Computational Biology and Medical Ecology Lab, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
Kunming College of Life Science, University of the Chinese Academy of Sciences, Kunming, Yunnan 650201, China.
FEMS Microbiol Lett. 2024 Jan 9;371. doi: 10.1093/femsle/fnae087.
This study explores the relationship between microbial diversity and disease status in human lung cancer tissue microbiomes, using a sample size of 1212. Analysis divided the data into primary tumour (PT) and normal tissue (NT) categories. Differences in microbial diversity between PT and NT were significant in 57% of comparisons, although dataset dependence was a factor in the diversity levels. Shared species analysis (SSA) indicated no significant differences between PT and NT in over 90% of comparisons. Network diversity assessments revealed significant differences between NT and PT regarding species relative abundances and network link abundances for q = 0-3. Additionally, significant variations were found between NT and lung squamous cell carcinoma (LUSC) at q = 0. in network link probabilities, illustrating the diversity in species interactions. Our findings suggest a stable overall microbiome diversity and composition in lung cancer patients' lung tissues despite patients with diagnosed lung tumours, indicating modified microbial interactions within the tumour. These results highlight an association between altered microbiome interaction patterns and lung tumours, offering new insights into the ecological dynamics of lung cancer microbiomes.
这项研究使用了 1212 个样本，探讨了人类肺癌组织微生物组中微生物多样性与疾病状态之间的关系。分析将数据分为原发肿瘤（PT）和正常组织（NT）两类。在 57%的比较中，PT 和 NT 之间的微生物多样性存在显著差异，尽管数据集依赖性是多样性水平的一个因素。共享物种分析（SSA）表明，在超过 90%的比较中，PT 和 NT 之间没有显著差异。网络多样性评估表明，在 q=0-3 时，NT 和 PT 之间在物种相对丰度和网络链接丰度方面存在显著差异。此外，在 q=0 时，NT 和肺鳞状细胞癌（LUSC）之间的网络链接概率也存在显著差异，表明物种相互作用的多样性。我们的研究结果表明，尽管患者患有诊断出的肺癌肿瘤，但肺癌患者肺部组织中的整体微生物组多样性和组成相对稳定，表明肿瘤内微生物相互作用发生了改变。这些结果强调了微生物组相互作用模式改变与肺癌之间的关联，为肺癌微生物组的生态动力学提供了新的见解。
