SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer

SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer

Abstract Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlighting the role of pharmacogenomics in developing better predictive models. We analyzed 379 CRC patients receiving fluorouracil-based chemotherapy, collecting data on fluorouracil metabolism-rel...

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Bibliographic Details
Main Authors: Jiyifan Li, Wenxin Zhang, Lu Chen, Xiang Mao, Xinhai Wang, Jiafeng Liu, Yuxin Huang, Huijie Qi, Li Chen, Huanying Shi, Bicui Chen, Mingkang Zhong, Qunyi Li, Tianxiao Wang
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Colorectal cancer
Machine learning
Adjuvant chemotherapy
Fluorouracil
Rational drug use
Online Access:https://doi.org/10.1038/s41598-024-79036-4
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