Species Diversity and Network Diversity in the Human Lung Cancer Tissue Microbiomes

This study explores the relationship between microbial diversity and disease status in human lung cancer tissue microbiomes, using a sample size of 1,212. Analysis divided the data into primary tumor (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, at q=0, significant variations were found between NT and LUSC 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 tumors, indicating modified microbial interactions within the tumor. These results highlight an association between altered microbiome interaction patterns and lung tumors, offering new insights into the ecological dynamics of lung cancer microbiomes.