Dynamic Proteomic Changes in Tumor and Immune Organs Reveal Systemic Immune Response to Tumor Development.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2024-05-01 Epub Date: 2024-03-28 DOI:10.1016/j.mcpro.2024.100756
Zhike Li, Shuwen Liu, Zhouyong Gao, Linlin Ji, Jiaqi Jiao, Nairen Zheng, Xianju Li, Guangshun Wang, Jun Qin, Yi Wang
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引用次数: 0

Abstract

In orthotopic mouse tumor models, tumor progression is a complex process, involving interactions among tumor cells, host cell-derived stromal cells, and immune cells. Much attention has been focused on the tumor and its tumor microenvironment, while the host's macroenvironment including immune organs in response to tumorigenesis is poorly understood. Here, we report a temporal proteomic analysis on a subcutaneous tumor and three immune organs (LN, MLN, and spleen) collected on Days 0, 3, 7, 10, 14, and 21 after inoculation of mouse forestomach cancer cells in a syngeneic mouse model. Bioinformatics analysis identified key biological processes during distinct tumor development phases, including an initial acute immune response, the attack by the host immune system, followed by the adaptive immune activation, and the build-up of extracellular matrix. Proteomic changes in LN and spleen largely recapitulated the dynamics of the immune response in the tumor, consistent with an acute defense response on D3, adaptive immune response on D10, and immune evasion by D21. In contrast, the immune response in MLN showed a gradual and sustained activation, suggesting a delayed response from a distal immune organ. Combined analyses of tumors and host immune organs allowed the identification of potential therapeutic targets. A proof-of-concept experiment demonstrated that significant growth reduction can be achieved by dual inhibition of MEK and DDR2. Together, our temporal proteomic dataset of tumors and immune organs provides a useful resource for understanding the interaction between tumors and the immune system and has the potential for identifying new therapeutic targets for cancer treatment.

肿瘤和免疫器官的动态蛋白质组变化揭示了肿瘤发生的全身免疫反应。
在正位小鼠肿瘤模型中,肿瘤进展是一个复杂的过程,涉及肿瘤细胞、宿主细胞衍生的基质细胞和免疫细胞之间的相互作用。人们的注意力主要集中在肿瘤及其肿瘤微环境上,而对宿主的大环境(包括免疫器官)在肿瘤发生过程中的反应却知之甚少。在这里,我们报告了在共生小鼠模型中接种小鼠森林胃癌(MFC)细胞后的第 0、3、7、10、14 和 21 天收集的皮下肿瘤和三个免疫器官(LN、MLN 和脾脏)的时间蛋白质组分析。生物信息学分析确定了不同肿瘤发生阶段的关键生物过程,包括最初的急性免疫反应、宿主免疫系统的攻击、随后的适应性免疫激活和细胞外基质的形成。LN和脾脏的蛋白质组变化在很大程度上再现了肿瘤免疫反应的动态变化,与D3的急性防御反应、D10的适应性免疫反应和D21的免疫逃避相一致。与此相反,MLN 中的免疫反应表现出逐渐和持续的激活,这表明来自远端免疫器官的反应是延迟的。通过对肿瘤和宿主免疫器官的综合分析,可以确定潜在的治疗靶点。一项概念验证实验表明,通过对 MEK 和 DDR2 的双重抑制,可以显著减少肿瘤的生长。我们的肿瘤和免疫器官时空蛋白质组数据集为了解肿瘤和免疫系统之间的相互作用提供了有用的资源,并有可能为癌症治疗确定新的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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