Search results for "Epidemiology"

showing 10 items of 4214 documents

Germline variation in the insulin-like growth factor pathway and risk of Barrett's esophagus and esophageal adenocarcinoma

2020

Contains fulltext : 235640.pdf (Publisher’s version ) (Closed access) Genome-wide association studies (GWAS) of esophageal adenocarcinoma (EAC) and its precursor, Barrett's esophagus (BE), have uncovered significant genetic components of risk, but most heritability remains unexplained. Targeted assessment of genetic variation in biologically relevant pathways using novel analytical approaches may identify missed susceptibility signals. Central obesity, a key BE/EAC risk factor, is linked to systemic inflammation, altered hormonal signaling and insulin-like growth factor (IGF) axis dysfunction. Here, we assessed IGF-related genetic variation and risk of BE and EAC. Principal component analys…

0301 basic medicineOncologyMaleCancer Researchmedicine.medical_specialtyEsophageal NeoplasmsMedizinSingle-nucleotide polymorphismGenome-wide association studyBiologyAdenocarcinomaPolymorphism Single NucleotideReceptor IGF Type 103 medical and health sciencesBarrett Esophagus0302 clinical medicineRisk FactorsSomatomedinsInternal medicineGenetic variationmedicineBiomarkers TumorSNPHumansGenetic Predisposition to DiseaseRisk factorGerm-Line MutationCancer Biomarkers and Molecular EpidemiologyInsulin-like growth factor 1 receptorGenetic associationAgedGeneral MedicineMiddle Agedmedicine.diseaseRenal disorders Radboud Institute for Molecular Life Sciences [Radboudumc 11]030104 developmental biology030220 oncology & carcinogenesisBarrett's esophagusFemaleHuman medicineCarrier ProteinsGenome-Wide Association StudySignal TransductionCarcinogenesis
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Decreased Time to Treatment Initiation for Multidrug-Resistant Tuberculosis Patients after Use of Xpert MTB/RIF Test, Latvia

2016

This test decreased time to treatment initiation by 66%–84%.

0301 basic medicineOncologyMaleEpidemiologylcsh:Medicine0302 clinical medicine1108 Medical MicrobiologyTuberculosis Multidrug-Resistant030212 general & internal medicinebacteriaDecreased Time to Treatment Initiation for Multidrug-Resistant Tuberculosis Patients after Use of Xpert MTB/RIF Test Latviabiologytime to treatment initiationDrug Resistance MicrobialMiddle Agedmultidrug-resistant tuberculosisRifampin resistanceInfectious Diseases1117 Public Health And Health ServicesTuberculosis Multidrug-Resistant/diagnosisFemaleRifampinLife Sciences & BiomedicineMicrobiology (medical)Adultmedicine.medical_specialtyTuberculosisAdolescentpulmonary030106 microbiologyXpert MTB/RIFImmunologyTime to treatmentMicrobiologylcsh:Infectious and parasitic diseasesTime-to-TreatmentMycobacterium tuberculosismolecular diagnostics03 medical and health sciencesYoung AdultAntibiotic resistancemultidrug resistanceInternal medicinemedicineHumanslcsh:RC109-216Multivariable modelantimicrobial resistanceTuberculin testAntibiotics AntitubercularScience & Technologybusiness.industryTuberculin TestResearchlcsh:RMycobacterium tuberculosis/drug effects1103 Clinical SciencesMycobacterium tuberculosisbiology.organism_classificationmedicine.diseaseAntibiotics Antitubercular/pharmacologyLatviatuberculosis and other mycobacteriaMultiple drug resistanceMODELTuberculin Test/methodsbusinessRifampin/pharmacologyMDR TB
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Impact of Donor Activating KIR Genes on HSCT Outcome in C1-Ligand Negative Myeloid Disease Patients Transplanted with Unrelated Donors-A Retrospectiv…

2017

Natural Killer cells (NK) are lymphocytes with the potential to recognize and lyse cells which escaped T-cell mediated lysis due to their aberrant HLA expression profiles. Killer cell immunoglobulin-like receptors (KIR) influence NK-cell activity by mediation of activating or inhibitory signals upon interaction with HLA-C (C1, C2) ligands. Therefore, absence of ligands for donor inhibitory KIRs following hematopoietic stem cell transplantation (HSCT) may have an influence on its outcome. Previous studies showed that C1 negative patients have a decreased HSCT outcome. Our study, based on a cohort of 200 C1-negative patients, confirmed these findings for the endpoints: overall survival (OS: H…

