505 High-dimensional analyses of intratumoral myeloid cells highlights presence of distinct myeloid cell phenotypes in immune checkpoint-sensitive and resistant tumors

Swetha Anandhan, S. Goswami, Shelley M Herbrich, Yu-long Chen, P. Sharma
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Abstract

Background Immune checkpoint therapy (ICT) has revolution-ized cancer treatment, however, has produced around 20% durable clinical response rates. 1 Multiple studies demonstrate myeloid cell abundance and function in the tumor microenvir-onment (TME) correlates with poor outcome in ICT resistant cancers. 2, 3 Despite the wealth of knowledge regarding the biology of these cells, our ability to distinguish immune-sup-pressive versus immune-stimulatory myeloid cells remains a major challenge and, thus, targeting myeloid cells has had lim-ited clinical success. Our objective is to better understand the phenotype of these immunosuppressive myeloid cells to identify potential combination strategies to improve response to ICT. Methods Comparative analyses of intratumoral myeloid cell subsets was performed in orthotopic murine models of ICT sensitive (B16F10 melanoma) and resistant (MT4 pancreatic) tumors at baseline and post ICT treatment (anti-PD-1 and/or anti-CTLA-4 antibodies) using single cell RNA sequencing (scRNAseq). To determine myeloid cell evolution with tumor progression, longitudinal scRNAseq was performed on MT4 tumors.
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505肿瘤内骨髓细胞的高维分析突出了免疫检查点敏感和耐药肿瘤中不同骨髓细胞表型的存在
然而,免疫检查点疗法(ICT)已经彻底改变了癌症治疗,产生了约20%的持久临床反应率。多项研究表明,骨髓细胞在肿瘤微环境(TME)中的丰度和功能与ICT耐药癌症的不良预后相关。2,3尽管关于这些细胞的生物学知识丰富,但我们区分免疫抑制与免疫刺激骨髓细胞的能力仍然是一个主要挑战,因此,针对骨髓细胞的临床成功有限。我们的目标是更好地了解这些免疫抑制骨髓细胞的表型,以确定潜在的联合策略,以改善对ICT的反应。方法采用单细胞RNA测序(scRNAseq)对ICT敏感(B16F10黑色素瘤)和耐药(MT4胰腺)肿瘤原位小鼠模型进行基线和ICT治疗后(抗pd -1和/或抗ctla -4抗体)的瘤内骨髓细胞亚群进行比较分析。为了确定骨髓细胞随肿瘤进展的进化,对MT4肿瘤进行了纵向scRNAseq。
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