Agent-based methods facilitate integrative science in cancer

J West, M Robertson-Tessi, ARA Anderson - Trends in cell biology, 2023 - cell.com
In this opinion, we highlight agent-based modeling as a key tool for exploration of cell–cell
and cell–environment interactions that drive cancer progression, therapeutic resistance, and …

[HTML][HTML] HDAC inhibitors: dissecting mechanisms of action to counter tumor heterogeneity

D Karagiannis, T Rampias - Cancers, 2021 - mdpi.com
Simple Summary Tumor heterogeneity promotes the development of drug resistance in
cancer. HDAC inhibitors modulate several processes that contribute to intra-tumoral …

Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation

N Cogno, C Axenie, R Bauer… - Cancer biology & …, 2024 - Taylor & Francis
Computational models are not just appealing because they can simulate and predict the
development of biological phenomena across multiple spatial and temporal scales, but also …

The bone ecosystem facilitates multiple myeloma relapse and the evolution of heterogeneous drug resistant disease

RT Bishop, AK Miller, M Froid, N Nerlakanti, T Li… - Nature …, 2024 - nature.com
Multiple myeloma (MM) is an osteolytic malignancy that is incurable due to the emergence of
treatment resistant disease. Defining how, when and where myeloma cell intrinsic and …

Transmembrane water-efflux rate measured by magnetic resonance imaging as a biomarker of the expression of aquaporin-4 in gliomas

Y Jia, S Xu, G Han, B Wang, Z Wang, C Lan… - Nature Biomedical …, 2023 - nature.com
The water-selective channel protein aquaporin-4 (AQP4) contributes to the migration and
proliferation of gliomas, and to their resistance to therapy. Here we show, in glioma cell …

Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy

AL Jenner, M Smalley, D Goldman, WF Goins… - Iscience, 2022 - cell.com
Oncolytic viruses (OVs) are emerging cancer immunotherapy. Despite notable successes in
the treatment of some tumors, OV therapy for central nervous system cancers has failed to …

Virtual clinical trials of anti-PD-1 and anti-CTLA-4 immunotherapy in advanced hepatocellular carcinoma using a quantitative systems pharmacology model

RJ Sové, BK Verma, H Wang, WJ Ho… - Journal for …, 2022 - pmc.ncbi.nlm.nih.gov
Background Hepatocellular carcinoma (HCC) is the most common form of primary liver
cancer and is the third-leading cause of cancer-related death worldwide. Most patients with …

Agent-based modelling reveals the role of the tumor microenvironment on the short-term success of combination temozolomide/immune checkpoint blockade to treat …

A Surendran, AL Jenner, E Karimi, B Fiset… - The Journal of …, 2023 - Elsevier
Glioblastoma is the most common and deadly primary brain tumor in adults. All glioblastoma
patients receiving standard-of-care surgery-radiotherapy-chemotherapy (ie, temozolomide …

Understanding the glioblastoma tumor biology to optimize photodynamic therapy: From molecular to cellular events

LE Ibarra, ML Vilchez, MD Caverzán… - Journal of …, 2021 - Wiley Online Library
Photodynamic therapy (PDT) has recently gained attention as an alternative treatment of
malignant gliomas. Glioblastoma (GBM) is the most prevalent within tumors of the central …

Clonal interactions in cancer: Integrating quantitative models with experimental and clinical data

ND Lee, K Kaveh, I Bozic - Seminars in Cancer Biology, 2023 - Elsevier
Tumors consist of different genotypically distinct subpopulations—or subclones—of cells.
These subclones can influence neighboring clones in a process called “clonal interaction.” …