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Supplementary Materials from A Model-Based Personalized Cancer Screening Strategy for Detecting Early-Stage Tumors Using Blood-Borne Biomarkers

Year: 2023
Type: supplementary-materials
Abstract: The Supplementary Materials contains the following: 1) Derivation of Model Steady State Conditions in the Absence of Cancer; 2) Validation of the 2-Compartment Model Structure in the Absence and Presence of Cancer; 3) Parameter Values and Model Assumptions for Simulating Cancer Patient Screening; 4) Supplementary Fig. S1 (Mathematical modeling of blood biomarker data can be used for personalized detection of aggressive disease and monitoring of non-aggressive disease); 5) Supplementary Fig. S2 (Comparing early tumor growth using in vivo FL bioluminescence following implantation of A2780-SEAP-FL-eGFP or non-transfected A2780 cells in the mouse ovary); 6) Supplementary Fig. S3 (Plasma SEAP levels correlate with tumor viability in vivo in a subcutaneous 293T xenograft mouse model); 7) Supplementary Fig. S4 (SEAP shedding rates in cell culture); 8) Supplementary Fig. S5 (Model validation by predicting tumor growth in a subset of mice not used for model fitting and parameter estimation); 9) Supplementary Fig. S6 (Predicted tumor growth parameters in clinically relevant validation study); 10) Supplementary Fig. S7 (Application of the mathematical model to personalized screening of patients with asymptomatic aggressive disease in the absence of technical (assay measurement) error); 11) Supplementary Fig. S8 (Application of the mathematical model to personalized screening of patients with asymptomatic moderately aggressive disease); 12) Supplementary Table S1 (Model State Variables); 13) Supplementary Table S2 (Model Parameters); 14) Supplementary Table S3 (Estimating cancer-specific biomarker shedding kinetics in living mice); 15) Supplementary Table S4 (Summary of Training Parameter Estimates for Model Validation Study)
Language: English
Open Access status: gold
OpenAlex ID: W4362446428
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