Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling.
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ABSTRACT:
SUBMITTER: Butner JD
PROVIDER: S-EPMC8629426 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature
Publications
Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling.
Butner Joseph D JD Martin Geoffrey V GV Wang Zhihui Z Corradetti Bruna B Ferrari Mauro M Esnaola Nestor N Chung Caroline C Hong David S DS Welsh James W JW Hasegawa Naomi N Mittendorf Elizabeth A EA Curley Steven A SA Chen Shu-Hsia SH Pan Ping-Ying PY Libutti Steven K SK Ganesan Shridar S Sidman Richard L RL Pasqualini Renata R Arap Wadih W Koay Eugene J EJ Cristini Vittorio V
eLife 20211109
<h4>Background</h4>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 understanding these factors and their relations in order to predict treatment outcome and optimize personal treatment strategies.<h4>Methods</h4>Here, we present a translational mathematical model ...[more]
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