0000000000660634

AUTHOR

Isabelle Janoueix-lerosey

showing 2 related works from this author

Segmental chromosomal alterations lead to a higher risk of relapse in infants with MYCN-non-amplified localised unresectable/disseminated neuroblasto…

2011

BACKGROUND: In neuroblastoma (NB), the presence of segmental chromosome alterations (SCAs) is associated with a higher risk of relapse. METHODS: In order to analyse the role of SCAs in infants with localised unresectable/disseminated NB without MYCN amplification, we have performed an array CGH analysis of tumours from infants enrolled in the prospective European INES trials. RESULTS: Tumour samples from 218 out of 300 enroled patients could be analysed. Segmental chromosome alterations were observed in 11%, 20% and 59% of infants enroled in trials INES99.1 (localised unresectable NB), INES99.2 (stage 4s) and INES99.3 (stage 4) (P<0.0001). Progression-free survival was poorer in patients wh…

OncologyCancer Researchmedicine.medical_specialtyPathologyChromosomal AlterationsN-Myc Proto-Oncogene Proteinsegmental chromosome alterationsneuroblastomaNeuroblastomaRecurrenceInternal medicineNeuroblastomamedicineHumansProspective StudiesStage (cooking)Relapse riskProspective cohort studygenomic profileSurvival analysisChromosome AberrationsOncogene ProteinsN-Myc Proto-Oncogene Proteininfantsbusiness.industryInfantNuclear ProteinsGenetics and GenomicsPrognosismedicine.diseaseSurvival AnalysisDoenças GenéticasOncologySegmental Chromosome AlterationsHigh RiskGenomic ProfilebusinessBritish Journal of Cancer
researchProduct

Revised risk estimation and treatment stratification of low- and intermediate-risk neuroblastoma patients by integrating clinical and molecular progn…

2014

Abstract Purpose: To optimize neuroblastoma treatment stratification, we aimed at developing a novel risk estimation system by integrating gene expression–based classification and established prognostic markers. Experimental Design: Gene expression profiles were generated from 709 neuroblastoma specimens using customized 4 × 44 K microarrays. Classification models were built using 75 tumors with contrasting courses of disease. Validation was performed in an independent test set (n = 634) by Kaplan–Meier estimates and Cox regression analyses. Results: The best-performing classifier predicted patient outcome with an accuracy of 0.95 (sensitivity, 0.93; specificity, 0.97) in the validation coh…

OncologyMaleCancer ResearchMultivariate statisticsmedicine.medical_specialtyKaplan-Meier EstimateBioinformaticsRisk AssessmentNeuroblastomaText miningRisk FactorsInternal medicineNeuroblastomamedicineBiomarkers TumorCluster AnalysisHumansbusiness.industryProportional hazards modelGene Expression ProfilingReproducibility of ResultsRegression analysismedicine.diseasePrognosisClinical trialGene expression profilingGene Expression Regulation NeoplasticOncologyRegression AnalysisFemalebusinessRisk assessmentFollow-Up StudiesClinical cancer research : an official journal of the American Association for Cancer Research
researchProduct