A novel tumor mutational burden estimation model as a predictive and prognostic biomarker in NSCLC patients

A novel tumor mutational burden estimation model as a predictive and prognostic biomarker in NSCLC patients

Abstract Background Tumor mutational burden (TMB) has both prognostic value in resected non-small cell lung cancer (NSCLC) patients and predictive value for immunotherapy response. However, TMB evaluation by whole-exome sequencing (WES) is expensive and time-consuming, hampering its application in c...

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Bibliographic Details
Main Authors: Yanhua Tian, Jiachen Xu, Qian Chu, Jianchun Duan, Jianjun Zhang, Hua Bai, Zhenlin Yang, Wenfeng Fang, Liangliang Cai, Rui Wan, Kailun Fei, Jie He, Shugeng Gao, Li Zhang, Zhijie Wang, Jie Wang
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Medicine
Subjects:
TMB estimation
23-gene panel
Prognostic and predictive value
Non-small cell lung cancer
Online Access:http://link.springer.com/article/10.1186/s12916-020-01694-8

Internet

http://link.springer.com/article/10.1186/s12916-020-01694-8

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