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Immune Exclusion in Cancer Immunotherapy

癌症免疫治疗中的免疫排除

基本信息

批准号：
10584743
负责人：
Riyue Bao
金额：
$ 60.49万
依托单位：
UNIVERSITY OF PITTSBURGH AT PITTSBURGH
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：
https://reporter.nih.gov/project-details/10584743
关键词：
Address Advanced Malignant Neoplasm Automobile Driving Bioinformatics Biological Biological Markers Biopsy CD8-Positive T-Lymphocytes Carcinogens Cell Communication Cell Differentiation process Cell Line Cell Proliferation Cells Clinical Trials Coculture Techniques Computational Biology Data Data Set Databases Dendritic Cells Drug Combinations Evaluation Exclusion FDA approved Foundations Future Gene Expression Gene Proteins Genes Genomics Goals Head and Neck Cancer Head and Neck Squamous Cell Carcinoma Heterogeneity Human Human Papillomavirus Human papilloma virus infection Image Image Analysis Immune Immune checkpoint inhibitor Immunooncology Immunotherapy In Vitro Interferons Investigation Link Lymphocyte MAP Kinase Gene Machine Learning Mass Spectrum Analysis Measures Mediating Modality Modeling Molecular Molecular Target Mus Mutation Nivolumab Oncogenic Organoids Pathway interactions Patients Pharmaceutical Preparations Phenotype Phosphotransferases Production Property Proteomics Public Domains Research Resistance Resolution Role Safety Signal Transduction Solid Neoplasm Spatial Distribution Specimen T-Lymphocyte T-cell inflamed Testing Tumor-infiltrating immune cells VEGFA gene Variant Vascular Endothelial Growth Factors Vegf inhibition adjudicate anti-PD-1 anti-PD1 therapy base beta catenin biomarker development cancer immunotherapy cell type checkpoint inhibition chemokine cohort combinatorial deep learning drug repurposing drug sensitivity experimental study genomic data high dimensionality immune resistance immunosuppressive macrophages improved improved outcome in vivo inhibitor liquid crystal polymer macrophage mathematical model monocyte mouse model multiple omics multiplexed imaging neoplastic cell new therapeutic target novel novel therapeutic intervention p38 Mitogen Activated Protein Kinase patient population programmed cell death ligand 1 protein protein interaction public database resistance mechanism response synergism targeted treatment therapy resistant transcriptome sequencing treatment response tumor tumor microenvironment validation 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获益，强调需要改善免疫疗法。我们已经证明了T细胞发炎的肿瘤微环境（TME），以CD 8 + T细胞和I/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志物。肿瘤突变负荷也可能决定某些致癌基因的应答。通路，如WNT/β-连环蛋白，已知介导免疫排斥并驱动非T细胞炎症 TME。我们的研究小组已经提名了一组与免疫排斥相关的核心分子靶点以p38 MAPK为中心。已知p38调节巨噬细胞和树突细胞。然而，我们的数据是首先描述了p38驱动非T细胞炎性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抵抗新机制- 相关的头颈部鳞状细胞癌（HNSCC），无人乳头瘤病毒感染（HPV）。我们的研究目的是（1）建立p38，非T细胞炎症肿瘤， HPV-HNSCC对ICI的耐药（2）检测肿瘤细胞p38 MAPK空间分布对T细胞的影响 HPV− HNSCC浸润（3）研究并揭示HPV− HNSCC中p38 MAPK的共激活机制 HNSCC。我们将利用我们实验室在大规模，多组学方法中心的独特作用，以及领先的临床试验和转化研究。我们将使用11个独立的患者队列， HPV- HNSCC。从公共领域，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。这些将对来自其他七个国家的RNAseq、scRNAseq和多光谱空间成像数据进行分析。由我们的团队组织。其中包括未经免疫治疗的患者和接受免疫治疗的患者我们是p38抑制剂ARRY-614 + nivolumab的领先临床试验。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来进行我们的研究。我们的系统方法已经为p38和免疫疗法的组合方法提名了进一步的分子靶点。我们将验证这些和提名进一步的分子靶点，以加强癌症免疫治疗。