0000000000347520

AUTHOR

Giuseppe Agapito

0000-0003-2868-7732

showing 2 related works from this author

Identification of polymorphic variants associated with erlotinib-related skin toxicity in advanced non-small cell lung cancer patients by DMET microa…

2016

Purpose: Erlotinib is a targeted agent commonly used in advanced non-small cell lung cancer (aNSCLC). However, drug-related skin toxicity often may affect the quality of life of cancer patients and lead to treatment discontinuation. Genetic polymorphisms in drug transporters and metabolizing enzymes play a major role in the interindividual variability in terms of efficacy and toxicity of erlotinib treatment. The aim of our study was to identify genetic determinants in adsorption, distribution, metabolism, and excretion genes influencing skin rash (SR) by the novel drug-metabolizing enzyme and transporter (DMET) microarray Affymetrix platform in aNSCLC patients. Methods: In a retrospective s…

0301 basic medicineOncologyMaleCancer ResearchLung Neoplasmsgenetic structuresMicroarrayPharmacologyToxicologySkin rash.0302 clinical medicineNon-small cell lung cancerCarcinoma Non-Small-Cell LungGenotypePharmacology (medical)Erlotinib HydrochlorideCholecalciferolOligonucleotide Array Sequence AnalysisSkin rashMiddle AgedOncologyErlotinib030220 oncology & carcinogenesisFemaleErlotinibDrug Eruptionsmedicine.drugmedicine.medical_specialtyGenotypeSingle-nucleotide polymorphismAntineoplastic AgentsPolymorphism Single Nucleotide03 medical and health sciencesErlotinib HydrochlorideInternal medicinemedicineHumansLung cancerAgedRetrospective StudiesPharmacology25-Hydroxyvitamin D3 1-alpha-HydroxylaseInflammationbusiness.industryMicroarray analysis techniquesCancerSingle nucleotide polymorphismsmedicine.diseaseSingle nucleotide polymorphism030104 developmental biologyDMETQuality of Lifebusiness
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OSAnalyzer: A Bioinformatics Tool for the Analysis of Gene Polymorphisms Enriched with Clinical Outcomes.

2016

Background: The identification of biomarkers for the estimation of cancer patients’ survival is a crucial problem in modern oncology. Recently, the Affymetrix DMET (Drug Metabolizing Enzymes and Transporters) microarray platform has offered the possibility to determine the ADME (absorption, distribution, metabolism, and excretion) gene variants of a patient and to correlate them with drug-dependent adverse events. Therefore, the analysis of survival distribution of patients starting from their profile obtained using DMET data may reveal important information to clinicians about possible correlations among drug response, survival rate, and gene variants. Methods: In order to provide support …

0301 basic medicinepharmacogenomicoverall survivalBiomedical EngineeringDME genes; genotyping microarrays; overall survival; pharmacogenomics; progression-free survivalBioengineeringBiologyBioinformaticsBiochemistryArticlelcsh:Biochemistrygenotyping microarray03 medical and health sciencesmedicineOverall survivallcsh:QD415-436Progression-free survivalgenotyping microarraysAdverse effectSurvival rateGeneADMEpharmacogenomicsADME geneCancermedicine.diseaseADME genesgenotyping microarrays; ADME genes; pharmacogenomics; overall survival; progression-free survival030104 developmental biologyPharmacogenomicsprogression-free survivalBiotechnologyMicroarrays (Basel, Switzerland)
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