grant

Uncovering Epigenetic and Transcriptional Drivers of Neuroendocrine Plasticity at Single-Cell Level in Patients with Small Cell Lung Cancer Transformation

Organization SLOAN-KETTERING INST CAN RESEARCHLocation NEW YORK, UNITED STATESPosted 15 Dec 2021Deadline 30 Nov 2026
NIHUS FederalResearch GrantFY2026ACSL1ACSL1 GeneASCL1ASCL1 geneASCL1 proteinASH1ATAC sequencingATAC-seqATACseqAblationAchaete-Scute Complex Homolog-Like 1 ProteinAchaete-Scute Complex-Like 1 ProteinAchaete-Scute Homolog 1 ProteinAdvisory CommitteesAntioncogene Protein p53Assay for Transposase-Accessible Chromatin using sequencingAtlasesAutomobile DrivingBETA2 proteinBasal Transcription FactorBasal transcription factor genesCancer CenterCancer HistologyCancer ModelCancerModelCancersCell BodyCell Communication and SignalingCell NucleusCell SignalingCellsCellular Tumor Antigen P53ChemoresistanceClassificationClinicalCollaborationsComputing MethodologiesDNA mutationDevelopment and ResearchDoctor of PhilosophyDrug TargetingEGF ReceptorEGFRELF3ELF3 geneEPR-1ERBB ProteinERT geneERT proteinESE-1ESXEnvironmentEpidermal Growth Factor ReceptorEpidermal Growth Factor Receptor KinaseEpidermal Growth Factor Receptor Protein-Tyrosine KinaseEpidermal Growth Factor-Urogastrone ReceptorsEpigeneticEpigenetic ChangeEpigenetic MechanismEpigenetic ProcessFacultyFundingGene TranscriptionGeneral Transcription Factor GeneGeneral Transcription FactorsGenesGenetic ChangeGenetic MarkersGenetic TranscriptionGenetic defectGenetic mutationGenomicsGoalsHASH1HASH1 proteinHER1HistologicHistologicallyHistologyHumanIn VitroIntracellular Communication and SignalingIntratumoral heterogeneityKnock-outKnockoutLaser ElectromagneticLaser RadiationLasersLibrariesLungLung AdenocarcinomaLung Respiratory SystemMASH 1 proteinMASH1MASH1 proteinMSKCCMachine LearningMalignant CellMalignant NeoplasmsMalignant TumorMalignant Tumor of the LungMalignant neoplasm of lungMammalian Achaete-Scute Homolog 1Medical OncologyMemorial Sloan-Kettering Cancer CenterMentorsMetastasisMetastasizeMetastatic LesionMetastatic MassMetastatic NeoplasmMetastatic TumorMiceMice MammalsModelingModern ManMolecularMurineMusMutationNEUROD1NSCLCNSCLC - Non-Small Cell Lung CancerNeoplasm MetastasisNeuroD1 gene productNeuroendocrineNeuroendocrine SystemNeurosecretory SystemsNon-Polyadenylated RNANon-Small Cell Lung CancerNon-Small-Cell Lung CarcinomaNucleusOat cell carcinomaOncogenicOncoprotein p53P53PDX modelPatient CarePatient Care DeliveryPatient derived xenograftPatientsPh.D.PhDPhenotypePhosphoprotein P53Phosphoprotein pp53PhysiciansPlayPopulationPre-Clinical ModelPreclinical ModelsPreparationProcessProtein TP53Pulmonary CancerPulmonary malignant NeoplasmR & DR&DRB1RB1 geneRNARNA ExpressionRNA Gene ProductsRecurrenceRecurrentRelapseResearchResearch ProposalsResearch ResourcesResistanceResourcesRibonucleic AcidRiskRoleSamplingScientistSecondary NeoplasmSecondary TumorSignal TransductionSignal Transduction SystemsSignalingSingle cell seqSmall Cell Lung CancerSystematicsTGF-alpha ReceptorTP53TP53 geneTRP53Task ForcesTherapeuticTrainingTranscriptionTranscription Factor Proto-OncogeneTranscription factor genesTransforming Growth Factor alpha ReceptorTumor Protein p53Tumor Protein p53 GeneUrogastrone ReceptorValidationVariantVariationadvisory teamassay for transposase accessible chromatin followed by sequencingassay for transposase accessible chromatin seqassay for transposase accessible chromatin sequencingassay for transposase-accessible chromatin with sequencingbeta-cell E-box trans-activator 2biological signal transductionbiomarker identificationc-erbB-1c-erbB-1 Proteincancer cellcancer metastasiscancer sub-typescancer subtypescancer typecare for patientscare of patientscareercareer developmentcaring for patientscell transformationchemoresistantchemotherapy resistancechemotherapy resistantcohortcomputational methodologycomputational methodscomputer based methodcomputer methodscomputing methoddrivingentire genomeepigenetic regulationepigeneticallyerbB-1erbB-1 Proto-Oncogene ProteinerbBlexperienceexperimentexperimental researchexperimental studyexperimentsfull genomegene biomarkergene expression biomarkergene manipulationgene markergene signature biomarkergenetic biomarkergenetic manipulationgenetically manipulategenetically perturbgenome mutationheterogeneity in tumorsidentification of biomarkersidentification of new biomarkersin vivoin vivo Modelinnovateinnovationinnovativeintra-tumoral heterogeneityintratumor heterogeneitylab experiencelab traininglaboratory experiencelaboratory traininglung cancerlung oat cell carcinomalung small cell neuroendocrine carcinomamachine based learningmalignancymarker identificationmolecular biomarkermolecular markerneoplasm/cancernew drug classnotchnotch proteinnotch receptorsnovel drug classoat cell canceroverexpressoverexpressionp53 Antigenp53 Genesp53 Tumor Suppressorpatient derived xenograft modelpre-clinicalpre-clinical studypreclinicalpreclinical studypreparationspressurepreventpreventingprogramsprotein p53proto-oncogene protein c-erbB-1research and developmentresistance to therapyresistantresistant to therapyretinoblastoma-1scRNA sequencingscRNA-seqsingle cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell next generation sequencingsingle cell sequencingsingle cell transcriptomic profilingsingle-cell RNA sequencingskillssmall cell lung carcinomasmall cell undifferentiated carcinomasocial roletargeted drug therapytargeted drug treatmentstargeted therapeutictargeted therapeutic agentstargeted therapytargeted treatmenttenure processtenure tracktherapeutic resistancetherapeutic targettherapy resistanttranscription factortranscriptomicstransformed cellstreatment resistancetumortumor cell metastasistumor heterogeneityvalidationswhole genome
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Full Description

