2019
Recurrence risk evaluation in T1N1M0/T2N0M0/T3N0M0 gastric cancer with TP53 codon 72 polymorphisms
Ohmori Y, Nomura T, Fukushima N, Takahashi F, Iwaya T, Koeda K, Nishizuka S, Consortium M. Recurrence risk evaluation in T1N1M0/T2N0M0/T3N0M0 gastric cancer with TP53 codon 72 polymorphisms. Journal Of Surgical Oncology 2019, 120: 1154-1161. PMID: 31578743, DOI: 10.1002/jso.25718.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAdultAgedAged, 80 and overCodonFemaleFollow-Up StudiesGastrectomyGenetic Predisposition to DiseaseGenotypeHumansIncidenceJapanMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingPolymorphism, Single NucleotideRisk AssessmentStomach NeoplasmsSurvival RateTumor Suppressor Protein p53ConceptsRelapse-free survivalTP53 codon 72 polymorphismArg/ArgCodon 72 polymorphismGastric cancerOverall survivalHazard ratioHigh-risk patient groupsPostoperative adjuvant chemotherapyRecurrence risk evaluationArg/ProPro/Pro groupAdjuvant chemotherapyT3N0M0 patientsCurative intentStudy cohortPatient groupPro polymorphismEntire observation periodPolymorphism statusPRO groupPatientsArg/CancerPro/
2013
Evaluation of chemosensitivity prediction using quantitative dose–response curve classification for highly advanced/relapsed gastric cancer
Matsuo T, Nishizuka SS, Ishida K, Endo F, Katagiri H, Kume K, Ikeda M, Koeda K, Wakabayashi G. Evaluation of chemosensitivity prediction using quantitative dose–response curve classification for highly advanced/relapsed gastric cancer. World Journal Of Surgical Oncology 2013, 11: 11. PMID: 23339659, PMCID: PMC3562164, DOI: 10.1186/1477-7819-11-11.Peer-Reviewed Original ResearchConceptsDose-response curveChemosensitivity testGastric cancerResistant cancer cell populationsStandard chemotherapy regimensPeak plasma concentrationDose-response patternDrug dose-response curvesPrimary chemotherapyChemotherapy regimensRecurrent diseaseStandard chemotherapyResultsA totalChemosensitivity evaluationPlasma concentrationsChemosensitivity patternsChemoresistant tumorsResistant patternChemotherapyDrug resistanceDrug sensitivityCancer cell populationsConclusionsThese resultsCisplatinCell populations
2012
Molecular Marker Identification for Relapse Prediction in 5-FU-Based Adjuvant Chemotherapy in Gastric and Colorectal Cancers
Ishida K, Nishizuka SS, Chiba T, Ikeda M, Kume K, Endo F, Katagiri H, Matsuo T, Noda H, Iwaya T, Yamada N, Fujiwara H, Takahashi M, Itabashi T, Uesugi N, Maesawa C, Tamura G, Sugai T, Otsuka K, Koeda K, Wakabayashi G. Molecular Marker Identification for Relapse Prediction in 5-FU-Based Adjuvant Chemotherapy in Gastric and Colorectal Cancers. PLOS ONE 2012, 7: e43236. PMID: 22905237, PMCID: PMC3419205, DOI: 10.1371/journal.pone.0043236.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntimetabolites, AntineoplasticBiomarkers, TumorCell Line, TumorChemotherapy, AdjuvantCluster AnalysisColorectal NeoplasmsFluorouracilGene Expression Regulation, NeoplasticHumansImmunohistochemistryMAP Kinase Kinase 4Middle AgedPrognosisRecurrenceRNA, Small InterferingStomach NeoplasmsConceptsAdjuvant chemotherapyNF-κBCancer patientsTissue microarrayProtein expressionColorectal cancer patientsOverall survival rateGastrointestinal tract cancerGastric cancer patientsGastric cancer cell linesCell linesCancer cell linesJNK protein expressionR0 resectionTract cancerColorectal cancerImmunohistochemical examinationClinical significanceSurvival rateRelapse predictionBaseline expressionChemotherapyChemosensitivity markerPatientsGastric