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Identification of tissue-specific microbial profile of esophageal squamous cell carcinoma by full-length 16S rDNA sequencing

  • Applied Microbial and Cell Physiology
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Abstract

It was previously believed that the microbial community in the esophagus was relatively stable, but it has been reported that different esophageal diseases have different microbial community characteristics. In this study, we recruited patients with esophageal squamous cell carcinoma (ESCC) and collected 51 pairs of tumor and adjacent non-tumor tissues for full-length 16S rDNAsequencing and qPCR to compare the differences in microbial community structure. The results of sequencing in 19 pairs of tissues showed that Proteobacteria, Firmicutes, Bacteroidetes, Deinococcus-Thermus, and Actinobacteria were the main bacteria in tumor and adjacent non-tumor tissues. At the genus level, the bacteria with the highest relative proportion in tumor and adjacent non-tumor tissues were Streptococcus and Labrys, respectively. At the same time, it was observed that the complexity of microbial interactions in tumor tissues was weaker than that of adjacent non-tumor tissues. The results also found that the relative abundance of 24 taxa was statistically different between tumor and adjacent non-tumor tissues. The findings of qPCR in 32 pairs of tissues further evidence that the relative proportions of Blautia, Treponema, Lactobacillus murinus, Peptoanaerobacter stomatis, and Fusobacteria periodonticum were statistically different in tumor and adjacent non-tumor tissues. The findings of PIRCUSt2 indicated the lipopolysaccharide biosynthesis and biotin metabolism in the microbiome of cancer tissues are more significant. This study supplements the existing information on the structure, function, and interaction of microorganisms in the esophagus in situ and provides a direction for the further exploration of the relationship between esophageal in situ microorganisms and esophageal squamous cell carcinoma.

Key points

• The structure of the microbial community in esophageal cancer tissue and adjacent non-tumor tissues at the phylum level is similar

• Streptococcus and Labrys are the most important bacteria in esophageal tumor tissues and adjacent non-tumor tissues, respectively

• Microbial interactions in tumor tissues are stronger than in adjacent non-tumor tissues

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Data availability

The data that support the findings of this study are available from the corresponding author on request. The sequence information in this study has been deposited in the NCBI Short Read Archive database under accession numbers SAMN20926717 to SAMN20926754.

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Acknowledgements

This study was funded by the National Natural Science Foundation of China grants (81872579, 82173479) and the New Century Excellent Talents in University from the Ministry of Education (NCET-13-012).

Funding

National Natural Science Foundation of China grants,81872579,Ran Liu ,82173479,Ran Liu ,New Century Excellent Talents in University from Ministry of Education ,NCET-13-012,Ran Liu

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Authors and Affiliations

  1. Key Laboratory of Environment Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, 210009, China

    Weitao Shen, Ping Wan, Zhenyan Peng, Mingjun Sun, Xinxin Guo & Ran Liu

  2. Department of Thoracic Surgery, The Affiliated Huaian No. 1 People’s Hospital of Nanjing Medical University, Huaian, 223300, Jiangsu, China

    Derong Tang

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  1. Weitao Shen
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  2. Derong Tang
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  3. Ping Wan
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  4. Zhenyan Peng
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  5. Mingjun Sun
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  6. Xinxin Guo
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  7. Ran Liu
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Contributions

WS and RL conceived and designed the research. PW and ZP conducted experiments. DT contributed new reagents or analytical tools. MS and XG analyzed the data. WS wrote the manuscript. All authors read and approved the manuscript.

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Correspondence to Ran Liu.

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The protocol was approved by the ethics committee of Zhongda Hospital of the Southeast University.

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Shen, W., Tang, D., Wan, P. et al. Identification of tissue-specific microbial profile of esophageal squamous cell carcinoma by full-length 16S rDNA sequencing. Appl Microbiol Biotechnol 106, 3215–3229 (2022). https://doi.org/10.1007/s00253-022-11921-2

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