Development of Gene Expression-Based Random Forest Model for Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer

SIMPLE SUMMARY: Only 20–50% of patients with triple negative breast cancer achieve a pathological complete response from neoadjuvant chemotherapy, a strong indicator of patient survival. Therefore, there is an urgent need for a reliable predictive model of the patient’s pathological complete respons...

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Detalles Bibliográficos
Autores principales: Park, Seongyong, Yi, Gwansu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870575/
https://www.ncbi.nlm.nih.gov/pubmed/35205629
http://dx.doi.org/10.3390/cancers14040881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870575/
https://www.ncbi.nlm.nih.gov/pubmed/35205629
http://dx.doi.org/10.3390/cancers14040881

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