Publications by authors named "A van den Bergh"

Human dose prediction (HDP) is a useful tool for compound optimization in preclinical drug discovery. We describe here our exclusively in silico HDP strategy to triage compound designs for synthesis and experimental profiling. Our goal is a model that provides a preliminary estimate of the dose for a given exposure target based on chemical structure.

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Article Synopsis
  • Changes in deoxyribonucleoside triphosphate (dNTP) pools are tied to higher mutation rates and genome instability in unicellular organisms, but their role in mammalian tumor development is not well understood.
  • A mouse model with a specific mutation in ribonucleotide reductase (RRM1-Y285A) showed decreased enzyme activity, leading to reduced dATP and dGTP levels, resulting in shorter lifespans and earlier tumor onset.
  • Analysis of the tumors indicated unique mutational signatures similar to those found in human cancers with related mutations in ribonucleotide reductase, suggesting that dNTP metabolism mutations may drive cancer development.
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Background: Data on the efficacy and safety of screening for prostate cancer with magnetic resonance imaging (MRI) are needed from studies of follow-up screening.

Methods: In a population-based trial that started in 2015, we invited men who were 50 to 60 years of age to undergo prostate-specific antigen (PSA) screening. Men with a PSA level of 3 ng per milliliter or higher underwent MRI of the prostate.

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TGFβ potently modifies the extracellular matrix (ECM), which is thought to favor tumor cell invasion. However, the mechanism whereby the cancer cells employ the ECM proteins to facilitate their motility is largely unknown. In this study we used RNA-seq and proteomic analysis to examine the proteins secreted by castration-resistant prostate cancer (CRPC) cells upon TGFβ treatment and found that thrombospondin 1 (THBS1) was observed to be one of the predominant proteins.

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Background And Purpose: Dose escalation in external radiotherapy of prostate cancer shows promising results in terms of biochemical disease-free survival. Boost volume delineation guidelines are sparse which may cause high interobserver variability. The aim of this research was to characterize gross tumor volume (GTV) delineations based on multiparametric magnetic resonance imaging (mpMRI) and prostate specific membrane antigen-positron emission tomography (PSMA-PET) in relation to histopathology-validated Gleason grade 4 and 5 regions.

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