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ASADA KEN  浅田 健

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Asada Ken  浅田 健

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Researcher Number 70773414
Other IDs
Affiliation (Current) 2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 上級研究員
2025: 国立研究開発法人国立がん研究センター, 研究所, 外来研究員
Affiliation (based on the past Project Information) *help 2022 – 2023: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 上級研究員
2019 – 2021: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員
2018: 国立研究開発法人国立がん研究センター, 研究所, 外来研究員
Review Section/Research Field
Principal Investigator
Basic Section 50010:Tumor biology-related / Basic Section 38060:Applied molecular and cellular biology-related
Except Principal Investigator
Basic Section 56040:Obstetrics and gynecology-related
Keywords
Principal Investigator
ゲノム・エピゲノム / 創薬ターゲット / 予後予測因子 / マルチオミックス解析 / 肺がん / ヘテロ核酸を用いた遺伝子制御 / DNA/RNAヘテロ核酸 (HDO) / 核酸医療 / 一本鎖核酸 / ヘテロ2本鎖核酸 / ヌクレアーゼ / 遺伝子発現制御 / 核酸医薬 … More
Except Principal Investigator
… More エピゲノム / ロボット / ChIP-seq / マルチオミックス解析 / ロボット技術 / 人工知能 / 卵巣がん Less
  • Research Projects

    (3 results)
  • Research Products

    (44 results)
  • Co-Researchers

    (4 People)
  •  エンハンサー領域に着目した肺がんpan-negative症例の統合オミックス解析Principal Investigator

    • Principal Investigator
      浅田 健
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 50010:Tumor biology-related
    • Research Institution
      Institute of Physical and Chemical Research
  •  Next generation epigenomics using artificial intelligence and robotics in ovarian cancer

    • Principal Investigator
      Komatsu Masaaki
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 56040:Obstetrics and gynecology-related
    • Research Institution
      Institute of Physical and Chemical Research
  •  Identification and characterization of DNA/RNA heteroduplex oligonucleotide cleaving enzymePrincipal Investigator

    • Principal Investigator
      Asada Ken
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 38060:Applied molecular and cellular biology-related
    • Research Institution
      Institute of Physical and Chemical Research
      National Cancer Center Japan

All 2023 2022 2021 2020 2019

All Journal Article Presentation Book

  • [Book] 医学のあゆみ AIが切り拓く未来の医療2020

    • Author(s)
      浅田健, 浜本隆二
    • Total Pages
      919
    • Publisher
      医歯薬出版
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Journal Article] Analysis of super-enhancer using machine learning and its application to medical biology2023

    • Author(s)
      Hamamoto Ryuji、Takasawa Ken、Shinkai Norio、Machino Hidenori、Kouno Nobuji、Asada Ken、Komatsu Masaaki、Kaneko Syuzo
    • Journal Title

      Briefings in Bioinformatics

      Volume: - Issue: 3

    • DOI

      10.1093/bib/bbad107

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-22K07180, KAKENHI-PROJECT-21K15519
  • [Journal Article] Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability2023

    • Author(s)
      Takasawa K, Asada K, Kaneko S, Shiraishi K, Machino H, Takahashi S, Shinkai N, Kouno N, Kobayashi K, Komatsu M, Mizuno T, Okubo Y, Mukai M, Yoshida T, Yoshida Y, Horinouchi H, Watanabe S, Ohe Y, Yatabe Y, Kohno T, Hamamoto R
    • Journal Title

      Experimental and Molecular Medicine

      Volume: 56 Issue: 3 Pages: 646-655

    • DOI

      10.1038/s12276-024-01173-7

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K07180, KAKENHI-PROJECT-22K07681, KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-19H03429, KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-23K27449
  • [Journal Article] Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information2022

