2018
Colorectal cancer molecular classification using BRAF, KRAS, microsatellite instability and CIMP status: Prognostic implications and response to chemotherapy
Murcia O, Juárez M, Rodríguez-Soler M, Hernández-Illán E, Giner-Calabuig M, Alustiza M, Egoavil C, Castillejo A, Alenda C, Barberá V, Mangas-Sanjuan C, Yuste A, Bujanda L, Clofent J, Andreu M, Castells A, Llor X, Zapater P, Jover R. Colorectal cancer molecular classification using BRAF, KRAS, microsatellite instability and CIMP status: Prognostic implications and response to chemotherapy. PLOS ONE 2018, 13: e0203051. PMID: 30188916, PMCID: PMC6126803, DOI: 10.1371/journal.pone.0203051.Peer-Reviewed Original ResearchConceptsDisease-free survivalColorectal cancerMicrosatellite instabilityCIMP statusTNM stageKRAS mutationsBRAF mutationsMSS tumorsMolecular classificationAdvanced stage IIRetrospective observational studyPopulation-based cohortCpG island methylator phenotype (CIMP) statusCancer molecular classificationSomatic KRASAdjuvant chemotherapyAdjuvant treatmentCRC patientsPrognostic implicationsWorse prognosisPrognostic valueClinical criteriaObservational studyMolecular subtypesMAIN OUTCOMEColorectal cancer molecular classification using BRAF, KRAS, microsatellite instability, and CIMP status: Prognostic implications and response to chemotherapy.
Murcia O, Juárez M, Hernández-Illán E, Rodriguez-Soler M, Giner-Calabuig M, Alustiza M, Egoavil C, Castillejo A, Alenda C, Mangas C, Barberá V, Yuste A, Bujanda L, Clofent J, Andreu M, Castells A, Llor X, Zapater P, Jover R. Colorectal cancer molecular classification using BRAF, KRAS, microsatellite instability, and CIMP status: Prognostic implications and response to chemotherapy. Journal Of Clinical Oncology 2018, 36: 668-668. DOI: 10.1200/jco.2018.36.4_suppl.668.Peer-Reviewed Original ResearchDisease-free survivalColorectal cancerMicrosatellite instabilityCIMP statusTNM stageKRAS mutationsBRAF mutationsMSS tumorsMolecular classificationAdvanced stage IIRetrospective observational studyPopulation-based cohortCpG island methylator phenotype (CIMP) statusCancer molecular classificationSomatic KRASAdjuvant chemotherapyAdjuvant treatmentCRC patientsWorse prognosisPrognostic implicationsPrognostic valueClinical criteriaObservational studyMolecular subtypesMAIN OUTCOME
2014
IGFBP3 Methylation Is a Novel Diagnostic and Predictive Biomarker in Colorectal Cancer
Perez-Carbonell L, Balaguer F, Toiyama Y, Egoavil C, Rojas E, Guarinos C, Andreu M, Llor X, Castells A, Jover R, Boland CR, Goel A. IGFBP3 Methylation Is a Novel Diagnostic and Predictive Biomarker in Colorectal Cancer. PLOS ONE 2014, 9: e104285. PMID: 25127039, PMCID: PMC4134211, DOI: 10.1371/journal.pone.0104285.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorColorectal NeoplasmsCpG IslandsDNA MethylationFemaleHumansInsulin-Like Growth Factor Binding Protein 3Intestinal MucosaMaleMicrosatellite InstabilityMicrosatellite RepeatsMiddle AgedMutationNeoplasm StagingPrognosisPromoter Regions, GeneticProto-Oncogene Proteins B-rafTreatment OutcomeConceptsCRC patientsColorectal cancerPredictive biomarkersStage IICRC cohortPoor disease-free survivalDisease-free survivalIndependent risk factorPopulation-based cohortPotential clinical significancePromising diagnostic biomarkerFree survivalRisk factorsColonic tumorsCRC-specific genesClinical significanceNormal mucosaCancer-related genesPatientsDiagnostic biomarkersTumor tissueBiomarkersCohortCancerHuman cancers
2013
Risk of Cancer in Cases of Suspected Lynch Syndrome Without Germline Mutation
Rodríguez–Soler M, Pérez–Carbonell L, Guarinos C, Zapater P, Castillejo A, Barberá VM, Juárez M, Bessa X, Xicola RM, Clofent J, Bujanda L, Balaguer F, Reñé J, de–Castro L, Marín–Gabriel J, Lanas A, Cubiella J, Nicolás–Pérez D, Brea–Fernández A, Castellví–Bel S, Alenda C, Ruiz–Ponte C, Carracedo A, Castells A, Andreu M, Llor X, Soto JL, Payá A, Jover R. Risk of Cancer in Cases of Suspected Lynch Syndrome Without Germline Mutation. Gastroenterology 2013, 144: 926-932.e1. PMID: 23354017, DOI: 10.1053/j.gastro.2013.01.044.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultAgedAged, 80 and overColorectal Neoplasms, Hereditary NonpolyposisDNA Mismatch RepairDNA RepairDNA, NeoplasmFemaleGerm-Line MutationHumansImmunohistochemistryIncidenceMaleMicrosatellite InstabilityMiddle AgedMutL Protein Homolog 1Nuclear ProteinsPopulation SurveillanceRisk FactorsSpainConceptsLynch-like syndromeSex-adjusted standardized incidence ratiosFamilies of patientsRisk of cancerIncidence of CRCLynch syndromePathogenic germline mutationsMicrosatellite instabilityGermline mutationsSporadic CRCStandardized incidence ratiosLoss of PMS2Population-based cohortMLH1 promoter hypermethylationLoss of MLH1Loss of MSH2Clinical characteristicsConsecutive patientsIncidence ratiosMSH6 expressionImmunohistochemical analysisPatientsMLH1 promoterSyndromeSurveillance strategies
