Development of artificial intelligence system to support postoperative chemotherapy

• Project/Area Number: 19K09172
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 55020:Digestive surgery-related
• Research Institution: Osaka University
• Principal Investigator: SATOH Taroh 大阪大学, 医学系研究科, 寄附講座教授 (40368303)
• Co-Investigator(Kenkyū-buntansha): 今野 雅允 東京理科大学, 研究推進機構生命医科学研究所, 助教 (80618207) ; 石井 秀始 大阪大学, 医学系研究科, 特任教授(常勤) (10280736) ; 小関 準 名古屋大学, 医学系研究科, 特任准教授 (20616669)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Project Status: Completed (Fiscal Year 2021)
• Budget Amount: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000); Fiscal Year 2021: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000); Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000); Fiscal Year 2019: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
• Keywords: 化学療法 / 人工知能 / シークエンス

Outline of Research at the Start

我々は人工知能が最も得意とする画像認識技術に着目しこれを、がんの化学療法に応用する　ことを目指す。がん細胞のDNA, RNAシークエンスを実施し、そのデータを基に効果のある抗がん剤の組み合わせを決定することができれば、術後化学療法の効果は飛躍的に上昇し結果としてがんの予後改善につながると考えられる。そこで本研究では約200種のがん細胞のDNA,RNAシークエンスデータおよび各々の細胞の265種の抗がん剤への感受性データから人工知能(AI)を用いて深層学習を行いDNA,RNAシークエンスデータから最適な抗がん剤の組み合わせを導き出す治療支援システムの構築を目指す。

Outline of Final Research Achievements

Deep learning is performed using artificial intelligence (AI) from DNA and RNA sequence data of about 200 types of cancer cells and susceptibility data of each cell to 265 types of anticancer drugs, and optimal from DNA and RNA sequence data. We aimed to build a treatment support system that derives combinations of anticancer drugs. We were able to build an information infrastructure for extracting the characteristic expressions of machine learning of big data by genomic information and optimizing drug therapy and immune checkpoint inhibitors for intractable gastrointestinal cancer based on the results. .. This finding can be applied to the optimization of radiation therapy and surgery in addition to drug therapy, and has contributed to social implementation in clinical practice including AI hospitals.

Academic Significance and Societal Importance of the Research Achievements

本研究ではDNA,RNAシークエンスデータから最適な抗がん剤の組み合わせを導き出す治療支援システムの構築を目指す。本研究は生命科学医療分野における超スマート社会の実現に寄与する。抗がん剤感受性データおよびがんの二次元化シークエンスデータを用いて個々の患者でそれぞれ最適な抗がん剤の組み合わせを提示し、それに基づいて医師が治療法の決定を行うことができる真の個別化医療を実現化する。遺伝子情報の二次元バーコード技術はがんのみにとどまらず様々な疾患の理解、生命科学現象の理解を助ける技術となり、医学、生命科学が大きく前進する可能性が秘められている。

