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Designing gene panels for tumor mutational burden estimation: the need to shift from ‘correlation’ to ‘accuracy’

Authors

  • Hao-Xiang Wu Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineSun Yat-Sen University Cancer Center 510060 Guangzhou People’s Republic of China PubMed articlesGoogle scholar articles
  • Zi-Xian Wang Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineSun Yat-Sen University Cancer Center 510060 Guangzhou People’s Republic of China PubMed articlesGoogle scholar articles
  • Qi Zhao Bioinformatics Platform, Department of Experimental Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineSun Yat-Sen University Cancer Center 510060 Guangzhou People’s Republic of China PubMed articlesGoogle scholar articles
  • Feng Wang Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineSun Yat-Sen University Cancer Center 510060 Guangzhou People’s Republic of China PubMed articlesGoogle scholar articles
  • Rui-Hua Xu Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer MedicineSun Yat-Sen University Cancer Center 510060 Guangzhou People’s Republic of China PubMed articlesGoogle scholar articles

Citation

Wu H, Wang Z, Zhao Q, et al
Designing gene panels for tumor mutational burden estimation: the need to shift from ‘correlation’ to ‘accuracy’
Journal for ImmunoTherapy of Cancer 2019;7:206. doi: 10.1186/s40425-019-0681-2
Online issue publication 
January 08, 2022

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© The Author(s). Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.