Machine learning-driven estimation of mutational burden highlights DNAH5 as a prognostic marker in colorectal cancer

Abstract Background Tumor Mutational Burden (TMB) have emerged as pivotal predictive biomarkers in determining prognosis and response to immunotherapy in colorectal cancer (CRC) patients. While Whole Exome Sequencing (WES) stands as the gold standard for TMB assessment, carry substantial costs and d...

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Bibliographic Details

Published in:	Biology Direct
Main Authors:	Yangyang Fang, Tianmei Fu, Qian Zhang, Ziqing Xiong, Kuai Yu, Aiping Le
Format:	Article
Language:	English
Published:	BMC 2024-11-01
Subjects:	Machine learning Tumor mutation burden Tumor neoantigen burden Prognostic biomarker Colorectal cancer
Online Access:	https://doi.org/10.1186/s13062-024-00564-0