0000000000385582

AUTHOR

David Montaner

showing 11 related works from this author

Cryptochrome-1 expression: a new prognostic marker in B-cell chronic lymphocytic leukemia

2008

Chronic lymphocytic leukemia is an adult-onset leukemia with a heterogeneous clinical behavior. When chronic lymphocytic leukemia cases were divided on the basis of IgVH mutational status, widely differing clinical courses were revealed. Since IgVH sequencing is difficult to perform in a routine diagnostic laboratory, finding a surrogate for IgVH mutational status seems an important priority. In the present study, we proposed the use of Cryptochrome- 1 as a new prognostic marker in early-stage chronic lymphocytic leukemia. Seventy patients (Binet stage A, without treatment) were included in the study. We correlated Cryptochrome-1 mRNA with well established prognostic markers such as IgVH mu…

Oncologymedicine.medical_specialtyChronic lymphocytic leukemiaIgV(H)ZAP70 LPL IgVHImmunoglobulin E:CIENCIAS MÉDICAS ::Patología::Hematología [UNESCO]Prognostic markerPredictive Value of TestsInternal medicinemedicineHumansUNESCO::CIENCIAS MÉDICAS ::Patología::HematologíaRNA MessengerStage (cooking)HematologybiologyFlavoproteinsZAP70CancerHematologyCryptochrome-1medicine.diseasePrognosis:CIENCIAS MÉDICAS [UNESCO]Leukemia Lymphocytic Chronic B-CellCryptochromesLeukemiaUNESCO::CIENCIAS MÉDICAS ::Patología::OncologíaImmunologyUNESCO::CIENCIAS MÉDICASbiology.proteinZAP70Brief ReportsChronic lymphocytic leukemiaAntibodyLPL:CIENCIAS MÉDICAS ::Patología::Oncología [UNESCO]BiomarkersCryptochrome-1 ; Prognostic marker ; Chronic lymphocytic leukemia ; ZAP70 LPL IgVH
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MicroRNA profiling associated with non-small cell lung cancer: next generation sequencing detection, experimental validation, and prognostic value

2017

[EN] Background: The average five-year survival for non-small cell lung cancer (NSCLC) patients is approximately 15%. Emerging evidence indicates that microRNAs (miRNAs) constitute a new class of gene regulators in humans that may play an important role in tumorigenesis. Hence, there is growing interest in studying their role as possible new biomarkers whose expression is aberrant in cancer. Therefore, in this study we identified dysregulated miRNAs by next generation sequencing (NGS) and analyzed their prognostic value. Methods: Sequencing by oligo ligation detection technology was used to identify dysregulated miRNAs in a training cohort comprising paired tumor/normal tissue samples (N = …

0301 basic medicineOncologymedicine.medical_specialtyPathologyBIOLOGIA CELULARNSCLCDNA sequencing03 medical and health sciences0302 clinical medicineInternal medicineMedicineLung cancerValenciaSurvival analysisbiologybusiness.industryProportional hazards modelProfilingExperimental validationbiology.organism_classificationmedicine.diseasePrognosismicroRNAsMicroRNAs030104 developmental biologyOncology030220 oncology & carcinogenesisNGSNon small cellPersonalized medicineprognosisprofilingbusinessResearch Paper
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MiRNA profiling by NGS in resectable non-small cell lung cancer: Prognostic implications.

2014

7559 Background: MicroRNAs (miRNA) regulate gene expression, and are implicated in several processes like tumorogenesis. Here, we applied a multiplexed NGS approach to study differentially expressed miRNAs (tumor/ normal) in a cohort of resectable NSCLC patients and its correlation with clinical outcome. Methods: RNA was isolated from frozen lung specimens (tumor/ normal) from 33 patients. High-quality samples were analyzed and enriched in the miRNA fraction. Libraries were prepared according to manufactured instruction (SOLID), and miRNAs were sequenced. Data analysis was carried out using CLCbio software. First, raw data were annotated using miRBase and normalized by total reads followed …

