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整合单细胞分析人类结直肠癌揭示具有不同免疫逃逸机制的患者分层。

Integrative single-cell analysis of human colorectal cancer reveals patient stratification with distinct immune evasion mechanisms.

机构信息

Changping Laboratory, Beijing, China.

Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.

出版信息

Nat Cancer. 2024 Sep;5(9):1409-1426. doi: 10.1038/s43018-024-00807-z. Epub 2024 Aug 15.


DOI:10.1038/s43018-024-00807-z
PMID:39147986
Abstract

The tumor microenvironment (TME) considerably influences colorectal cancer (CRC) progression, therapeutic response and clinical outcome, but studies of interindividual heterogeneities of the TME in CRC are lacking. Here, by integrating human colorectal single-cell transcriptomic data from approximately 200 donors, we comprehensively characterized transcriptional remodeling in the TME compared to noncancer tissues and identified a rare tumor-specific subset of endothelial cells with T cell recruitment potential. The large sample size enabled us to stratify patients based on their TME heterogeneity, revealing divergent TME subtypes in which cancer cells exploit different immune evasion mechanisms. Additionally, by associating single-cell transcriptional profiling with risk genes identified by genome-wide association studies, we determined that stromal cells are major effector cell types in CRC genetic susceptibility. In summary, our results provide valuable insights into CRC pathogenesis and might help with the development of personalized immune therapies.

摘要

肿瘤微环境(TME)极大地影响了结直肠癌(CRC)的进展、治疗反应和临床结局,但目前缺乏关于 CRC 中 TME 个体间异质性的研究。在这里,我们通过整合来自大约 200 位供体的人类结直肠单细胞转录组数据,全面描述了 TME 与非癌组织相比的转录重编程,并鉴定出具有招募 T 细胞潜力的罕见肿瘤特异性内皮细胞亚群。大样本量使我们能够根据 TME 异质性对患者进行分层,揭示了不同的 TME 亚型,其中癌细胞利用不同的免疫逃避机制。此外,通过将单细胞转录谱与全基因组关联研究确定的风险基因相关联,我们确定基质细胞是 CRC 遗传易感性的主要效应细胞类型。总之,我们的研究结果为 CRC 的发病机制提供了有价值的见解,并可能有助于开发个性化免疫疗法。

相似文献

[1]
Integrative single-cell analysis of human colorectal cancer reveals patient stratification with distinct immune evasion mechanisms.

Nat Cancer. 2024-9

[2]
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[3]
Single-cell analyses reveal suppressive tumor microenvironment of human colorectal cancer.

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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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引用本文的文献

[1]
Prospects for personalized cancer treatment in the era of single-cell sequencing.

Nat Rev Genet. 2025-8-20

[2]
Prognostic and therapeutic implications related to glycosylation profiles of cancer-associated fibroblasts in colorectal cancer: insights from single-cell and bulk transcriptomics.

Funct Integr Genomics. 2025-8-15

[3]
Mitochondrial metabolic reprogramming in colorectal cancer: mechanisms of resistance and future clinical interventions.

Cell Death Discov. 2025-8-9

[4]
Tumor Evolution Driving Genome Instability, Immune Interactions, and Response to Radiotherapy.

Cancer J. 2025

[5]
Role of T cell exhaustion and tissue-resident memory T cells in the expression and prognosis of colorectal cancer.

Sci Rep. 2025-8-5

[6]
Exploring the role of neutrophil extracellular traps in colorectal cancer: Insights from single-cell sequencing.

World J Gastrointest Oncol. 2025-7-15

[7]
Deciphering cancer therapy resistance via patient-level single-cell transcriptomics with CellResDB.

Commun Biol. 2025-7-15

[8]
Deciphering lactate metabolism in colorectal cancer: Prognostic modeling, immune infiltration, and gene mutation insights.

World J Gastroenterol. 2025-7-7

[9]
Spatially resolved C1QC macrophage-CD4 T cell niche in colorectal cancer microenvironment: implications for immunotherapy response.

Cell Discov. 2025-7-1

[10]
Interferon-responsive HEVs drive tumor tertiary lymphoid structure formation and predict immunotherapy response in nasopharyngeal carcinoma.

Cell Rep Med. 2025-7-15

本文引用的文献

[1]
A pan-cancer single-cell panorama of human natural killer cells.

Cell. 2023-9-14

[2]
Evolution of immune and stromal cell states and ecotypes during gastric adenocarcinoma progression.

Cancer Cell. 2023-8-14

[3]
Intratumoral dendritic cell-CD4 T helper cell niches enable CD8 T cell differentiation following PD-1 blockade in hepatocellular carcinoma.

Nat Med. 2023-6

[4]
Identification of a tumour immune barrier in the HCC microenvironment that determines the efficacy of immunotherapy.

J Hepatol. 2023-4

[5]
Spatial and single-cell transcriptomics decipher the cellular environment containing HLA-G+ cancer cells and SPP1+ macrophages in colorectal cancer.

Cell Rep. 2023-1-31

[6]
Transformer for one stop interpretable cell type annotation.

Nat Commun. 2023-1-14

[7]
Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment.

Genome Biol. 2022-12-22

[8]
Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries.

Nat Genet. 2023-1

[9]
Cancer immunotherapies transition endothelial cells into HEVs that generate TCF1 T lymphocyte niches through a feed-forward loop.

Cancer Cell. 2022-12-12

[10]
Metastatic recurrence in colorectal cancer arises from residual EMP1 cells.

Nature. 2022-11

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