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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Detalles Bibliográficos
Autores principales: Butner, Joseph D, Martin, Geoffrey V, Wang, Zhihui, Corradetti, Bruna, Ferrari, Mauro, Esnaola, Nestor, Chung, Caroline, Hong, David S, Welsh, James W, Hasegawa, Naomi, Mittendorf, Elizabeth A, Curley, Steven A, Chen, Shu-Hsia, Pan, Ping-Ying, Libutti, Steven K, Ganesan, Shridar, Sidman, Richard L, Pasqualini, Renata, Arap, Wadih, Koay, Eugene J, Cristini, Vittorio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629426/
https://www.ncbi.nlm.nih.gov/pubmed/34749885
http://dx.doi.org/10.7554/eLife.70130

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629426/
https://www.ncbi.nlm.nih.gov/pubmed/34749885
http://dx.doi.org/10.7554/eLife.70130

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