Protocol for Mathematical Prediction of Patient Response and Survival to Immune Checkpoint Inhibitor Immunotherapy

Authors

Joseph D Butner
Maguy Farhat
Vittorio Cristini
Caroline Chung
Zhihui Wang

Publication Date

12-16-2022

Journal

STAR Protocols

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)

Keywords

Humans, Immune Checkpoint Inhibitors, Immunotherapy, Data Collection

DOI

10.1016/j.xpro.2022.101886

PMID

36595890

PMCID

PMC9719106

PubMedCentral® Posted Date

11-30-2022

PubMedCentral® Full Text Version

Post-print

Published Open-Access

yes