Immune Exclusion in Cancer Immunotherapy
癌症免疫治疗中的免疫排除
基本信息
- 批准号:10693317
- 负责人:
- 金额:$ 60.49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:Advanced Malignant NeoplasmAutomobile DrivingBioinformaticsBiologicalBiological MarkersBiopsyCD8-Positive T-LymphocytesCarcinogensCell CommunicationCell Differentiation processCell LineCell ProliferationCellsClinical TrialsComputational BiologyDataData SetDatabasesDendritic CellsDimensionsDrug CombinationsEvaluationExclusionFDA approvedFoundationsFutureGene ExpressionGenesGenomicsGoalsHPV-negative head and neck cancerHead and Neck CancerHead and Neck Squamous Cell CarcinomaHeterogeneityHumanHuman PapillomavirusHuman papilloma virus infectionImageImage AnalysisImmuneImmune checkpoint inhibitorImmunooncologyImmunotherapyIn VitroInterferonsInvestigationLinkLymphocyteMAP Kinase GeneMachine LearningMacrophageMass Spectrum AnalysisMeasuresMediatingModalityModelingMolecularMolecular TargetMusMutationNivolumabOncogenicOrganoidsPathway interactionsPatientsPharmaceutical PreparationsPhenotypePhosphotransferasesProductionPropertyProteomicsPublic DomainsRationalizationResearchResistanceResolutionRoleSafetySignal TransductionSolid NeoplasmSpatial DistributionSpecimenT cell infiltrationT-LymphocyteT-cell inflamedTestingTranslational ResearchTumor-infiltrating immune cellsVEGFA geneVariantVascular Endothelial Growth FactorsVegf inhibitionadjudicationanti-PD-1anti-PD1 therapybeta cateninbiomarker developmentcancer immunotherapycheckpoint inhibitionchemokineclinical translationcohortcombinatorialdeep learningdrug repurposingdrug sensitivityexperimental studygenomic datahigh dimensionalityimmune resistanceimmunosuppressive macrophagesimprovedimproved outcomein vivoinhibitorliquid crystal polymermathematical modelmonocytemouse modelmultidimensional datamultiple omicsmultiplexed imagingneoplastic cellnew therapeutic targetnovelnovel therapeutic interventionp38 Mitogen Activated Protein Kinasepatient populationprogrammed cell death ligand 1protein protein interactionpublic databaseresistance mechanismresponsesynergismtargeted treatmenttherapy resistanttranscriptome sequencingtreatment responsetumortumor microenvironmentvalidation studies
项目摘要
ABSTRACT
Most patients with solid tumors do not benefit from immune-checkpoint inhibition, emphasizing the need to
improve immunotherapy. We have demonstrated that the T cell-inflamed tumor microenvironment (TME),
characterized by CD8+ T cells and type I/II interferon (IFN) gene expression, is an important cancer
immunotherapy biomarker. Tumor mutational burden may also dictate response with some oncogenic
pathways, such as WNT/β-catenin, known to mediate immune-exclusion and drive the non-T cell-inflamed
TME. Our research group has nominated a core group of molecular targets associated with immune-exclusion
centered at p38 MAPK. p38 is known to regulate macrophages and dendritic cells. However, our data are the
first to describe a tumor cell-intrinsic role for p38 driving the non-T cell-inflamed TME. In this project, we will
investigate tumor cell p38 signaling as a new mechanism of resistance to immunotherapy in carcinogen-
associated head and neck squamous cell carcinoma (HNSCC), lacking infection by human papillomavirus
(HPV). Our research aims are to (1) Establish a causal link between p38, non-T cell-inflamed tumors, and
resistance to ICI in HPV- HNSCC (2) Determine the impact of tumor cell p38 MAPK spatial distribution on T cell
infiltration in HPV− HNSCC (3) Validate and uncover co-activated mechanisms with p38 MAPK in HPV−
HNSCC. We will leverage our lab’s unique role at the center of large-scale, multi-omic approaches as well as
field-leading clinical trial and translational investigation. We will utilize 11 independent cohorts of patients with
HPV- HNSCC. From the public domain, we will include RNAseq and image analysis from three cohorts,
scRNAseq from one cohort, as well as cell line, drug sensitivity and FDA-approved drug databases. These
analyses will be augmented for RNAseq, scRNAseq, and multispectral spatial imaging data from seven other
cohorts organized by our team. These will include immunotherapy naïve patients and patients treated on a
clinical trial we are leading of the p38 inhibitor ARRY-614 + nivolumab. We will utilize a combination of the
computational, machine- and deep-learning analyses plus mechanistic murine experiements in four syngeneic
models as well as in vitro validation studies to pursue our research. Our systemic approach has already
nominated further molecular targets for combination approaches with p38 and immunotherapy. We will validate
these and nominate further molecular targets to enhance cancer immunotherapy.