    • Author(s)
      Hamamoto R, Koyama T, Kouno N, Yasuda T, Yui S, Sudo K, Hirata M, Sunami K, Kubo T, Takasawa K, Takahashi S, Machino H, Kobayashi K, Asada K, Komatsu M, Kaneko S, Yatabe Y, Yamamoto N
    • Journal Title

      Experimental Biology and Oncology

      Volume: 11 Issue: 1 Pages: 8-8

    • DOI

      10.1186/s40164-022-00333-7

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K07180, KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-20H03461, KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-23K24468
  • [Journal Article] The metabolic stress-activated checkpoint LKB1-MARK3 axis acts as a tumor suppressor in high-grade serous ovarian carcinoma2022

    • Author(s)
      Hidenori Machino, Syuzo Kaneko, Masaaki Komatsu, Noriko Ikawa, Ken Asada, Ryuichiro Nakato, Kanto Shozu, Ai Dozen, Kenbun Sone, Hiroshi Yoshida, Tomoyasu Kato, Katsutoshi Oda, Yutaka Osuga, Tomoyuki Fujii, Gottfried von Keudell, Vassiliki Saloura, Ryuji Hamamoto
    • Journal Title

      Communications Biology

      Volume: 5 Issue: 1 Pages: 39-39

    • DOI

      10.1038/s42003-021-02992-4

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K09768, KAKENHI-PROJECT-19K09775, KAKENHI-PROJECT-20H03820, KAKENHI-PROJECT-21H03550, KAKENHI-PROJECT-21K09466, KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-21H03074
  • [Journal Article] Appkication of non-negative matrix fractorization in oncology: one approach for establishing precision medicine2022

    • Author(s)
      Hamamoto R, Takasawa K, Machino H, Kobayashi K, Takahashi S, Bolatkan A, Shinkai N, Sakai A, Aoyama R, Yamada M, Asada K, Komatsu M, Okamoto K, Kameoka H, Kaneko S
    • Journal Title

      Briefings in Bioinformatics

      Volume: 23 Issue: 4

    • DOI

      10.1093/bib/bbac246

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K07180, KAKENHI-PROJECT-21K15519, KAKENHI-PROJECT-21H03550
  • [Journal Article] Shadow Estimation for Ultrasound Images Using Auto-Encoding Structures and Synthetic Shadows2021

    • Author(s)
      Yasutomi Suguru、Arakaki Tatsuya、Matsuoka Ryu、Sakai Akira、Komatsu Reina、Shozu Kanto、Dozen Ai、Machino Hidenori、Asada Ken、Kaneko Syuzo、Sekizawa Akihiko、Hamamoto Ryuji、Komatsu Masaaki
    • Journal Title

      Applied Sciences

      Volume: 11 Issue: 3 Pages: 1127-1127

    • DOI

      10.3390/app11031127

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K05550, KAKENHI-PROJECT-21K09456
  • [Journal Article] Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology2021

    • Author(s)
      Ken Asada, Syuzo Kaneko, Ken Takasawa, Hidenori Machino, Satoshi Takahashi, Norio Shinkai, Ryo Shimoyama, Masaaki Komatsu, Ryuji Hamamoto
    • Journal Title

      Frontiers in Oncology

      Volume: 11 Pages: 666937-666937

    • DOI

      10.3389/fonc.2021.666937

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K09768, KAKENHI-PROJECT-21H03550
  • [Journal Article] Separation-related rapid nuclear transport of DNA/RNA heteroduplex oligonucleotide: unveiling distinctive intracellular trafficking2021

    • Author(s)
      Ono Daisuke、Asada Ken、Yui Daishi、Sakaue Fumika、Yoshioka Kotaro、Nagata Tetsuya、Yokota Takanori
    • Journal Title

      Molecular Therapy - Nucleic Acids

      Volume: 23 Pages: 1360-1370

    • DOI

      10.1016/j.omtn.2020.11.022

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K05550, KAKENHI-PROJECT-17H06109, KAKENHI-PROJECT-19H01016
  • [Journal Article] Detection of Cardiac Structural Abnormalities in Fetal Ultrasound Videos Using Deep Learning2021

