Research Center for Cancer Systems Biology: Cancer Cell Map Initiative
Project Number5U54CA209891-05
Contact PI/Project LeaderKROGAN, NEVAN J Other PIs
Awardee OrganizationUNIVERSITY OF CALIFORNIA, SAN FRANCISCO
Description
Abstract Text
THE CANCER CELL MAP INITIATIVE:
A NATIONAL RESEARCH CENTER FOR CANCER SYSTEMS BIOLOGY
OVERALL SUMMARY
The Cancer Genome Atlas and sister projects have now completed analysis of over 10,000 tumor genomes,
providing a catalog of the gene mutations, copy number variants and other genetic alterations that cause
cancer. In many cases it remains unclear, however, which are the key driver mutations or dependencies in a
given cancer and how these influence pathogenesis and response to therapy. Although tumors of similar types
and clinical outcomes can have patterns of mutations that are strikingly different, it is becoming apparent that
these mutations recurrently hijack the same hallmark molecular pathways and networks. For this reason,
cancer research and treatment is increasingly dependent on knowledge of biological networks of multiple
types, including physical interactions among proteins and syntheticlethal and epistatic interactions among
genes. Here we seek support for a new effort, The Cancer Cell Map Initiative (CCMI), aimed at
comprehensively detailing these complex interactions among cancer genes and proteins and how they differ
between diseased and healthy states. The CCMI is a multicampus initiative of the University of California,
centered at UC San Francisco and UC San Diego, which leverages advanced network mapping, computational
analysis and cancer research platforms developed by multiple CCMI investigators over the past decade. Thus
primed, these platforms will be turned to efficiently generate, assemble and analyze cancer molecular networks
with a view towards pathway and networkbased personalized therapy. Specifically, over the next five years
the CCMI will seek to catalyze major phase transitions in cancer research and therapy by (1) Comprehensively
mapping the networks of physical interactions among cancer proteins, revealing the protein complexes and
higherorder molecular units under selection in cancer; (2) Mapping the parallel networks of syntheticlethal
and epistatic interactions among cancer genes, revealing the functional logic of cancer; (3) Establishing the
robust computational methodology, enduser software, and databases for assembly and use of cancer cell
network maps in both basic and clinical modalities; (4) Building a critical mass of leading cancer investigators
worldwide to expand CCMI into a global coordinated partnership; and (5) Training the current and
nextgeneration of scientists in Network Biology and its applications to cancer research.
Public Health Relevance Statement
THE CANCER CELL MAP INITIATIVE:
A NATIONAL RESEARCH CENTER FOR CANCER SYSTEMS BIOLOGY
OVERALL NARRATIVE
Although much attention has been devoted to mapping the tumor genome, understanding cancer involves
more than cataloguing its component genes. It is critical to understand the many interactions between these
genes and the corresponding proteins, and how these complex networks gives rise to tumor initiation,
progression and metastasis. The Cancer Cell Map Initiative will apply systematic approaches to
comprehensively map the molecular networks that underlie cancer and will use these maps as a key resource
for precision medicine.
NIH Spending Category
No NIH Spending Category available.
Project Terms
ArtsAttentionAutomobile DrivingBindingBiologicalBiological ProcessBiologyCaliforniaCancer EtiologyCatalogingCatalogsCell LineClinicalComplexComputer AnalysisComputer softwareComputing MethodologiesCopy Number PolymorphismDatabasesDependenceDiseaseFutureGene MutationGene ProteinsGenesGoalsHead and Neck Squamous Cell CarcinomaKnowledgeLaboratoriesLogicMalignant NeoplasmsMapsMissionModalityModelingMolecularMutationNCI Center for Cancer ResearchNeoplasm MetastasisNetwork-basedOncogenesOther GeneticsOutcomePathogenesisPathway interactionsPatternPharmaceutical PreparationsPhase TransitionPrincipal InvestigatorProteinsRecurrenceResearch PersonnelResourcesSan FranciscoScienceScientistSisterSystemSystems BiologyTechnologyThe Cancer Genome AtlasTherapeutic InterventionTrainingUniversitiesanticancer researchcancer cellcancer genomecancer therapydriver mutationmalignant breast neoplasmmolecular modelingnext generationpatient derived xenograft modelpersonalized medicineprecision medicineprotein complexresponsetumortumor initiation
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