Jingjing Deng, Wenlong Kuang, Wenjuan Chen, En Zhou, Yali Wu, Zimo Yang, Jiangbin Chen, Xinghui Cao, Zhengrong Yin, Jiatong Liu, Minglei Li, Feng Wu, Jinshuo Fan, Mengfei Guo, Yang Jin
The intratumoral microbiome plays a crucial role in cancer progression, prompting the development of therapies targeting it. However, due to the heterogeneous effects of intratumoral microbes, designing treatments tailored to the unique microecological characteristics of individual tumors poses a significant challenge. Here, we identified significant variations in the abundance of five bacterial genera— Lysinibacillus , Stenotrophomonas , Weissella , Comamonas , and Aeromonas —between lung adenocarcinoma (LUAD) and normal tissues by analyzing single-cell transcriptomic datasets. These specific bacterial clusters were significantly associated with immune infiltrates in the tumor microenvironment (TME). After confirming their effects in mouse models, we identified these bacteria as potential therapeutic targets. Through in vitro drug screening assays, we identified berberine as a promising agent that selectively inhibits harmful bacteria while sparing beneficial ones. To address berberine's low solubility and tumor targeting issues, we encapsulated it into tumor cell-derived extracellular vesicles (EV-ber). Feature analysis demonstrated that EV-ber shifted the intratumoral microbiome profile toward an anti-tumor phenotype and enhanced anti-tumor immunity in the TME. Furthermore, EV-ber administration inhibited LUAD growth, impaired LUAD metastatic ability, and boosted the effectiveness of anti-PD-L1 immunotherapy in mouse models. In conclusion, this work demonstrates the potential of personalized intratumoral microbial re-education strategies in LUAD therapy.