Cancer ResearchIn silicoRNAComputational biologyBiologyBioinformaticsmedicine.diseaseMiRBaseOncologymicroRNAGene expressionmedicineMirna profilingNon small cellLung cancer
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Understanding disease mechanisms with models of signaling pathway activities

2014

Background Understanding the aspects of the cell functionality that account for disease or drug action mechanisms is one of the main challenges in the analysis of genomic data and is on the basis of the future implementation of precision medicine. Results Here we propose a simple probabilistic model in which signaling pathways are separated into elementary sub-pathways or signal transmission circuits (which ultimately trigger cell functions) and then transforms gene expression measurements into probabilities of activation of such signal transmission circuits. Using this model, differential activation of such circuits between biological conditions can be estimated. Thus, circuit activation s…

Signaling pathwaysComputer scienceSystems biologyStem cellsDiseaseDrug actionComputational biologyModels BiologicalMiceSpecies SpecificityStructural BiologyModelling and SimulationAnimalsHumansComputer SimulationDiseaseObesityMolecular BiologyCancerRegulation of gene expressionInternetMechanism (biology)Methodology ArticleApplied MathematicsProbabilistic modelPrecision medicineStatistical modelPrecision medicineComputer Science ApplicationsGene Expression RegulationFanconi anemiaModeling and SimulationDisease mechanismSignal transductionAlgorithmBiomarkersSoftwareSignal TransductionBMC Systems Biology
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Defining the genomic signature of totipotency and pluripotency during early human development.

2013

The genetic mechanisms governing human pre-implantation embryo development and the in vitro counterparts, human embryonic stem cells (hESCs), still remain incomplete. Previous global genome studies demonstrated that totipotent blastomeres from day-3 human embryos and pluripotent inner cell masses (ICMs) from blastocysts, display unique and differing transcriptomes. Nevertheless, comparative gene expression analysis has revealed that no significant differences exist between hESCs derived from blastomeres versus those obtained from ICMs, suggesting that pluripotent hESCs involve a new developmental progression. To understand early human stages evolution, we developed an undifferentiation netw…

EmbryologyBlastomeresMicroarraysCellular differentiationGene ExpressionCell Fate DeterminationMolecular Cell BiologyGene Regulatory NetworksInduced pluripotent stem cellreproductive and urinary physiologyGeneticsMultidisciplinarySystems BiologyStem CellsQTotipotentRGenomic signatureCell DifferentiationGenomicsCell biologyFunctional GenomicsBlastocyst Inner Cell MassBlastocyst Inner Cell Massembryonic structuresMedicineResearch ArticlePluripotent Stem CellsSystems biologyCell PotencyScienceEmbryonic DevelopmentBiologyMolecular GeneticsGeneticsHumansGene NetworksBiologyEmbryonic Stem CellsGenome HumanGene Expression ProfilingBio-OntologiesComputational BiologyMolecular Sequence AnnotationComparative GenomicsMolecular DevelopmentEmbryonic stem cellSignalingSignaling NetworksGene expression profilingGenome Expression AnalysisTotipotent Stem CellsDevelopmental BiologyPLoS ONE
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Characterization of the Proteomic and Genomic Profiles of Chronic Lymphocytic Leukemia Patients with Distinct Clinical Prognosis According to the Mut…

2005

Abstract Introduction: In recent years several molecular prognostic factors have been identified in Chronic Lymphocytic Leukemia B (B-CLL). These include mutations in the variable region of the immunoglobulin genes (IgVH), somatic mutations in the BCL6 gene (Leukemia (2004) 18, 743–746) and the expression level of CD38 and ZAP70. However its biological significance is not clear. In order to identify novel molecular markers with prognostic and therapeutic value we have analyzed the proteomic and genomic profile of 40 B-CLL patients (Binet stage A). Material and methods: 100 μg of total PBMC proteins were used for IEF followed by 2D electrophoresis. Image analysis of scanned gels was used to …

