Mechanisms of liver metastasis and associated resistance to immunotherapy
肝转移的机制和相关的免疫治疗耐药性
基本信息
- 批准号:10368974
- 负责人:
- 金额:$ 43.87万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-03-09 至 2026-02-28
- 项目状态:未结题
- 来源:
- 关键词:AnimalsAntibodiesBiological MarkersBiopsyBrainCD4 Positive T LymphocytesCD8B1 geneCRISPR screenCRISPR/Cas technologyCell physiologyCellsCellular Metabolic ProcessClinicalCommunitiesDependenceDevelopmentDiseaseDisseminated Malignant NeoplasmDrug DesignDrug resistanceEnvironmentFlow CytometryFrequenciesFunctional disorderGeneticGenome engineeringGenomicsGlucoseGoalsHematogenousHumanImageImmuneImmune System DiseasesImmune checkpoint inhibitorImmunotherapyImpairmentIncidenceInsulinInsulin ReceptorKnock-outLesionLiverLungLymphaticMalignant NeoplasmsMeasurementMediatingMelanoma CellMetastatic MelanomaMetastatic Neoplasm to the LiverMetastatic Neoplasm to the LungMethodologyMethodsModelingMolecularMusMutationNeoplasm MetastasisOrganPI3K/AKTPancreasPathway interactionsPatientsPatternPeripheral Blood Mononuclear CellPersonsPharmaceutical PreparationsPharmacotherapyPhosphorylationPhysiologicalPopulationPre-Clinical ModelPrimary NeoplasmPrognosisProto-Oncogene Proteins c-aktResearchResistanceRoleRouteSignal TransductionSiteSurvival RateT-LymphocyteTestingTumor-infiltrating immune cellsVariantXenograft Modeladvanced diseasecancer cellcancer immunotherapycell motilitycell typecohortdesigndrug developmentexomeexperimental studygene productimprovedin vivoinhibitorinnovationinsulin signalingliver biopsyliver developmentlymph nodesmelanomametabolomicsmouse modelmultiplexed imagingneoplasm resourcenovelnovel therapeuticsphosphoproteomicsresponsesample collectionsingle cell sequencingsingle-cell RNA sequencingtranscriptomicstreatment responsetumor growth
项目摘要
PROJECT SUMMARY
The incidence of melanoma has doubled in the last three decades and is projected to exceed 100,000 cases in
the US in 2020. Almost 7,000 people died of melanoma in the US in 2019. Melanoma has a strong propensity
to spread both via lymphatic and hematogenous routes. The most common sites of metastasis include lymph
nodes, lung, liver and brain. Although novel therapies, such as immunotherapies have improved survival of
patients with metastatic disease, metastatic patterns can influence responses to such therapies. In particular,
patients with metastases to the liver have a lower response and survival rates in response to immune checkpoint
inhibitors compared to patients with metastases to other organs. The molecular underpinnings of liver metastasis
development and the impact on drug response and resistance are poorly understood. This is in part due to limited
pre-clinical models that resembles metastatic patterns seen in patients, and a sparsity of genomic
characterization of human liver metastatic lesions. The goal of this proposal is to determine drivers of melanoma
liver metastasis (MLM) and mechanisms of associated resistance to immunotherapies. For this purpose, we
characterized and used a novel syngeneic mouse model that faithfully recapitulates genomic, metastatic and
response patterns seen in patients. We performed a large-scale in vivo CRISPR-Cas9 screen and identified
perturbations that promote development of MLM, but not primary tumor growth or metastasis to other organ
sites. In the first aim of this proposal, we elucidate the cell intrinsic signaling mechanisms promoting MLM. Next,
using integrated high-plex imaging, immune-profiling and single-cell sequencing, we determine the immune
infiltrates of MLM and concurrent lung metastases and how the immune compartment impacts the response to
clinically used immunotherapies. Finally, we assembled a large cohort of patient biopsies from liver metastases
and concurrent metastases from other organ sites as well as peripheral blood mononuclear cells (PBMCs) for
genomic and immune profiling. Together, these studies will provide a landscape of genomic determinants,
signaling mechanisms and immune environments of MLM and their impact on responses to immunotherapies
and have the potential to identify novel avenues for rationale drug development.
