Search results for "MESH : Survival Analysis"

showing 5 items of 5 documents

Survival cost of an early immune soliciting in nature.

2009

8 pages; International audience; If immune functions confer obvious benefits to hosts, life-history theory assumes that they also induce costs, leading to trade-offs between immunity and other fitness components. However, whether substantial fitness costs are associated with immune systems in the wild is debatable, as numerous factors may influence the costs and benefits associated with immune activation. Here, we explore the survival cost of immune deployment in postfledging birds. We injected Eurasian collared dove nestlings (Streptopelia decaocto) with antigens from Escherichia coli, and examined whether this immune challenge affected survival after fledging. To assess survival, birds we…

0106 biological sciencesMESH : Escherichia coliimmune defensesMESH : Bird Diseases[ SDV.IMM.IA ] Life Sciences [q-bio]/Immunology/Adaptive immunology01 natural sciencesMESH: Bird DiseasesPredationNesting BehaviorBody SizeMESH: AnimalsMESH: Nesting BehaviorEscherichia coli InfectionsMESH : Adaptation Physiological0303 health sciencesbiologyMESH: Escherichia coli[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]StreptopeliaFledgeMESH : Antigens BacterialMESH : Immunity InnateAdaptation Physiological[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE][SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunologyMESH : Escherichia coli InfectionsMESH: Survival AnalysisMESH: Immunity InnateGeneral Agricultural and Biological Sciencessurvival.Immune activationfitness costMESH : Body SizeMESH : Nesting Behavior010603 evolutionary biologysurvivalBirds03 medical and health sciencesImmune systemAntigenImmunityGeneticsEscherichia coliAnimalsColumbidaeEcology Evolution Behavior and SystematicsMESH: Escherichia coli Infections030304 developmental biologyMESH: ColumbidaeAntigens BacterialMESH: Body SizeBird Diseasesbiology.organism_classificationMESH: Adaptation PhysiologicalSurvival AnalysisImmunity Innatefree-ranging vertebrateImmunologybacteriaMESH : AnimalsMESH : Survival AnalysisMESH : ColumbidaeMESH: Antigens BacterialFitness cost
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Quality, comparability and methods of analysis of data on childhood cancer in Europe (1978-1997): report from the Automated Childhood Cancer Informat…

2006

International audience; In collaboration with 62 population-based cancer registries contributing to the Automated Childhood Cancer Information System (ACCIS), we built a database to study incidence and survival of children and adolescents with cancer in Europe. We describe the methods and evaluate the quality and internal comparability of the database, by geographical region, period of registration, type of registry and other characteristics. Data on 88,465 childhood and 15,369 adolescent tumours registered during 1978-1997 were available. Geographical differences in incidence are caused partly by differences in definition of eligible cases. The observed increase in incidence rates cannot b…

Cancer ResearchPediatricsDatabases FactualMESH: RegistriesMESH : Child Preschool[ SDV.CAN ] Life Sciences [q-bio]/Cancer0302 clinical medicineMESH : ChildNeoplasmsMESH: ChildEpidemiologyMedicineMESH: NeoplasmsRegistries030212 general & internal medicineMESH: IncidenceChildeducation.field_of_studyIncidenceIncidence (epidemiology)ComparabilityMESH: Infant NewbornQuality - methods - childhood cancer - EuropeMESH : InfantMESH : AdultMESH: InfantMESH : Incidence3. Good healthEuropeMESH: Reproducibility of ResultsOncologyChild Preschool030220 oncology & carcinogenesisMESH: Survival AnalysisAdultmedicine.medical_specialtyAdolescentPopulationMESH : EuropeMEDLINE[SDV.CAN]Life Sciences [q-bio]/CancerMESH : Databases FactualMESH : Infant Newborn03 medical and health sciencesEnvironmental healthMESH : AdolescentHumanseducationSurvival analysisMESH: AdolescentMESH: Humansbusiness.industryMESH : Reproducibility of ResultsMESH: Child PreschoolMESH : HumansInfant NewbornInfantReproducibility of ResultsCancerMESH: Adultmedicine.diseaseSurvival AnalysisMESH: Databases FactualMESH : NeoplasmsData qualityMESH: EuropeMESH : Survival AnalysisbusinessMESH : Registries
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Analysis of RET promoter CpG island methylation using methylation-specific PCR (MSP), pyrosequencing, and methylation-sensitive high-resolution melti…

