Molecular Subtypes Are Frequently Discordant Between Lesions in Patients With Synchronous Colorectal Cancer: Molecular Analysis of 59 Patients
K Arakawa(Daiichi-Sankyo (Japan)), Soichiro Ishihara(University of Tokyo Hospital), Manabu Kaneko(The University of Tokyo), Hirofumi Sonoda(The University of Tokyo), Kazushige Kawai(Tokyo Metropolitan Komagome Hospital), Koji Murono(The University of Tokyo), Kazuhito Sasaki(Sasaki Institute), Keisuke Hata(The University of Tokyo), Yasutaka Shuno(The University of Tokyo), Shigenobu Emoto(The University of Tokyo), Hiroaki Nozawa(The University of Tokyo), Toshiaki Tanaka(Sapporo Medical University), Satoshi Okada(The University of Tokyo), Takeshi Nishikawa(Shimonoseki City Hospital), Masaya Hiyoshi(Ibaraki Prefectural Central Hospital)
Cited by 4
Related Papers
Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2016 for the treatment of colorectal cancer
|International Journal of Clinical Oncology|2017|2.5k
Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2019 for the treatment of colorectal cancer
|International Journal of Clinical Oncology|2019|2k
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
|Gastric Cancer|2018|742
Japanese Society for Cancer of the Colon and Rectum (JSCCR) Guidelines 2014 for treatment of colorectal cancer
|International Journal of Clinical Oncology|2015|600
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
|Gastrointestinal Endoscopy|2018|470