2011
Comparison between universal molecular screening for Lynch syndrome and revised Bethesda guidelines in a large population-based cohort of patients with colorectal cancer
Pérez-Carbonell L, Ruiz-Ponte C, Guarinos C, Alenda C, Payá A, Brea A, Egoavil CM, Castillejo A, Barberá VM, Bessa X, Xicola RM, Rodríguez-Soler M, Sánchez-Fortún C, Acame N, Castellví-Bel S, Piñol V, Balaguer F, Bujanda L, De-Castro ML, Llor X, Andreu M, Carracedo A, Soto JL, Castells A, Jover R. Comparison between universal molecular screening for Lynch syndrome and revised Bethesda guidelines in a large population-based cohort of patients with colorectal cancer. Gut 2011, 61: 865. PMID: 21868491, DOI: 10.1136/gutjnl-2011-300041.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultAgedAged, 80 and overColorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisDNA MethylationDNA Mismatch RepairFemaleGenetic Carrier ScreeningGenetic TestingGerm-Line MutationHumansImmunohistochemistryMaleMicrosatellite InstabilityMiddle AgedMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsPractice Guidelines as TopicConceptsColorectal cancerLynch syndromeBethesda criteriaGenetic testingBethesda guidelinesMSH6 expressionLarge population-based cohortSelection of patientsPopulation-based cohortMMR proteinsMMR gene mutationsMMR protein expressionLoss of MLH1Microsatellite instability analysisGermline MLH1Routine molecular screeningLoss of expressionMutation carriersMSH2 stainingPatientsMSH2 mutationsLarge seriesMSI tumorsPMS2 expressionTumor tissueValidation Microsatellite Path Score in a Population-Based Cohort of Patients With Colorectal Cancer
Bessa X, Alenda C, Paya A, Álvarez C, Iglesias M, Seoane A, Dedeu JM, Abulí A, Ilzarbe L, Navarro G, Pellise M, Balaguer F, Castellvi-Bel S, LLor X, Castells A, Jover R, Andreu M. Validation Microsatellite Path Score in a Population-Based Cohort of Patients With Colorectal Cancer. Journal Of Clinical Oncology 2011, 29: 3374-3380. PMID: 21788563, DOI: 10.1200/jco.2010.34.3947.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdenocarcinomaAdenocarcinoma, MucinousAgedCarcinoma, MedullaryCarcinoma, Signet Ring CellCohort StudiesColorectal NeoplasmsDNA Mismatch RepairFemaleFollow-Up StudiesGerm-Line MutationHeterozygoteHumansMaleMicrosatellite InstabilityMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsPrognosisProspective StudiesProto-Oncogene Proteins B-rafSensitivity and SpecificitySpainConceptsPositive predictive valuePathologic featuresColorectal cancerLynch syndromeGermline MSH2 mutationMLH1/MSH2Cohort of patientsColorectal cancer populationSelection of patientsPopulation-based cohortBRAF mutation analysisMicrosatellite instability analysisHigher CRCGermline testingBethesda guidelinesTumor characteristicsPathological scoresTumor locationCancer populationMismatch repairMMR statusFamily historyMutation carriersPatientsMSH2 mutations
2010
5-Fluorouracil Adjuvant Chemotherapy Does Not Increase Survival in Patients With CpG Island Methylator Phenotype Colorectal Cancer
Jover R, Nguyen T, Pérez–Carbonell L, Zapater P, Payá A, Alenda C, Rojas E, Cubiella J, Balaguer F, Morillas JD, Clofent J, Bujanda L, Reñé JM, Bessa X, Xicola RM, Nicolás–Pérez D, Castells A, Andreu M, Llor X, Boland CR, Goel A. 5-Fluorouracil Adjuvant Chemotherapy Does Not Increase Survival in Patients With CpG Island Methylator Phenotype Colorectal Cancer. Gastroenterology 2010, 140: 1174-1181. PMID: 21185836, PMCID: PMC3073650, DOI: 10.1053/j.gastro.2010.12.035.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAntimetabolites, AntineoplasticChemotherapy, AdjuvantCohort StudiesColorectal NeoplasmsCpG IslandsDisease-Free SurvivalDNA MethylationFemaleFluorouracilFollow-Up StudiesHumansKaplan-Meier EstimateMaleMiddle AgedPhenotypePredictive Value of TestsPrognosisProportional Hazards ModelsConceptsCpG island methylator phenotypeCIMP-positive tumorsAdjuvant chemotherapyColorectal cancerCIMP statusColorectal tumorsIndependent predictorsStage IITNM stage IIDisease-free survivalOnly independent predictorPopulation-based cohortResponse of patientsMedian followChemotherapySurvival timePatientsMLH1 promoterMultivariate analysisTumorsAbstractTextMicrosatellite instabilityCIMP-negative tumorsDFSMethylator phenotypeSusceptibility Genetic Variants Associated With Colorectal Cancer Risk Correlate With Cancer Phenotype
