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

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, youngae kang, Young Sam Kim, Se Kyu Kim, Joon Chang, Moo Suk Park

Research output: Contribution to journalArticle

23 Citations (Scopus)

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 ± 11 years. 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.

Original languageEnglish
Pages (from-to)89-95
Number of pages7
JournalLung Cancer
Volume102
DOIs
Publication statusPublished - 2016 Dec 1

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Microbiota
Bronchoalveolar Lavage Fluid
Lung Neoplasms
Megasphaera
Veillonella
Sensitivity and Specificity
Lung
Bronchoscopy
Area Under Curve
Chronic Disease
Biomarkers

All Science Journal Classification (ASJC) codes

  • Oncology
  • Pulmonary and Respiratory Medicine
  • Cancer Research

Cite this

Lee, Sang Hoon ; Sung, Ji Yeon ; Yong, DongEun ; Chun, Jongsik ; Kim, Song Yee ; Song, Joo Han ; Chung, Kyung Soo ; Kim, Eun Young ; Jung, Ji Ye ; kang, youngae ; Kim, Young Sam ; Kim, Se Kyu ; Chang, Joon ; Park, Moo Suk. / Characterization of microbiome in bronchoalveolar lavage fluid of patients with lung cancer comparing with benign mass like lesions. In: Lung Cancer. 2016 ; Vol. 102. pp. 89-95.
@article{a78a8e9b851049009f8e6202f1e79045,
title = "Characterization of microbiome in bronchoalveolar lavage fluid of patients with lung cancer comparing with benign mass like lesions",
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 ± 11 years. 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.",
author = "Lee, {Sang Hoon} and Sung, {Ji Yeon} and DongEun Yong and Jongsik Chun and Kim, {Song Yee} and Song, {Joo Han} and Chung, {Kyung Soo} and Kim, {Eun Young} and Jung, {Ji Ye} and youngae kang and Kim, {Young Sam} and Kim, {Se Kyu} and Joon Chang and Park, {Moo Suk}",
year = "2016",
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doi = "10.1016/j.lungcan.2016.10.016",
language = "English",
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Lee, SH, Sung, JY, Yong, D, Chun, J, Kim, SY, Song, JH, Chung, KS, Kim, EY, Jung, JY, kang, Y, Kim, YS, Kim, SK, Chang, J & Park, MS 2016, 'Characterization of microbiome in bronchoalveolar lavage fluid of patients with lung cancer comparing with benign mass like lesions', Lung Cancer, vol. 102, pp. 89-95. https://doi.org/10.1016/j.lungcan.2016.10.016

Characterization of microbiome in bronchoalveolar lavage fluid of patients with lung cancer comparing with benign mass like lesions. / Lee, Sang Hoon; Sung, Ji Yeon; Yong, DongEun; Chun, Jongsik; Kim, Song Yee; Song, Joo Han; Chung, Kyung Soo; Kim, Eun Young; Jung, Ji Ye; kang, youngae; Kim, Young Sam; Kim, Se Kyu; Chang, Joon; Park, Moo Suk.

In: Lung Cancer, Vol. 102, 01.12.2016, p. 89-95.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Characterization of microbiome in bronchoalveolar lavage fluid of patients with lung cancer comparing with benign mass like lesions

AU - Lee, Sang Hoon

AU - Sung, Ji Yeon

AU - Yong, DongEun

AU - Chun, Jongsik

AU - Kim, Song Yee

AU - Song, Joo Han

AU - Chung, Kyung Soo

AU - Kim, Eun Young

AU - Jung, Ji Ye

AU - kang, youngae

AU - Kim, Young Sam

AU - Kim, Se Kyu

AU - Chang, Joon

AU - Park, Moo Suk

PY - 2016/12/1

Y1 - 2016/12/1

N2 - 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 ± 11 years. 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.

AB - 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 ± 11 years. 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.

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DO - 10.1016/j.lungcan.2016.10.016

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JO - Lung Cancer

JF - Lung Cancer

SN - 0169-5002

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