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免疫细胞衰老和衰竭通过调节上皮-间充质转化促进结直肠癌肝转移的发生。

Immune cell senescence and exhaustion promote the occurrence of liver metastasis in colorectal cancer by regulating epithelial-mesenchymal transition.

机构信息

The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.

The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.

出版信息

Aging (Albany NY). 2024 Apr 26;16(9):7704-7732. doi: 10.18632/aging.205778.

DOI:10.18632/aging.205778
PMID:38683136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11132022/
Abstract

BACKGROUND

Liver metastasis (LM) stands as a primary cause of mortality in metastatic colorectal cancer (mCRC), posing a significant impediment to long-term survival benefits from targeted therapy and immunotherapy. However, there is currently a lack of comprehensive investigation into how senescent and exhausted immune cells contribute to LM.

METHODS

We gathered single-cell sequencing data from primary colorectal cancer (pCRC) and their corresponding matched LM tissues from 16 mCRC patients. In this study, we identified senescent and exhausted immune cells, performed enrichment analysis, cell communication, cell trajectory, and cell-based experiments to validate the results of single-cell multi-omics. This process allowed us to construct a regulatory network explaining the occurrence of LM. Finally, we utilized weighted gene co-expression network analysis (WGCNA) and 12 machine learning algorithms to create prognostic risk model.

RESULTS

We identified senescent-like myeloid cells (SMCs) and exhausted T cells (TEXs) as the primary senescent and exhausted immune cells. Our findings indicate that SMCs and TEXs can potentially activate transcription factors downstream via ANGPTL4-SDC1/SDC4, this activation plays a role in regulating the epithelial-mesenchymal transition (EMT) program and facilitates the development of LM, the results of cell-based experiments have provided confirmation of this conclusion. We also developed and validated a prognostic risk model composed of 12 machine learning algorithms.

CONCLUSION

This study elucidates the potential molecular mechanisms underlying the occurrence of LM from various angles through single-cell multi-omics analysis in CRC. It also constructs a network illustrating the role of senescent or exhausted immune cells in regulating EMT.

摘要

背景

肝转移(LM)是转移性结直肠癌(mCRC)患者死亡的主要原因,它极大地阻碍了靶向治疗和免疫治疗带来的长期生存获益。然而,目前尚缺乏对衰老和耗竭免疫细胞如何促进 LM 形成的全面研究。

方法

我们从 16 名 mCRC 患者的原发结直肠癌(pCRC)及其相应匹配的 LM 组织中收集了单细胞测序数据。在这项研究中,我们鉴定了衰老和耗竭的免疫细胞,进行了富集分析、细胞通讯、细胞轨迹和细胞实验,以验证单细胞多组学的结果。这一过程使我们能够构建一个解释 LM 发生的调控网络。最后,我们利用加权基因共表达网络分析(WGCNA)和 12 种机器学习算法创建了预后风险模型。

结果

我们鉴定出衰老样髓系细胞(SMCs)和耗竭 T 细胞(TEXs)作为主要的衰老和耗竭免疫细胞。我们的研究结果表明,SMCs 和 TEXs 可以通过 ANGPTL4-SDC1/SDC4 潜在地激活下游转录因子,这种激活在调节上皮-间充质转化(EMT)程序中发挥作用,并促进 LM 的发生,细胞实验的结果证实了这一结论。我们还开发并验证了由 12 种机器学习算法组成的预后风险模型。

结论

本研究通过 CRC 的单细胞多组学分析,从多个角度阐明了 CRC 中 LM 发生的潜在分子机制,并构建了一个表明衰老或耗竭免疫细胞在调节 EMT 中作用的网络。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e41/11132022/6686924b9011/aging-16-205778-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e41/11132022/e5c54a53be93/aging-16-205778-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e41/11132022/cf339a0c979a/aging-16-205778-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e41/11132022/6e7dbd3e5f25/aging-16-205778-g008.jpg
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T Cell Exhaustion.T细胞耗竭
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Senescent alveolar macrophages promote early-stage lung tumorigenesis.衰老的肺泡巨噬细胞促进早期肺癌的发生。
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