Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer

Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer

Abstract Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the standard treatment for stage II and III esophageal cancers, it is associated with severe adverse events caused by docetaxel. Consequently, this study aimed to construct a prognostic system for CF...

Full description

Saved in:
Bibliographic Details
Main Authors: Yutaka Miyawaki, Masataka Hirasaki, Yasuo Kamakura, Tomonori Kawasaki, Yasutaka Baba, Tetsuya Sato, Satoshi Yamasaki, Hisayo Fukushima, Kousuke Uranishi, Yoshinori Makino, Hiroshi Sato, Tetsuya Hamaguchi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Biomarker
Esophageal cancer
Neoadjuvant chemotherapy
Machine-learning
Targeted enrichment sequence
RNA sequence
Online Access:https://doi.org/10.1038/s41598-025-11252-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items