0000000000730876

AUTHOR

Adrián López

showing 2 related works from this author

Endothelin-1-Mediated Drug Resistance in EGFR-Mutant Non-Small Cell Lung Carcinoma.

2020

Abstract Progression on therapy in non-small cell lung carcinoma (NSCLC) is often evaluated radiographically, however, image-based evaluation of said therapies may not distinguish disease progression due to intrinsic tumor drug resistance or inefficient tumor penetration of the drugs. Here we report that the inhibition of mutated EGFR promotes the secretion of a potent vasoconstrictor, endothelin-1 (EDN1), which continues to increase as the cells become resistant with a mesenchymal phenotype. As EDN1 and its receptor (EDNR) is linked to cancer progression, EDNR-antagonists have been evaluated in several clinical trials with disappointing results. These trials were based on a hypothesis that…

Vascular Endothelial Growth Factor ACancer ResearchLung NeoplasmsAmbrisentanOncology and CarcinogenesisDrug ResistanceBiological AvailabilityAntineoplastic AgentsDrug resistanceCell LineMiceErlotinib HydrochlorideGefitinibIn vivomedicineAnimalsHumansOncology & CarcinogenesisNon-Small-Cell LungProtein Kinase InhibitorsLungCancerTumor microenvironmentTumorEndothelin-1business.industryCarcinomaLung CancerCancerEvaluation of treatments and therapeutic interventionsGefitinibmedicine.diseaseEndothelin 1Xenograft Model Antitumor AssaysErbB ReceptorsOncologyVasoconstriction5.1 Pharmaceuticals6.1 PharmaceuticalsCancer cellMutationCancer researchNeoplasmDevelopment of treatments and therapeutic interventionsbusinessmedicine.drug
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LipidMS: An R Package for Lipid Annotation in Untargeted Liquid Chromatography-Data Independent Acquisition-Mass Spectrometry Lipidomics.

2018

High resolution LC-MS untargeted lipidomics using data independent acquisition (DIA) has the potential to increase lipidome coverage, as it enables the continuous and unbiased acquisition of all eluting ions. However, the loss of the link between the precursor and the product ions combined with the high dimensionality of DIA data sets hinder accurate feature annotation. Here, we present LipidMS, an R package aimed to confidently identify lipid species in untargeted LC-DIA-MS. To this end, LipidMS combines a coelution score, which links precursor and fragment ions with fragmentation and intensity rules. Depending on the MS evidence reached by the identification function survey, LipidMS provi…

0301 basic medicineChromatographyChemistry010401 analytical chemistryLipidomeMass spectrometry01 natural sciencesLipids0104 chemical sciencesAnalytical Chemistry03 medical and health sciencesR packageAnnotation030104 developmental biologyNon-alcoholic Fatty Liver DiseaseTandem Mass SpectrometryLipidomicsLipidomicsHumansData-independent acquisitionHigh dimensionalityData dependentBiomarkersDatabases ChemicalChromatography LiquidAnalytical chemistry
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