项目摘要
在过去的三十年中,黑色素瘤的发病率增加了一倍,预计将超过100,000例
美国在2020年。2019年美国有近7,000人死于黑色素瘤。黑色素瘤的倾向很强
通过淋巴和血源性路线传播。转移的最常见部位包括淋巴
节点,肺,肝脏和大脑。尽管新颖的疗法,例如免疫疗法,已经提高了
转移性疾病的患者,转移性模式会影响对这种疗法的反应。尤其,
肝脏转移的患者对免疫检查点的反应较低和存活率较低
与其他器官的转移患者相比,抑制剂与其他器官相比。肝转移的分子基础
发育以及对药物反应和抗药性的影响知之甚少。这部分是由于有限的
类似于患者的转移模式的临床前模型,基因组的稀疏性
人肝转移性病变的表征。该建议的目的是确定黑色素瘤的驱动因素
肝转移(MLM)和对免疫疗法的抗性机制。为此,我们
表征并使用了一种新型的合成小鼠模型,该模型忠实地概括了基因组,转移和
患者看到的反应模式。我们进行了大规模的体内CRISPR-CAS9屏幕,并确定了
促进MLM发展的扰动,但不是原发性肿瘤生长或转移到其他器官
站点。在该提案的第一个目的中,我们阐明了促进MLM的细胞固有信号传导机制。下一个,
使用集成的高应成像,免疫促进和单细胞测序,我们确定免疫
MLM和并发肺转移的浸润以及免疫区室如何影响对
临床使用的免疫疗法。最后,我们组装了大量的来自肝转移的患者活检
以及来自其他器官部位的并发转移以及外周血单核细胞(PBMC)
基因组和免疫分析。这些研究将共同提供基因组决定因素的景观
MLM的信号传导机制和免疫环境及其对免疫疗法反应的影响
并有潜力确定基本原理药物开发的新途径。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Benjamin Izar其他文献
Benjamin Izar的其他文献
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{{ truncateString('Benjamin Izar', 18)}}的其他基金
Single-Cell, Spatial and Functional Dissection of Cancer Cell States, Co-Evolving Ecosystems, and Vulnerabilities During Tumor Progression and Metastasis
癌细胞状态、共同进化生态系统以及肿瘤进展和转移过程中的脆弱性的单细胞、空间和功能剖析
- 批准号:
10729386 - 财政年份:2023
- 资助金额:
$ 43.87万 - 项目类别:
Multi-cellular interactions defining the human brain metastatic niche
多细胞相互作用定义人脑转移生态位
- 批准号:
10651257 - 财政年份:2023
- 资助金额:
$ 43.87万 - 项目类别:
The role of the CD58:CD2 axis in cancer immune evasion and resistance to immunotherapy
CD58:CD2轴在癌症免疫逃避和免疫治疗抵抗中的作用
- 批准号:
10671582 - 财政年份:2022
- 资助金额:
$ 43.87万 - 项目类别:
Dissecting drug resistance in serial uveal melanoma biopsies using integrated, multi-modal single-cell profiling and novel machine learning tools.
使用集成的多模式单细胞分析和新颖的机器学习工具剖析连续葡萄膜黑色素瘤活检中的耐药性。
- 批准号:
10290692 - 财政年份:2021
- 资助金额:
$ 43.87万 - 项目类别:
Mechanisms of liver metastasis and associated resistance to immunotherapy
肝转移的机制和相关的免疫治疗耐药性
- 批准号:
10818003 - 财政年份:2021
- 资助金额:
$ 43.87万 - 项目类别:
Mechanisms of liver metastasis and associated resistance to immunotherapy
肝转移的机制和相关的免疫治疗耐药性
- 批准号:
10593044 - 财政年份:2021
- 资助金额:
$ 43.87万 - 项目类别:
Mechanisms of liver metastasis and associated resistance to immunotherapy
肝转移的机制和相关的免疫治疗耐药性
- 批准号:
10185418 - 财政年份:2021
- 资助金额:
$ 43.87万 - 项目类别:
Dissecting drug resistance in serial uveal melanoma biopsies using integrated, multi-modal single-cell profiling and novel machine learning tools.
使用集成的多模式单细胞分析和新颖的机器学习工具剖析连续葡萄膜黑色素瘤活检中的耐药性。
- 批准号:
10447792 - 财政年份:2021
- 资助金额:
$ 43.87万 - 项目类别:
Dissecting mechanisms of immunotherapy resistance in melanoma patients
剖析黑色素瘤患者免疫治疗耐药的机制
- 批准号:
10231195 - 财政年份:2017
- 资助金额:
$ 43.87万 - 项目类别:
Dissecting mechanisms of immunotherapy resistance in melanoma patients
剖析黑色素瘤患者免疫治疗耐药的机制
- 批准号:
9751820 - 财政年份:2017
- 资助金额:
$ 43.87万 - 项目类别:
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