Background
Accumulating evidence has confirmed the important role of the gut microbiome in the development and immunotherapy efficacy of lung cancer. However, little is known about the relationship between intestinal flora and chemotherapy. This study investigates the correlation between intestinal flora and chemotherapy efficacy in lung cancer.
Methods
We analyzed baseline stool samples from patients with locally advanced and advanced lung cancer before chemotherapy treatment, through metagenomics of the gut microbiota. The composition, diversity, function, and metabolic pathway analysis of the microbial communities were compared, using the R statistical programming language, among patients with different clinical outcomes.
Results
From September 1, 2018 to September 30, 2019, we obtained stool samples from 64 patients with locally advanced and advanced lung cancer treated with chemotherapy at baseline, consisting of 33 patients who responded to treatment (responders) and 31 patients who did not (non-responders). The median progression-free survival was 7 months (range, 1.5–14.5). Streptococcus mutans and Enterococcus casseliflavus were enriched in responders (P < 0.05), while 11 bacteria including Leuconostoc lactis and Eubacterium siraeum were enriched in non-responders (P < 0.05) by variance analysis. Responders to chemotherapy were associated with significantly higher Acidobacteria and Granulicella, while Streptococcus oligofermentans, Megasphaera micronuciformis, and Eubacterium siraeum were more abundant in non-responders by Lefse analysis. Streptococcus mutans and Enterococcus casseliflavus were further identified as bacterial markers for the responders in chemotherapy using unsupervised clustering, and Leuconostoc lactis and Eubacterium siraeum were the biomarkers for non-responders. Functional analysis of metabolic pathways revealed that the L-glutamate degradation VIII pathway was enriched in responders (P = 0.014), and the C4 photosynthetic carbon assimilation cycle, reductive TCA cycle I, and hexitol fermentation to lactate, formate, ethanol, and acetate were enriched in non-responders (P < 0.05). In addition, significant associations of bacterial species with clinical indicators such as age, body mass index, and pathological patterns were observed by spearman correlation analysis.
Conclusions
The study showed that the specific gut microbiome of patients with lung cancer might possess a potential predictive role for the clinical outcomes of chemotherapy. Further validation is needed.