Research Products

• [Journal Article] Randomized phase II study of SOX+B-mab versus SOX+C-mab in patients with previously untreated recurrent advanced colorectal cancer with wild-type KRAS (MCSGO-1107 study) (2021)
  • Author(s): Nishizawa Yujiro、Haraguchi Naotsugu、Kim Hirotoshi、Ide Yoshihito、Nakata Ken、Okamura Shu、Kudo Toshihiro、Satoh Taroh、Uemura Mamoru、Matsuda Chu、Mizushima Tsunekazu、Murata Kohei、Doki Yuichiro、Eguchi Hidetoshi
  • Journal Title: BMC Cancer Volume: 21 Issue: 1 Pages: 947-947
  • DOI: 10.1186/s12885-021-08690-y
  • Peer Reviewed / Open Access
• [Journal Article] Pre-emptive oral clarithromycin reduces the skin toxicity of panitumumab treatment for metastatic colorectal cancer (2021)
  • Author(s): Nakata Ken、Komori Takamichi、Saso Kazuhiro、Ota Hirofumi、Kagawa Yoshinori、Morita Shunji、Noura Shingo、Hayashi Nobuyasu、Uemura Mamoru、Matsuda Chu、Satoh Taroh、Mizushima Tsunekazu、Murata Kohei、Doki Yuichiro、Eguchi Hidetoshi、Multicenter Clinical Study Group of Osaka, Colorectal Cancer Treatment Group (MCSGO)
  • Journal Title: International Journal of Colorectal Disease Volume: 36 Issue: 12 Pages: 2621-2627
  • DOI: 10.1007/s00384-021-04002-9
  • Peer Reviewed / Open Access
• [Journal Article] Comprehensive profiling of novel epithelial-mesenchymal transition mediators and their clinical significance in colorectal cancer (2021)
  • Author(s): Ishikawa Satoshi、Nishida Naohiro、Fujino Shiki、Ogino Takayuki、Takahashi Hidekazu、Miyoshi Norikatsu、Uemura Mamoru、Satoh Taroh、Yamamoto Hirofumi、Mizushima Tsunekazu、Doki Yuichiro、Eguchi Hidetoshi
  • Journal Title: Scientific Reports Volume: 11 Issue: 1 Pages: 11759-11759
  • DOI: 10.1038/s41598-021-91102-9
  • Peer Reviewed / Open Access
• [Journal Article] Long‐term results of a randomized controlled trial comparing neoadjuvant Adriamycin, cisplatin, and 5‐fluorouracil vs docetaxel, cisplatin, and 5‐fluorouracil followed by surgery for esophageal cancer (OGSG1003) (2020)
  • Author(s): Sugimura Keijiro、Yamasaki Makoto、Yasuda Takushi、Yano Masahiko、Hirao Motohiro、Fujitani Kazumasa、Kimura Yutaka、Miyata Hiroshi、Motoori Masaaki、Takeno Atsushi、Shiraishi Osamu、Makino Tomoki、Kii Takayuki、Tanaka Koji、Satoh Taro、Mori Masaki、Doki Yuichiro
  • Journal Title: Annals of Gastroenterological Surgery Volume: 5 Issue: 1 Pages: 75-82
  • DOI: 10.1002/ags3.12388
  • Peer Reviewed / Open Access
• [Journal Article] Multicentre biomarker cohort study on the efficacy of nivolumab treatment for gastric cancer (2020)
  • Author(s): Hagi Takaomi、Kurokawa Yukinori、Kawabata Ryohei、Omori Takeshi、Matsuyama Jin、Fujitani Kazumasa、Hirao Motohiro、Akamaru Yusuke、Takahashi Tsuyoshi、Yamasaki Makoto、Satoh Taroh、Eguchi Hidetoshi、Doki Yuichiro
  • Journal Title: British Journal of Cancer Volume: 123 Issue: 6 Pages: 965-972
  • DOI: 10.1038/s41416-020-0975-7
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Controlling lymph node micrometastases by neoadjuvant chemotherapy affects the prognosis in advanced esophageal squamous cell carcinoma (2020)
  • Author(s): Hiraki Yoko、Kimura Yutaka、Imano Motohiro、Kato Hiroaki、Iwama Mitsuru、Shiraishi Osamu、Yasuda Atsushi、Shinkai Masayuki、Makino Tomoki、Motoori Masaaki、Yamasaki Makoto、Miyata Hiroshi、Satou Takao、Satoh Taroh、Furukawa Hiroshi、Yano Masahiko、Doki Yuichiro、Yasuda Takushi
  • Journal Title: Surgery Today Volume: 51 Issue: 1 Pages: 118-126
  • DOI: 10.1007/s00595-020-02059-7
  • Peer Reviewed
• [Journal Article] Convolutional Neural Network Can Recognize Drug Resistance of Single Cancer Cells (2020)
  • Author(s): Yanagisawa Kiminori、Toratani Masayasu、Asai Ayumu、Konno Masamitsu、Niioka Hirohiko、Mizushima Tsunekazu、Satoh Taroh、Miyake Jun、Ogawa Kazuhiko、Vecchione Andrea、Doki Yuichiro、Eguchi Hidetoshi、Ishii Hideshi
  • Journal Title: International Journal of Molecular Sciences Volume: 21 Issue: 9 Pages: 3166-3166
  • DOI: 10.3390/ijms21093166
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Journal Article] Distinct methylation levels of mature microRNAs in gastrointestinal cancers (2019)
  • Author(s): Konno Masamitsu、Koseki Jun、Asai Ayumu、Yamagata Akira、Shimamura Teppei、Motooka Daisuke、Okuzaki Daisuke、Kawamoto Koichi、Mizushima Tsunekazu、Eguchi Hidetoshi、Takiguchi Shuji、Satoh Taroh、Mimori Koshi、Ochiya Takahiro、Doki Yuichiro、Ofusa Ken、Mori Masaki、Ishii Hideshi
  • Journal Title: Nature Communications Volume: 10 Issue: 1 Pages: 3888-3888
  • DOI: 10.1038/s41467-019-11826-1
  • Peer Reviewed / Open Access
• [Journal Article] Application of C. elegans cancer screening test for the detection of pancreatic tumor in genetically engineered mice (2019)
  • Author(s): Ueda Yuji、Kawamoto Koichi、Konno Masamitsu、Noguchi Kozo、Kaifuchi Satoru、Satoh Taroh、Eguchi Hidetoshi、Doki Yuichiro、Hirotsu Takaaki、Mori Masaki、Ishii Hideshi
  • Journal Title: Oncotarget Volume: 10 Issue: 52 Pages: 5412-5418
  • DOI: 10.18632/oncotarget.27124
  • Peer Reviewed / Open Access
• [Journal Article] A Hydrogen Peroxide Activatable Gemcitabine Prodrug for the Selective Treatment of Pancreatic Ductal Adenocarcinoma (2019)
  • Author(s): Matsushita Katsunori、Konno Masamitsu、Eguchi Hidetoshi、Koseki Jun、Satoh Taroh、Doki Yuichiro、Mori Masaki、Ishii Hideshi、Obika Satoshi
  • Journal Title: ChemMedChem Volume: 14 Issue: 15 Pages: 1384-1391
  • DOI: 10.1002/cmdc.201900324
  • Peer Reviewed / Open Access