grant

Discovery of Chronotherapeutic Candidate Targets in Pancreatic Cancer

Organization UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTONLocation HOUSTON, UNITED STATESPosted 10 Jun 2025Deadline 31 May 2027
NIHUS FederalResearch GrantFY2025AccountingAnimalsBasal Transcription FactorBasal transcription factor genesBiologicalBiological FunctionBiological ProcessBiological RhythmBody TissuesCancer CauseCancer EtiologyCancer TreatmentCancersCell BodyCellsCessation of lifeChronotherapyCircadian RhythmsClinicalCodeCoding SystemCoupledCyclicityDataData AnalysesData AnalysisData BasesData SetDatabasesDeathDeath RateDevelopmentDiseaseDisorderDiurnal RhythmDrugsEarthExhibitsFunctional MetagenomicsFundingGene ExpressionGene TranscriptionGeneral Transcription Factor GeneGeneral Transcription FactorsGenerationsGenesGenetic TranscriptionGenomeGenotypeHourHumanImmuneImmune infiltratesImmunesImmunomodulationIn VitroIncidenceIndividualInterventionKO miceKnock-out MiceKnockout MiceKnowledgeLibrariesMalignant Neoplasm TherapyMalignant Neoplasm TreatmentMalignant NeoplasmsMalignant Pancreatic NeoplasmMalignant TumorMalignant neoplasm of pancreasMapsMedicationMetagenomicsMethodsModern ManMolecularNetwork-basedNull MouseNyctohemeral RhythmOrganOrganismOutcomePancreasPancreas CancerPancreas Ductal AdenocarcinomaPancreaticPancreatic CancerPancreatic Ductal AdenocarcinomaPathway interactionsPatternPeriodicityPharmaceutical PreparationsPhenotypePlanet EarthProcessPrognosisProteinsRNA ExpressionRNA SeqRNA SplicingRNA sequencingRNAseqResearch ResourcesResourcesRhythmicityRiskRoleRotationSamplingSolid NeoplasmSolid TumorSplicingSystemTCGATestingThe Cancer Genome AtlasTimeTissuesTranscriptionTranscription Factor Proto-OncogeneTranscription factor genesTumor CellTumor-infiltrating immune cellsTwenty-Four Hour Rhythmanti-cancer therapybio-informatics toolbioinformatics toolbiologiccancer initiationcancer microenvironmentcancer therapycancer-directed therapycell behaviorcellular behaviorchemotherapycircadiancircadian clockcircadian pacemakercircadian processcircadian rhythmicityclinical applicabilityclinical applicationdaily biorhythmdata basedata integrationdata interpretationdevelopmentaldiurnal variationdrug efficacydrug/agentdruggable targetglobal gene expressionglobal transcription profilegraph theoryhuman tissueimmune cell infiltrateimmune cell infiltration of tumorsimmune cells infiltrating the tumorimmune cells that infiltrate the tumorimmune modulationimmune regulationimmunologic reactivity controlimmunomodulatoryimmunoregulationimmunoregulatoryin silicoinfiltration of tumors by immune cellsinsightintratumoral immune cellintratumoral immune infiltrateliving systemmalignancymortality ratemortality rationeoplasm/cancerneoplastic cellnew therapeutic approachnew therapeutic interventionnew therapeutic strategiesnew therapy approachesnew treatment approachnew treatment strategynovel therapeutic approachnovel therapeutic interventionnovel therapeutic strategiesnovel therapy approachpancreatic malignancyparent awardparent projectpathwayposttranscriptionalprogramsresponseresponse to therapyresponse to treatmentsocial roletherapeutic responsetherapy responsetranscription factortranscriptometranscriptome sequencingtranscriptomic sequencingtreatment responsetreatment responsivenesstumortumor immune celltumor immune infiltratetumor infiltration of immune cellstumor microenvironment
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Full Description

Abstract
Our "clock" system regulates diurnal variations (circadian rhythms) in biological processes to synchronize with

Earth's 24-hour rotation. This rhythmic pattern presents opportunities for time-dependent treatments of

diseases, including cancer, known as chronotherapy. Recent data from our group and others indicates that

tumors exhibit temporal gene expression, with variability in rhythmic patterns among individual tumors.

Mapping tumor-specific circadian rhythms is crucial to advancing chronotherapy towards clinical application,

despite logistical challenges in human organ sampling.

Aligned with the PI's current project and the objectives of this RFA, we propose to analyze Common Fund

program datasets to develop a robust framework for targeting chronotherapeutic processes against cancer.

Pancreatic ductal adenocarcinoma (PDA) will serve as our focus due to the high clinical demand for novel

therapeutic strategies given its poor prognosis. Aim 1 involves profiling the cancer-specific molecular

rhythmicity of human pancreatic tissue, including tumor and tumor-infiltrating immune cells, utilizing resources

such as Genotype-Tissue Expression (GTEx), Gene Expression Omnibus, The Cancer Genome Atlas (TCGA),

and COSMIC databases. In Aim 2, we aim to identify potential druggable targets for chronotherapy in PDA,

leveraging datasets from the Knockout Mouse Phenotyping Program (KOMP2), Library of Integrated Network-

based Cellular Signatures (LINCS), Illuminating the Druggable Genome (IDG), and Drug Bank.

We will integrate data, methods, and resources from the parent project as appropriate. These studies will

demonstrate a proof-of-concept approach to expand the use of available datasets in identifying

chronotherapeutic targets not only in cancer but also in other diseases.

Grant Number: 1R03OD039982-01
NIH Institute/Center: NIH

Principal Investigator: Faraz Bishehsari

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