2021
Phenotypic Differences in Juvenile Polyposis Syndrome With or Without a Disease-causing SMAD4/BMPR1A Variant
MacFarland SP, Ebrahimzadeh JE, Zelley K, Begum L, Bass LM, Brand RE, Dudley B, Fishman DS, Ganzak A, Karloski E, Latham A, Llor X, Plon S, Riordan MK, Scollon SR, Stadler ZK, Syngal S, Ukaegbu C, Weiss JM, Yurgelun MB, Brodeur GM, Mamula P, Katona BW. Phenotypic Differences in Juvenile Polyposis Syndrome With or Without a Disease-causing SMAD4/BMPR1A Variant. Cancer Prevention Research 2021, 14: 215-222. PMID: 33097490, PMCID: PMC8557953, DOI: 10.1158/1940-6207.capr-20-0348.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedBone Morphogenetic Protein Receptors, Type IChildChild, PreschoolColectomyColonoscopyFemaleFollow-Up StudiesGerm-Line MutationHumansIntestinal PolyposisMaleMedical History TakingMiddle AgedNeoplastic Syndromes, HereditaryPractice Guidelines as TopicPrecision MedicineSmad4 ProteinWatchful WaitingYoung AdultConceptsJuvenile polyposis syndromePolyposis syndromeFamily historyDisease-causing variantsCancer riskGermline disease-causing variantsGastrointestinal cancer predisposition syndromesUpper gastrointestinal polypsHamartomatous polyposis syndromesCancer predisposition syndromeLifelong surveillanceAdult centersDuodenal polypsGastrointestinal cancerCancer historySubgroup analysisIndividualized managementLower riskGastrointestinal polypsPredisposition syndromeSyndromeYounger ageDistinct phenotypic differencesLower likelihoodGastrectomy
2019
Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data
Nartowt BJ, Hart GR, Roffman DA, Llor X, Ali I, Muhammad W, Liang Y, Deng J. Scoring colorectal cancer risk with an artificial neural network based on self-reportable personal health data. PLOS ONE 2019, 14: e0221421. PMID: 31437221, PMCID: PMC6705772, DOI: 10.1371/journal.pone.0221421.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveyUnited States Preventative Services Task ForceColorectal cancerPredictive valueDiagnosis of CRCColorectal cancer riskHealth Interview SurveyHigh-risk categoryNegative predictive valuePositive predictive valueMultivariable prediction modelHealth dataUSPSTF guidelinesRisk score methodCRC riskFamily historyCancer riskHigh riskAge 50Individual prognosisLower riskPersonal health dataClinical applicabilityInterview SurveyCancer
2015
Mutation Spectrum and Risk of Colorectal Cancer in African American Families with Lynch Syndrome
Santa Cruz Guindalini R, Win AK, Gulden C, Lindor NM, Newcomb PA, Haile RW, Raymond V, Stoffel E, Hall M, Llor X, Ukaegbu CI, Solomon I, Weitzel J, Kalady M, Blanco A, Terdiman J, Shuttlesworth GA, Lynch PM, Hampel H, Lynch HT, Jenkins MA, Olopade OI, Kupfer SS. Mutation Spectrum and Risk of Colorectal Cancer in African American Families with Lynch Syndrome. Gastroenterology 2015, 149: 1446-1453. PMID: 26248088, PMCID: PMC4648287, DOI: 10.1053/j.gastro.2015.07.052.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdenosine TriphosphatasesAdultAge FactorsAgedAged, 80 and overBlack or African AmericanColorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisDNA Mismatch RepairDNA Repair EnzymesDNA-Binding ProteinsFamilyFemaleHumansIncidenceMaleMiddle AgedMismatch Repair Endonuclease PMS2MutationMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsRetrospective StudiesRisk FactorsSex FactorsConceptsColorectal cancerLynch syndromeCumulative riskRisk of CRCUS referral centersMMR gene mutationsMutation spectrumNongenetic risk factorsYears of ageMismatch repair genesMMR gene productsMutation-carrying familiesReferral centerRetrospective studyCRC riskRisk factorsFamily historyCancer riskHigh incidenceCRC conditionsSyndromeAbstractTextMMR genesAscertainment criteriaCancer
2014
The MLH1 c.1852_1853delinsGC (p.K618A) Variant in Colorectal Cancer: Genetic Association Study in 18,723 Individuals
