Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling

Background: Checkpoint inhibitor therapy of cancer has led to markedly improved survival of a subset of patients in multiple solid malignant tumor types, yet the factors driving these clinical responses or lack thereof are not known. We have developed a mechanistic mathematical model for better unde...

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Autores principales:	Joseph D Butner, Geoffrey V Martin, Zhihui Wang, Bruna Corradetti, Mauro Ferrari, Nestor Esnaola, Caroline Chung, David S Hong, James W Welsh, Naomi Hasegawa, Elizabeth A Mittendorf, Steven A Curley, Shu-Hsia Chen, Ping-Ying Pan, Steven K Libutti, Shridar Ganesan, Richard L Sidman, Renata Pasqualini, Wadih Arap, Eugene J Koay, Vittorio Cristini
Formato:	article
Lenguaje:	EN
Publicado:	eLife Sciences Publications Ltd 2021
Materias:	immunotherapy biomarkers patient stratification translational research Medicine R Science Q Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/fb8dc9b236644627993affff85ba8824
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Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling

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