@article{Ma2025, 
author = {Yong-Jing Ma and Yuan-Chen Sun and Lu Wang and Wan-Xing Xu and Xiao-Dan Fan and Jun Ding and Christopher Heeschen and Wen-Juan Wu and Xiao-Qi Zheng and Ning-Ning Liu},
title = {Dissection of intratumor microbiome–host interactions at the single-cell level in lung cancer},
year = {2025},
journal = {hLife},
volume = {3},
number = {8},
pages = {391-406},
keywords = {lung cancer, intratumor microbiome, microbiome–host interaction, single-cell analysis},
url = {https://www.sciopen.com/article/10.1016/j.hlife.2024.09.001},
doi = {10.1016/j.hlife.2024.09.001},
abstract = {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.}
}