Abulí A, Bujanda L, Muñoz J, Buch S, Schafmayer C, Valeria Maiorana M, Veneroni S, van Wezel T, Liu T, Westers H, Esteban-Jurado C, Ocaña T, Piqué JM, Andreu M, Jover R, Carracedo A, Xicola RM, Llor X, Castells A, , Dunlop M, Hofstra R, Lindblom A, Wijnen J, Peterlongo P, Hampe J, Ruiz-Ponte C, Castellví-Bel S. The MLH1 c.1852_1853delinsGC (p.K618A) Variant in Colorectal Cancer: Genetic Association Study in 18,723 Individuals. PLOS ONE 2014, 9: e95022. PMID: 24743384, PMCID: PMC3990597, DOI: 10.1371/journal.pone.0095022.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdenosine TriphosphatasesAmino Acid SubstitutionCohort StudiesColorectal NeoplasmsDNA Repair EnzymesDNA-Binding ProteinsFemaleGenetic Association StudiesGerm-Line MutationHumansINDEL MutationMaleMismatch Repair Endonuclease PMS2Mutation, MissenseMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsConceptsColorectal cancerPathological characteristicsLynch syndromeCase-control studyLynch syndrome tumorsFamilial adenomatous polyposisDefective DNA mismatch repairGenotype-phenotype correlationFrequent neoplasmLow-penetrance variantsFamily historyLarge cohortImportant causeAdenomatous polyposisTotal burdenGenetic susceptibilityGermline mutationsUncertain significancePathogenic consequencesSyndromeMLH1 geneCommon formDNA mismatch repairMendelian syndromesRisk variants
2012
Susceptibility genetic variants associated with early-onset colorectal cancer
Giráldez MD, López-Dóriga A, Bujanda L, Abulí A, Bessa X, Fernández-Rozadilla C, Muñoz J, Cuatrecasas M, Jover R, Xicola RM, Llor X, Piqué JM, Carracedo A, Ruiz-Ponte C, Cosme A, Enríquez-Navascués JM, Moreno V, Andreu M, Castells A, Balaguer F, Castellví-Bel S, Association T. Susceptibility genetic variants associated with early-onset colorectal cancer. Carcinogenesis 2012, 33: 613-619. PMID: 22235025, DOI: 10.1093/carcin/bgs009.Peer-Reviewed Original ResearchConceptsEarly-onset colorectal cancerColorectal cancerFamily historyCRC susceptibility variantsRisk allelesCRC family historyLynch syndrome spectrumHigh-risk groupEarly-onset casesRisk allele carriersCRC burdenGenotype-phenotype correlationCRC groupEntire cohortCommon cancerPathological characteristicsAllele carriersHereditary predispositionSusceptibility variantsGenetic susceptibility lociSurveillance strategiesHereditary formsSyndrome spectrumPatientsCancer
2011
Validation 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
2007
A Prospective, Multicenter, Population-Based Study of BRAF Mutational Analysis for Lynch Syndrome Screening
Bessa X, Ballesté B, Andreu M, Castells A, Bellosillo B, Balaguer F, Castellví–bel S, Paya A, Jover R, Alenda C, Titó L, Martinez–Villacampa M, Vilella A, Xicola RM, Pons E, Llor X, Association G. A Prospective, Multicenter, Population-Based Study of BRAF Mutational Analysis for Lynch Syndrome Screening. Clinical Gastroenterology And Hepatology 2007, 6: 206-214. PMID: 18096441, DOI: 10.1016/j.cgh.2007.10.011.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAgedAged, 80 and overAmino Acid SubstitutionColorectal Neoplasms, Hereditary NonpolyposisFemaleGenetic Predisposition to DiseaseGenetic TestingGerm-Line MutationHumansMaleMiddle AgedMutL Protein Homolog 1MutL ProteinsNeoplasm ProteinsNuclear ProteinsPolymorphism, GeneticProspective StudiesProto-Oncogene Proteins B-rafConceptsSporadic colorectal cancerColorectal cancerCRC patientsMMR deficiencyBRAF mutationsV600E mutationGenetic testingGermline mutationsHereditary nonpolyposis colorectal cancerLynch syndrome screeningGermline genetic testingMLH1 germline mutationsPopulation-based studyGene mutation carriersMMR genes MLH1Nonpolyposis colorectal cancerBRAF V600E mutationBRAF mutational analysisMLH1 promoter methylationBRAF mutation analysisBRAF V600E mutation analysisMutation analysisBRAF analysisLynch syndromeFamily historyDetection of Metachronous Neoplasms in Colorectal Cancer Patients: Identification of Risk Factors