    • Author(s)
      Komatsu Masaaki、Sakai Akira、Komatsu Reina、Matsuoka Ryu、Yasutomi Suguru、Shozu Kanto、Dozen Ai、Machino Hidenori、Hidaka Hirokazu、Arakaki Tatsuya、Asada Ken、Kaneko Syuzo、Sekizawa Akihiko、Hamamoto Ryuji
    • Journal Title

      Applied Sciences

      Volume: 11 Issue: 1 Pages: 371-371

    • DOI

      10.3390/app11010371

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K05550, KAKENHI-PROJECT-21K09456
  • [Journal Article] Genome-Wide Chromatin Analysis of FFPE Tissues Using a Dual-Arm Robot with Clinical Potential2021

    • Author(s)
      Kaneko S、Mitsuyama T、Shiraishi K、Ikawa N、Shozu K、Dozen A、Machino H、Asada K、Komatsu M、Kukita A、Sone K、Yoshida H、Motoi N、Hayami S、Yoneoka Y、Kato T、Kohno T、Natsume T、Keudell GV、Saloura V、Yamaue H、Hamamoto R
    • Journal Title

      Cancers

      Volume: 13 Issue: 9 Pages: 2126-2126

    • DOI

      10.3390/cancers13092126

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11542, KAKENHI-PROJECT-19K09768, KAKENHI-PROJECT-20H03820
  • [Journal Article] Critical Roles of N6-Methyladenosine (m6A) in Cancer and Virus Infection2020

    • Author(s)
      Asada Ken、Bolatkan Amina、Takasawa Ken、Komatsu Masaaki、Kaneko Syuzo、Hamamoto Ryuji
    • Journal Title

      Biomolecules

      Volume: 10 Issue: 7 Pages: 1071-1071

    • DOI

      10.3390/biom10071071

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K09768, KAKENHI-PROJECT-18K05550
  • [Journal Article] Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information2020

    • Author(s)
      Dozen Ai、Komatsu Masaaki、Sakai Akira、Komatsu Reina、Shozu Kanto、Machino Hidenori、Yasutomi Suguru、Arakaki Tatsuya、Asada Ken、Kaneko Syuzo、Matsuoka Ryu、Aoki Daisuke、Sekizawa Akihiko、Hamamoto Ryuji
    • Journal Title

      Biomolecules

      Volume: 10 Issue: 11 Pages: 1526-1526

    • DOI

      10.3390/biom10111526

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Journal Article] Model-Agnostic Method for Thoracic Wall Segmentation in Fetal Ultrasound Videos2020

    • Author(s)
      Shozu Kanto、Komatsu Masaaki、Sakai Akira、Komatsu Reina、Dozen Ai、Machino Hidenori、Yasutomi Suguru、Arakaki Tatsuya、Asada Ken、Kaneko Syuzo、Matsuoka Ryu、Nakashima Akitoshi、Sekizawa Akihiko、Hamamoto Ryuji
    • Journal Title

      Biomolecules

      Volume: 10 Issue: 12 Pages: 1691-1691

    • DOI

      10.3390/biom10121691

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Journal Article] Two Secreted Proteoglycans, Activators of Urothelial Cell?Cell Adhesion, Negatively Contribute to Bladder Cancer Initiation and Progression2020

    • Author(s)
      Papadaki V, Asada K, Watson JK, Tamura T, Leung A, Hopkins J, Dellett M, Sasai N, Davaapil H, Nik-Zainal S, Longbottom R, Nakakido M, Torii R, Veerakumarasivam A, Kaneko S, Sagoo MS, Murphy G, Mitani A, Tsumoto K, Kelly JD, Hamamoto R, Ohnuma SI
    • Journal Title

