grant

MYC-regulated RNA Binding Protein Networks and Spliced Isoforms Driving Cancer

Organization JACKSON LABORATORYLocation BAR HARBOR, UNITED STATESPosted 10 Feb 2021Deadline 31 Jan 2027
NIHUS FederalResearch GrantFY20253-D3-Dimensional3DAbscissionAddressAlternate SplicingAlternative RNA SplicingAlternative SplicingApoptosisApoptosis PathwayAssayAutomobile DrivingAvian Myelocytomatosis Viral Oncogene HomologBasal Transcription FactorBasal transcription factor genesBindingBinding SitesBioassayBiological AssayBody TissuesBreastBreast CancerBreast Cancer CellBreast Cancer ModelBreast Cancer cell lineBreast Epithelial CellsBreast NeoplasmsBreast TumorsBreast tumor cell lineBreast tumor modelCRISPRCRISPR/Cas systemCancer BiologyCancer Cell GrowthCancer PatientCancer StagingCancersCell BodyCell Communication and SignalingCell Growth in NumberCell LineCell MultiplicationCell ProliferationCell SignalingCell modelCellLineCellsCellular ExpansionCellular GrowthCellular ProliferationCellular modelClinicalClinical MarkersClustered Regularly Interspaced Short Palindromic RepeatsCombining SiteDNADataData SetDeoxyribonucleic AcidDevelopmentDiagnostic Neoplasm StagingDistant CancerDistant MetastasisDropoutExcisionExonsExtirpationFDA approvedFailureGene Action RegulationGene Expression RegulationGene RegulationGene Regulation ProcessGene TranscriptionGeneral Transcription Factor GeneGeneral Transcription FactorsGeneralized GrowthGenesGenetic TranscriptionGenomic approachGoalsGrowthH-rasH-ras GeneH-ras OncogeneHRASHRAS geneHRAS1Harvey Rat Sarcoma Viral Oncogene HomologHumanImageIn VitroIndividualIntracellular Communication and SignalingInvadedIsoformsKnowledgeMYC Transcription FactorMYC geneMaintenanceMalignant Breast NeoplasmMalignant CellMalignant NeoplasmsMalignant TumorMammary CancerMammary NeoplasmsMetastasisMetastasizeMetastatic LesionMetastatic MassMetastatic NeoplasmMetastatic TumorMethodsModern ManMolecularMolecular InteractionNeoplasm MetastasisNeoplasm StagingNon-Polyadenylated RNAOncogene ProductsOncogene ProteinsOncogenesisOncogenicOncoproteinsOrganoidsOutcomePathogenesisPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPrimary NeoplasmPrimary TumorProcessProgrammed Cell DeathProtein IsoformsProteinsProteomicsProto-Oncogene Products c-mycProto-Oncogene Proteins c-mycRAS genesRASH1RNARNA ExpressionRNA Gene ProductsRNA SeqRNA SplicingRNA sequencingRNA-Binding ProteinsRNAseqReactive SiteRegulationRemovalResearchResistanceRibonucleic AcidSecondary NeoplasmSecondary TumorSignal TransductionSignal Transduction SystemsSignalingSplicingStrains Cell LinesSurgical RemovalTCGATM-MKRTNBCTestingThe Cancer Genome AtlasTherapeutic StudiesTherapy ResearchTimeTissue GrowthTissuesTranscriptTranscriptionTranscription Factor Proto-OncogeneTranscription factor genesTumor MarkersTumor PromotionTumor StagingTumor Suppressor Proteinsbiological signal transductionbreast tumor cellc-myc Proteinscancer cellcancer metastasiscell growthchemical standardclinical biomarkersclinical diagnosisclinical relevanceclinically relevantclinically useful biomarkerscultured cell linedevelopmentaldrivingfunctional genomicsgenomic effortgenomic strategyimagingin vivoinhibitorinsightknock-downknockdownmalignancymalignant breast tumormammarymammary cancer modelmammary epithelial cellsmammary gland epithelial cellsmammary tumormammary tumor modelmigrationmyc Oncogenesmyc Proto-Oncogene Product p62myc Proto-Oncogene Proteinsneo-antigenneo-epitopesneoantigensneoepitopesneoplasm/cancernew approachesnew markernew therapeutic approachnew therapeutic interventionnew therapeutic strategiesnew therapy approachesnew treatment approachnew treatment strategynovelnovel approachesnovel biomarkernovel markernovel strategiesnovel strategynovel therapeutic approachnovel therapeutic interventionnovel therapeutic strategiesnovel therapy approachontogenyoverexpressoverexpressionpatient oriented outcomespatient prognosispredictive signaturepredictive toolspublic data basepublic databasepublicly accessible data basepublicly accessible databasepublicly available data basepublicly available databaseresectionresistanttargeted drug therapytargeted drug treatmentstargeted therapeutictargeted therapeutic agentstargeted therapytargeted treatmenttherapeutic agent developmenttherapeutic developmenttherapeutic targetthree dimensionaltooltranscription factortranscriptome sequencingtranscriptomic sequencingtriple-negative breast cancertriple-negative invasive breast carcinomatumortumor biomarkertumor cell metastasistumor growthtumor specific biomarkertumor suppressortumorigenesistumorigenicv-Ha-RAS Harvey Rat Sarcoma Viral Oncogene Homolog
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Full Description