2016

Background Already since the 1990s, promoter CpG island methylation markers have been considered promising diagnostic, prognostic, and predictive cancer biomarkers. However, so far, only a limited number of DNA methylation markers have been introduced into clinical practice. One reason why the vast majority of methylation markers do not translate into clinical applications is lack of independent validation of methylation markers, often caused by differences in methylation analysis techniques. We recently described RET promoter CpG island methylation as a potential prognostic marker in stage II colorectal cancer (CRC) patients of two independent series. Methods In the current study, we analy…

Male0301 basic medicineMESH: Sequence Analysis DNABisulfite sequencingAnalytic sensitivityMS-HRMMESH : AgedMESH : Promoter Regions GeneticPolymerase Chain Reaction[ SDV.CAN ] Life Sciences [q-bio]/Cancer0302 clinical medicineMESH: DNA MethylationMESH : FemaleMESH : Proto-Oncogene Proteins c-retPromoter Regions GeneticMESH: CpG IslandsMESH : Polymerase Chain ReactionGenetics (clinical)MESH: AgedDNA methylationMESH : PrognosisMethylationMESH : CpG IslandsPrognosispyrosequencing030220 oncology & carcinogenesisMESH: Survival AnalysisDNA methylationFemaleMESH : Colorectal NeoplasmsMESH : Sensitivity and SpecificityColorectal NeoplasmsMESH : Male[SDV.CAN]Life Sciences [q-bio]/CancerBiologySensitivity and SpecificityMESH: Proto-Oncogene Proteins c-retHigh Resolution MeltMESH: Prognosis03 medical and health sciencesMESH: Promoter Regions GeneticGeneticsHumansMolecular BiologyAgedMESH: HumansResearchMSPProto-Oncogene Proteins c-retMESH : HumansMESH: Polymerase Chain ReactionSequence Analysis DNASurvival AnalysisMolecular biologyMESH: Sensitivity and SpecificityMESH: Male030104 developmental biologyPyrosequencingIllumina Methylation AssayCpG IslandsCancer biomarkersClinical sensitivityPrimer (molecular biology)MESH : Survival AnalysisRETMESH: FemaleMESH : DNA MethylationMESH: Colorectal NeoplasmsDevelopmental BiologyMESH : Sequence Analysis DNA
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Surrogate endpoints for overall survival in digestive oncology trials: which candidates? A questionnaires survey among clinicians and methodologists

2010

Abstract Background Overall survival (OS) is the gold standard for the demonstration of a clinical benefit in cancer trials. Replacement of OS by a surrogate endpoint allows to reduce trial duration. To date, few surrogate endpoints have been validated in digestive oncology. The aim of this study was to draw up an ordered list of potential surrogate endpoints for OS in digestive cancer trials, by way of a survey among clinicians and methodologists. Secondary objective was to obtain their opinion on surrogacy and quality of life (QoL). Methods In 2007 and 2008, self administered sequential questionnaires were sent to a panel of French clinicians and methodologists involved in the conduct of …

