Comprehensive profiling the immune-status of a broad range of in vivo syngeneic models to support IO development and to accurately predict clinical benefit of therapy

Author:

Li Wentao1,Li Qiuliang1,Li Guannan1,Xiu Jinghui1,Li Xiaodong1,Zhang Lu1,Ning Chunhong1,Yun Wei1,Huang Jingqi1

Affiliation:

1. Pharmaron Beijing, Co. Ltd

Abstract

Abstract Latterly with approval of PD-1, PD-L1 antibodies in clinical oncology, immunotherapy has gained recognition for changing the way of cancer treatment by joining chemotherapy, radiation and surgery. Murine syngeneic tumor models are critical to novel immuno-based therapy development. Therefore, understood the nature immune status and tumor microenvironment of in vivo tumor models is very important to assist exploring immunotherapy. However, the translational relevance of differences between the models is not fully understanding. Herein, we extensively characterize various murine syngeneic tumor models, which revealed striking differences in immune status and tumor microenvironment. These will contribute to appropriate preclinical model selection for target validation and drug development. In this study, nearly 51 tumor cell lines over a broad range of tumor types as well as corresponding in vivo syngeneic models were intensively studied on their immune status under two conditions that tumor volume were 100 mm3 and 500 to 600 mm3. The effort has been focusing on the immune status including T cell status and levels of immune-suppression via FACS analysis of the population of CD45+ TILs, CD4+ T cell, CD8+ T cell, Tregs, MDSCs, macrophage. Furthermore, the expressions of immune related genes were analyzed by RT-PCR. The profiling data illustrated the expression of these genes are different on different tumor models. We believe that this profiling data will help many scientists to properly select correct model to support R&D and better understand how immune therapeutically agent acts in the immune system.

Publisher

Research Square Platform LLC

Reference26 articles.

1. Five-year survival rates for treatment-naive patients with advanced melanoma who received ipilimumab plus dacarbazine in a phase III trial;Maio M;J Clin Oncol,2015

2. Nivolumab versus Docetaxel in Advanced Squamous-Cell Non-Small-Cell Lung Cancer;Brahmer J;NEngl J Med,2015

3. Herbst RS, Baas P, Kim DW, Felip E, Perez-Gracia JL, Han JY, et al. Pembrolizumab versus docetaxel for previously treated, PD-L1-positive, advanced non-small-cell lung cancer (KEYNOTE-010): a randomised controlled trial. Lancet. 2015 Dec 18.

4. Expression of immune inhibitory receptor ILT3 in acute myeloid leukemia with monocytic differentiation;DobrowolskaH GillKZ;CytometryBClinCytom,2013

5. CTLA-4 blockade in tumor models: an overview of preclinical and translational research;Grosso JF;Cancer Immun,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3