QSPIO-TNBC: A Quantitative Systems Pharmacology Platform in Immune-Oncology for Triple-Negative Breast Cancer
- 1. Johns Hopkins University
- 2. University of Pittsburgh Medical Center
- 3. Johns Hopkins Sidney Kimmel Cancer Center
Description
This repository contains the QSP platform for TNBC developed by the Popel Systems Biology Laboratory https://popellab.johnshopkins.edu/. This version is published in Journal for ImmunoTherapy of Cancer:
Wang H, Ma H, Sové RJ, Emens LA, Popel AS. Quantitative systems pharmacology model predictions for efficacy of atezolizumab and nab-paclitaxel in triple- negative breast cancer. Journal for ImmunoTherapy of Cancer 2021;0:e002100. doi:10.1136/ jitc-2020-002100
Requirements
- Model simulations and analyses were performed using MATLAB R2019a
- SimBiology Toolbox
- Statistics and Machine Learning Toolbox
- Bioinformatics Toolbox
Previous Publications
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H. Ma, H. Wang, R. J. Sove, J. Wang, C. Giragossian, A. S. Popel, Combination therapy with T cell engager and PD-L1 blockade enhances the antitumor potency of T cells as predicted by a QSP model. J Immunother Cancer 8, (2020).
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H. Ma, H. Wang, R. J. Sove, M. Jafarnejad, C. H. Tsai, J. Wang, C. Giragossian, A. S. Popel, A Quantitative Systems Pharmacology Model of T Cell Engager Applied to Solid Tumor. AAPS J 22, 85 (2020).
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H. Wang, R. J. Sove, M. Jafarnejad, S. Rahmeh, E. M. Jaffee, V. Stearns, E. T. R. Torres, R. M. Connolly, A. S. Popel, Conducting a Virtual Clinical Trial in HER2-Negative Breast Cancer Using a Quantitative Systems Pharmacology Model With an Epigenetic Modulator and Immune Checkpoint Inhibitors. Front Bioeng Biotechnol 8, 141 (2020).
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R. J. Sove, M. Jafarnejad, C. Zhao, H. Wang, H. Ma, A. S. Popel, QSP-IO: A quantitative systems pharmacology toolbox for mechanistic multi-scale modeling for immuno-oncology applications. CPT Pharmacometrics Syst Pharmacol, (2020).
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M. Jafarnejad, C. Gong, E. Gabrielson, I. H. Bartelink, P. Vicini, B. Wang, R. Narwal, L. Roskos, A. S. Popel, A Computational Model of Neoadjuvant PD-1 Inhibition in Non-Small Cell Lung Cancer. AAPS J 21, 79 (2019).
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O. Milberg, C. Gong, M. Jafarnejad, I. H. Bartelink, B. Wang, P. Vicini, R. Narwal, L. Roskos, A. S. Popel, A QSP Model for Predicting Clinical Responses to Monotherapy, Combination and Sequential Therapy Following CTLA-4, PD-1, and PD-L1 Checkpoint Blockade. Sci Rep 9, 11286 (2019).
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H. Wang, O. Milberg, I. H. Bartelink, P. Vicini, B. Wang, R. Narwal, L. Roskos, C. A. Santa-Maria, A. S. Popel, In silico simulation of a clinical trial with anti-CTLA-4 and anti-PD-L1 immunotherapies in metastatic breast cancer using a systems pharmacology model. R Soc Open Sci 6, 190366 (2019).
Files
HanwenWang95/QSPIO-TNBC-v1.0.zip
Files
(103.5 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/HanwenWang95/QSPIO-TNBC/tree/v1.0 (URL)