OncologyCancer ResearchTime FactorsDigestive System Neoplasms[ SDV.CAN ] Life Sciences [q-bio]/Cancer0302 clinical medicineQuality of lifeSurveys and QuestionnairesMedicine030212 general & internal medicineMESH: Treatment OutcomeResponse rate (survey)MESH : Evidence-Based MedicineClinical Trials as TopicEvidence-Based MedicineMESH: Endpoint DeterminationMESH: Research DesignMESH : QuestionnairesMESH : Research Designlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens3. Good healthMESH: Reproducibility of Resultsmedicine.anatomical_structureTreatment OutcomeOncologyResearch Design030220 oncology & carcinogenesisData Interpretation StatisticalMESH: Survival AnalysisMESH : Disease-Free SurvivalMESH : Endpoint DeterminationFranceMESH : Time FactorsResearch Articlemedicine.medical_specialtyMESH: Clinical Trials as TopicEndpoint DeterminationRectum[SDV.CAN]Life Sciences [q-bio]/CancerMESH : Treatment Outcomelcsh:RC254-282Disease-Free Survival03 medical and health sciences[SDV.CAN] Life Sciences [q-bio]/CancerInternal medicineGeneticsHumansMESH : Data Interpretation StatisticalMESH : FranceSurvival analysisMESH: Humansbusiness.industrySurrogate endpointMESH: Digestive System NeoplasmsMESH : Reproducibility of ResultsMESH: QuestionnairesMESH : HumansMESH: Time FactorsCancerReproducibility of ResultsMESH: Quality of LifeMESH : Quality of Lifemedicine.diseaseSurvival AnalysisMESH : Clinical Trials as TopicMESH: FranceLocalized diseaseEndpoint DeterminationMESH: Disease-Free SurvivalQuality of LifeMESH : Digestive System NeoplasmsMESH : Survival AnalysisbusinessMESH: Data Interpretation StatisticalMESH: Evidence-Based MedicineBMC Cancer
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Factors related to the relative survival of patients with diffuse large B-cell lymphoma in a population-based study in France: does socio-economic st…

2017

IF 7.702; International audience; The survival of patients with diffuse large B-cell lymphoma has increased during the last decade as a result of addition of anti-CD20 to anthracycline-based chemotherapy. Although the trend is encouraging, there are persistent differences in survival within and between the USA and European countries suggesting that non-biological factors play a role. Our aim was to investigate the influence of such factors on relative survival of patients with diffuse large B-cell lymphoma. We conducted a retrospective, multicenter, registry-based study in France on 1165 incident cases of diffuse large B-cell lymphoma between 2002 and 2008. Relative survival analyses were p…

[SDV.MHEP.HEM] Life Sciences [q-bio]/Human health and pathology/HematologyMale0301 basic medicinePediatricsMultivariate analysisMESH: RegistriesMESH : AgedMESH: ComorbidityComorbidityMESH : Lymphoma Large B-Cell DiffuseMESH: Aged 80 and over0302 clinical medicineInternational Prognostic IndexMESH : ChildMESH: ChildMESH : Population Surveillance[ SDV.MHEP.HEM ] Life Sciences [q-bio]/Human health and pathology/HematologyMESH : FemaleRegistriesYoung adultChildAged 80 and overMESH: AgedMESH: Middle AgedMESH : PrognosisRelative survivalMESH: Patient Outcome Assessment[SDV.MHEP.HEM]Life Sciences [q-bio]/Human health and pathology/HematologyArticlesHematologyMiddle AgedMESH : AdultPrognosisMESH : Patient Outcome Assessment3. Good healthMESH: Young AdultPopulation SurveillanceMESH: Survival Analysis030220 oncology & carcinogenesisMESH : ComorbidityMarital statusFemaleFranceLymphoma Large B-Cell DiffuseNon-Hodgkin LeukemiaAdultmedicine.medical_specialtyAdolescentMESH : MaleMESH: Factor Analysis StatisticalMESH : Young AdultMESH : Factor Analysis StatisticalMESH: PrognosisMESH: Population SurveillanceMESH: Social ClassYoung Adult03 medical and health sciencesMESH : AdolescentInternal medicineMESH : Social ClassmedicineHumansMESH : Middle AgedMESH : Aged 80 and overMESH : FranceSurvival analysisAgedMESH: AdolescentMESH: Humansbusiness.industryMESH : HumansMESH: Adultmedicine.diseaseSurvival AnalysisComorbidityMESH: MalePatient Outcome AssessmentMESH: France030104 developmental biologySocial ClassMESH: Lymphoma Large B-Cell DiffuseMESH : Survival AnalysisFactor Analysis StatisticalbusinessMESH: FemaleDiffuse large B-cell lymphomaMESH : RegistriesHaematologica
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