0301 basic medicineOncologyMaleMyeloidCell Transplantationmedicine.medical_treatmentlcsh:MedicineHematopoietic stem cell transplantationNK cellsLigandsCohort StudiesWhite Blood Cells0302 clinical medicineMathematical and Statistical TechniquesReceptors KIRCell SignalingComplement C1Animal CellsMedicine and Health SciencesBlood and Lymphatic System ProceduresMembrane Receptor SignalingReceptorlcsh:ScienceBone Marrow TransplantationMultidisciplinaryT CellsIncidence (epidemiology)Hematopoietic Stem Cell TransplantationMiddle AgedImmune Receptor Signaling3. Good healthKiller Cells Naturalmedicine.anatomical_structureTreatment OutcomeHematologic NeoplasmsCohortPhysical SciencesFemaleCellular TypesUnrelated DonorsStatistics (Mathematics)Research ArticleSignal TransductionAdultmedicine.medical_specialtyAdolescentImmune CellsImmunologySurgical and Invasive Medical ProceduresResearch and Analysis Methods03 medical and health sciencesYoung AdultInternal medicinemedicineConfidence IntervalsHumansClinical significanceddc:610Statistical MethodsAgedRetrospective StudiesTransplantationBlood Cellsbusiness.industrylcsh:RBiology and Life SciencesRetrospective cohort studyCell BiologyMultivariate analysis; Stem cell transplantation; T cells; Bone marrow transplantation; NK cells; Hematopoietic stem cell transplantation; Immune receptor signalingTransplantation030104 developmental biologyImmunologyMultivariate Analysislcsh:QbusinessMathematics030215 immunologyStem Cell TransplantationPLoS ONE
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Epidemiology and biological characteristics of male breast cancer in Italy.

2020

Aim: To evaluate the epidemiology of male breast cancer (MBC) in Italy and to describe incidence and survival data in relation to age, morphology, year of incidence, geographic area, and possible association with other cancers compared with female BC. Methods: Cases were extracted from 40 Italian Cancer Registries. Standardized incidence rates (SIR), age-specific rates, and 5-year survival were calculated. The association with second tumors was also evaluated. All data were compared with data from female BCs. Results: In the 2000–2014 period, 2175 new cases of MBC were registered, with an SIR of 1.7 × 100,000. The incidence showed a slight upward trend and increased with increasing age. The…

0301 basic medicineOncologyMaleReceptor ErbB-2Sex Factormale breast cancerKaplan-Meier Estimate0302 clinical medicineclinical and biological characteristics; male breast cancer; second cancers; stage; survivalMedicinePharmacology (medical)Age FactorBreastRegistriesAged 80 and overclinical and biological characteristicsGeographyIncidence (epidemiology)IncidenceCarcinoma Ductal BreastAge FactorsNeoplasms Second PrimaryGeneral MedicineMiddle Agedsecond cancersSurvival RateOncologyItalyReceptors Estrogen030220 oncology & carcinogenesisMale breast cancerFemaleReceptors ProgesteroneBreast NeoplasmYoung Adult.Adultmedicine.medical_specialtyBreast NeoplasmssurvivalBreast Neoplasms Male03 medical and health sciencesYoung AdultBreast cancerSex FactorsInternal medicineHumansRadiology Nuclear Medicine and imagingRisk factorSurvival rateCancer stagingAgedbusiness.industryCancermedicine.diseasestageCancer registry030104 developmental biologyKi-67 AntigenClinical and biological characteristicbusinessBreast cancer (Tokyo, Japan)
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Gender medicine and oncology: report and consensus of an ESMO workshop.

2019

Background: The importance of sex and gender as modulators of disease biology and treatment outcomes is well known in other disciplines of medicine, such as cardiology, but remains an undervalued issue in oncology. Considering the increasing evidence for their relevance, European Society for Medical Oncology decided to address this topic and organized a multidisciplinary workshop in Lausanne, Switzerland, on 30 November and 1 December 2018.