      Cancers

      Volume: 12 Issue: 11 Pages: 3362-3362

    • DOI

      10.3390/cancers12113362

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H03429, KAKENHI-PROJECT-18K05550, KAKENHI-PROJECT-18K11542
  • [Journal Article] Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer2020

    • Author(s)
      Asada Ken、Kobayashi Kazuma、Joutard Samuel、Tubaki Masashi、Takahashi Satoshi、Takasawa Ken、Komatsu Masaaki、Kaneko Syuzo、Sese Jun、Hamamoto Ryuji
    • Journal Title

      Biomolecules

      Volume: 10 Issue: 4 Pages: 524-524

    • DOI

      10.3390/biom10040524

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-18H04908, KAKENHI-PROJECT-19H03429, KAKENHI-PROJECT-18K05550
  • [Journal Article] Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine2020

    • Author(s)
      Hamamoto Ryuji、Suvarna Kruthi、Yamada Masayoshi、Kobayashi Kazuma、Shinkai Norio、Miyake Mototaka、Takahashi Masamichi、Jinnai Shunichi、Shimoyama Ryo、Sakai Akira、Takasawa Ken、Bolatkan Amina、Shozu Kanto、Dozen Ai、Machino Hidenori、Takahashi Satoshi、Asada Ken、Komatsu Masaaki、Sese Jun、Kaneko Syuzo
    • Journal Title

      Cancers

      Volume: 12 Issue: 12 Pages: 3532-3532

    • DOI

      10.3390/cancers12123532

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19K09768, KAKENHI-PROJECT-18K05550, KAKENHI-PROJECT-18K11542
  • [Journal Article] Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data2020

    • Author(s)
      Takahashi Satoshi、Asada Ken、Takasawa Ken、Shimoyama Ryo、Sakai Akira、Bolatkan Amina、Shinkai Norio、Kobayashi Kazuma、Komatsu Masaaki、Kaneko Syuzo、Sese Jun、Hamamoto Ryuji
    • Journal Title

      Biomolecules

      Volume: 10 Issue: 10 Pages: 1460-1460

    • DOI

      10.3390/biom10101460

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K17982, KAKENHI-PROJECT-18K05550, KAKENHI-PROJECT-18K11542
  • [Journal Article] Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine2019

    • Author(s)
      Hamamoto Ryuji、Komatsu Masaaki、Takasawa Ken、Asada Ken、Kaneko Syuzo
    • Journal Title

      Biomolecules

      Volume: 10 Issue: 1 Pages: 62-62

    • DOI

      10.3390/biom10010062

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K11542, KAKENHI-PROJECT-19K09768, KAKENHI-PUBLICLY-18H04908, KAKENHI-PROJECT-19H03429
  • [Presentation] Integrated multi-omics analysis using WGS, ChIP-seq, and RNA-seq data for pan-negative lung adenocarcinoma2023

    • Author(s)
      Ken Asada, Syuzo Kaneko, Ken Takasawa, Kouya Shiraishi, Hidehito Horinouchi, Yukihide Yoshida, Masami Mukai, Norio Shinkai, Yasushi Yatabe, Takashi Kohno, Ryuji Hamamoto
    • Organizer
      第82回日本癌学会学術総会、インターナショナルセッション 口頭発表(英語) (2023.9.21 Yokohama)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] 解析対象サンプル群のマルチオミックス情報及び転写因子公共情報に基づいたがん関連スーパーエンハンサー評価プラットフォームの構築2023

    • Author(s)
      新海典夫、金子修三、浅田健、高澤建、小松正明、浜本隆二
    • Organizer
      第5回日本メディカルAI学会学術集会、口頭発表 (2023.6.18 東京)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] マルチオミックス情報及び公共転写因子情報による機械学習を活用したがん関連スーパーエンハンサー評価実施プラットフォーム2023

