Dissection of intratumor microbiome–host interactions at the single-cell level in lung cancer
The intratumor microbiome, one of the hallmarks of cancer, plays a crucial role in cancer progression through its interaction with the host. However, the underlying mechanisms remain poorly understood. In this study, six publicly available single-cell transcriptomic lung cancer datasets (comprising...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | hLife |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949928324000750 |
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| Summary: | The intratumor microbiome, one of the hallmarks of cancer, plays a crucial role in cancer progression through its interaction with the host. However, the underlying mechanisms remain poorly understood. In this study, six publicly available single-cell transcriptomic lung cancer datasets (comprising 178 samples) from multiple centers (Shanghai, New York, Seoul) were integrated to investigate the heterogeneity of host–microbiome interactions at the single-cell level using single-cell analysis of host–microbiome interactions (SAHMI). The results indicate that primary tumor tissues have a high proportion of fungi-associated cells, whereas metastatic brain tissues predominantly contain bacteria-associated cells. There are also distinct microbial distributions across cell types. Notably, the presence of specific bacteria significantly influences the transcriptome of resident host cells, including T cells and macrophages, by modulating pathways related to ribosomal RNA (rRNA) processing, cellular responses to stress and stimuli, and RNA and protein metabolism. Finally, specific cell-associated bacteria are significantly correlated with clinical features, such as lung cancer stages and smoking frequency. These single-cell insights into microbiome–host interactions improve current understanding about lung cancer development and progression and offer potential micro-ecological and diagnostic insights. |
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| ISSN: | 2949-9283 |