0301 basic medicineOncologyMalemedicine.medical_specialtypopulation pharmacokinetic analysissuperior survivalDecision MakingMEDLINElymphomaDiseaseclearanceMedical Oncology03 medical and health sciences0302 clinical medicinerituximabInternal medicineNeoplasmsPhysiciansEpidemiologymedicinegendermelanomasexcancerHumansDosingfemale-patientsSex Characteristicsbusiness.industrygender medicineCancerHematologymedicine.diseaseChemotherapy regimenClinical trial030104 developmental biologyTreatment Outcome030220 oncology & carcinogenesisoncologyimpactBody CompositionFemalepharmacologybusinesssex-differencesSex characteristicsAnnals of oncology : official journal of the European Society for Medical Oncology
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Worldwide comparison of ovarian cancer survival: Histological group and stage at diagnosis (CONCORD-2)

2016

Abstract Objective Ovarian cancer comprises several histological groups with widely differing levels of survival. We aimed to explore international variation in survival for each group to help interpret international differences in survival from all ovarian cancers combined. We also examined differences in stage-specific survival. Methods The CONCORD programme is the largest population-based study of global trends in cancer survival, including data from 60 countries for 695,932 women (aged 15–99years) diagnosed with ovarian cancer during 1995–2009. We defined six histological groups: type I epithelial, type II epithelial, germ cell, sex cord-stromal, other specific non-epithelial and non-sp…

0301 basic medicineOncologySettore MED/42 - Igiene Generale E Applicata0302 clinical medicinemorphology80 and overStage (cooking)Aged 80 and overOvarian Neoplasmseducation.field_of_studyepidemiology; histology; morphology; ovarian cancer; stage; survival; Adolescent; Adult; Aged; Aged 80 and over; Female; Humans; Middle Aged; Neoplasm Staging; Ovarian Neoplasms; Oncology; Obstetrics and GynecologyObstetrics and Gynecologyepidemiology; histology; morphology; ovarian cancer; stage; survivalMiddle AgedTransitional cell carcinomaovarian cancerOncology030220 oncology & carcinogenesisClear cell carcinomaepidemiologyFemaleHumanAdultmedicine.medical_specialtyAdolescentPopulationSocio-culturalesurvivalArticlehistology03 medical and health sciencesInternal medicinemedicineHumansovarian cancer epidemiology survival stage morphology histologyeducationepidemiology ; histology ; morphology ; ovarian cancer ; stage ; survivalCancer stagingAgedNeoplasm StagingGynecologybusiness.industryOvarian NeoplasmCancermedicine.diseasestageCancer registry030104 developmental biologyOvarian cancerbusiness
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Molecular landscape of esophageal cancer: implications for early detection and personalized therapy

2018

Esophageal cancer (EC) is one of the most lethal cancers and a public health concern worldwide, owing to late diagnosis and lack of efficient treatment. Esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) are main histopathological subtypes of EC that show striking differences in geographical distribution, possibly due to differences in exposure to risk factors and lifestyles. ESCC and EAC are distinct diseases in terms of cell of origin, epidemiology, and molecular architecture of tumor cells. Past efforts aimed at translating potential molecular candidates into clinical practice proved to be challenging, underscoring the need for identifying novel candidates for …

0301 basic medicineOncologymedicine.medical_specialtyEsophageal Neoplasmsmedicine.medical_treatmentEarly detectionGenomicsDiseaseAdenocarcinomaGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicineHistory and Philosophy of ScienceInternal medicineEpidemiologyHumansMedicineEarly Detection of CancerEpigenomicsbusiness.industryGeneral NeuroscienceEpigenomeImmunotherapyEsophageal cancermedicine.disease030104 developmental biology030220 oncology & carcinogenesisMutationEsophageal Squamous Cell CarcinomabusinessAnnals of the New York Academy of Sciences
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PML risk stratification using anti-JCV antibody index and L-selectin

2015

Background: Natalizumab treatment is associated with progressive multifocal leukoencephalopathy (PML) development. Treatment duration, prior immunosuppressant use, and JCV serostatus are currently used for risk stratification, but PML incidence stays high. Anti-JCV antibody index and L-selectin (CD62L) have been proposed as additional risk stratification parameters. Objective: This study aimed at verifying and integrating both parameters into one algorithm for risk stratification. Methods: Multicentric, international cohorts of natalizumab-treated MS patients were assessed for JCV index (1921 control patients and nine pre-PML patients) and CD62L (1410 control patients and 17 pre-PML patient…

