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Characterization of microbiome in bronchoalveolar lavage fluid of patients with lung cancer comparing with benign mass like lesions

Authors
 Sang Hoon Lee  ;  Ji Yeon Sung  ;  Dongeun Yong  ;  Jongsik Chun  ;  Song Yee Kim  ;  Joo Han Song  ;  Kyung Soo Chung  ;  Eun Young Kim  ;  Ji Ye Jung  ;  Young Ae Kang  ;  Young Sam Kim  ;  Se Kyu Kim  ;  Joon Chang  ;  Moo Suk Park 
Citation
 Lung Cancer, Vol.102 : 89-95, 2016 
Journal Title
 Lung Cancer 
ISSN
 0169-5002 
Issue Date
2016
Abstract
OBJECTIVES: Disruption in the stability of respiratory microbiota is known to be associated with many chronic respiratory diseases. However, only few studies have examined microbiomes in lung cancer. Therefore, we characterized and compared the microbiomes of patients with lung cancer and those with benign mass-like lesions. MATERIALS AND METHODS: Bronchoalveolar fluid was collected prospectively to evaluate lung masses in patients who had undergone bronchoscopies from May to September 2015. Twenty-eight patients (20 male, 8 female) were enrolled: 20 diagnosed with lung cancer and 8 diagnosed with benign diseases. Samples were analysed by 16S rRNA-based next-generation sequencing. RESULTS: The participants' mean age was 64±11years. Bacterial operational taxonomic units were classified into 26 phyla, 44 classes, 81 orders, 153 families, 288 genera, and 797 species. The relative abundance of two phyla (Firmicutes and TM7) was significantly increased in patients with lung cancer (p=0.037 and 0.035, respectively). Furthermore, two genera (Veillonella and Megasphaera) were relatively more abundant in lung cancer patients (p=0.003 and 0.022, respectively). The area under the curve of a combination of these two genera used to predict lung cancer was 0.888 (sensitivity=95.0%, specificity=75.0% and sensitivity=70.0%, specificity=100.0%; p=0.002). CONCLUSION: The results indicate that differences exist in the bacterial communities of patients with lung cancer and those with benign mass-like lesions. The genera Veillonella and Megasphaera showed the potential to serve as biomarkers to predict lung cancer. Thus, the lung microbiota may change the environment in patients with lung cancer.
Full Text
http://www.sciencedirect.com/science/article/pii/S0169500216305153?via%3Dihub
DOI
10.1016/j.lungcan.2016.10.016
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Laboratory Medicine (진단검사의학교실) > 1. Journal Papers
Yonsei Authors
강영애(Kang, Young Ae) ORCID logo https://orcid.org/0000-0002-7783-5271
김세규(Kim, Se Kyu)
김송이(Kim, Song Yee) ORCID logo https://orcid.org/0000-0001-8627-486X
김영삼(Kim, Young Sam) ORCID logo https://orcid.org/0000-0001-9656-8482
김은영(Kim, Eun Young) ORCID logo https://orcid.org/0000-0002-3281-5744
박무석(Park, Moo Suk) ORCID logo https://orcid.org/0000-0003-0820-7615
송주한(Song, Joo Han)
용동은(Yong, Dong Eun) ORCID logo https://orcid.org/0000-0002-1225-8477
이상훈(Lee, Sang Hoon) ORCID logo https://orcid.org/0000-0002-7706-5318
장준(Chang, Joon) ORCID logo https://orcid.org/0000-0003-4542-6841
정경수(Jung, Kyung Soo) ORCID logo https://orcid.org/0000-0003-1604-8730
정지예(Jung, Ji Ye) ORCID logo https://orcid.org/0000-0003-1589-4142
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/152697
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