Preoperative treatment response prediction for pancreatic cancer by multiple microRNAs in plasma exosomes: Optimization using machine learning and network analysis.

Journal: Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
PMID:

Abstract

BACKGROUND/OBJECTIVES: MicroRNAs (miRNAs) are involved in chemosensitivity through their biological activities in various malignancies, including pancreatic cancer (PC). However, single-miRNA models offer limited predictability of treatment response. We investigated whether a multiple-miRNA prediction model optimized via machine learning could improve treatment response prediction.

Authors

  • Hiroki Ueda
    Advanced Data Science Division, Research Center of Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku 153-8904, Tokyo, Japan.
  • Hidenori Takahashi
  • Ryoto Sakaniwa
    Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Osaka, Suita, Osaka, Japan.
  • Tetsuhisa Kitamura
    Environment Medicine, Department of Social Medicine, Division of Environment Medicine and Population Sciences, Osaka University Graduate School of Medicine, Osaka, Suita, Osaka, Japan.
  • Shogo Kobayashi
    Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
  • Yoshito Tomimaru
  • Masahiko Kubo
    Department of Gastroenterological Surgery, Osaka International Cancer Institute, Osaka, Japan.
  • Kazuki Sasaki
    Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
  • Yoshifumi Iwagami
    Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
  • Daisaku Yamada
    Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
  • Tadafumi Asaoka
  • Takehiro Noda
    Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
  • Junzo Shimizu
  • Yuichiro Doki
    Department of Gastroenterological Surgery, Osaka University Graduate School of Medicine, Suita City, Osaka, Japan.
  • Hidetoshi Eguchi
    Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.