Mathematical modeling of cancer immunotherapy for personalized clinical translation-Reference-Cited by-同舟云学术

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Mathematical modeling of cancer immunotherapy for personalized clinical translation

Published:2022-12-19 Issue:12 Volume:2 Page:785-796
ISSN:2662-8457
Container-title:Nature Computational Science
language:en
Short-container-title:Nat Comput Sci

Author:

Butner Joseph D.^ORCID,Dogra Prashant^ORCID,Chung Caroline,Pasqualini Renata,Arap Wadih,Lowengrub John,Cristini Vittorio,Wang Zhihui^ORCID

Funder

U.S. Department of Health & Human Services | National Institutes of Health

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.nature.com/articles/s43588-022-00377-z.pdf

Reference123 articles.

1. Greten, F. R. & Grivennikov, S. I. Inflammation and cancer: triggers, mechanisms, and consequences. Immunity 51, 27–41 (2019).

2. Vesely, M. D., Kershaw, M. H., Schreiber, R. D. & Smyth, M. J. Natural innate and adaptive immunity to cancer. Annu. Rev. Immunol. 29, 235–271 (2011).

3. Waldman, A. D., Fritz, J. M. & Lenardo, M. J. A guide to cancer immunotherapy: from T cell basic science to clinical practice. Nat. Rev. Immunol. 20, 651–668 (2020).

4. Disis, M. L. Mechanism of action of immunotherapy. Semin. Oncol. 41, S3–S13 (2014).

5. Choudhry, H. et al. Prospects of IL-2 in cancer immunotherapy. BioMed. Res. Int. 2018, 9056173 (2018).

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