Ballesté B, Bessa X, Piñol V, CastellvíBel S, Castells A, Alenda C, Paya A, Jover R, Xicola RM, Pons E, Llor X, Cordero C, FernandezBañares F, de Castro L, Reñé JM, Andreu M. Detection of Metachronous Neoplasms in Colorectal Cancer Patients: Identification of Risk Factors. Diseases Of The Colon & Rectum 2007, 50: 971-980. PMID: 17468913, DOI: 10.1007/s10350-007-0237-2.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAgedColonoscopyColorectal NeoplasmsConfidence IntervalsDNA RepairDNA, NeoplasmFemaleFollow-Up StudiesGenetic Predisposition to DiseaseHumansImmunohistochemistryIncidenceMaleMicrosatellite InstabilityMutL Protein Homolog 1MutS Homolog 2 ProteinNeoplasms, Second PrimaryNuclear ProteinsOdds RatioPrognosisProspective StudiesSpainTime FactorsConceptsMetachronous colorectal neoplasmsMetachronous neoplasmsColorectal cancerSynchronous adenomasPredictive factorsColorectal neoplasmsGeneral population-based studyPrevious colorectal cancerIndependent predictive factorsColorectal cancer patientsInflammatory bowel diseasePresence of adenomasSubgroup of patientsPopulation-based studySynchronous colorectal adenomasSpecific surveillance strategiesFamilial adenomatous polyposisDNA microsatellite instabilityBowel diseaseCancer patientsRisk factorsColorectal adenomasSpanish hospitalsFamily historyHigh risk
2005
Differential Features of Colorectal Cancers Fulfilling Amsterdam Criteria without Involvement of the Mutator Pathway
Llor X, Pons E, Xicola RM, Castells A, Alenda C, Piñol V, Andreu M, Castellví-Bel S, Payá A, Jover R, Bessa X, Girós A, Roca A, Gassull MA, Association F. Differential Features of Colorectal Cancers Fulfilling Amsterdam Criteria without Involvement of the Mutator Pathway. Clinical Cancer Research 2005, 11: 7304-7310. PMID: 16243801, DOI: 10.1158/1078-0432.ccr-05-0965.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAgedAged, 80 and overCarrier ProteinsCohort StudiesColorectal NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisDNA Mutational AnalysisDNA-Binding ProteinsFemaleGerm-Line MutationHumansImmunohistochemistryMaleMicrosatellite RepeatsMiddle AgedMutationMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsProspective StudiesSpainConceptsHereditary nonpolyposis colorectal cancerHNPCC patientsAmsterdam criteriaColorectal cancerPathway alterationsMicrosatellite instabilityMetachronous adenomatous polypsLeft-sided tumorsMismatch repair gene mutationsAmsterdam II criteriaColorectal cancer patientsNonpolyposis colorectal cancerRepair gene mutationsMismatch repair deficiencyDetailed family historyMMR alterationsEndometrial cancerLymphocytic infiltratePathologic dataCancer patientsFamily historyAdenomatous polypsHNPCC familiesPatientsTumor DNAAccuracy of Revised Bethesda Guidelines, Microsatellite Instability, and Immunohistochemistry for the Identification of Patients With Hereditary Nonpolyposis Colorectal Cancer
Piñol V, Castells A, Andreu M, Castellví-Bel S, Alenda C, Llor X, Xicola RM, Rodríguez-Moranta F, Payá A, Jover R, Bessa X, Association F. Accuracy of Revised Bethesda Guidelines, Microsatellite Instability, and Immunohistochemistry for the Identification of Patients With Hereditary Nonpolyposis Colorectal Cancer. JAMA 2005, 293: 1986-1994. PMID: 15855432, DOI: 10.1001/jama.293.16.1986.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAgedCarrier ProteinsChromosomal InstabilityColorectal Neoplasms, Hereditary NonpolyposisCost-Benefit AnalysisDNA Mutational AnalysisDNA-Binding ProteinsFemaleGenetic Carrier ScreeningGenetic TestingGerm-Line MutationGuidelines as TopicHeterozygoteHumansImmunohistochemistryMaleMicrosatellite RepeatsMiddle AgedMutL Protein Homolog 1MutS Homolog 2 ProteinNeoplasm ProteinsNuclear ProteinsPredictive Value of TestsProspective StudiesProto-Oncogene ProteinsSensitivity and SpecificitySpainConceptsMicrosatellite instability testingBethesda guidelinesMLH1 germline mutationsInstability testingMicrosatellite instabilityGermline testingColorectal cancerGermline mutationsHereditary nonpolyposis colorectal cancerRevised Bethesda GuidelinesProtein expressionIdentification of patientsLogistic regression analysisNonpolyposis colorectal cancerMismatch repair deficiencyNational Cancer InstituteCancer genetic testingTumor characteristicsClinical parametersFamily historyNationwide studyIdentification of individualsCancer InstitutePatientsGenetic testing