Jang Jeong Yun, Seo Ji Hoon, Choi Jae Jun, Ryu Hyun Jin, Yun Hyunjun, Ha Dong Myeong, Yang Jinho
Department of Radiation Oncology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Republic of Korea.
Department of Environmental Health, Korea University, Seoul 02841, Republic of Korea.
Int J Mol Med. 2025 Aug;56(2). doi: 10.3892/ijmm.2025.5560. Epub 2025 Jun 6.
The complexity of lung cancer, driven by multifactorial causes such as genetic, environmental and lifestyle factors, underscores the necessity for tailored treatment strategies informed by recent advancements. Studies highlight a significant association between the lung microbiome and lung cancer, with dysbiosis potentially contributing to disease development via inflammation, immune response alterations and bacterial metabolite production. Furthermore, exposure to airborne bacteria may influence lung health by introducing pathogenic species or altering the human microbiome, thereby implicating certain dominant airborne bacteria in lung diseases, including the exacerbation of lung cancer. Extracellular vesicles (EVs) facilitate cell‑to‑cell communication, penetrating mucosal barriers to impact various organs, notably the lung. Epidemiological evidence suggests a strong relationship between the presence of microbial EVs (MEVs) in the air and chronic pulmonary diseases, with indications of a potential risk for lung cancer. MEVs play a significant role in pulmonary disease development by inducing airway inflammation and affecting lung function. The microbiome and MEVs offer considerable potential as novel tools in precision medicine for lung cancer. Biological data analysis and artificial intelligence technology advancements are pivotal for fully realizing their diagnostic and therapeutic capabilities. These developments can potentially shape the future landscape of lung cancer diagnostics, therapeutics and prevention strategies.
肺癌的复杂性由遗传、环境和生活方式等多因素驱动，这凸显了依据最新进展制定个性化治疗策略的必要性。研究强调了肺部微生物群与肺癌之间的显著关联，微生物群失调可能通过炎症、免疫反应改变和细菌代谢产物生成等途径促进疾病发展。此外，接触空气中的细菌可能通过引入致病菌种或改变人体微生物群来影响肺部健康，从而表明某些主要的空气传播细菌与肺部疾病有关，包括肺癌的恶化。细胞外囊泡（EVs）促进细胞间通讯，穿透黏膜屏障影响各个器官，尤其是肺部。流行病学证据表明空气中微生物细胞外囊泡（MEVs）的存在与慢性肺部疾病之间存在密切关系，提示存在肺癌潜在风险。MEVs通过引发气道炎症和影响肺功能在肺部疾病发展中发挥重要作用。微生物群和MEVs作为肺癌精准医学中的新型工具具有巨大潜力。生物数据分析和人工智能技术的进步对于充分发挥其诊断和治疗能力至关重要。这些进展可能会塑造肺癌诊断、治疗和预防策略的未来格局。
