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

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

Simple summaryDetecting 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 c...

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Bibliographic Details
Main Authors: Dong Xu, Rujie Chen, Yu Jiang, Shuai Wang, Zhiyu Liu, Xihao Chen, Xiaoyan Fan, Jun Zhu, Jipeng Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Oncology
Subjects:
colorectal cancer
deficient mismatch repair
real-world research
machine learning
routine preoperative characterization
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1049305/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.1049305/full

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