    • Author(s)
      新海典夫、金子修三、浅田健、高澤建、小松正明、町野英徳、浜本隆二
    • Organizer
      第82回日本癌学会学術総会、口頭発表(日本語) (2023.9.21 Yokohama)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] Multi-omics analysis revealed novel fusion genes and NUMTs in lung cancer2023

    • Author(s)
      ボラトカンアミナ、浅田健、金子修三、小松正明、浜本隆二
    • Organizer
      第5回日本メディカルAI学会学術集会、ポスター発表 (2023.6.17 東京)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] AIを活用した日本人肺がんの統合的マルチオミックス解析2023

    • Author(s)
      浅田健、浜本隆二
    • Organizer
      第27回日本がん分子標的治療学会学術集会、口頭発表 (2023.6.23 佐賀)
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] Identificationand implication of nuclear-mitochondria segments (NUMTs) in lung adenocarcinoma development2023

    • Author(s)
      Amina Bolatkan, Ken Asada, Syuzo Kaneko, Masaaki Komatsu, Ryuji Hamamoto
    • Organizer
      第82回日本癌学会学術総会、ポスター発表(英語) (2023.9.21 Yokohama)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] アンメットニーズ克服に向けた肺がんpan-negative症例におけるマルチオミックス解析2023

    • Author(s)
      浅田健、ボラトカンアミナ、浜本隆二
    • Organizer
      第5回日本メディカルAI学会学術集会、口頭発表 (2023.6.18 東京)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] Multi-omics analysis using machine learning and implication for cancer studies2022

    • Author(s)
      Ken Asada, Syuzo Kaneko, Ken Takasawa, Kouya Shiraishi, Hidehito Horinouchi, Yukihide Yoshida, Masami Mukai, Norio Shinkai, Yasushi Yatabe, Takashi Kohno, Ryuji Hamamoto
    • Organizer
      第81回日本癌学会、口頭発表(英語) (2022.9.29 Yokohama)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] 肺がんPan-negative症例のゲノム・エピゲノム・トランスクリプトーム情報を含めたマルチオミックス解析2022

    • Author(s)
      浅田健、新海典夫、金子修三、高澤建、浜本隆二
    • Organizer
      第4回日本メディカルAI学会学術集会、口頭発表 (2022.6.10 仙台)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] Cancer-related super-enhancer evaluation system using TFs and gene expression data from public ChIP-seq and RNA-seq data2022

    • Author(s)
      Norio Shinkai, Syuzo Kaneko, Ken Asada, Ken Takasawa, Masaaki Komatus, Ryuji Hamamoto
    • Organizer
      第81回日本癌学会、ポスター発表(日本語) (2022.9.29 Yokohama)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] 公共ChIP-seqデータセットによるoncogenic TF解析情報を用いたスーパーエンハンサー評価システムの構築2022

    • Author(s)
      新海典夫、金子修三、浅田健、高澤建、小松正明、浜本隆二
    • Organizer
      第4回日本メディカルAI学会学術集会、口頭発表 (2022.6.10 仙台)
    • Data Source
      KAKENHI-PROJECT-22K07180
  • [Presentation] Integrative analysis revealed early epigenetic changes in high-grade serous ovarian carcinogenesis2021

    • Author(s)
      Hidenori Machino, Ai Dozen, Masaaki Komatsu, Kohei Nakamura, Kanto Shozu, Syuzo Kaneko, Ken Asada, Hiroshi Yoshida, Tomoyasu Kato, Kentaro Nakayama, Satoru Kyo, Ryuji Hamamoto
    • Organizer
      第80回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K09768
  • [Presentation] Epigenetic and functional analyses of PRELP gene in ovarian cancer2021

    • Author(s)
      Masaaki Komatsu, Ai Dozen, Kanto Shozu, Syuzo Kaneko, Hidenori Machino, Ken Asada, Hiroshi Yoshida, Tomoyasu Kato, Ryuji Hamamoto
    • Organizer
      第80回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K09768
  • [Presentation] Biological mechanisms of PRELP in ovarian cancer2020

