Application of machine learning in the prediction of deficient mismatch repair in patients with colorectal cancer based on routine preoperative characterization

SIMPLE SUMMARY: Detecting deficient mismatch repair (dMMR) in patients with colorectal cancer is essential for clinical decision-making, including evaluation of prognosis, guidance of adjuvant chemotherapy and immunotherapy, and primary screening for Lynch syndrome. However, outside of tertiary care...

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Detalles Bibliográficos
Autores principales: Xu, Dong, Chen, Rujie, Jiang, Yu, Wang, Shuai, Liu, Zhiyu, Chen, Xihao, Fan, Xiaoyan, Zhu, Jun, Li, Jipeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814116/
https://www.ncbi.nlm.nih.gov/pubmed/36620593
http://dx.doi.org/10.3389/fonc.2022.1049305

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814116/
https://www.ncbi.nlm.nih.gov/pubmed/36620593
http://dx.doi.org/10.3389/fonc.2022.1049305

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