References
- Lynch SV, Pedersen O. 2016. The human intestinal microbiome in health and disease. N. Engl. J. Med. 375: 2369-2379. https://doi.org/10.1056/NEJMra1600266
- Pevsner-Fischer M, Tuganbaev T, Meijer M, Zhang SH, Zeng ZR, Chen MH, et al. 2016. Role of the microbiome in non-gastrointestinal cancers. World J. Clin. Oncol. 7: 200-213. https://doi.org/10.5306/wjco.v7.i2.200
- Vogtmann E, Goedert JJ. 2016. Epidemiologic studies of the human microbiome and cancer. Br. J. Cancer 114: 237-242. https://doi.org/10.1038/bjc.2015.465
- Schwabe RF, Jobin C. 2013. The microbiome and cancer. Nat. Rev. Cancer 13: 800-812. https://doi.org/10.1038/nrc3610
- Nugent JL, McCoy AN, Addamo CJ, Jia W, Sandler RS, Keku TO. 2014. Altered tissue metabolites correlate with microbial dysbiosis in colorectal adenomas. J. Proteome Res. 13: 1921-1929. https://doi.org/10.1021/pr4009783
- Brenner DR, McLaughlin JR, Hung RJ. 2011. Previous lung diseases and lung cancer risk: a systematic review and meta-analysis. PLoS One 6: e17479. https://doi.org/10.1371/journal.pone.0017479
- Zhan P, Suo LJ, Qian Q, Shen XK, Qiu LX, Yu LK, et al. 2011. Chlamydia pneumoniae infection and lung cancer risk: a meta-analysis. Eur. J. Cancer. 47: 742-747. https://doi.org/10.1016/j.ejca.2010.11.003
- Cameron SJS, Lewis KE, Huws SA, Hegarty MJ, Lewis PD, Pachebat JA, et al. 2017. A pilot study using metagenomic sequencing of the sputum microbiome suggests potential bacterial biomarkers for lung cancer. PLoS One 12: e0177062. https://doi.org/10.1371/journal.pone.0177062
-
Cheng M, Qian L, Shen G, Bian G, Xu T, Xu W, et al. 2014. Microbiota modulate tumoral immune surveillance in lung through a
${\gamma}{\delta}T17$ immune cell-dependent mechanism. Cancer Res. 74: 4030-4041. https://doi.org/10.1158/0008-5472.CAN-13-2462 - Gui QF, Lu HF, Zhang CX, Xu ZR, Yang YH. 2015. Well-balanced commensal microbiota contributes to anti-cancer response in al lung cancer mouse model. Genet. Mol. Res. 14: 5642-5651. https://doi.org/10.4238/2015.May.25.16
- Hosgood HD, Sapkota AR, Rothan N, Rohan T, Hu W, Xu J, et al. 2014. The potential role of lung microbiota in lung cancer attributed to household coal burning exposure. Environ. Mol. Mutagen. 55: 643-651. https://doi.org/10.1002/em.21878
- Yan X, Yan M, Liu J, Gao R, Hu J, Li J, et al. 2015. Discovery and validation of potential bacterial biomarkers for lung cancer. Am. J. Cancer Res. 5: 3111-3122.
- Lee SH, Sung JY, Yong D, Chun J, Kim SY, Song JH, et al. 2016. Characterization of microbiome in bronchoalveolar lavage fluid of patients with lung cancer comparing with benign mass like lesions. Lung Cancer 102: 89-95. https://doi.org/10.1016/j.lungcan.2016.10.016
- Yu G, Gall MH, Consonni D, Carugno M, Humphys M, Pesatori AC, et al. 2016. Characterizing human lung tissue microbiota and its relationship to epidemiological and clinical features. Genome Biology 17: 163. https://doi.org/10.1186/s13059-016-1021-1
- Liu HX, Tao LL, Zhang J, Zhu YG, Zheng Y, Liu D, et al. 2018. Difference of lower airway microbiome in bilateral protected specimen brush between lung cancer patients with unilateral lobar masses and control subjects. Int. J. Cancer 142: 769-778. https://doi.org/10.1002/ijc.31098
- Berger G, Wunderink RG. 2013. Lung microbiota: genuine or artefact? Isr. Med. Assoc. J. 15: 731-733.
