Iwatate Yosuke 岩立陽祐

Researcher Number	10815731
Affiliation (Current)	2025: 千葉県がんセンター(研究所), 肝胆膵外科, 医長
Affiliation (based on the past Project Information) *help	2020 – 2022: 千葉県がんセンター(研究所), 肝胆膵外科, 医長
Review Section/Research Field	Principal Investigator Basic Section 55010:General surgery and pediatric surgery-related
Keywords	Principal Investigator Radiomics / Genomics / artificial intelligence / pancreatic cancer / ITGB1 / ITGAV / Radiogenomics / 膵管腺癌 / 膵臓癌

Gene mutation/expression prediction from clinical images using artificial intelligence technology in pancreatic cancerPrincipal Investigator
- Principal Investigator
  
  Iwatate Yosuke
- Project Period (FY)
  2020 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 55010:General surgery and pediatric surgery-related
- Research Institution
  Chiba Cancer Center (Research Institute)

All 2022 2021 2020

All Journal Article Presentation

[Journal Article] Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer2022
- Author(s)
  Iwatate Yosuke、Yokota Hajime、Hoshino Isamu、Ishige Fumitaka、Kuwayama Naoki、Itami Makiko、Mori Yasukuni、Chiba Satoshi、Arimitsu Hidehito、Yanagibashi Hiroo、Takayama Wataru、Uno Takashi、Lin Jason、Nakamura Yuki、Tatsumi Yasutoshi、Shimozato Osamu、Nagase Hiroki
- Journal Title
  
  International Journal of Oncology
  
  Volume: 60 Issue: 5 Pages: 1-13
- DOI
  10.3892/ijo.2022.5350
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K17130, KAKENHI-PROJECT-20K17570, KAKENHI-PROJECT-20K08199, KAKENHI-PROJECT-20K09115
[Journal Article] Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer2022
- Author(s)
  Iwatate Yosuke、Yokota Hajime、Hoshino Isamu、Ishige Fumitaka、Kuwayama Naoki、Itami Makiko、Mori Yasukuni、Chiba Satoshi、Arimitsu Hidehito、Yanagibashi Hiroo、Takayama Wataru、Uno Takashi、Lin Jason、Nakamura Yuki、Tatsumi Yasutoshi、Shimozato Osamu、Nagase Hiroki
- Journal Title
  
  PLOS ONE
  
  Volume: 17 Issue: 6 Pages: e0268630-e0268630
- DOI
  10.1371/journal.pone.0268630
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K08199, KAKENHI-PROJECT-20K09115, KAKENHI-PROJECT-20K17570
[Journal Article] Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer2020
- Author(s)
  Iwatate Yosuke、Hoshino Isamu、Yokota Hajime、Ishige Fumitaka、Itami Makiko、Mori Yasukuni、Chiba Satoshi、Arimitsu Hidehito、Yanagibashi Hiroo、Nagase Hiroki、Takayama Wataru
- Journal Title
  
  British Journal of Cancer
  
  Volume: 123 Issue: 8 Pages: 1253-1261
- DOI
  10.1038/s41416-020-0997-1
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K17570
[Presentation] Radiogenomics: Machine learning with imaging feature predict ITGB1, ITGAV expression which are poor prognostic factors derived from transcriptome analysis in pancreatic cancer.2021
- Author(s)
  岩立陽祐, 星野敢, 横田元, 石毛文隆, 伊丹真紀子, 千葉聡,有光秀仁, 柳橋浩男, 高山亘
- Organizer
  第80回日本癌学会学術総会
- Data Source
  KAKENHI-PROJECT-20K17570
[Presentation] Radiogenomics解析を用いた膵癌におけるトランスクリプトームおよび予後の予測2020
- Author(s)
  岩立陽祐, 星野敢, 横田元, 石毛文隆, 伊丹真紀子, 千葉聡,有光秀仁, 柳橋浩男, 高山亘
- Organizer
  第120回日本外科学会定期学術集会
- Data Source
  KAKENHI-PROJECT-20K17570
[Presentation] Radiogenomics analysis：prediction of transcriptome and prognosis in pancreatic cancer.2020
- Author(s)
  岩立陽祐, 星野敢, 横田元, 石毛文隆, 伊丹真紀子, 千葉聡,有光秀仁, 柳橋浩男, 高山亘
- Organizer
  第75回日本消化器外科学会総会
- Data Source
  KAKENHI-PROJECT-20K17570

1. TATSUMI Yasutoshi

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
2. 横田元

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Iwatate Yosuke 岩立陽祐

Research Projects

Research Products

Co-Researchers

Gene mutation/expression prediction from clinical images using artificial intelligence technology in pancreatic cancerPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Radiogenomics: Machine learning with imaging feature predict ITGB1, ITGAV expression which are poor prognostic factors derived from transcriptome analysis in pancreatic cancer.2021

Author(s)

Organizer

Data Source

[Presentation] Radiogenomics解析を用いた膵癌におけるトランスクリプトームおよび予後の予測2020

Author(s)

Organizer

Data Source

[Presentation] Radiogenomics analysis：prediction of transcriptome and prognosis in pancreatic cancer.2020

Author(s)

Organizer

Data Source

Iwatate Yosuke 岩立 陽祐

Research Projects

Research Products

Co-Researchers

Gene mutation/expression prediction from clinical images using artificial intelligence technology in pancreatic cancerPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Machine learning with imaging features to predict the expression of ITGAV, which is a poor prognostic factor derived from transcriptome analysis in pancreatic cancer2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Transcriptomic analysis reveals high ITGB1 expression as a predictor for poor prognosis of pancreatic cancer2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] Radiogenomics: Machine learning with imaging feature predict ITGB1, ITGAV expression which are poor prognostic factors derived from transcriptome analysis in pancreatic cancer.2021

Author(s)

Organizer

Data Source

[Presentation] Radiogenomics解析を用いた 膵癌におけるトランスクリプトームおよび予後の予測2020

Author(s)

Organizer

Data Source

[Presentation] Radiogenomics analysis：prediction of transcriptome and prognosis in pancreatic cancer.2020

Author(s)

Organizer

Data Source

Iwatate Yosuke 岩立陽祐

[Presentation] Radiogenomics解析を用いた膵癌におけるトランスクリプトームおよび予後の予測2020