Results 111 to 120 of about 943,135 (348)
We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić+31 more
wiley +1 more source
Targeted polypharmacology: discovery of dual inhibitors of tyrosine and phosphoinositide kinases. [PDF]
The clinical success of multitargeted kinase inhibitors has stimulated efforts to identify promiscuous drugs with optimal selectivity profiles. It remains unclear to what extent such drugs can be rationally designed, particularly for combinations of ...
Aizenstein, Brian+9 more
core
A novel 3D human glioblastoma cell culture system for modeling drug and radiation responses [PDF]
Background. Glioblastoma (GBM) is the most common primary brain tumor, with dismal prognosis. The failure of drug–radiation combinations with promising preclinical data to translate into effective clinical treatments may relate to the use of simplified
Chalmers, Anthony+4 more
core +2 more sources
The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu+3 more
wiley +1 more source
One-Step Generation of a Drug-Releasing Hydrogel Microarray-On-A-Chip for Large-Scale Sequential Drug Combination Screening [PDF]
Large-scale screening of sequential drug combinations, wherein the dynamic rewiring of intracellular pathways leads to promising therapeutic effects and improvements in quality of life, is essential for personalized medicine to ensure realistic cost and ...
Bae, Hyung Jong+10 more
core +1 more source
Background: Fixed-dose combinations (FDCs) were brought into the market with the intent of providing benefits primarily to patients and physicians.
Dhyuti Gupta+5 more
doaj +1 more source
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction [PDF]
Motivation: Drug combination is a sensible strategy for disease treatment by improving the efficacy and reducing concomitant side effects. Due to the large number of possible combinations among candidate compounds, exhaustive screening is prohibitive. Currently, a plenty of studies have focused on predicting potential drug combinations.
arxiv
The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld+7 more
wiley +1 more source
Atomic Force Microscopy-Based Screening of Drug-Excipient Miscibility and Stability of Solid Dispersions [PDF]
: Purpose: Development of a method to assess the drug/polymer miscibility and stability of solid dispersions using a melt-based mixing method. Methods: Amorphous fractured films are prepared and characterized with Raman Microscopy in combination with ...
Alsenz, Jochem+8 more
core
A formal model for analyzing drug combination effects and its application in TNF-α-induced NFκB pathway [PDF]
BACKGROUND: Drug combination therapy is commonly used in clinical practice. Many methods including Bliss independence method have been proposed for drug combination design based on simulations models or experiments. Although Bliss independence method can
Bo Zhang+3 more
core +2 more sources