    • Author(s)
      生水貫人, 小松正明, 金子修三, 同前愛, 町野英徳, 中島彰俊, 齋藤滋, 浅田健, 浜本隆二
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Presentation] Overexpression of METTL6 is involved in human hepatocellular carcinoma2020

    • Author(s)
      ボラトカン アミーナ, 金子修三, 浅田健, 浜本隆二
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Presentation] Clinical epigenetic analysis with robotics in ovarian cancer.2020

    • Author(s)
      Masaaki Komatsu, Syuzo Kaneko, Ken Asada, Hiroshi Yoshida, Tomoyasu Kato, Ryuji Hamamoto.
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K09768
  • [Presentation] 肺がん予後予測を志向したマルチオミックス解析2020

    • Author(s)
      浅田健、小林和馬、高橋慧、高澤建、小松正明、金子修三、浜本隆二
    • Organizer
      第2回日本メディカルAI学会学術集会
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Presentation] Biological mechanisms of PRELP in ovarian cancer.2020

    • Author(s)
      Kanto Shozu, Masaaki Komatsu, Syuzo Kaneko, Ai Dozen, Hidenori Machino, Akitoshi Nakashima, Shigeru Saito, Ken Asada, Ryuji Hamamoto.
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K09768
  • [Presentation] Clinical epigenetic analysis with robotics in ovarian cancer2020

    • Author(s)
      小松正明, 金子修三, 浅田健, 吉田裕, 加藤友康, 浜本隆二
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Presentation] Intefrative multi-omics analysis of multistage tumorigenesis in high-grade serous ovarian cancer2020

    • Author(s)
      同前愛, 小松正明, 町野英徳, 中村康平, 金子修三, 生水貫人, 浅田健, 千代田達幸, 中山健太郎, 青木大輔, 京哲, 浜本隆二
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Presentation] Uncovering Prognosis-related Genes and Pathways by Multi-omics Analysis in Lung Adenocarcinoma2020

    • Author(s)
      浅田健, 小林和馬, 高橋慧, 高澤建, 小松正明, 金子修三, 浜本隆二
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Presentation] LKB1-MARK3 axis is a novel stress-activated cell cycle checkpoint and sysregulated in high-grade serous obarian cancer2020

    • Author(s)
      町野英徳, 金子修三, 小松正明, 浅田健, 同前愛, 生水貫人, 浜本隆二
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-18K05550
  • [Presentation] LKB1-MARK3 axis is a novel stress-activated cell cycle checkpoint and dysregulated in high-grade serous ovarian cancer.2020

    • Author(s)
      Hidenori Machino, Syuzo Kaneko, Masaaki Komatsu, Ken Asada, Ai Dozen, Kanto Shozu, Ryuji Hamamoto.
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K09768
  • [Presentation] Integrative multi-omics analysis of multistage carcinogenesis in high-grade serous ovarian cancer.2020

    • Author(s)
      Ai Dozen, Masaaki Komatsu, Hidenori Machino, Kohei Nakamura, Syuzo Kaneko, Kanto Shozu, Ken Asada, Tatsuaki Chiyoda, Kentaro Nakayama, Daisuke Aoki, Satoru Kyo, Ryuji Hamamoto.
    • Organizer
      第79回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K09768
  • [Presentation] Clinical epigenetics using artificial intelligence and robotics in ovarian cancer2019

    • Author(s)
      Masaaki Komatsu, Syuzo Kaneko, Ken Asada, Tomoyasu Kato, Ryuji Hamamoto
    • Organizer
      第78回日本癌学会学術総会
    • Data Source
      KAKENHI-PROJECT-19K09768
  • 1.  浜本 隆二 (80321800)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 29 results
  • 2.  Komatsu Masaaki (70750842)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 11 results
  • 3.  金子 修三 (10777006)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 14 results
  • 4.  高橋 慧
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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