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Advancing the translatability of mouse models for cancer immunotherapy

提高癌症免疫治疗小鼠模型的可转化性

基本信息

批准号：
10414752
负责人：
ROSEMARY J AKHURST
金额：
$ 8.08万
依托单位：
UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
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：
2021-07-01 至 2022-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10414752
关键词：
Address Aftercare Alternative Therapies Antibodies Antitumor Response Attenuated Automobile Driving Biological Markers Blood specimen CD8-Positive T-Lymphocytes CTLA4 gene Cancer Model Cancer Patient Carcinoma Cell Count Cell physiology Cells Chemical Models Chemicals Clinical Clinical Treatment Clinical Trials Combined Modality Therapy Credentialing Data Development Distant Drug Combinations Drug Synergism Drug resistance Drug usage Eragrostis Event Evolution Failure Future Genetic Genetically Engineered Mouse Goals Head and Neck Squamous Cell Carcinoma Human Immune Immune checkpoint inhibitor Immunologic Surveillance Immunomodulators Immunotherapeutic agent Immunotherapy In Situ In complete remission Induced Mutation Knowledge Malignant Neoplasms MicroRNAs Minor Minority Modeling Molecular Multiplexed Ion Beam Imaging Mus Mutagens Mutation Myelogenous Neoplasm Metastasis Oncology Patients Pharmaceutical Preparations Property RNA Regulatory T-Lymphocyte Research Research Project Grants Resistance Role Sampling Single Nucleotide Polymorphism Site Testing Transforming Growth Factor beta Translational Research Translations Tumor Immunity Tumor Tissue Tumor-infiltrating immune cells anti-PD-1 antitumor effect base cancer immunotherapy cell type clinical material clinically relevant cytotoxic dimethylbenzanthracene driver mutation drug development experience human model immune checkpoint blockade improved in vivo Model interest melanoma mouse model neoantigens neoplastic cell novel novel therapeutics optimism patient response personalized medicine pre-clinical predictive marker predictive signature programmed cell death protein 1 response response biomarker skin squamous cell carcinoma success therapeutic development transcriptome transcriptome sequencing transcriptomics translational model tumor tumor microenvironment

项目摘要

ABSTRACT: One of greatest challenges in oncology is eradicating cancer once it has metastasized. Cancer immunotherapy (IMT) with checkpoint blockade drugs like α-PD1 has shown remarkable sustained complete responses in a subset of cancer patients. But even within sensitive tumor types such as melanoma, only around 25% of patients respond. Many challenges remain to fully capitalize on existing and novel drugs that reactivate anti- tumor immunity. There is, therefore, an urgent unmet need for mouse models that better reflect human cancer. Our goal is to utilize the well characterized chemically-induced cutaneous squamous cell carcinoma (cSCC) model to i) identify genetic features of tumors that establish IMT sensitivity, ii) define mechanisms and biomarkers of innate and acquired α-PD-1 drug resistance iii) define mechanisms of cooperation between αTGFβ and αPD1 therapy, and causes of failure. We will build on two novel and important observations that we have made: First, that a new α-panTGFβ antibody is as effective as IMT and cooperates with αPD-1 to double the IMT response rate, eliciting robust tumor rejection and sustained tumor immunity in the cSCC model. Secondly, just as in human cancers, we find that response to IMT is higher in chemically-induced cSCCs with high mutational single nucleotide variant (SNV) loads than those with low SNV load, including a genetically engineered mouse model (GEMM). In Aim 1 we will address how αTGFβ therapy enhances αPD-1 responses, by investigating drug effects on tumor immune cell numbers and function. We will validate our preliminary finding of Treg involvement in cooperativity between αPD1 and αTGFβ drugs using CyTO and MIBI analysis. We will also investigate involvement of other immune cell types, particularly myeloid, that may contribute to αTGFβ/αPD-1 drug cooperativity. In Aim 2, we will identify tumor cell genetic properties that determine IMT responses, and events driving development of IMT drug resistance, in a panel of independent DMBA/TPA induced syngeneic primary cSCC lines driven by distinct chemically-induced mutations of Kras or Hras. We will investigate effects of a) distinct Ras driver mutations b) SNV loads and neoantigen quality, and c) miRNA and RNA transcriptome profiles, on α-PD-1 and/or αTGFβ responses, and we will extend our studies into primary chemically induced sSCC, and validate the use of predictive biomarkers found in Aims 1 and 2 in this more realistic and heterogeneous model of human cancer. Finally, in Aim 3, we will validate our preclinical findings of mutational, transcriptomic and/or immune signatures predictive of IMT responses by interrogating pre-treatment and post-treatment clinical HNSCC samples from αPD-1 responding versus non-responding HNSCC patients under treatment at UCSF12-14. By project completion, we will have validated a translational model for IMT that may be utilized by others for novel IMT agent development, and for mechanistic studies that will provide personalized treatment options to cancer patients.

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