GeneticsMutationTwo-dimensional gel electrophoresisImmunologyCell BiologyHematologyBiologymedicine.disease_causeBiochemistryMolecular biologyGene expression profilingGenomic ProfileGene expressionmedicineHuman genomePeptide-mass fingerprintGeneBlood
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FM19G11, a New Hypoxia-inducible Factor (HIF) Modulator, Affects Stem Cell Differentiation Status

2009

The biology of the alpha subunits of hypoxia-inducible factors (HIF alpha) has expanded from their role in angiogenesis to their current position in the self-renewal and differentiation of stem cells. The results reported in this article show the discovery of FM19G11, a novel chemical entity that inhibits HIF alpha proteins that repress target genes of the two alpha subunits, in various tumor cell lines as well as in adult and embryonic stem cell models from rodents and humans, respectively. FM19G11 inhibits at nanomolar range the transcriptional and protein expression of Oct4, Sox2, Nanog, and Tgf-alpha undifferentiating factors, in adult rat and human embryonic stem cells, FM19G11 activit…

MaleHomeobox protein NANOGTranscription GeneticCellular differentiationBiologyResponse ElementsBenzoatesBiochemistryHistonesRats Sprague-DawleyMolecular Basis of Cell and Developmental BiologySOX2EpendymaBasic Helix-Loop-Helix Transcription FactorsAnimalsHumansp300-CBP Transcription FactorsMolecular BiologyEmbryonic Stem CellsHomeodomain ProteinsRegulation of gene expressionSOXB1 Transcription FactorsAcetylationCell DifferentiationNanog Homeobox ProteinCell BiologyTransforming Growth Factor alphaHypoxia-Inducible Factor 1 alpha SubunitMolecular biologyEmbryonic stem cellCell HypoxiaRatsCell biologyAdult Stem CellsGene Expression RegulationPharmaceutical PreparationsBenzamidesStem cellOctamer Transcription Factor-3Chromatin immunoprecipitationHeLa CellsAdult stem cellJournal of Biological Chemistry
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Functional Genomics of 5-to 8-Cell Stage Human Embryos by Blastomere Single-Cell cDNA Analysis

2010

Blastomere fate and embryonic genome activation (EGA) during human embryonic development are unsolved areas of high scientific and clinical interest. Forty-nine blastomeres from 5- to 8-cell human embryos have been investigated following an efficient single-cell cDNA amplification protocol to provide a template for high-density microarray analysis. The previously described markers, characteristic of Inner Cell Mass (ICM) (n = 120), stemness (n = 190) and Trophectoderm (TE) (n = 45), were analyzed, and a housekeeping pattern of 46 genes was established. All the human blastomeres from the 5- to 8-cell stage embryo displayed a common gene expression pattern corresponding to ICM markers (e.g., …

BlastomeresDNA ComplementaryScienceCell Biology/Developmental Molecular MechanismsBiologyDevelopmental Biology/Molecular DevelopmentmedicineHumansInner cell massHuman embryogenesisBlastocystCell Biology/Gene ExpressionOligonucleotide Array Sequence AnalysisDevelopmental Biology/EmbryologyMultidisciplinaryMicroarray analysis techniquesGene Expression ProfilingGenetics and Genomics/Functional GenomicsQRGenetics and Genomics/Gene ExpressionEmbryoGenomicsBlastomereGenetics and Genomics/BioinformaticsMolecular biologyEmbryonic stem cellDevelopmental Biology/Stem CellsGene expression profilingmedicine.anatomical_structureembryonic structuresMedicineResearch Article
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Pathway network inference from gene expression data

2014

[EN] Background: The development of high-throughput omics technologies enabled genome-wide measurements of the activity of cellular elements and provides the analytical resources for the progress of the Systems Biology discipline. Analysis and interpretation of gene expression data has evolved from the gene to the pathway and interaction level, i.e. from the detection of differentially expressed genes, to the establishment of gene interaction networks and the identification of enriched functional categories. Still, the understanding of biological systems requires a further level of analysis that addresses the characterization of the interaction between functional modules. Results: We presen…

