Tumor mutation score is more powerful than tumor mutation burden in predicting response to immunotherapy in non-small cell lung cancer
Author:
Funder
Young Scientists Fund
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,Immunology,Immunology and Allergy
Link
https://link.springer.com/content/pdf/10.1007/s00262-021-02868-w.pdf
Reference30 articles.
1. Chan TA, Yarchoan M, Jaffee E, Swanton C, Quezada SA, Stenzinger A, Peters S (2019) Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic. Ann Oncol 30(1):44–56. https://doi.org/10.1093/annonc/mdy495
2. Yu H, Chen Z, Ballman KV, Watson MA, Govindan R, Lanc I, Beer DG, Bueno R, Chirieac LR, Chui MH, Chen G, Franklin WA, Gandara DR, Genova C, Brovsky KA, Joshi MM, Merrick DT, Richards WG, Rivard CJ, Harpole DH, Tsao MS, van Bokhoven A, Shepherd FA, Hirsch FR (2019) Correlation of PD-L1 Expression with Tumor Mutation Burden and Gene Signatures for Prognosis in Early-Stage Squamous Cell Lung Carcinoma. J Thorac Oncol 14(1):25–36. https://doi.org/10.1016/j.jtho.2018.09.006
3. Reck M, Rodriguez-Abreu D, Robinson AG, Hui R, Csoszi T, Fulop A, Gottfried M, Peled N, Tafreshi A, Cuffe S, O’Brien M, Rao S, Hotta K, Leiby MA, Lubiniecki GM, Shentu Y, Rangwala R, Brahmer JR, Investigators K (2016) Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer. N Engl J Med 375(19):1823–1833. https://doi.org/10.1056/NEJMoa1606774
4. Rizvi H, Sanchez-Vega F, La K, Chatila W, Jonsson P, Halpenny D, Plodkowski A, Long N, Sauter JL, Rekhtman N, Hollmann T, Schalper KA, Gainor JF, Shen R, Ni A, Arbour KC, Merghoub T, Wolchok J, Snyder A, Chaft JE, Kris MG, Rudin CM, Socci ND, Berger MF, Taylor BS, Zehir A, Solit DB, Arcila ME, Ladanyi M, Riely GJ, Schultz N, Hellmann MD (2018) Molecular Determinants of Response to Anti-Programmed Cell Death (PD)-1 and Anti-Programmed Death-Ligand 1 (PD-L1) Blockade in Patients With Non-Small-Cell Lung Cancer Profiled With Targeted Next-Generation Sequencing. J Clin Oncol 36(7):633–641. https://doi.org/10.1200/JCO.2017.75.3384
5. Schumacher TN, Schreiber RD (2015) Neoantigens in cancer immunotherapy. Science 348(6230):69–74. https://doi.org/10.1126/science.aaa4971
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition;npj Precision Oncology;2023-06-08
2. Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition;2023-04-28
3. Cuproptosis-related genes to establish prognostic model and predict the immunotherapy response in cervical cancer;2023-02-21
4. Significance of a Tumor Mutation Burden Gene Signature with Prognosis and Immune Feature of Gastric Cancer Patients;International Journal of Genomics;2022-06-08
5. Towards a precision immune checkpoint blockade immunotherapy in patients with colorectal cancer: Strategies and perspectives;Biomedicine & Pharmacotherapy;2022-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3