Integrating single cell sequencing with a spatial quantitative systems pharmacology model spQSP for personalized prediction of triple-negative breast cancer immunotherapy response

Integrating single cell sequencing with a spatial quantitative systems pharmacology model spQSP for personalized prediction of triple-negative breast cancer immunotherapy response

Response to cancer immunotherapies depends on the complex and dynamic interactions between T cell recognition and killing of cancer cells that are counteracted through immunosuppressive pathways in the tumor microenvironment. Therefore, while measurements such as tumor mutational burden provide biom...

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Bibliographic Details
Main Authors: Shuming Zhang, Chang Gong, Alvaro Ruiz-Martinez, Hanwen Wang, Emily Davis-Marcisak, Atul Deshpande, Aleksander S. Popel, Elana J. Fertig
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:ImmunoInformatics
Subjects:
Systems biology
Computational model
Mathematical model
Agent-based model
Bioinformatics
Immuno-oncology
Online Access:http://www.sciencedirect.com/science/article/pii/S2667119021000021
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http://www.sciencedirect.com/science/article/pii/S2667119021000021

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