Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans

bioRxiv Pub Date : 2024-07-16 DOI:10.1101/2024.07.11.603136
Daniel A. Skelly, John P Graham, Mingshan Cheng, Mayuko Furuta, Andrew Walter, Thomas A. Stoklasek, Hongyuan Yang, Timothy M. Stearns, Olivier Poirion, Ji-Gang Zhang, J. Grassmann, D. Luo, William F. Flynn, Elise T. Courtois, Chih-Hao Chang, D. Serreze, F. Menghi, L. Reinholdt, Edison T. Liu
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Abstract

Identifying host genetic factors modulating immune checkpoint inhibitor (ICI) efficacy has been experimentally challenging because of variations in both host and tumor genomes, differences in the microbiome, and patient life exposures. Utilizing the Collaborative Cross (CC) multi-parent mouse genetic resource population, we developed an approach that fixes the tumor genomic configuration while varying host genetics. With this approach, we discovered that response to anti-PD-1 (aPD1) immunotherapy was significantly heritable in four distinct murine tumor models (H2 between 0.18-0.40). For the MC38 colorectal carcinoma system (H2 = 0.40), we mapped four significant ICI response quantitative trait loci (QTL) localized to mouse chromosomes (mChr) 5, 9, 15 and 17, and identified significant epistatic interactions between specific QTL pairs. Differentially expressed genes within these QTL were highly enriched for immune genes and pathways mediating allograft rejection and graft vs host disease. Using a cross species analytical approach, we found a core network of 48 genes within the four QTLs that showed significant prognostic value for overall survival in aPD1 treated human cohorts that outperformed all other existing validated immunotherapy biomarkers, especially in human tumors of the previously defined immune subtype 4. Functional blockade of two top candidate immune targets within the 48 gene network, GM-CSF and high affinity IL-2/IL-15 signaling, completely abrogated the MC38 tumor transcriptional response to aPD1 therapy in vivo. Thus, we have established a powerful cross species in vivo platform capable of uncovering host genetic factors that establish the tumor immune microenvironment configuration propitious for ICI response.
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绘制有利于小鼠和人类抗 PD-1 反应的肿瘤免疫微环境遗传图谱
由于宿主和肿瘤基因组的变异、微生物组的差异以及患者生活暴露的不同,鉴定调节免疫检查点抑制剂(ICI)疗效的宿主遗传因素在实验上一直具有挑战性。利用协作杂交(CC)多亲本小鼠遗传资源群体,我们开发了一种在改变宿主基因的同时固定肿瘤基因组结构的方法。通过这种方法,我们发现在四种不同的小鼠肿瘤模型中,对抗PD-1(aPD1)免疫疗法的反应具有显著的遗传性(H2在0.18-0.40之间)。对于 MC38 大肠癌系统(H2 = 0.40),我们绘制了四个显著的 ICI 反应定量性状位点(QTL),分别位于小鼠染色体(mChr)5、9、15 和 17 上,并确定了特定 QTL 对之间显著的表观相互作用。这些 QTL 中的差异表达基因高度富集于介导异体移植物排斥反应和移植物与宿主疾病的免疫基因和通路。利用跨物种分析方法,我们在四个 QTL 中发现了一个由 48 个基因组成的核心网络,这些基因对接受 aPD1 治疗的人类队列中的总生存期具有显著的预后价值,其表现优于所有其他现有的经过验证的免疫疗法生物标志物,尤其是在先前定义的免疫亚型 4 的人类肿瘤中。对 48 基因网络中的两个顶级候选免疫靶点 GM-CSF 和高亲和性 IL-2/IL-15 信号转导进行功能性阻断,可完全消除 MC38 肿瘤在体内对 aPD1 治疗的转录反应。因此,我们建立了一个功能强大的跨物种体内平台,能够揭示建立有利于 ICI 反应的肿瘤免疫微环境配置的宿主遗传因素。
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