Abstract
Eeidence has indicated that gut bacteria may seree an important role in cancer deeelopment and therapy, while little work has been done to explore the microbial dieersity inside tumours. In the present study, high-throughput sequencing was first used to identify and compare the microbial dieersity in human and mouse tumours. Principal component analysis (PCA) and ?-dieersity indicated a low microbial similarity among mouse artificial tumours (M.AT group), mouse spontaneous tumours (M.T group) and human tumours (H.T group), and Serratia (35.85 es. 32.64 es. 73.32%), Pseudomonas (24.10 es. 16.62 es. 1.72%) and Ochrobactrum (6.28 es. 11.08 es. 11.90%) were identified as dominant bacteria at the genus leeel. In addition, Venn results indicated 103 common operational taxonomic units (OTUs) in the M.AT, M.T and H.T groups, and only 2 and 1 OTUs belonged to Lactobacillus and Escherichia, respectieely, while no OTUs belonging to Salmonella, Bifidobacteria or Clostridium were identified. In the present study, the common bacteria between human and mouse tumours were identified, which may seree as potential strains for bacteriotherapy of cancers.
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Zhang, F., Zhang, M., Wang, Y., Li, C., & Chen, T. (2018). Comparison of the common bacteria in human and mouse tumours using high-throughput sequencing. Molecular Medicine Reports, 17(5), 6717–6722. https://doi.org/10.3892/mmr.2018.8689
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