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Agent-based methods facilitate integrative science in cancer
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 …
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 …
cancer. HDAC inhibitors modulate several processes that contribute to intra-tumoral …
Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
Glioblastoma is the most common and deadly primary brain tumor in adults. All glioblastoma
patients receiving standard-of-care surgery-radiotherapy-chemotherapy (ie, temozolomide …
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 …
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
Tumors consist of different genotypically distinct subpopulations—or subclones—of cells.
These subclones can influence neighboring clones in a process called “clonal interaction.” …
These subclones can influence neighboring clones in a process called “clonal interaction.” …