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Single-cell transcriptome analysis reveals regulatory programs associated with tumor resistance during immunotherapy in colorectal cancer

免疫疗法 转录组 医学 结直肠癌 癌症研究 癌症 T细胞 免疫系统 癌症免疫疗法 细胞毒性T细胞 细胞 人口 免疫学 生物 基因表达 基因 内科学 遗传学 体外 环境卫生
作者
Yan Chen,Tao Liu,Guangtao Min,Cong Wang,Dali Xi,Lei Jiang
出处
期刊:International Journal of Surgery [Elsevier]
标识
DOI:10.1097/js9.0000000000003459
摘要

Background: Colorectal cancer (CRC), a predominant cancer type globally, is one of the most common cancers worldwide. Immhibune-checkpoint initors (ICIs) have robust efficacy in the treatment of patients with metastatic DNA mismatch repair (dMMR) CRC, however, some of the patients among them demonstrate resistance to immunotherapy, the underlying molecular mechanisms remain elusive. Methods: Using single-cell sequencing data, we identified and annotated cell populations, systematically comparing cell proportions and gene expression changes across different groups. Gene set enrichment analysis (GSEA) was conducted to identify significantly enriched signaling pathways in T cell subpopulations. Furthermore, we assessed the impact of transcriptional dysregulation in TSTR and γδ_T cells on tumor immunotherapy responses and drug resistance. The potential role of T cell subset interactions in modulating drug resistance and sensitivity was investigated through comprehensive cell communication analysis. Lastly, clinical samples from 190 CRC patients were collected, with paired adjacent normal tissues. Immunohistochemistry (IHC) was performed using antibodies against FOS and KLRB1. Results: T cells were identified as the predominant cell population influencing immunotherapy outcomes. T cell subsets exhibited distinct functional characteristics, with notable differences in their distribution between resistant and sensitive tumor groups. Specifically, exhausted T cells (Tex), GZMK + T, TSTR, regulatory T cells (Treg), and γδ_T cells were associated with therapeutic resistance. For Tex and GZMK + T cells, resistance was correlated with activation of antigen processing and presentation pathways, whereas oxidative stress pathways were downregulated. In contrast, γδ_T cells in the sensitive group exhibited activation of protein folding pathways, which may contribute to anti-tumor immune responses. Transcriptional network dysregulation in TSTR and γδ_T cells was observed in the drug-resistant group. Cell-to-cell communication analysis showed stronger interactions among T cell subpopulations, with changes in key signaling pathways linked to treatment resistance. Additionally, downregulation of the CD69-KLRB1 signaling pathway was identified as a potential mechanism of drug resistance in CRC. Lastly, high expression of FOS was significantly associated with a worse prognosis, whereas high expression of KLRB1 predicted improved clinical outcomes, including prolonged overall survival and progression-free survival, and emerged as an independent prognostic factor for CRC patients. Conclusion: This study highlights the pivotal role of T cell subsets in patients with metastatic dMMR CRC who resistance to anti-PD-1 therapy, revealing that transcriptional dysregulation and impaired cell communication networks are central mechanisms underlying drug resistance. Notably, KLRB1 has been identified as a promising biomarker for immunotherapy response in CRC patients.
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