early gastric cancer diagnostic panel using human Helicobacter pylori molecular markers + endoscopic AI diagnosis

• Project/Area Number: 21K07901
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 53010:Gastroenterology-related
• Research Institution: St. Marianna University School of Medicine
• Principal Investigator: Watanabe Yoshiyuki 聖マリアンナ医科大学, 医学部, 講師 (90329243)
• Co-Investigator(Kenkyū-buntansha): 山本 博幸 聖マリアンナ医科大学, 医学研究科, 教授 (40332910)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Project Status: Completed (Fiscal Year 2023)
• Budget Amount: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000); Fiscal Year 2023: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000); Fiscal Year 2022: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000); Fiscal Year 2021: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
• Keywords: 早期胃がん / 遺伝子メチル化異常 / ピロリ菌遺伝子異常 / 胃洗浄廃液 / ESD / 内視鏡AI診断 / 診断マーカー / 白色光 / ピロリ菌 / 分子マーカー / 内視鏡 / AI診断

Outline of Research at the Start

本研究は「「廃液」を用いたヒト＋ピロリ菌ゲノム異常分子マーカーに、内視鏡AI診断を加える」ことで超早期胃がん診断を実現すべく、前向き臨床試験を行い、得られた情報の統合的アルゴリズム化解析から「シンプルで画期的な診断応用」を目指すものである。

Outline of Final Research Achievements

This research aims to diagnose gastric cancer at an extremely early stage by adding AI diagnosis to human plus H. pylori genomic abnormality molecular markers using gastric wash fluid. As a result, compared to the AUC (MINT25:0.465, SOX17:0.554, miR34:0.490, BARHL2:0.659) for gastric cancer molecular markers, the AUC (Area Under the ROC Curve) for AI diagnosis was very high at 0.999, and interestingly, NBI , AI diagnosis based on white light observation images tended to be better than magnified observation or indigo carmine staining (p=0.662, p<0.0001, P<0.0001).It was suggested that gastric cancer molecular markers may be effective for predictive diagnosis, and AI diagnosis for identification diagnosis. A paper will be submit to Journal of Clinical Laboratory Analysis soon.

Academic Significance and Societal Importance of the Research Achievements

従来からの、胃内視鏡検査による診断能の限界を、胃洗浄廃液を用いた分子診断とAI診断を組み合わせることで、医師が内視鏡下、肉眼診断が困難な病変も診断可能となる可能性が示唆された。医師偏在、首都圏以外の専門医不足問題に対する解説策の一つとなる可能性から、社会的な意義は高いと考えている。

Research Products

• [Journal Article] Impact of mixed‐infection rate of clarithromycin‐susceptible and clarithromycin‐resistant Helicobacter pylori strains on the success rate of clarithromycin‐based eradication treatment (2024)
  • Author(s): Tsuda Momoko、Watanabe Yoshiyuki、Oikawa Ritsuko、Watanabe Ryosuke、Higashino Masayuki、Kubo Kimitoshi、Yamamoto Hiroyuki、Itoh Fumio、Kato Mototsugu
  • Journal Title: Helicobacter Volume: 29 Issue: 2
  • DOI: 10.1111/hel.13062
  • Peer Reviewed
• [Presentation] 消化管関連遺伝子群に注目したコロナワクチン接種後の経時的トランスクリプト ーム解析 (2024)
  • Author(s): 渡邊嘉行
  • Organizer: 第20回 日本消化管学会総会 ワークショップ4
• [Presentation] Time - lapse Transcriptome Analysis after COVID - 19 Vaccination Focusing on Gut - Associated Gene Clusters (2023)
  • Author(s): Yoshiyuki Watanabe
  • Organizer: Asian Pacific Digestive Week 2023 Bangkok
  • Int'l Joint Research
• [Presentation] Combination of Artificial Intelligence - based Endoscopy and miR148a Methylation for Gastric Indefinite Dysplasia Diagnosis (2023)
  • Author(s): Yoshiyuki Watanabe
  • Organizer: GUT 2023 Malaysia
  • Int'l Joint Research