- Klindworth A, Pruesse E, Schweer T, Peplies J, Quast C, Horn M, et al. 2013. Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 41: e1. doi: 10.1093/nar/gks808.
- Schmieder R, Edwards R. 2011. Quality control and preprocessing of metagenomic datasets. Bioinformatics 27: 863-864. https://doi.org/10.1093/bioinformatics/btr026
- Aronesty E. 2011. Ea-tools: Command-line tools for processing biological sequencing data. Available from: https://github.com/ExpressionAnalysis/ea-utils. Accessed July 21, 2018.
- Edgar RC. 2010. Search and clustering orders of magnitude faster than BLAST. Bioinformatics 26: 2460-2461. https://doi.org/10.1093/bioinformatics/btq461
- Cole JR, Wang Q, Cardenas E, Fish J, Chai B, Farris RJ, et al. 2009. The Ribosomal Database Project: improved alignments and new tools for rRNA analysis. Nucleic Acids Res. 37(Database issue): D141-5. https://doi.org/10.1093/nar/gkn879
- Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. 2010. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7: 335-336. https://doi.org/10.1038/nmeth.f.303
- Cole JR, Wang Q, Fish JA, Chai B, McGarrell DM, Sun Y, et al. 2014. Ribosomal Database Project: data and tools for highthroughput rRNA analysis. Nucleic Acids Res. 42(Database issue): D633-D642. https://doi.org/10.1093/nar/gkt1244
- Kim BR, Shin J, Guevarra R, Lee JH, Kim DW, Seol KH, et al. 2017. Deciphering diversity indices for a better understanding of microbial communities. J. Microbiol. Biotechnol. 27: 2089-2093. https://doi.org/10.4014/jmb.1709.09027
- Gronseth R, Drengenes C, Wiker HG, Tangedal S, Xue Y, Husebo GR, et al. 2017. Protected sampling is preferable in bronchoscopic studies of the airway microbiome. ERJ Open Res. 3: 0019-2017.
- Burns MB, Lynch J, Starr TK, Knights D, Blekhman R. 2015. Virulence genes are a signature of the microbiome in the colorectal tumor microenvironment. Genome Med. 7: 55. https://doi.org/10.1186/s13073-015-0177-8
- Hieken TJ, Chen J, Hoskin TL, Walther-Antonio M, Johnson S, Ramaker S, et al. 2016. The microbiome of aseptically collected human breast tissue in benign and malignant disease. Sci. Rep. 6: 30751. https://doi.org/10.1038/srep30751
- Laroumagne S, Lepage B, Hermant C, Plat G, Phelippeau M, Bigay-Game L, et al. 2013. Bronchial colonization in patients with lung cancer: a prospective study. Eur. Respir. J. 42: 220-229. https://doi.org/10.1183/09031936.00062212
- Mao Q, Jiang F, Yin R, Wang J, Xia W, Dong G, et al. 2018. Interplay between the lung microbiome and lung cancer. Cancer Lett. 415: 40-48. https://doi.org/10.1016/j.canlet.2017.11.036
- Tsay JJ, Wu BG, Badri MH, Clemente JC, Shen N, Meyn P, et al. 2018. Airway microbiota is associated with up-regulation of the PI3K pathway in lung cancer. Am. J. Respir. Crit. Care Med. 98: 1188-1198.
- Gustafson AM, Soldi R, Anderlind C, Scholand MB, Qian J, Zhang X, et al. 2010. Airway PI3K pathway activation is an early and reversible event in lung cancer development. Sci. Transl. Med. 2: 26ra25. https://doi.org/10.1126/scitranslmed.3000251
- Yan L, Cai Q, Xu Y. 2013. The ubiquitin-CXCR4 axis plays an important role in acute lung infection-enhanced lung tumor metastasis. Clin. Cancer Res. 19: 4706-4716. https://doi.org/10.1158/1078-0432.CCR-13-0011
Cited by
- Host-Microbiome Interaction in Lung Cancer vol.12, 2019, https://doi.org/10.3389/fimmu.2021.679829