Jeroen Kneppers
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View article: Genomic and transcriptomic features of androgen receptor signaling inhibitor resistance in metastatic castration-resistant prostate cancer
Genomic and transcriptomic features of androgen receptor signaling inhibitor resistance in metastatic castration-resistant prostate cancer Open
BACKGROUNDAndrogen receptor signaling inhibitors (ARSIs) have improved outcomes for patients with metastatic castration-resistant prostate cancer (mCRPC), but their clinical benefit is limited by treatment resistance.METHODSTo investigate …
View article: Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties
Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties Open
Inhibiting androgen receptor (AR) signaling through androgen deprivation therapy (ADT) reduces prostate cancer (PCa) growth in virtually all patients, but response may be temporary, in which case resistance develops, ultimately leading to …
View article: Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties
Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties Open
The data for manuscript "Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties" are deposited here. FOLDER GrowthFolder contains all biological replicates for …
View article: Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties
Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties Open
The data for manuscript "Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties" are deposited here. FOLDER GrowthFolder contains all biological replicates for …
View article: Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties
Agent-based modeling of the prostate tumor microenvironment uncovers spatial tumor growth constraints and immunomodulatory properties Open
Inhibiting androgen receptor (AR) signaling through androgen deprivation therapy (ADT) reduces prostate cancer (PCa) growth in virtually all patients, but response is temporary, and resistance inevitably develops, ultimately leading to let…
View article: Supplementary Video V1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Video V1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Supplementary Video V1
View article: FIGURE 6 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 6 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Effect on tumor growth of varying sensitive model parameters. A, Grouped histogram of the repeated sensitivity analysis (five times for each parameter), overlapped by four (differently colored) histograms of the most sensitive parameters: …
View article: Supplementary Figure 3 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Figure 3 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Sensitivity analysis of the most sensitive model parameters
View article: FIGURE 5 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 5 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Comparison between model simulations and histology images (tufting and bridging). A, Pathology slice of a prostate cancer patient (H&E; staining, 400x magnification) showing a “tufted” pattern of growths on the luminal cell layer. B, Model…
View article: Supplementary Table 1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Table 1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
List of model assumptions
View article: Supplementary Table 2 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Table 2 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
List of model parameters
View article: FIGURE 1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Overview of the agents and actions they can perform during each model iteration. The simulation starts with luminal cells (LC) and basal cells (BC) that can proliferate, die, or idle, all within physiologic regions and with fixed probabili…
View article: Supplementary Figure 1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Figure 1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Experimental data and model parameter fitting
View article: FIGURE 2 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 2 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
In silico testing of requirements for tumor maintenance. A, Amount of tumor cells (blue) and percentage of stem cells (orange, dotted) simulated over time under the condition that included only stem cells to maintain tumors. Simulations fo…
View article: Supplementary Table 3 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Table 3 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Parameter values of eight patient groups
View article: Supplementary Table 5 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Table 5 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Patient markers distinguishing the eight different patient classes
View article: FIGURE 7 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 7 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Clinical validation of model predictions for different patient groups. A, Correlation between the simulated tumor growth (simulation time 400 days, 40 simulations per modeled patient group) and the average PFS time for clinical patients as…
View article: FIGURE 3 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 3 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Overview of the starting geometry in 3-fold; a pathology slice, schematic representation, and model geometry visualization. A, A histology slice of a healthy prostatic acinus (H&E; staining, 400x magnification). B, Schematic representation…
View article: FIGURE 5 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 5 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Comparison between model simulations and histology images (tufting and bridging). A, Pathology slice of a prostate cancer patient (H&E; staining, 400x magnification) showing a “tufted” pattern of growths on the luminal cell layer. B, Model…
View article: Supplementary Figure 1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Figure 1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Experimental data and model parameter fitting
View article: Supplementary Figure 3 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Figure 3 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Sensitivity analysis of the most sensitive model parameters
View article: Supplementary Table 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Table 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Percentages of cancer in model simulations
View article: Supplementary Figure 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Figure 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Pairwise combinations of the most sensitive model parameters
View article: Supplementary Figure 2 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Figure 2 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Comparison of cancer and non-cancer simulations
View article: Supplementary Video V1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Video V1 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Supplementary Video V1
View article: FIGURE 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Initial healthy stage and following eight steps of prostate cancer development as by prostate cancer ABM simulation. A, Healthy prostatic acinus. B, Mutations start to occur in the luminal cells converting them into tumor cells. C, The pre…
View article: Supplementary Table 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
Supplementary Table 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Percentages of cancer in model simulations
View article: FIGURE 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 4 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
Initial healthy stage and following eight steps of prostate cancer development as by prostate cancer ABM simulation. A, Healthy prostatic acinus. B, Mutations start to occur in the luminal cells converting them into tumor cells. C, The pre…
View article: FIGURE 2 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model
FIGURE 2 from Exploring the Onset and Progression of Prostate Cancer through a Multicellular Agent-based Model Open
In silico testing of requirements for tumor maintenance. A, Amount of tumor cells (blue) and percentage of stem cells (orange, dotted) simulated over time under the condition that included only stem cells to maintain tumors. Simulations fo…