are contributing to a
Cancer Grand
Challenge
– facilities for generation of
data from clinical material
Hospital Foundations
funds raised can support clinical
trials and tissue banking
efforts – focused on a
Cancer Grand Challenge
Motivated Donors
- want to contribute to large
research initiatives that
include partnerships
between McGill and
affiliated Hospitals
Other opportunities?
MESI, Terry Fox, NCE, SPOR
Requires a strategy to highlight that funds are being raised jointly to tackle large scale projects that span the fundamental/clinical/translational continuum of cancer research
Slide21Ongoing work and Next StepsCancer Summit
Spring 2018Strategic plan developmentEstablish working groups from all pillars Develop a governance planDefine science, priority programs and visionDetermine our needs and draft a budgetIdentify the role for donor support in a comprehensive funding planEstablish next stepsBuild our research teams and programs Generate performance metrics and comparator dataDevelop provincial, national and international partnerships
Slide22Questions