摘要
大多数实体瘤患者不能从免疫检查点抑制中受益,强调有必要
提高免疫治疗水平。我们已经证明,T细胞炎性肿瘤微环境(TME),
以CD8+T细胞和I型/II型干扰素(IFN)基因表达为特征,是一种重要的癌症
免疫治疗生物标记物。肿瘤突变负担也可能决定对某些致癌基因的反应
已知的介导免疫排斥和驱动非T细胞炎症的通路,如Wnt/β-Catenin
我也是。我们的研究小组提名了一组与免疫排斥相关的核心分子靶点
以p38MAPK为中心。已知p38可调节巨噬细胞和树突状细胞。然而,我们的数据是
首先描述p38驱动非T细胞炎症的TME的肿瘤细胞内在作用。在这个项目中,我们将
研究肿瘤细胞p38信号作为致癌物免疫治疗耐药的新机制
头颈部鳞状细胞癌(HNSCC),无人乳头瘤病毒感染
(人乳头瘤病毒)。我们的研究目的是(1)建立p38、非T细胞炎症性肿瘤和
HPV-HNSCC对ICI的耐药性(2)决定肿瘤细胞p38MAPK空间分布对T细胞的影响
人乳头状瘤病毒−中的浸润(3)验证和揭示p38MAPK在人乳头状瘤病毒−中的共激活机制
HNSCC。我们将利用我们实验室在大规模、多组学方法以及
现场领先的临床试验和转化研究。我们将利用11个独立的患者队列
HPV-HNSCC。在公共领域,我们将包括来自三个队列的RNAseq和图像分析,
来自一个队列的scRNAseq,以及细胞系、药物敏感性和FDA批准的药物数据库。这些
对RNAseq、scRNAseq和来自其他七个国家的多光谱空间成像数据的分析将得到增强
由我们团队组织的队列。这些患者将包括免疫治疗天真的患者和接受
我们正在领导p38抑制剂ARRY-614+nivolumab的临床试验。我们将结合使用
计算、机器和深度学习分析加上四个同基因小鼠的机械实验
模型以及体外验证研究,以继续我们的研究。我们的系统性方法已经
提名了与p38和免疫治疗相结合的进一步分子靶点。我们将验证
这些并提名更多的分子靶点来加强癌症免疫治疗。
项目成果
期刊论文数量(0)
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Riyue Bao其他文献
Riyue Bao的其他文献
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{{ truncateString('Riyue Bao', 18)}}的其他基金
Core C: Biostatistics and Bioinformatics Core
核心 C:生物统计学和生物信息学核心
- 批准号:
10331961 - 财政年份:2004
- 资助金额:
$ 60.49万 - 项目类别:
Core C: Biostatistics and Bioinformatics Core
核心 C:生物统计学和生物信息学核心
- 批准号:
10704548 - 财政年份:2004
- 资助金额:
$ 60.49万 - 项目类别:
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