ESTADISTICA E INVESTIGACION OPERATIVAGene regulatory networkGene ExpressionInferenceSister chromatidsOxidative Phosphorylation//purl.org/becyt/ford/1 [https]Structural BiologyEstadística e Investigación OperativaGene Regulatory NetworksTopology (chemistry)Alzheimers-DiseaseGeneticsDIBUJOBiological systemsApplied MathematicsSystems BiologyCell Cycle//purl.org/becyt/ford/1.2 [https]Computer Science ApplicationsMicroarray experimentsModeling and SimulationIdentification (biology)Functional assessmentDNA-replicationFunctional connectionsGlycolysisCIENCIAS NATURALES Y EXACTASPathway NetworkDNA ReplicationSaccharomyces-CervisiaeBioinformaticsS-phaseSystems biologyGenomicsComputational biologySaccharomyces cerevisiaeBiologyGene interactionAlzheimer DiseaseModelling and SimulationGenomic dataPANAPathwaysMolecular BiologyUbiquitinResearchGene Expression ProfilingR packageGluconeogenesisGene expression profilingComputingMethodologies_PATTERNRECOGNITIONPurinesCiencias de la Computación e InformaciónProteolysisGene expression dataCiencias de la Información y BioinformáticaUbiquitin conjugationPathwayBMC Systems Biology
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Quantitative modeling of clinical, cellular, and extracellular matrix variables suggest prognostic indicators in cancer: a model in neuroblastoma

2014

BACKGROUND: Risk classification and treatment stratification for cancer patients is restricted by our incomplete picture of the complex and unknown interactions between the patient's organism and tumor tissues (transformed cells supported by tumor stroma). Moreover, all clinical factors and laboratory studies used to indicate treatment effectiveness and outcomes are by their nature a simplification of the biological system of cancer, and cannot yet incorporate all possible prognostic indicators. METHODS: A multiparametric analysis on 184 tumor cylinders was performed. To highlight the benefit of integrating digitized medical imaging into this field, we present the results of computational s…

OncologyRiskmedicine.medical_specialtyStromal cellBiologyBioinformaticsExtracellular matrixNeuroblastomaInternal medicineNeuroblastomaNeoplasmsmedicineExtracellularCluster AnalysisHumansIn patientPrecision MedicineChildCell Line TransformedGlycosaminoglycansMultiparametric AnalysisCancerComputational BiologyInfantModels Theoreticalmedicine.diseasePrognosisExtracellular MatrixChild PreschoolPediatrics Perinatology and Child HealthCancer cellStromal CellsAlgorithms
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Analysis of chronic lymphotic leukemia transcriptomic profile: differences between molecular subgroups

2009

B cell chronic lymphocytic leukemia (CLL) is a lymphoproliferative disorder with a variable clinical course. Patients with unmutated IgV(H) gene show a shorter progression-free and overall survival than patients with immunoglobulin heavy chain variable regions (IgV(H)) gene mutated. In addition, BCL6 mutations identify a subgroup of patients with high risk of progression. Gene expression was analysed in 36 early-stage patients using high-density microarrays. Around 150 genes differentially expressed were found according to IgV(H) mutations, whereas no difference was found according to BCL6 mutations. Functional profiling methods allowed us to distinguish KEGG and gene ontology terms showing…

AdultMaleCancer ResearchBCL6BiologyIgVHgenomichemic and lymphatic diseasesmedicineHumansKEGGGenemicroarraysAgedAged 80 and overRegulation of gene expressionGeneticsB-LymphocytesGene Expression ProfilingZAP70HematologyMiddle Agedmedicine.diseaseBCL6Leukemia Lymphocytic Chronic B-CellDNA-Binding ProteinsGene Expression Regulation NeoplasticGene expression profilingLeukemiaOncologyTranscriptomicHealthMutationProto-Oncogene Proteins c-bcl-6Cancer researchImmunoglobulin heavy chainFemaleImmunoglobulin Heavy ChainsCLL
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