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

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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Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: eLife Sciences Publications Ltd 2021
Subjects:
immunotherapy
biomarkers
patient stratification
translational research
Medicine
R
Science
Q
Biology (General)
QH301-705.5
Online Access:https://doaj.org/article/fb8dc9b236644627993affff85ba8824
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Internet

https://doaj.org/article/fb8dc9b236644627993affff85ba8824

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