Recent applications of quantitative systems pharmacology and machine learning models across diseases

SS Aghamiri, R Amin, T Helikar - Journal of pharmacokinetics and …, 2022 - Springer
Quantitative systems pharmacology (QSP) is a quantitative and mechanistic platform
describing the phenotypic interaction between drugs, biological networks, and disease …

Quantitative systems pharmacology approaches for immuno‐oncology: adding virtual patients to the development paradigm

V Chelliah, G Lazarou, S Bhatnagar… - Clinical …, 2021 - Wiley Online Library
Drug development in oncology commonly exploits the tools of molecular biology to gain
therapeutic benefit through reprograming of cellular responses. In immuno‐oncology (IO) …

A transcriptome-informed QSP model of metastatic triple-negative breast cancer identifies predictive biomarkers for PD-1 inhibition

T Arulraj, H Wang, LA Emens, CA Santa-Maria… - Science …, 2023 - science.org
Triple-negative breast cancer (TNBC), a highly metastatic breast cancer subtype, has limited
treatment options. While a small number of patients attain clinical benefit with single-agent …

Combining microenvironment normalization strategies to improve cancer immunotherapy

F Mpekris, C Voutouri, JW Baish… - Proceedings of the …, 2020 - National Acad Sciences
Advances in immunotherapy have revolutionized the treatment of multiple cancers.
Unfortunately, tumors usually have impaired blood perfusion, which limits the delivery of …

Simulations of tumor growth and response to immunotherapy by coupling a spatial agent-based model with a whole-patient quantitative systems pharmacology model

A Ruiz-Martinez, C Gong, H Wang… - PLoS computational …, 2022 - journals.plos.org
Quantitative systems pharmacology (QSP) models and spatial agent-based models (ABM)
are powerful and efficient approaches for the analysis of biological systems and for clinical …

Dynamics of tumor-associated macrophages in a quantitative systems pharmacology model of immunotherapy in triple-negative breast cancer

H Wang, C Zhao, CA Santa-Maria, LA Emens… - IScience, 2022 - cell.com
Quantitative systems pharmacology (QSP) modeling is an emerging mechanistic
computational approach that couples drug pharmacokinetics/pharmacodynamics and the …

A QSP model for predicting clinical responses to monotherapy, combination and sequential therapy following CTLA-4, PD-1, and PD-L1 checkpoint blockade

O Milberg, C Gong, M Jafarnejad, IH Bartelink… - Scientific reports, 2019 - nature.com
Over the past decade, several immunotherapies have been approved for the treatment of
melanoma. The most prominent of these are the immune checkpoint inhibitors, which are …

Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition

H Wang, T Arulraj, H Kimko, AS Popel - npj Precision Oncology, 2023 - nature.com
Generating realistic virtual patients from a limited amount of patient data is one of the major
challenges for quantitative systems pharmacology modeling in immuno-oncology …

Neoadjuvant and adjuvant immunotherapy: opening new horizons for patients with early-stage non-small cell lung cancer

R Bai, L Li, X Chen, N Chen, W Song, J Cui - Frontiers in Oncology, 2020 - frontiersin.org
Lung cancer is the most common malignant tumor with the highest mortality, and about 84%
are non-small cell lung cancer (NSCLC). However, only a small proportion of patients with …

Digital pathology analysis quantifies spatial heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 immune markers in triple-negative breast cancer

H Mi, C Gong, J Sulam, EJ Fertig, AS Szalay… - Frontiers in …, 2020 - frontiersin.org
Overwhelming evidence has shown the significant role of the tumor microenvironment (TME)
in governing the triple-negative breast cancer (TNBC) progression. Digital pathology can …