SUMMARY
Alternative RNA splicing is a key step in gene expression regulation and contributes to transcriptional diversity

by selecting which transcript isoforms are produced in a specific cell at a specific time point. Aberrantly spliced

isoforms can impact every one of the hallmarks of cancer, including increased cell proliferation, migration, or

resistance to apoptosis. Regulatory splicing factors (SFs) have recently emerged as a new class of oncoproteins

and tumor suppressors. In particular, the tumorigenic capacity of the oncogenic transcription factor MYC, which

is dysregulated in >50% of human tumors, has been shown to be dependent on the splicing machinery and on

at least 3 SFs directly regulated by MYC. However, we currently do not have a comprehensive understanding of

which component(s) of the splicing machinery are regulated by MYC, or of the functions of MYC-induced spliced

isoforms. The goal of this proposal is to systematically characterize the mechanisms by which MYC-regulated

SFs and spliced isoforms drive tumor growth and maintenance. To begin to address this gap in knowledge, in

our preliminary studies we used a mammary cell line harboring an inducible form of MYC to greatly expand the

number of known SFs regulated by MYC. We uncovered that MYC activation promotes alternative splicing of

>4,000 isoforms and expression of 125 SFs. These SFs are also upregulated in MYC-active breast tumors and

can be grouped, based on co-expression, into groups or modules. Six SF-modules highly correlate with MYC

activity in breast tumors and cell lines, and are enriched in triple negative breast cancer (TNBC). Which of these

SFs play a role in MYC-driven transformation, and whether co-expression of multiple MYC-induced SFs has a

stronger tumorigenic effect than individual SFs, is not known. Further, co-expression analysis in 33 TCGA tumors

of different tissue origin identified an SF-module shared across all MYC-active tumors, suggesting a pan-cancer

vulnerability. We hypothesize that MYC regulates a network of SFs which cooperate in tumor pathogenesis and

that disrupting this network could provide a novel strategy to slow growth of MYC-driven tumors. Here, we will

leverage our expertise in RNA splicing and cancer biology and apply a functional genomics approach to gain

novel insights into MYC's oncogenicity. Aim 1 will characterize the function of 6 MYC-induced SF modules and

their splicing targets in TNBC tumor growth in vitro and in vivo. Since it is unknown whether MYC regulates a

shared set of isoforms in distinct tissues, Aim 2 will identify pan-cancer splicing signatures predictive of MYC

activity and clinical outcomes, which may serve as clinical biomarkers, and will deliver putative neo-antigens

generated from MYC-induced isoforms. Finally, Aim 3 will implement genomic approaches to determine which

MYC-induced isoforms are essential for the growth of MYC-driven cancer cells and patient-derived organoids.

This project will reveal fundamental mechanisms by which oncogenic SFs and their target spliced isoforms drive

tumorigenesis downstream of MYC. These results could help inform development of therapeutic strategies for

tumors driven by MYC, which remains an undruggable target.

Grant Number: 5R01CA248317-05
NIH Institute/Center: NIH

Principal Investigator: OLGA ANCZUKOW-CAMARDA

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