Modeling pediatric glioma in human ES cells:mechanistic and therapeutic insights
Modeling pediatric glioma in human ES cells:mechanistic and therapeutic insights
批准号:
9317449
负责人:
VIVIANE TABAR
金额:
$39.24万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-18 至 2021-06-30
关键词:
ACVR1 geneAgeAge of OnsetAmino Acid SubstitutionBindingBiological ModelsBiologyBrain StemBrain Stem GliomaBrain Stem NeoplasmsBrain regionCancer ModelCell DeathCellsChildChildhood Brain NeoplasmChildhood GliomaChromatinCollaborationsComplexDataDevelopmentDiagnosisDiffuse intrinsic pontine gliomaDiseaseDisease modelDrug TargetingEndocrineEpigenetic ProcessEventFGFR1 geneGene MutationGeneticGenetic EngineeringGenetic VariationGliomaGoalsGrowthHistologicHistone H3HistonesHumanIn VitroLibrariesLocationLysineMEN1 geneMaintenanceMalignant NeoplasmsMeninMethionineModelingMolecularMultiple PartnersMutationNeoplasmsOncogenicPathway interactionsPatientsPatternPhenotypePolycombPreclinical Drug EvaluationProcessProteinsReceptor Protein-Tyrosine KinasesReportingRoleScientistSignal PathwaySomatic MutationStem cellsSyndromeTailTherapeuticTherapeutic StudiesTissuesTumor BiologyTumor Suppressor ProteinsTumor TissueVariantWorkbasebrain celldesigneffective therapyexperiencegain of functiongenome-wide analysisglioma cell linehuman embryonic stem cellin vivoinhibitor/antagonistinsightkinase inhibitorleukemianovelprotein protein interactionstem cell differentiationtooltreatment strategytumortumor growthtumor progression
中文摘要
摘要/项目概述
英文摘要
Abstract / Project Summary
DIPGs are rapidly lethal brain tumors of childhood. The majority of patients die within a
year or two of diagnosis, as there is no effective treatment for this devastating disease. Their
critical location in the brainstem has long prohibited access to tumor tissue. Recently,
sequencing studies revealed novel histone mutations consisting of single amino acid
substitutions in the tail of the histone H3 variants. A pattern of exclusive co-occurrence of
histone mutations with specific signaling pathway alterations as well as age of onset and brain
region alterations emerged. Taking advantage of these data and of the strict developmental
window of the tumors, our team has built what is effectively the first genetically-engineered
human ES cell-based model of a tumor. The model yielded tumors that recapitulated the
genetic, transcriptomal, epigenetic and histological features of the disease, thus providing
valuable tools for the study of the disease. Genome wide studies suggested that the histone
mutation led to a resetting of the developmental status of the cells to an earlier more primitive
stem cell state.
Importantly, our modeling system served as an effective platform for drug screens,
leading to the identification of a novel protein –protein interaction network as a key component
of the proliferative and growth machinery of these tumors, centered on the protein menin.
Menin is a unique protein with multiple partners; it is oncogenic in the context of the MLL
rearranged leukemias. Our data show that silencing menin or inhibiting its MLL interaction with a
menin inhibitor leads to a decrease in proliferation and increased cell death, a completely novel
finding never reported in glioma, that raises the promise of a therapeutic strategy.
The proposal aims to expand our hES modeling platform by building new models that
are representative of the genetic diversity of the somatic mutations described in brainstem
gliomas. We will also study the events downstream of the histone mutations, with emphasis on
the molecular basis of the oncogenic role of menin. The ultimate goal is to develop a therapeutic
strategy for DIPGs, taking advantage of newly synthesized menin inhibitors.
Our studies should also contribute to developing hES cells into a more widely applicable
platform for cancer modeling capitalizing on their many advantages, including access to an
unlimited supply of stage appropriate human cells for mechanistic or therapeutic studies, the
ability to study tumor biology from the step of initiation to tumor maintenance, and the ease of
implementing sophisticated genetic tools.
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