Skelly Daniel A, Graham John P, Cheng Mingshan, Furuta Mayuko, Walter Andrew, Stoklasek Thomas A, Yang Hongyuan, Stearns Timothy M, Poirion Olivier, Zhang Ji-Gang, Grassmann Jessica D S, Luo Diane, Flynn William F, Courtois Elise T, Chang Chih-Hao, Serreze David V, Menghi Francesca, Reinholdt Laura G, Liu Edison T
The Jackson Laboratory for Mammalian Genetics, Bar Harbor, ME, USA.
The Jackson Laboratory, Sacramento, CA, USA.
bioRxiv. 2024 Jul 16:2024.07.11.603136. doi: 10.1101/2024.07.11.603136.
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 ( between 0.18-0.40). For the MC38 colorectal carcinoma system ( = 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 . Thus, we have established a powerful cross species platform capable of uncovering host genetic factors that establish the tumor immune microenvironment configuration propitious for ICI response.
由于宿主和肿瘤基因组的变异、微生物组的差异以及患者的生活暴露情况,识别调节免疫检查点抑制剂(ICI)疗效的宿主遗传因素在实验上具有挑战性。利用协作杂交(CC)多亲小鼠遗传资源群体,我们开发了一种方法,在改变宿主遗传学的同时固定肿瘤基因组配置。通过这种方法,我们发现在四种不同的小鼠肿瘤模型中,对抗程序性死亡蛋白1(aPD1)免疫疗法的反应具有显著的遗传性(0.18 - 0.40之间)。对于MC38结直肠癌系统( = 0.40),我们定位了四个显著的ICI反应数量性状位点(QTL),定位于小鼠染色体(mChr)5、9、15和17,并确定了特定QTL对之间的显著上位性相互作用。这些QTL内差异表达的基因高度富集于介导同种异体移植排斥和移植物抗宿主病的免疫基因和途径。使用跨物种分析方法,我们在四个QTL内发现了一个由48个基因组成的核心网络,该网络对接受aPD1治疗的人类队列的总生存期显示出显著的预后价值,优于所有其他现有的经过验证的免疫治疗生物标志物,尤其是在先前定义的免疫亚型4的人类肿瘤中。对48基因网络中两个顶级候选免疫靶点粒细胞-巨噬细胞集落刺激因子(GM-CSF)和高亲和力白细胞介素-2/白细胞介素-15信号进行功能阻断,完全消除了MC38肿瘤对aPD1治疗的转录反应。因此,我们建立了一个强大的跨物种平台,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。