VSports手机版 - Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The . gov means it’s official. Federal government websites often end in . gov or . mil VSports app下载. Before sharing sensitive information, make sure you’re on a federal government site. .

Https

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely V体育官网. .

. 2019 Sep 6;9(1):12838.
doi: 10.1038/s41598-019-49195-w.

Profiling of lung microbiota discloses differences in adenocarcinoma and squamous cell carcinoma

Sílvia Gomes  1   2 , Bruno Cavadas  1   2 , Joana Catarina Ferreira  1   2 , Patrícia Isabel Marques  1   2 , Catarina Monteiro  1   2 , Maria Sucena  3 , Catarina Sousa  3 , Luís Vaz Rodrigues  4 , Gilberto Teixeira  5 , Paula Pinto  6   7 , Tiago Tavares de Abreu  6 , Cristina Bárbara  6   7 , Júlio Semedo  6 , Leonor Mota  6 , Ana Sofia Carvalho  8 , Rune Matthiesen  8 , Luísa Pereira  1   2   9 , Susana Seixas  10   11
Affiliations

Profiling of lung microbiota discloses differences in adenocarcinoma and squamous cell carcinoma

VSports在线直播 - Sílvia Gomes et al. Sci Rep. .

Abstract

The lung is a complex ecosystem of host cells and microbes often disrupted in pathological conditions. Although bacteria have been hypothesized as agents of carcinogenesis, little is known about microbiota profile of the most prevalent cancer subtypes: adenocarcinoma (ADC) and squamous cell carcinoma (SCC). To characterize lung cancer (LC) microbiota a first a screening was performed through a pooled sequencing approach of 16S ribosomal RNA gene (V3-V6) using a total of 103 bronchoalveaolar lavage fluid samples. Then, identified taxa were used to inspect 1009 cases from The Cancer Genome Atlas and to annotate tumor unmapped RNAseq reads. Microbial diversity was analyzed per cancer subtype, history of cigarette smoking and airflow obstruction, among other clinical data. We show that LC microbiota is enriched in Proteobacteria and more diverse in SCC than ADC, particularly in males and heavier smokers. High frequencies of Proteobacteria were found to discriminate a major cluster, further subdivided into well-defined communities' associated with either ADC or SCC. Here, a SCC subcluster differing from other cases by a worse survival was correlated with several Enterobacteriaceae VSports手机版. Overall, this study provides first evidence for a correlation between lung microbiota and cancer subtype and for its influence on patient life expectancy. .

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Characterization of lung cancer (LC) microbiota. (a) Relative abundance at the phylum and genus levels for Portuguese cases and controls. This data corresponds to the DNA pooling of 16S rRNA amplicons (V3-V6) of 49 and 54 individual samples, respectively. (b) Relative abundance of genera identified among tumor sections of 1009 lung cancer cases from The Cancer Genome Atlas (TCGA). ADC: adenocarcinoma (N = 509). SCC: Squamous cell carcinoma (N = 500).
Figure 2
Figure 2
Alpha diversity of lung microbiota from lung cancer (LC) cases of The Cancer Genome Atlas (TCGA). (a) Inverse Simpson and Shannon indexes for LC cases grouped by histological subtype. (b) Inverse Simpson index of LC subtypes grouped according to different clinical variables available at TCGA database (ancestry, gender, age at diagnosis, smoking history, lung region and lung parenchyma). Welch’s t-test was used to access statistical significance of pairwise comparisons (*P-value < 0.05; **P-value < 0.01, ***P-value < 0.001). ADC: adenocarcinoma. SCC: Squamous cell carcinoma.
Figure 3
Figure 3
Beta diversity of lung microbiota from lung cancer (LC) cases of The Cancer Genome Atlas (TCGA). The Principal Coordinates Analysis (PCoA) plot was generated using weighted UniFrac distances. ADC: adenocarcinoma. SCC: Squamous cell carcinoma.
Figure 4
Figure 4
Bacterial communities of lung cancer (LC) cases from The Cancer Genome Atlas (TCGA). (a) Hierarchical clustering of LC cases built using weighted UniFrac distances and complete linkage method. Major clusters identified are indicated in the tree. (b) Schematic representation of LC subtype and gender variables available for all samples. (c) Phyla relative abundance per each sample. (d) Genera relative abundance per each sample. Less frequent taxa are grouped in a single category and labeled as “Others”. ADC: adenocarcinoma. SCC: Squamous cell carcinoma.
Figure 5
Figure 5
Microbial differentiation of The Cancer Genome Atlas (TCGA) cases according to disease status and linear discriminant analysis (LDA) effect size (LEfSe) algorithm. (a) lung cancer subtype. (b) COPD co-morbidity presence or absence. ADC: adenocarcinoma (N = 509). SCC: Squamous cell carcinoma (N = 500). W/o COPD: cases without COPD (N = 164); W/COPD: cases with COPD (N = 110).
Figure 6
Figure 6
Survival plots of The Cancer Genome Atlas (TCGA) cases organized according to different microbial clusters identified and lung cancer subtypes. ADC: adenocarcinoma. SCC: Squamous cell carcinoma.
See this image and copyright information in PMC

References

    1. Bray F, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424. doi: 10.3322/caac.21492. - DOI - PubMed
    1. Meiners S, Eickelberg O, Konigshoff M. Hallmarks of the ageing lung. Eur Respir J. 2015;45:807–827. doi: 10.1183/09031936.00186914. - DOI - PubMed
    1. Vogelmeier Claus F., Criner Gerard J., Martinez Fernando J., Anzueto Antonio, Barnes Peter J., Bourbeau Jean, Celli Bartolome R., Chen Rongchang, Decramer Marc, Fabbri Leonardo M., Frith Peter, Halpin David M.G., López Varela M. Victorina, Nishimura Masaharu, Roche Nicolas, Rodriguez-Roisin Roberto, Sin Don D., Singh Dave, Stockley Robert, Vestbo Jørgen, Wedzicha Jadwiga A., Agusti Alvar. Global Strategy for the Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease 2017 Report: GOLD Executive Summary. European Respiratory Journal. 2017;49(3):1700214. doi: 10.1183/13993003.00214-2017. - DOI - PubMed
    1. Vermaelen K, Brusselle G. Exposing a deadly alliance: novel insights into the biological links between COPD and lung cancer. Pulmonary pharmacology & therapeutics. 2013;26:544–554. doi: 10.1016/j.pupt.2013.05.003. - DOI - PubMed
    1. Liang HY, et al. Facts and fiction of the relationship between preexisting tuberculosis and lung cancer risk: a systematic review. International journal of cancer. Journal international du cancer. 2009;125:2936–2944. doi: 10.1002/ijc.24636. - DOI - PubMed

Publication types

"VSports手机版" Substances