Abulí A, Bessa X, González JR, Ruiz–Ponte C, Cáceres A, Muñoz J, Gonzalo V, Balaguer F, Fernández–Rozadilla C, González D, de Castro L, Clofent J, Bujanda L, Cubiella J, Reñé J, Morillas JD, Lanas Á, Rigau J, García A, Latorre M, Saló J, Bañares F, Argüello L, Peña E, Vilella À, Riestra S, Carreño R, Paya A, Alenda C, Xicola RM, Doyle BJ, Jover R, Llor X, Carracedo A, Castells A, Castellví–Bel S, Andreu M, Association G. Susceptibility Genetic Variants Associated With Colorectal Cancer Risk Correlate With Cancer Phenotype. Gastroenterology 2010, 139: 788-796.e6. PMID: 20638935, DOI: 10.1053/j.gastro.2010.05.072.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCell DifferentiationChromosomes, Human, Pair 16Chromosomes, Human, Pair 8Colorectal NeoplasmsFemaleGene Expression Regulation, NeoplasticGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHumansLogistic ModelsMaleMiddle AgedNeoplasm StagingOdds RatioPedigreePhenotypePolymorphism, Single NucleotideProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsSpainConceptsCRC phenotypeColorectal cancer riskPopulation-based cohortAdvanced stage tumorsCancer phenotypeGenetic variantsCRC managementSpanish cohortColorectal adenomasCancer riskFamilial historyG allelePatientsC alleleGenetic Variants AssociatedPrevention programsSurveillance strategiesAbstractTextLogistic regressionRisk correlatesCRCAIMSReplication setCohortVariants Associated
2008
Comparison of predictive models, clinical criteria and molecular tumour screening for the identification of patients with Lynch syndrome in a population-based cohort of colorectal cancer patients
Balmaña J, Balaguer F, Castellví-Bel S, Steyerberg EW, Andreu M, Llor X, Jover R, Castells A, Syngal S, Association F. Comparison of predictive models, clinical criteria and molecular tumour screening for the identification of patients with Lynch syndrome in a population-based cohort of colorectal cancer patients. Journal Of Medical Genetics 2008, 45: 557. PMID: 18603628, DOI: 10.1136/jmg.2008.059311.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultAgedAged, 80 and overCohort StudiesColorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisDNA Mutational AnalysisFemaleGenetic Carrier ScreeningGenetic TestingHeterozygoteHumansMaleMiddle AgedModels, GeneticMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsConceptsMLH1/MSH2 mutation carriersPositive predictive valueMSH2 mutation carriersMutation carriersMMR deficiencyClinical criteriaMismatch repair gene mutationsAmsterdam II criteriaColorectal cancer patientsIdentification of patientsPopulation-based cohortOverall discriminative abilityColorectal cancer cohortRepair gene mutationsGermline testingCRC patientsBethesda guidelinesCancer patientsLynch syndromeCancer cohortPredictive scorePredictive valueSimilar AUCMicrosatellite instabilityObserved prevalence
2007
Validation and Extension of the PREMM1,2 Model in a Population-Based Cohort of Colorectal Cancer Patients
Balaguer F, Balmaña J, Castellví–Bel S, Steyerberg EW, Andreu M, Llor X, Jover R, Syngal S, Castells A, Association G. Validation and Extension of the PREMM1,2 Model in a Population-Based Cohort of Colorectal Cancer Patients. Gastroenterology 2007, 134: 39-46. PMID: 18061181, PMCID: PMC2542581, DOI: 10.1053/j.gastro.2007.10.042.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAgedAged, 80 and overCohort StudiesColorectal NeoplasmsDNA Mismatch RepairFemaleGenetic Carrier ScreeningGerm-Line MutationHumansLogistic ModelsMaleMiddle AgedMutL Protein Homolog 1MutL ProteinsNeoplasm ProteinsNuclear ProteinsPredictive Value of TestsReproducibility of ResultsSpainConceptsPositive predictive valueColorectal cancer patientsMMR testingGermline testingCancer patientsMLH1/MSH2 mutation carriersUnselected colorectal cancer patientsMSH2 mutation carriersColorectal cancer populationPopulation-based cohortColorectal cancer casesRecognition of patientsBRAF V600E mutationBRAF V600E mutation analysisMicrosatellite instability analysisCancer populationMismatch repairLynch syndromeCancer casesMutation carriersPredictive valueV600E mutationMMR deficiencyPatientsAbstractText