Toward Clinical Trial: AXL-STAT3 Targeting of Lung Tumor Microenvironments
走向临床试验:AXL-STAT3 靶向肺肿瘤微环境
基本信息
- 批准号:10660429
- 负责人:
- 金额:$ 47.87万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-06-01 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:A549AftercareBindingBiologicalBiological AssayBiopsyCD34 geneCancer PatientCancer cell lineCell LineCellsClinicalClinical TrialsClustered Regularly Interspaced Short Palindromic RepeatsCoculture TechniquesCollaborationsCombined Modality TherapyCommunicationCommunitiesComparison armComplexCorrelative StudyDataDependenceDistant MetastasisDoseDrug TargetingEcosystemEnzyme-Linked Immunosorbent AssayEpitheliumFibroblastsGrowthHeterogeneityHybridsIL6ST geneImmunofluorescence ImmunologicImmunologicsImplantIn VitroInterleukin-11InvestigationJAK1 geneKnock-outLungLung AdenocarcinomaLung NeoplasmsMacrophageMalignant - descriptorMalignant neoplasm of lungMaximum Tolerated DoseMediatingMesenchymalModelingMolecular ProfilingMusNeoplasm Circulating CellsNon-MalignantOncoproteinsOrganoidsParacrine CommunicationPathway interactionsPatient-Focused OutcomesPatientsPhasePhase Ib TrialPhenotypePopulationPrediction of Response to TherapyProductionProgression-Free SurvivalsReceptor Protein-Tyrosine KinasesResistanceSTAT3 geneSafetySignal TransductionStimulusSystemTherapeuticToxic effectTranslatingTransplantationTumor BurdenXenograft ModelXenograft procedurecancer therapycell typecytokinedesigndrug testingeffective therapyepithelial to mesenchymal transitionexperimental studyhuman subjecthumanized mouseimprovedin vivoindexinginhibitorinnovationinsightknock-downliquid biopsylung cancer celllymph nodesmimicrymolecular markermonocytemouse modelneoplastic cellnovelparacrineperipheral bloodphase 2 studyprecision medicinepreclinical studypredictive markerpreventprogramsprospectiverecruitresponserestraintsecondary endpointsmall hairpin RNAstemnesssurvival outcometargeted treatmenttreatment strategytreatment stratificationtumortumor growthtumor microenvironmenttumor xenografttumorigenic
项目摘要
ABSTRACT
Dynamic lung tumor microenvironments (TMEs) contain a myriad of cell subtypes, each providing a unique
functionality in support of malignant growth. To prepare a metastatic niche, a tight signaling network must be
present to coordinate the delivery and sharing of co-stimulatory signals among malignant and non-malignant cell
populations. AXL and STAT3 cascades are critical components of intra- and intercellular signaling networks, as
they translate multiple external stimuli into specific cellular responses. Single cell profiling of lung tumors reveals
that AXL collaborates with STAT3 to generate a unified tumor ecosystem that promotes hybrid epithelial-to-
mesenchymal transition (EMT), pro-tumorigenic remodeling of fibroblasts and M2 polarization of macrophages.
