Sang Hoon Lee1, Ji Yeon Sung2, Dongeun Yong2, Jongsik Chun3, Song Yee Kim4, Joo Han Song4, Kyung Soo Chung4, Eun Young Kim4, Ji Ye Jung4, Young Ae Kang4, Young Sam Kim4, Se Kyu Kim4, Joon Chang4, Moo Suk Park5. 1. Department of Internal Medicine, Seoul National University College of Medicine, Division of Pulmonary and Critical Care Medicine, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, 463-707 Seongnam-si, Gyeonggi-do, Korea. 2. Department of Laboratory Medicine and Research Institute of Antimicrobial Resistance, Severance Hospital, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea. 3. School of Biological Sciences, Seoul National University, Seoul, Korea; Chunlab Inc., Seoul, Korea. 4. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, 50-1, Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea. 5. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Institute of Chest Diseases, Severance Hospital, Yonsei University College of Medicine, 50-1, Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea. Electronic address: pms70@yuhs.ac.
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.
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 cancerpatients (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.
Authors: Brandilyn A Peters; Richard B Hayes; Chandra Goparaju; Christopher Reid; Harvey I Pass; Jiyoung Ahn Journal: Cancer Epidemiol Biomarkers Prev Date: 2019-02-07 Impact factor: 4.254
Authors: Jun-Chieh J Tsay; Benjamin G Wu; Michelle H Badri; Jose C Clemente; Nan Shen; Peter Meyn; Yonghua Li; Ting-An Yie; Tenzin Lhakhang; Evan Olsen; Vivek Murthy; Gaetane Michaud; Imran Sulaiman; Aristotelis Tsirigos; Adriana Heguy; Harvey Pass; Michael D Weiden; William N Rom; Daniel H Sterman; Richard Bonneau; Martin J Blaser; Leopoldo N Segal Journal: Am J Respir Crit Care Med Date: 2018-11-01 Impact factor: 21.405