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Single-cell sequencing reveals the immune microenvironment landscape related to anti-PD-1 resistance in metastatic colorectal cancer with high microsatellite instability

微卫星不稳定性 结直肠癌 医学 癌症研究 肿瘤微环境 免疫组织化学 CD8型 免疫系统 流式细胞术 癌症 转录组 基因 病理 免疫学 生物 内科学 基因表达 微卫星 遗传学 等位基因
作者
Tao Wu,Xuan Zhang,Xinxing Liu,Xinyi Cai,Tao Shen,Dingguo Pan,Rui Liang,Rong Ding,Ruixi Hu,Jianhua Dong,Furong Li,Jinsha Li,Lin Xie,Chunlong Wang,Shilei Geng,Zhaoyu Yang,Lu Xing,Yunfeng Li
出处
期刊:BMC Medicine [BioMed Central]
卷期号:21 (1) 被引量:13
标识
DOI:10.1186/s12916-023-02866-y
摘要

Abstract Background The objective response rate of microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) patients with first-line anti-programmed cell death protein-1 (PD-1) monotherapy is only 40–45%. Single-cell RNA sequencing (scRNA-seq) enables unbiased analysis of the full variety of cells comprising the tumor microenvironment. Thus, we used scRNA-seq to assess differences among microenvironment components between therapy-resistant and therapy-sensitive groups in MSI-H/mismatch repair-deficient (dMMR) mCRC. Resistance-related cell types and genes identified by this analysis were subsequently verified in clinical samples and mouse models to further reveal the molecular mechanism of anti-PD-1 resistance in MSI-H or dMMR mCRC. Methods The response of primary and metastatic lesions to first-line anti-PD-1 monotherapy was evaluated by radiology. Cells from primary lesions of patients with MSI-H/dMMR mCRC were analyzed using scRNA-seq. To identify the marker genes in each cluster, distinct cell clusters were identified and subjected to subcluster analysis. Then, a protein‒protein interaction network was constructed to identify key genes. Immunohistochemistry and immunofluorescence were applied to verify key genes and cell marker molecules in clinical samples. Immunohistochemistry, quantitative real-time PCR, and western blotting were performed to examine the expression of IL-1β and MMP9. Moreover, quantitative analysis and sorting of myeloid-derived suppressor cells (MDSCs) and CD8 + T cells were performed using flow cytometry. Results Tumor responses in 23 patients with MSI-H/dMMR mCRC were evaluated by radiology. The objective response rate was 43.48%, and the disease control rate was 69.57%. ScRNA-seq analysis showed that, compared with the treatment-resistant group, the treatment-sensitive group accumulated more CD8 + T cells. Experiments with both clinical samples and mice indicated that infiltration of IL-1β-driven MDSCs and inactivation of CD8 + T cells contribute to anti-PD-1 resistance in MSI-H/dMMR CRC. Conclusions CD8 + T cells and IL-1β were identified as the cell type and gene, respectively, with the highest correlation with anti-PD-1 resistance. Infiltration of IL-1β-driven MDSCs was a significant factor in anti-PD-1 resistance in CRC. IL-1β antagonists are expected to be developed as a new treatment for anti-PD-1 inhibitor resistance.
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