Disruption of AXL-STAT3 network not only compromises this co-dependency in lung cancer cells implanted in
xenograft mice, but also limits the tumor cells' ability to conscript supportive host cells to form a symbiotic
community. We hypothesize that combined targeting of AXL-STAT3 network disrupts the communication
among diverse cell subtypes, thereby inhibiting lung tumor growth and metastatic spread. In Aim 1a, we will
conduct knockdown and knockout experiments in lung cancer, fibroblast and monocytic cell lines to explore the
relationship between AXL-STAT3 pathway and macrophage differentiation in co-culture systems. We will
demonstrate that AXL-STAT3 network in lung cancer cells and fibroblasts exerts a paracrine effect via IL-11
secretion on macrophages to sustain STAT3 signaling for M2 polarization and stemness mimicry. In Aim 1b, in
vivo drug testing of AXL and JAK inhibitors in CD34+ humanized NSGTM-SGM3 mouse xenograft models will
evaluate AXL-STAT3 drug targeting effects on host cell recruitment, hybrid EMT phenotypes, macrophage
plasticity and pro-tumorigenic remodeling of stromal fibroblasts. In Aim 2, we propose a phase Ib/II study to
determine safety and efficacy of dubermatinib (AXL inhibitor) and momelotinib (JAK inhibitor) in patients with
metastatic lung adenocarcinoma. In Aim 2a, a Bayesian Optimal Interval design will identify the MTD of
momelotinib in combination with dubermatinib with a target toxicity rate 30% in 18 patients. In Aim 2b, we will
conduct a prospective phase II, single-arm comparison of progression free survival in 26 patients treated with
combination dubermatinib and momelotinib versus an historical control. Correlative studies include pre- and post-
treatment paired lung tumor and liquid biopsies to determine if combined treatment can disrupt AXL-STAT3
signaling network in malignant and non-malignant cell populations and reprogram aggressive tumor
microenvironments. AXL-STAT3 targeting to restrain TMEs is a promising therapeutic strategy in patients with
advanced lung adenocarcinoma. This R01 proposal will address an important question regarding the efficacy of
combination treatment with AXL inhibitor and JAK inhibitor (for STAT3 signaling blockade) in lung cancer patients
and will provide a treatment stratification model based on intercellular crosstalk between AXL-STAT3 signaling
for an extended clinical trial.
摘要
动态肺肿瘤微环境(TME)包含多种细胞亚型,每种细胞亚型提供独特的
支持恶性生长的功能。为了准备一个转移的利基市场,一个紧密的信令网络必须
协调恶性和非恶性细胞之间共刺激信号的传递和共享
人口。AX1和STAT3级联是细胞内和细胞间信号网络的关键组件,因为
它们将多种外部刺激转化为特定的细胞反应。肺肿瘤的单细胞图谱显示
AXL与STAT3合作产生一个统一的肿瘤生态系统,促进上皮到细胞的杂交
间充质转化(EMT)、成纤维细胞的促肿瘤重塑和巨噬细胞的M2极化。
Ax1-STAT3网络的破坏不仅损害了肺癌细胞在体内的这种相互依赖性
异种移植小鼠,但也限制了肿瘤细胞征募支持性宿主细胞形成共生的能力
社区。我们假设AXL-STAT3网络的联合目标中断了通信
在不同的细胞亚型之间,从而抑制肺癌生长和转移扩散。在目标1a中,我们将
在肺癌、成纤维细胞和单核细胞系中进行基因敲除和基因敲除实验,以探索
共培养体系中Axl-STAT3通路与巨噬细胞分化的关系我们会
肺癌细胞和成纤维细胞中Axl-STAT3网络通过IL-11发挥旁分泌作用
巨噬细胞分泌STAT3信号支持M2极化和茎的拟态。在目标1b中,在
在CD34+人源化NSGTM-SGM3小鼠异种移植模型中AXL和JAK抑制剂的体内药物测试将
评估Axl-STAT3药物靶向对宿主细胞募集、混合EMT表型、巨噬细胞的影响
间质成纤维细胞的可塑性和促肿瘤重塑。在目标2中,我们提议进行Ib/II阶段研究,以
确定杜贝马替尼(Axl抑制剂)和莫洛替尼(JAK抑制剂)治疗慢性粒细胞白血病的安全性和有效性
转移性肺腺癌。在目标2a中,贝叶斯最优区间设计将识别
莫洛替尼联合杜贝马替尼治疗18例,靶毒率为30%。在目标2b中,我们将
对26例患者进行前瞻性II期单臂无进展生存期比较
联合杜贝马替尼和莫洛替尼与历史对照。相关研究包括治疗前和治疗后。
将肺肿瘤和液体活检配对治疗以确定联合治疗是否可以干扰Ax1-STAT3
恶性和非恶性细胞群体中的信号网络与侵袭性肿瘤的再编程
微环境。靶向抑制TMES的AXL-STAT3是一种有前途的治疗策略
晚期肺腺癌。这份R01提案将解决一个重要的问题,即
AXL和JAK联合治疗肺癌的疗效观察
并将提供基于AX1-STAT3信号之间的细胞间串扰的治疗分层模型
进行更长时间的临床试验。
项目成果
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