0301 basic medicineOncologymedicine.medical_specialtyMultiple SclerosisvirusesMedizinOpportunistic InfectionsAntibodies ViralBioinformaticsRisk AssessmentImmunocompromised Host03 medical and health sciences0302 clinical medicineNatalizumabRisk FactorsInternal medicineHumansMedicineSerologic TestsL-SelectinRisk factorRetrospective Studiesbusiness.industryNatalizumabProgressive multifocal leukoencephalopathyMultiple sclerosisIncidence (epidemiology)Leukoencephalopathy Progressive Multifocalvirus diseasesmedicine.diseaseJC VirusEuropeTreatment Outcome030104 developmental biologyNeurologyRelative riskBiomarker (medicine)Neurology (clinical)businessSerostatusAlgorithmsBiomarkers030217 neurology & neurosurgerymedicine.drugMultiple Sclerosis Journal
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Melanoma of unknown primary: New perspectives for an old story

2021

Melanoma of unknown primary site (MUP) comprises 3-4 % of all melanomas. It mostly presents in lymph nodes (LNs), followed by subcutaneous sites, and visceral organs; nevertheless, there is a trend of increase in the relative incidence of visceral counterpart in recent years. Spontaneous regression of the primary lesion is a well-established theory, based on the evidence that melanoma can undergo regression at the primary site. MUP and stage-matched melanoma of known primary site (MKP) share similar prognostic factors. The survival rate of patients with MUP has been compared to those with stage-matched MKP. Multiple studies conducted before the era of novel therapy with immune checkpoint or…

0301 basic medicineOncologymedicine.medical_specialtymedicine.medical_treatment2720 Hematology610 Medicine & healthTargeted therapy03 medical and health sciences0302 clinical medicineInternal medicineEpidemiologymedicineHumansMelanomaSurvival rateHematologybusiness.industryIncidenceMelanomaIncidence (epidemiology)General MedicineHematologyImmunotherapymedicine.disease10174 Clinic for GynecologyImmune checkpointSurvival Rate030104 developmental biologyOncology030220 oncology & carcinogenesisNeoplasms Unknown Primary2730 OncologyLymph NodesGeriatrics and GerontologybusinessCritical Reviews in Oncology/Hematology
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Consequences of organ choice in describing bacterial pathogen assemblages in a rodent population

2017

SUMMARYHigh-throughput sequencing technologies now allow for rapid cost-effective surveys of multiple pathogens in many host species including rodents, but it is currently unclear if the organ chosen for screening influences the number and identity of bacteria detected. We used 16S rRNA amplicon sequencing to identify bacterial pathogens in the heart, liver, lungs, kidneys and spleen of 13 water voles (Arvicola terrestris) collected in Franche-Comté, France. We asked if bacterial pathogen assemblages within organs are similar and if all five organs are necessary to detect all of the bacteria present in an individual animal. We identified 24 bacteria representing 17 genera; average bacterial…

0301 basic medicineOperational taxonomic unitMESH: Sequence Analysis DNAEpidemiologyMESH : PrevalenceMESH : Tissue DistributionRodent DiseasesRNA Ribosomal 16Sbacterial pathogensPrevalenceMESH : DNA BacterialTissue DistributionMESH: AnimalsPathogen[SDV.EE]Life Sciences [q-bio]/Ecology environmenteducation.field_of_studybiologyEcologyArvicolinaeMicrobiotaMESH : Rodent Diseases3. Good healthMESH: RNA Ribosomal 16SInfectious DiseasesArvicolinaeFrancerodent-borne pathogenDNA Bacterial030106 microbiologyPopulationShort ReportZoology[ SDV.EE ] Life Sciences [q-bio]/Ecology environment03 medical and health sciencesAnimalsMESH: MicrobiotaMESH : BacteriaMESH: Tissue DistributionArvicola terrestriseducationMESH : FranceMESH: Prevalence[ SDE.BE ] Environmental Sciences/Biodiversity and EcologyBacteriaHost (biology)tissue selectionBacteria PresentSequence Analysis DNAMESH: Arvicolinaebiology.organism_classificationMESH: DNA BacterialMESH: FranceMESH : ArvicolinaeMESH : RNA Ribosomal 16SMESH: BacteriaHigh-Throughput Sequencing030104 developmental biologyMESH : MicrobiotaSpecies richnessMESH: Rodent DiseasesMESH : Animals[SDE.BE]Environmental Sciences/Biodiversity and EcologyBacteriaMESH : Sequence Analysis DNA
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