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  • br Although their influence is not

    2020-07-28


    Although their influence is not strong, some bacteria related to dental caries and periodontal disease also suggest that the cancer risk can be reduced by maintaining good oral hygiene.
    Despite the microbiota distribution evaluation at this time, it has been reported that the ratio as well as the number of bacteria influence disease onset [42]. There is a possibility of identifying new causative bacteria for the onset by comparing the number of bacteria.
    In addition, bacteria as well as fungi are involved in the for-mation of oral microbiota. It is known that Candida and other fungi are detected at high proportions in the oral cavity if the immune status is reduced as in the elderly and HIV patients [43,44]. It is suggested that these fungal species are also associated with oral cancer and other cancers, but the specifics of how they are involved are not clear [45]. In recent years, analysis of microbiota using NGS has been carried out widely, but research on the characteristics of the fungal flora and their relation to the microbiota in OSCC pa-tients will be necessary in the future.
    5. Conclusion
    In this study, we compared the oral microbiota of 60 Japanese oral cancer patients with 80 non-cancer individuals and found high bacterial RGX-104 and a change in the ratio of some bacterial species.
    Conflict of interest
    The authors have no conflict of interest.
    CRediT authorship contribution statement
    Yasuharu Takahashi: Data curation, Writing - original draft.
    Jonguk Park: Formal analysis, Writing - original draft. Koji
    Hosomi: Formal analysis. Tomonori Yamada: Data curation. Ayaka
    Kobayashi: Data curation. Yuji Yamaguchi: Data curation. Susumu
    Iketani: Data curation. Jun Kunisawa: Formal analysis. Kenji
    Mizuguchi: Formal analysis. Nobuko Maeda: Writing - original
    draft. Tomoko Ohshima: Writing - original draft.
    Acknowledgments
    References
    [4] Fang HJ. Risk factors associated with oral and maxillofacial benign tumors: a case-control study. Cell Mol Biol 2017;63:23e6. [5] Khatoon J, Rai RP, Prasad KN. Role of Helicobacter pylori in gastric cancer: Updates. World J Gastrointest Oncol 2016;8:147e58. [6] Koshiol J, Wozniak A, Cook P, Adaniel C, Acevedo J, Azocar L, et al. Salmonella enterica serovar Typhi and gallbladder cancer: a case-control study and meta-analysis. Cancer. Med 2016;5:3310e25.
    [7] Nosho K, Sukawa Y, Adachi Y, Ito M, Mitsuhashi K, Kurihara H, et al. Associ-ation of Fusobacterium nucleatum with immunity and molecular alterations in colorectal cancer. World J Gastroenterol 2016;22:557e66. [8] Flemer B, Warren RD, Barrett MP, Cisek K, Das A, Jeffery IB, et al. The oral microbiota in colorectal cancer is distinctive and predictive. Gut 2018;67: 1454e63.  [9] Schmidt BL, Kuczynski J, Bhattacharya A, Huey B, Corby PM, Queiroz ELS, et al. Changes in abundance of oral microbiota associated with oral cancer. PLoS One 2014;9:e98741. [10] Guerrero-Preston R, Godoy-Vitorio F, Jedlicka A, Rodriguez-Hilario A, Gonzalez H, Bondy J, et al. 16S rRNA amplicon sequencing identifies micro-biota associated with oral cancer, human papilloma virus infection and sur-gical treatment. Oncotarget 2016;77:51320e34. [11] Zhao H, Chu M, Huang Z, Yang X, Ran S, Hu B, et al. Variation in oral micro-biota associated with oral cancer. Sci Rep 2017;7:11773. [12] Takeshita T, Matsuo K, Furuta M, Shibata Y, Fukami K, Shimazaki Y, et al. Distinct composition of the oral indigenous microbiota in South Korean and Japanese adults. Sci Rep 2014;4:6990. [13] Hosomi K, Ohno H, Murakami H, Natsume-Kitatani Y, Tanisawa K, Hirata S, et al. Method for preparing DNA from feces in guanidine thiocyanate solution affects 16S rRNA-based profiling of human microbiota diversity. Sci Rep 2017;7:4399.
    [14] Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing RGX-104 data. Nat Methods 2010;7:335e6.
    [16] Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, et al. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res 2013;41:590e6.
    [17] Edgar RC. Search and clustering orders of magnitude faster than BLAST. Bio-informatics 2010;26:2460e1. [18] McMurdie PJ, Holmes S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One 2013;8:e61217. [19] Ito K, Murphy D. Application of ggplot2 to pharmacometric graphics. CPT Pharmacometrics Syst Pharmacol 2013;2:1e16. [20] Nagy KN, Sonkodi I, Szoke I, Nagy E, Newman HN. The microflora associated with human oral carcinomas. Oral Oncol 1998;34:304e8.