Chenchen Li, Peicong Cai, Hengda Zeng, Jianxia Li, Huabin Hu, Jianwei Zhang, Zehua Wu, Ge Qin, Yanhong Deng
{"title":"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。","authors":"Chenchen Li, Peicong Cai, Hengda Zeng, Jianxia Li, Huabin Hu, Jianwei Zhang, Zehua Wu, Ge Qin, Yanhong Deng","doi":"10.2147/OTT.S538018","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Patients and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":19534,"journal":{"name":"OncoTargets and therapy","volume":"18 ","pages":"1027-1042"},"PeriodicalIF":2.8000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12452990/pdf/","citationCount":"0","resultStr":"{\"title\":\"Glycolysis-Driven Immune Evasion in Microsatellite Instability-High Colorectal Cancer: An Integrated Single-Cell and Spatial Transcriptomics Study.\",\"authors\":\"Chenchen Li, Peicong Cai, Hengda Zeng, Jianxia Li, Huabin Hu, Jianwei Zhang, Zehua Wu, Ge Qin, Yanhong Deng\",\"doi\":\"10.2147/OTT.S538018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>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.</p><p><strong>Patients and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":19534,\"journal\":{\"name\":\"OncoTargets and therapy\",\"volume\":\"18 \",\"pages\":\"1027-1042\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12452990/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OncoTargets and therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/OTT.S538018\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OncoTargets and therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/OTT.S538018","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
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.
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.