A plasma metabolomics workflow for breast cancer detection using quantitative GC/MS and machine learning
Noriyuki Ojima, Tomonori Yokoyama, Shin Nishiumi, Shojiro Kikuchi, Kazue Yoneda, Misato Kimura, Kaisei Tanaka, Mai Morimoto, Ayako Miyazaki, Toshihiko Tomita, Mitsumasa Ohyanagi, Masayuki Nagahashi, Yasuo Miyoshi, Masataka Ikeda
This study develops a plasma metabolomics workflow for breast cancer detection using GC/MS and machine learning, achieving high accuracy in distinguishing breast cancer from healthy controls.
bioRxiv · Sep 28, 2026 · PreprintCancer Biology