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Application of C. elegans cancer screening test for the detection of pancreatic tumor in genetically engineered mice

  • Yuji Ueda
  • , Koichi Kawamoto
  • , Masamitsu Konno
  • , Kozo Noguchi
  • , Satoru Kaifuchi
  • , Taroh Satoh
  • , Hidetoshi Eguchi
  • , Yuichiro Doki
  • , Takaaki Hirotsu
  • , Masaki Mori
  • , Hideshi Ishii

研究成果: ジャーナルへの寄稿学術誌査読

抄録

Pancreatic ductal adenocarcinoma (PDAC) exhibits a very early onset of metastasis. Thus, early detection and treatment are pivotal to successful eradication of pancreatic cancers. Economical and non-invasive cancer screening systems is indispensable for this purpose. Previously our group developed a novel method to detect various kinds of human cancer using nematode Caenorhabditis elegans (C. elegans) that respond to cancer odor in urine; however, whether this method is useful for non-human species remains to be understood. In this study, we examined its effectiveness in the detection of murine pancreatic tumor spontaneously generated in genetically-engineered mice. We generated pancreas-specific KrasG12D and/or c-Met deletion mutant mice and measured the probability of spontaneous tumor generation in these mice. The chemotactic indexes of C. elegans to the urine samples of these mutant mice were measured. As previously described, oncogenic KrasG12D was necessary to induce pancreatic intraepithelial neoplasia in this mouse model, while c-Met mutation did not show further effect. The chemotactic analysis indicated that C. elegans avoids urine of healthy recipient mice, while they tended to be attracted to urine of mice with KrasG12D. Our study demonstrated that C. elegans can recognize the odor of pancreatic cancer in urine of KrasG12D model mouse, suggesting the similarity of cancer odor between species. Our result facilitates further studies on mechanism of cancer detection by C. elegans.

本文言語英語
ページ(範囲)5412-5418
ページ数7
ジャーナルOncotarget
10
52
DOI
出版ステータス出版済み - 2019

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

  1. SDG 3 - すべての人に健康と福祉を
    SDG 3 すべての人に健康と福祉を

!!!All Science Journal Classification (ASJC) codes

  • 腫瘍学

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