Analysis of the Pancreatic Cancer Microbiome Using Endoscopic Ultrasound–Guided Fine-Needle Aspiration–Derived Samples

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  • Shintaro Nakano
  • Yasuyuki Kawamoto
    Division of Cancer Center, Hokkaido University Hospital, Sapporo
  • Yoshito Komatsu
    Division of Cancer Center, Hokkaido University Hospital, Sapporo
  • Rika Saito
  • Ken Ito
  • Takahiro Yamamura
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Kazuaki Harada
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Satoshi Yuki
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Kazumichi Kawakubo
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Ryo Sugiura
    Department of Gastroenterology and Hepatology, Hakodate Municipal Hospital, Hakodate
  • Shin Kato
    Department of Gastroenterology, Sapporo City General Hospital
  • Koji Hirata
    Department of Gastroenterology, Sapporo Hokuyu Hospital
  • Hajime Hirata
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Masahito Nakajima
    Department of Gastroenterology, Aiiku Hospital
  • Ryutaro Furukawa
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Yunosuke Takishin
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Kousuke Nagai
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Isao Yokota
    Department of Biostatistics, Hokkaido University Graduate School of Medicine
  • Keisuke H. Ota
    Laboratory of Mathematical Biology, Hokkaido University Graduate School of Life Science
  • Shinji Nakaoka
    Laboratory of Mathematical Biology, Hokkaido University Faculty of Advanced Life Science, Sapporo, Japan.
  • Masaki Kuwatani
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine
  • Naoya Sakamoto
    Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine

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<jats:sec> <jats:title>Objectives</jats:title> <jats:p>Most previous studies have analyzed bacteria in tumors using resected pancreatic cancer (PC) tissues, because it is difficult to obtain tissue samples from unresectable advanced PC. We aimed to determine whether minimal tissue obtained by endoscopic ultrasound–guided fine-needle aspiration is useful for microbiome analysis.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>Thirty PC and matched duodenal and stomach tissues (N = 90) were prospectively collected from 30 patients who underwent endoscopic ultrasound–guided fine-needle aspiration. Bacterial DNA was extracted, and 16S rRNA sequencing was performed. The primary outcome was the success rate of bacterial detection in tumors. Bacterial diversity and structure were investigated.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>The bacterial detection rates were 80%, 100%, and 97% in PC, gastric, and duodenal samples, respectively. Pancreatic cancer tissues showed a lower α-diversity and a significantly different microbial structure than stomach and duodenal tissues. Proteobacteria were more abundant, whereas Firmicutes, Bacteroidetes, and Fusobacteria were less abundant in PC tissues than in stomach and duodenal tissues. <jats:italic toggle="yes">Acinetobacter</jats:italic> was more abundant in PC tissues than in stomach and duodenal tissues, and <jats:italic toggle="yes">Delftia</jats:italic> was more frequently detected in resectable PC.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Endoscopic ultrasound–guided fine-needle aspiration samples were valuable for PC microbiome analysis, revealing that the bacterial composition of PC is different from that of the stomach and duodenum.</jats:p> </jats:sec>

収録刊行物

  • Pancreas

    Pancreas 51 (4), 351-357, 2022-04

    Ovid Technologies (Wolters Kluwer Health)

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