Automated image analysis of NSCLC biopsies to predict response to anti-PD-L1 therapy.

Background: Immune checkpoint therapies (ICTs) targeting the programmed cell death-1 (PD1)/programmed cell death ligand-1 (PD-L1) pathway have improved outcomes for patients with non-small cell lung cancer (NSCLC), particularly those with high PD-L1 expression. However, the predictive value of manual PD-L1 scoring is imperfect and alternative measures are needed. We report an automated image analysis solution to determine the predictive and prognostic values of the product of PD-L1+ cell and CD8+ tumor infiltrating lymphocyte (TIL) densities (CD8xPD-L1 signature) in baseline tumor biopsies.

Resminostat in patients with relapsed or refractory Hodgkin lymphoma: results of the phase II SAPHIRE study.

This open-label, single-arm phase II study examined efficacy, safety, pharmacokinetics, and biomarkers of histone deacetylase (HDAC) inhibitor resminostat in patients with relapsed or refractory Hodgkin lymphoma. Thirty-seven heavily pretreated patients received 600 (19 patients) or 800 mg (18 patients) oral resminostat daily for the initial 5 days of 14-day treatment cycles. Objective response rate (ORR) (primary) was 34% reaching disease control in 54% patients.

Resminostat plus sorafenib as second-line therapy of advanced hepatocellular carcinoma - The SHELTER study.

Background & Aims: No established therapies for patients with hepatocellular carcinoma (HCC) and progression on first-line sorafenib treatment currently exist. This phase I/II trial investigated safety, pharmacokinetics and potential biomarkers of the histone deacetylase inhibitor resminostat and a combination therapy with resminostat and sorafenib.

Methods: Patients with HCC and radiologically confirmed progression on sorafenib were treated in an exploratory, multi-center, open-label, uncontrolled, non-randomized, parallel group phase I/II study.

Assessment of drug candidates for broad-spectrum antiviral therapy targeting cellular pyrimidine biosynthesis.

Currently available antiviral drugs frequently induce side-effects or selection of drug-resistant viruses. We describe a novel antiviral principle based on targeting the cellular enzyme dihydroorotate dehydrogenase (DHODH). In silico drug design and biochemical evaluation identified Compound 1 (Cmp1) as a selective inhibitor of human DHODH in vitro (IC50 1.

Substituted 2-arylbenzothiazoles as kinase inhibitors: hit-to-lead optimization.

Based on an (aminoaryl)benzothiazole quinazoline hit structure for kinase inhibition, a systematic optimization program resulted in a lead structure allowing for inhibitory activities in cellular phosphorylation assays in the low nanomolar range.

N-substituted 2'-(aminoaryl)benzothiazoles as kinase inhibitors: hit identification and scaffold hopping.

Starting with a hit from vHTS attained by a docking procedure of virtual compounds into ATP pockets of different kinases applying the 4SCan technology, variations of the adenine mimic resulted in the identification of promising scaffolds, giving rise to in vitro IC(50) values in the nanomolar range on different kinases down to 63nM.

4SCan/vADME: intelligent library screening as a shortcut from hits to lead compounds.

Managing to solve the first step in drug discovery - the hit finding - can be a quite elaborate task, but it is only the initial step to the final goal; hit-to-lead optimisation still lies ahead and consumes even more time and resources. The solution is rather simple, that is, to take only the most promising compounds into account; but who is going to decide which ones are the most promising among a list of tens of millions of compounds in a virtual combinatorial library? 4SCan/vADME helps by bridging the gap between virtual (combinatorial) libraries designed by chemists and the in silico methods, docking and alignment, for screening databases. After choosing a random starting set, the implemented learning and prediction algorithm iteratively considers only combinations of fragments that have shown to result in more suitable interactions by the chosen method.

ProPose: a docking engine based on a fully configurable protein-ligand interaction model.

Virtual high-throughput screening of molecular databases and in particular high-throughput protein-ligand docking are both common methodologies that identify and enrich hits in the early stages of the drug design process. Current protein-ligand docking algorithms often implement a program-specific model for protein-ligand interaction geometries. However, in order to create a platform for arbitrary queries in molecular databases, a new program is desirable that allows more manual control of the modeling of molecular interactions.

Accuracy of spinal navigation for magerl screws.

The influence of a protocol of preoperative computed tomography scanning and a special registration technique was assessed on the accuracy of navigation for implanting Magerl C1-C2-screws. The use of navigation systems for implanting Magerl screws could help to decrease the risk of complications and to reduce the required skin incision. Two parameters conceivably affecting the accuracy are the protocol of preoperative computed tomography scanning and the registration technique.