Diminishing microbiome richness and distinction in the lower respiratory tract of lung cancer patients: A multiple comparative study design with independent validation

肺癌 医学 微生物群 内科学 肿瘤科 呼吸道 重症监护医学 物种丰富度 呼吸系统 生物信息学 生态学 生物
作者
Jing Jin,Yuncui Gan,Huayong Liu,Zirong Wang,Jianying Yuan,Taibing Deng,Yongzhao Zhou,Yingying Zhu,Hui Zhu,Yang Sai,Wei Shen,Dan Xie,Honglong Wu,Dan Liu,Weimin Li
出处
期刊:Lung Cancer [Elsevier BV]
卷期号:136: 129-135 被引量:70
标识
DOI:10.1016/j.lungcan.2019.08.022
摘要

Objectives Current evidence suggests that microorganisms are associated with neoplastic diseases; however, the role of the airway microbiome in lung cancer remains unknown. To investigate the taxonomic profiles of the lower respiratory tract (LRT) microbiome in patients with lung cancer. Materials and methods BALF samples were collected in a discovery set comprising 150 individuals, including 91 patients with lung cancer, 29 patients with nonmalignant pulmonary diseases and 30 healthy subjects, and an independent validation set including 85 participants. The samples were assessed by metagenomics analysis. Random forest regression analysis was performed to select a diagnostic panel. Results In the discovery set, richness was reduced in lung cancer patients compared with that in healthy subjects, and the microbiome of patients with nonmalignant diseases resembled that of patients with lung cancer. Interestingly, Bradyrhizobium japonicum was only found in patients with lung cancer, whereas Acidovorax was found in patients with cancer and nonmalignant pulmonary diseases. A microbiota-related diagnostic model consisting of age, pack year of smoking and eleven types of bacteria was built, and the area under the curve (AUC) for discriminating the patients with cancer was 0.882 (95%CI: 0.807-0.957) in the training set and 0.796 (95%CI: 0.673-0.920) in the independent validation set. Conclusion Our study demonstrates that the LRT microbiome richness is diminished in lung cancer patients compared with that in healthy subjects and that microbiota-specific biomarkers may be useful for diagnosing patients for whom lung biopsy is not feasible.
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