A machine learning model to predict efficacy of neoadjuvant therapy in breast cancer based on dynamic changes in systemic immunity.

Yusong Wang,Mozhi Wang,Keda Yu,Shouping Xu,Pengfei Qiu,Zhidong Lyu,Mingke Cui, Qiang Zhang,Yingying Xu

Cancer biology & medicine（2023）

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摘要

Statistically significant relationships between several specific immune indices and the efficacy of NAT were revealed. A random forest model based on dynamic changes in peripheral immune indices showed robust performance in predicting NAT efficacy.

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关键词

Breast cancer,machine learning,neoadjuvant therapy,peripheral blood lymphocytes,prediction model

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