Integrating Histologic and Genomic Characteristics to Predict Tumor Mutation Burden of Early-Stage Non-Small-Cell Lung Cancer

Integrating Histologic and Genomic Characteristics to Predict Tumor Mutation Burden of Early-Stage Non-Small-Cell Lung Cancer

Tumor mutation burden (TMB) serves as an effective biomarker predicting efficacy of mono-immunotherapy for non-small cell lung cancer (NSCLC). Establishing a precise TMB predicting model is essential to select which populations are likely to respond to immunotherapy or prognosis and to maximize the...

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Bibliographic Details
Main Authors: Yuan Qiu, Liping Liu, Haihong Yang, Hanzhang Chen, Qiuhua Deng, Dakai Xiao, Yongping Lin, Changbin Zhu, Weiwei Li, Di Shao, Wenxi Jiang, Kui Wu, Jianxing He
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Oncology
Subjects:
early-stage non-small-cell lung cancer
tumor mutation burden (TMB)
histology
genomics
model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.608989/full

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https://www.frontiersin.org/articles/10.3389/fonc.2020.608989/full

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