乳腺癌
肿瘤科
医学
化疗
内科学
新辅助治疗
代谢组学
癌症
生物信息学
生物
作者
Miki Yamada,Hiromitsu Jinno,Saki Naruse,Yuka Isono,Yuka Maeda,Ayana Sato,Akiko Matsumoto,Tatsuhiko Ikeda,Masahiro Sugimoto
标识
DOI:10.1007/s10549-024-07370-2
摘要
Preoperative chemotherapy is a critical component of breast cancer management, yet its effectiveness is not uniform. Moreover, the adverse effects associated with chemotherapy necessitate the identification of a patient subgroup that would derive the maximum benefit from this treatment. This study aimed to establish a method for predicting the response to neoadjuvant chemotherapy in breast cancer patients utilizing a metabolomic approach.
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