PROJECT SUMMARY/ABSTRACT
Research: In lung adenocarcinoma (LUAD), neuroendocrine (NE) transformation to small cell lung cancer

(SCLC) is associated with metastasis and resistance to targeted therapies. This lineage plasticity often leads to

LUAD and SCLC admixed in the same tumor. We demonstrated that laser-microdissected LUAD and SCLC

intratumoral components share truncal mutations, confirming NE transformation. SCLC itself is classified as

classical, variant, and non-NE subtypes. Preclinical studies demonstrate that variant and non-NE subtypes have

increased risk for metastasis and chemoresistance. It is poorly understood what gene regulatory mechanism

drives SCLC transformation and SCLC subtype switching. Single-cell RNA and ATAC sequencing (scRNA-seq,

snATAC-seq) in samples of combined LUAD/SCLC histology present an ideal platform to characterize the

intratumoral heterogeneity of NE plasticity. As a control reference, we completed scRNA-seq in a cohort of de

novo SCLC (Chan, et al. bioRxiv, under review at Cancer Cell). We performed scRNA-seq in an initial cohort of

combined LUAD/SCLC and found significantly increased intratumoral subtype diversity in transformed SCLC (T-

SCLC). We found Notch suppression in T-SCLC and reactivation with subsequent SCLC subtype diversification.

We observed overexpressed SOX2 and ELF3 in pre-transformed vs classical LUAD, and PHOX2B and ELF3 in

T-SCLC vs de novo SCLC. We hypothesize that under RB1 and TP53 loss, key transcription factors (SOX2,

PHOX2B, ELF3), epigenetic regulators, and modulation of Notch signaling all contribute to NE transformation

and subtype diversification. We will leverage scRNA-seq and snATAC-seq in samples of combined LUAD/SCLC

histology to 1) identify molecular markers of subclonal populations, 2) reconstruct the regulatory network, and 3)

validate transcriptomic and epigenetic drivers of NE plasticity in preclinical in vitro and in vivo models, including

an EGFR+ LUAD patient-derived xenograft undergoing NE transformation after osimertinib treatment.

Candidate: Dr. Joseph Chan, MD, PhD is a Medical Oncology Fellow at MSKCC. He aims to become an

independent, tenure-track physician-scientist investigating lineage plasticity in metastasis and treatment

resistance in cancer. His mentors Drs. Charles Rudin and Dana Pe’er are leading experts in lung cancer and

single-cell sequencing, respectively. Dr. Chan proposes a five-year period of mentored training to acquire wet

lab and advanced computational skills. His wet lab training will include 1) single-cell library preparation and 2)

genetic manipulation of preclinical models for functional validation. His computational training will include 1)

snATAC-seq analysis and 2) advanced machine learning. His advisory committee—Drs. Charles Sawyers,

Helena Yu, Ronan Chaligné, and Christina Leslie—will guide his training and research.

Environment: MSKCC is a cancer center renowned for patient care, innovative research, and training for junior

faculty seeking careers as independent physician-scientists. MSKCC houses the Single Cell Research Initiative

that advances single-cell sequencing, which will support this proposal for research and career development.

Grant Number: 5K08CA259161-05
NIH Institute/Center: NIH

Principal Investigator: Joseph Chan

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