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 (H(2) between 0.18-0.40). For the MC38 colorectal carcinoma system (H(2) = 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.
Mapping the genetic landscape establishing a tumor immune microenvironment favorable for anti-PD-1 response in mice and humans.
绘制小鼠和人类肿瘤免疫微环境的遗传图谱,以建立有利于抗PD-1反应的肿瘤免疫微环境
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作者: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
| 期刊: | bioRxiv | 影响因子: | 0.000 |
| 时间: | 2024 | 起止号: | 2024 Jul 16 |
| doi: | 10.1101/2024.07.11.603136 | 研究方向: | 肿瘤 |
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