Rchr
J-GLOBAL ID:200901022351326370   Update date: Apr. 16, 2024

Yasutoshi Tatsumi

タツミ ヤストシ | Yasutoshi Tatsumi
Research field  (4): Genomics ,  Cell biology ,  Molecular biology ,  Genetics
Research keywords  (16): 希少がん ,  小児がん ,  神経芽腫 ,  自然退縮 ,  ミトコンドリア異常 ,  細胞死とがん ,  がんのマーカー ,  ゲノム解析 ,  骨肉腫 ,  肉腫 ,  胃癌 ,  膵癌 ,  マイクロ RNA ,  オルガノイド ,  細胞増殖 ,  DNA複製
Research theme for competitive and other funds  (11):
  • 2023 - 2026 神経芽腫の悪性化と自然退縮メカニズムの解明
  • 2021 - 2024 胃がんに関連したARID2遺伝子の新規SNP機能解析及びその臨床応用
  • 2020 - 2023 神経芽腫の自然退縮におけるミトコンドリア恒常性の意義とその破綻による悪性化機構
  • 2018 - 2021 Analysis of gastrointestinal cancer risk-related function SNP and its clinical application
  • 2017 - 2021 Genomic analysis for detecting therapeutic targets in clear cell sarcoma
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Papers (21):
  • Daisuke Hoshi, Emiri Kita, Yoshiaki Maru, Hiroyuki Kogashi, Yuki Nakamura, Yasutoshi Tatsumi, Osamu Shimozato, Kazuyoshi Nakamura, Kentaro Sudo, Akiko Tsujimoto, et al. Derivation of Pancreatic Acinar Cell Carcinoma Cell Line HS-1 as a Patient-derived Tumor Organoid. Cancer Science. 2023. 114. 3. 1165-1179
  • Yosuke Iwatate, Hajime Yokota, Isamu Hoshino, Fumitaka Ishige, Naoki Kuwayama, Makiko Itami, Yasukuni Mori, Satoshi Chiba, Hidehito Arimitsu, Hiroo Yanagibashi, et al. Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer. PLOS ONE. 2022. 17. 6. e0268630-e0268630
  • Yosuke Iwatate, Hajime Yokota, Isamu Hoshino, Fumitaka Ishige, Naoki Kuwayama, Makiko Itami, Yasukuni Mori, Satoshi Chiba, Hidehito Arimitsu, Hiroo Yanagibashi, et al. Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer. International journal of oncology. 2022. 60. 5
  • Isamu Hoshino, Hajime Yokota, Yosuke Iwatate, Yasukuni Mori, Naoki Kuwayama, Fumitaka Ishige, Makiko Itami, Takashi Uno, Yuki Nakamura, Yasutoshi Tatsumi, et al. Prediction of the differences in tumor mutation burden between primary and metastatic lesions by radiogenomics. Cancer Science. 2021. 113. 1. 229-239
  • Shintaro Iwata, Yasutoshi Tatsumi, Tsukasa Yonemoto, Akinobu Araki, Makiko Itami, Hiroto Kamoda, Toshinori Tsukanishi, Yoko Hagiwara, Hideyuki Kinoshita, Takeshi Ishii, et al. CDK4 overexpression is a predictive biomarker for resistance to conventional chemotherapy in patients with osteosarcoma. Oncology reports. 2021. 46. 1
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MISC (1):
  • Nakamura Yohko, Tatsumi Yasutoshi, Okumura Kazuhiro, Takatori Atsushi, Maru Yoshiaki, Yokoi Sana, Ohira Miki, Nabeya Yoshihiro, Fukasawa Satoshi, Katayama Jin, et al. Analysis of non-synonymous genetic variations associated with cancer risk by a prospective cohort study. CANCER SCIENCE. 2018. 109. 767
Work history (11):
  • 2024/04 - 現在 千葉県がんセンター研究所 がん治療開発グループ・小児難治がん研究室 上席研究員
  • 2023/04 - 2024/03 金沢大学がん進展制御研究所
  • 2022/10 - 2024/03 千葉県がんセンター研究所 発がん研究グループ・発がん制御研究部 上席研究員
  • 2022/04 - 2022/09 Chiba cancer Center Research Institute
  • 2020/04 - 2022/03 千葉県がんセンター研究所 がん予防センター・腫瘍ゲノム研究室 上席研究員
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Association Membership(s) (3):
日本分子生物学会 ,  日本癌学会 ,  日本がん分子標的治療学会
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