Protocol for mathematical prediction of patient response and survival to immune checkpoint inhibitor immunotherapy

Joseph D. Butner, Maguy Farhat, Vittorio Cristini, Caroline Chung, Zhihui Wang

Research output: Contribution to journalArticlepeer-review

Abstract

This protocol describes the application of a mechanistic mathematical model of immune checkpoint inhibitor (ICI) immunotherapy to patient tumor imaging data for predicting solid tumor response and patient survival under ICI intervention. We describe steps for data collection and processing, data pipelines, and approaches to increase precision. The protocol is highly predictive as early as the first restaging after treatment start and can be used with standard-of-care imaging measures. For complete details on the use and execution of this protocol, please refer to Butner et al. (2020)1 and Butner et al. (2021).2

Original languageEnglish (US)
Article number101886
JournalSTAR Protocols
Volume3
Issue number4
DOIs
StatePublished - Dec 16 2022

Keywords

  • Biotechnology and bioengineering
  • Cancer
  • Health Sciences
  • Immunology
  • Systems biology

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

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