微卫星不稳定性高的结直肠癌中糖酵解驱动的免疫逃避:一项综合单细胞和空间转录组学研究。

IF 2.8 4区 医学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
OncoTargets and therapy Pub Date : 2025-09-18 eCollection Date: 2025-01-01 DOI:10.2147/OTT.S538018
Chenchen Li, Peicong Cai, Hengda Zeng, Jianxia Li, Huabin Hu, Jianwei Zhang, Zehua Wu, Ge Qin, Yanhong Deng
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引用次数: 0

摘要

目的:微卫星不稳定性-高结直肠癌以基因组高突变和高新抗原负荷为特征,但相当一部分患者对免疫检查点封锁表现出耐药性。本研究旨在探讨肿瘤细胞功能异质性及其在免疫逃避中的作用。患者和方法:我们整合了来自微卫星不稳定性高的结直肠癌患者的单细胞RNA测序、空间转录组学和大量RNA测序。经过质量控制、归一化和聚类,通过拷贝数变异分析和非负矩阵分解鉴定出恶性上皮亚群。功能表征采用基因集富集分析。空间转录组学阐明了免疫细胞和肿瘤亚群定位,生存分析评估了预后意义。结果:我们发现了一个糖酵解富集的肿瘤亚群(MP2),它与Treg积累、效应t细胞耗竭和FOLR2+肿瘤相关巨噬细胞标记的免疫抑制生态位共定位。mp2高的肿瘤与免疫检查点阻断抵抗和预后不良相关。从机制上讲,MP2细胞分泌乳酸,促进Treg分化和巨噬细胞极化,形成免疫抑制表型。空间转录组学揭示了肿瘤内这些富含乳酸的、免疫排斥的生态位的精确组织。结论:这些发现表明肿瘤细胞内糖酵解是微卫星不稳定性高的结直肠癌免疫逃避的关键驱动因素,并提出代谢靶向作为克服免疫检查点阻断抵抗的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Glycolysis-Driven Immune Evasion in Microsatellite Instability-High Colorectal Cancer: An Integrated Single-Cell and Spatial Transcriptomics Study.

Purpose: Microsatellite instability-high colorectal cancer is characterized by hypermutated genomes and high neoantigen loads, yet a significant proportion of patients exhibit resistance to immune checkpoint blockade. This study aims to investigate tumor cell functional heterogeneity and its role in immune evasion.

Patients and methods: We integrated single-cell RNA sequencing, spatial transcriptomics, and bulk RNA sequencing from microsatellite instability-high colorectal cancer patients. After quality control, normalization, and clustering, malignant epithelial subpopulations were identified through copy number variation analysis and non-negative matrix factorization. Functional characterization employed gene set enrichment analysis. Spatial transcriptomics clarified immune cell and tumor subpopulation localization, and survival analyses assessed prognostic implications.

Results: We identified a glycolysis-enriched tumor subpopulation (MP2) that co-localized with immunosuppressive niches marked by Treg accumulation, effector T-cell depletion, and FOLR2+ tumor-associated macrophages. MP2-high tumors were associated with immune checkpoint blockade resistance and poor prognosis. Mechanistically, MP2 cells secreted lactate, promoting Treg differentiation and macrophage polarization toward an immunosuppressive phenotype. Spatial transcriptomics revealed the precise organization of these lactate-rich, immune-excluded niches within tumors.

Conclusion: These findings establish tumor cell-intrinsic glycolysis as a key driver of immune evasion in microsatellite instability-high colorectal cancer and propose metabolic targeting as a strategy to overcome immune checkpoint blockade resistance.

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来源期刊
OncoTargets and therapy
OncoTargets and therapy BIOTECHNOLOGY & APPLIED MICROBIOLOGY-ONCOLOGY
CiteScore
9.70
自引率
0.00%
发文量
221
审稿时长
1 months
期刊介绍: OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer. The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype. Specific topics covered by the journal include: -Novel therapeutic targets and innovative agents -Novel therapeutic regimens for improved benefit and/or decreased side effects -Early stage clinical trials Further considerations when submitting to OncoTargets and Therapy: -Studies containing in vivo animal model data will be considered favorably. -Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines. -Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples. -Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up. -Single nucleotide polymorphism (SNP) studies will not be considered.
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