Real-time monitoring of immediate drug response and adaptation upon repeated treatment in a microfluidic chip system.
Sign Up to like & getrecommendations! Published in 2022 at "Archives of toxicology"
DOI: 10.1007/s00204-022-03272-8
Abstract: Microfluidic tissue culture and organ-on-a-chip models provide efficient tools for drug testing in vivo and are considered to become the basis of in vitro test systems to analyze drug response, drug interactions and toxicity to… read more here.
Keywords: time; system; drug; drug response ... See more keywords
Long noncoding RNAs: Unexplored players in the drug response of the sea louse Caligus rogercresseyi
Sign Up to like & getrecommendations! Published in 2017 at "Agri Gene"
DOI: 10.1016/j.aggene.2017.03.001
Abstract: Long non-coding RNAs (lncRNAs), endogenous RNAs with restricted or null coding potential, are emerging as key regulators of multiple biological processes in several species. Despite the importance of these transcripts, few studies have characterized marine… read more here.
Keywords: rogercresseyi; caligus rogercresseyi; response; sea ... See more keywords
Patient-Derived Ovarian Cancer Organoids Mimic Clinical Response and Exhibit Heterogeneous Inter- and Intrapatient Drug Responses.
Sign Up to like & getrecommendations! Published in 2020 at "Cell reports"
DOI: 10.1016/j.celrep.2020.107762
Abstract: There remains an unmet need for preclinical models to enable personalized therapy for ovarian cancer (OC) patients. Here we evaluate the capacity of patient-derived organoids (PDOs) to predict clinical drug response and functional consequences of… read more here.
Keywords: inter intrapatient; response; drug response; drug ... See more keywords
Drug response prediction in high-risk multiple myeloma.
Sign Up to like & getrecommendations! Published in 2018 at "Gene"
DOI: 10.1016/j.gene.2017.10.071
Abstract: A Drug Response Prediction (DRP) score was developed based on gene expression profiling (GEP) from cell lines and tumor samples. Twenty percent of high-risk patients by GEP70 treated in Total Therapy 2 and 3A have… read more here.
Keywords: response; high risk; drug response; drp score ... See more keywords
Pharmacogenomics: Precision Medicine and Drug Response
Sign Up to like & getrecommendations! Published in 2017 at "Mayo Clinic Proceedings"
DOI: 10.1016/j.mayocp.2017.09.001
Abstract: Abstract Pharmacogenomics is the use of genomic and other “omic” information to individualize drug selection and drug use to avoid adverse drug reactions and to maximize drug efficacy. The science underlying pharmacogenomics has evolved rapidly… read more here.
Keywords: medicine; precision medicine; drug response; drug ... See more keywords
Network-based analysis with primary cells reveals drug response landscape of acute myeloid leukemia.
Sign Up to like & getrecommendations! Published in 2020 at "Experimental cell research"
DOI: 10.1016/j.yexcr.2020.112054
Abstract: Acute myeloid leukemia (AML) is one of the most common, complex, and heterogeneous hematological malignancies in adults. Despite progresses in understanding the pathology of AML, the 5-year survival rates still remain low comparing to CML,… read more here.
Keywords: response; analysis; drug response; drug ... See more keywords
Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response.
Sign Up to like & getrecommendations! Published in 2019 at "Methods"
DOI: 10.1016/j.ymeth.2019.02.009
Abstract: The identification of therapeutic biomarkers predictive of drug response is crucial in personalized medicine. A number of computational models to predict response of anti-cancer drugs have been developed as the establishment of several pharmacogenomics screening… read more here.
Keywords: deep resp; resp forest; response; drug response ... See more keywords
D2O-Probed Raman Microspectroscopy Distinguishes the Metabolic Dynamics of Macromolecules in Organellar Anticancer Drug Response.
Sign Up to like & getrecommendations! Published in 2021 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.0c03925
Abstract: To profile the metabolic dynamics responding to drugs at the single-cell/organelle resolution, rapid and economical mechanism-revealing methods are required. Here, we introduced D2O-probed Raman microspectroscopy in combination with the multivariate curve resolution-alternating least squares (MCR-ALS… read more here.
Keywords: d2o probed; probed raman; response; metabolic dynamics ... See more keywords
Systems analysis of apoptotic priming in ovarian cancer identifies vulnerabilities and predictors of drug response
Sign Up to like & getrecommendations! Published in 2017 at "Nature Communications"
DOI: 10.1038/s41467-017-00263-7
Abstract: The lack of effective chemotherapies for high-grade serous ovarian cancers (HGS-OvCa) has motivated a search for alternative treatment strategies. Here, we present an unbiased systems-approach to interrogate a panel of 14 well-annotated HGS-OvCa patient-derived xenografts… read more here.
Keywords: hgs ovca; analysis; drug response; drug ... See more keywords
Network dynamics-based cancer panel stratification for systemic prediction of anticancer drug response
Sign Up to like & getrecommendations! Published in 2017 at "Nature Communications"
DOI: 10.1038/s41467-017-02160-5
Abstract: Cancer is a complex disease involving multiple genomic alterations that disrupt the dynamic response of signaling networks. The heterogeneous nature of cancer, which results in highly variable drug response, is a major obstacle to developing… read more here.
Keywords: cancer; network dynamics; drug; drug response ... See more keywords
Deep generative neural network for accurate drug response imputation
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-21997-5
Abstract: Drug response differs substantially in cancer patients due to inter- and intra-tumor heterogeneity. Particularly, transcriptome context, especially tumor microenvironment, has been shown playing a significant role in shaping the actual treatment outcome. In this study,… read more here.
Keywords: generative neural; drug response; drug; neural network ... See more keywords