grant

PROMINENT - UCSF

Organization UNIVERSITY OF CALIFORNIA, SAN FRANCISCOLocation SAN FRANCISCO, UNITED STATESPosted 22 Jun 2022Deadline 31 May 2026
NIHUS FederalResearch GrantFY2025AbscissionAddressAgingAlcohol DrinkingAlcohol consumptionArchitectureBioinformaticsBiologic ModelsBiologicalBiological ModelsBody TissuesBody Weight decreasedBreastCRISPRCRISPR editing screenCRISPR screenCRISPR-based screenCRISPR/Cas systemCRISPR/Cas9 screenCancer CauseCancer EtiologyCancer InductionCancer ModelCancerModelCancersCell BodyCellsClonal EvolutionClustered Regularly Interspaced Short Palindromic RepeatsCollectionColon or RectumColorectalCommunitiesCountryDNADNA mutationDataData SetDeoxyribonucleic AcidDevelopmentEndogenous FactorsEndometrialEngineering / ArchitectureEnvironmentEnvironmental FactorEnvironmental Risk FactorEpidemiologic ResearchEpidemiologic StudiesEpidemiological StudiesEpidemiologyEpidemiology ResearchEpigeneticEpigenetic ChangeEpigenetic MechanismEpigenetic ProcessEpithelial CellsEtOH drinkingEtOH useEventExcisionExposure toExtirpationGene ExpressionGenerationsGeneticGenetic ChangeGenetic defectGenetic mutationGenomicsGoalsHigh-Risk CancerHumanImmune infiltratesIndividualInflammationInterventionIntervention StudiesInvestigationInvestigatorsLife StyleLifestyleLimited StageLinkLung ParenchymaLung TissueMachine LearningMalignantMalignant - descriptorMalignant NeoplasmsMalignant TumorMapsMeasuresMethodsMiceMice MammalsModel SystemModelingModern ManMolecularMolecular TargetMurineMusMutateMutationNeoplasmsNetwork AnalysisNormal CellNormal TissueNormal tissue morphologyObesityOncogenesisOrganoidsPathway AnalysisPathway interactionsPatternPhenotypePopulationPrevalenceProcessProgenitor CellsProteomeProteomicsRemovalResearch PersonnelResearchersRiskRisk FactorsRoleRouteSamplingStructure of parenchyma of lungSurgical RemovalT-StageTestingTimeTissue DonorsTissue SampleTissue imagingTissuesTumor PromotersTumor PromotionTumor TissueTumor stageUnhealthy DietWeight LossWeight Reductionadiposityalcohol ingestionalcohol intakealcohol product usealcohol usealcoholic beverage consumptionalcoholic drink intakeanti-cancer researchbiologicbody weight losscancer preventioncancer researchcancer riskcarcinogenesiscease smokingcellular targetingchemical propertychemotherapyclustered regularly interspaced short palindromic repeats screencolorectumcorpulencedata integrationdetection methoddetection proceduredetection techniquedevelopmentaldriver lesiondriver mutationentire genomeenvironmental agentenvironmental riskepidemiologicepidemiologic investigationepidemiologicalepidemiology studyepigeneticallyepigenomicsethanol consumptionethanol drinkingethanol ingestionethanol intakeethanol product useethanol useexperiencefull genomegenome mutationgenome scalegenome-widegenomewidehematopoietic tissuehuman tissueimmune cell infiltratein vivo Modelinhibitorinnovateinnovationinnovativeintervention researchinterventional researchinterventional studyinterventions researchlife-style factorlifestyle factorsmachine based learningmalignancymouse modelmultidisciplinarymurine modelneoplasianeoplasm/cancerneoplasticneoplastic growthnovelpathwaypoor dietpromoterpromotorquit smokingresectionresponsesmall moleculesmoking cessationsocial rolestemstem cellsstop smokingtooltranscriptomicstumortumorigenesiswhole genomewt-loss
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Full Description

The cancer research community is on the verge of a major leap in our understanding of the factors that contribute to human cancer risk. While it is clear that mutations in DNA, either spontaneous or environmentally induced, are essential for cancer development, recent advances have highlighted the importance of non-mutagenic factors as rate-limiting determinants of cancer risk in human populations and in mouse cancer models.
The root causes of human cancer have been widely debated, but most of the emphasis has been on the origins of the “driver” mutations that are ubiquitous in human tumours. Although epidemiology studies have highlighted the possible roles of lifestyle factors such as obesity, alcohol consumption, inflammation and poor diet in cancer risk, it has generally been assumed that these factors act directly or indirectly to cause mutations in DNA, thus contributing to tumour mutational burden and resulting in increased cancer risk. In contrast, recent sequencing studies have uncovered abundant mutations in normal human tissues, suggesting that even strong cancer driver mutations are not sufficient for cancer formation. These results were presaged by studies of mouse tumour models, some carried out more than 50 years ago, showing that promotion is the rate-limiting step in tumour development.

To identify the mechanisms that control mutated normal cells, and to elucidate the precise mechanisms by which promoting factors stimulate the conversion of these cells to neoplastic growth, we have assembled a multidisciplinary team of investigators with wide-ranging experience in epidemiology, genetics, computational network analysis and machine learning, tissue imaging of gene expression, single cell transcriptomics, and genome-wide CRISPR functional screens. We will focus human analysis on a unique collection of several thousand human normal and matched tumour samples from >20 countries, including regions of both high and low cancer risk. Detailed risk factor information and whole genome sequence data is available from all these samples as part of the Grand Challenge Mutographs study. Analysis of these samples, together with detailed intervention studies in human populations, mouse models and human organoids, will allow us to develop a roadmap of tumour promotion from single normal cells carrying driver mutations, through to malignant progression. Our findings will facilitate identification of the causative environmental factors that promote cancer and provide routes to new methods and approaches to cancer prevention based on a deeper understanding of the process of initiated cell selection by tumour promoting agents.

Grant Number: 3OT2CA278665-01S3
NIH Institute/Center: NIH

Principal Investigator: ALLAN BALMAIN

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