Structural-Transcriptional Relationships that Improve Y537S Estrogen Receptor Antagonism
Structural-Transcriptional Relationships that Improve Y537S Estrogen Receptor Antagonism
批准号:
10636229
负责人:
Sean William Fanning
金额:
$35.79万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-05-11 至 2028-04-30
关键词:
AddressAdoptedAffectBindingBreast Cancer CellBreast Cancer ModelBreast Cancer therapyCDK4 geneCancer EtiologyCessation of lifeClinicalDataDevelopmentDimerizationDisease ProgressionDrug KineticsDrug resistanceESR1 geneEmergency Department patientEstrogen AntagonistsEstrogen Receptor alphaEstrogen ReceptorsEstrogen receptor positiveFulvestrantGenesGenetic TranscriptionGenomeGenomicsGrowthHormonesHydrogen BondingIn VitroLegal patentLibrariesLigand BindingLigand Binding DomainLigandsMCF7 cellMissense MutationModelingMolecular ConformationMutationNeoplasm MetastasisOralPathologyPatientsPharmaceutical PreparationsPopulationPre-Clinical ModelProliferatingProteinsResistanceResolutionRoentgen RaysRouteSelective Estrogen Receptor ModulatorsSeriesShapesSomatic MutationStructureStructure-Activity RelationshipTamoxifenTherapeuticTissuesTranscription CoactivatorTranscriptional RegulationTreatment EfficacyUnited Statesantagonistanticancer activityappropriate dosebreast cancer genomicsbreast cancer progressiongenome-widehormone therapyimprovedin vivoinhibitorinsightmalignant breast neoplasmmortalitymutantnext generationnovelnovel therapeuticsoverexpressionpatient derived xenograft modelpharmacologicpressurepreventprogramsprotein protein interactionreceptorresponseside effectsmall moleculetherapeutic targettranscriptometumortumor growthtumor xenograft
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Summary
This proposal studies how drug-induced structural changes to Y537S estrogen receptor alpha (ERα) impact anti-
tumoral activities in hormone-resistant breast cancer cells. Breast cancer is the second leading cause of cancer
death in the United States. Acquired resistance to hormone therapies is a leading contributor to mortality. In
approximately 40% of progressive ER+ patients, prolonged selective pressure by antiestrogenic therapies gives
raise to tumors bearing activating somatic ESR1 (the gene for ERα) mutations. These mutations resist inhibition
by clinically approved hormone therapies and engage new transcriptional programs that boost metastatic
potential. Y537S missense mutation is among the most common and enables the greatest hormone-free
transcriptional activities and resistance to antiestrogen. Next generation selective estrogen receptor degraders
(SERDs) have been clinically deployed to address this mechanism of drug resistance. However, they show
variable activities in Y537S ESR1 breast cancers and possess common side-effects that will limit their long-term
use. We recently studied how a panel of 17 selective estrogen receptor modulators (SERMs) and SERDs bind
to and affect Y537S ERα activities in breast cancer cells. We identified structurally distinct SERMs and SERDs
with improved activities in this setting. While structurally distinct, our x-ray co-crystal structures showed that the
most effective molecules engaged the same S537-E380 hydrogen bond to reinforce the therapeutic antagonist
conformation. Therefore, we hypothesize that novel ligand-dependent structural interactions will improve
therapeutic antagonistic activities in the Y537S ESR1 setting. In this study, we will leverage our library of over
100 diverse SERMs and SERDs to reveal the structural-transcriptional relationships that underlie improved anti-
cancer activities Y537S ESR1 breast cancer cells. We will start by studying how our library binds to and affects
Y537S ERα structure and anti-cancer activities (Aim 1). This approach will reveal the ligand binding modes and
structural interactions that enable potency. Next, we will study how the most effective molecules impact Y537S
ERα genomic activities including protein-protein interactions, genome binding, and transcriptional programing
(Aim 2). This approach will show whether the efficacies of SERMs and SERDs arise from alterations to Y537S
ERα genomic activities. Finally, we will reveal the anti-tumor and tissue-specific activities of the most effective
SERMs and SERDs in hormone-resistant ER+ breast cancer in vivo (Aim 3). This approach will reveal whether
our in vitro observations correspond to improved anti-cancer activities in patient-relevant tumor models. Overall,
these studies will provide detailed structural-transcriptional relationships to improve therapeutic targeting of
Y537S ERα in hormone-resistant breast cancer.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金