2019
DNA Damage Response Pathway Alteration in Locally Advanced Clear-Cell Renal-Cell Carcinoma Is Associated With a Poor Outcome
Na J, Nagaya N, Rha K, Han W, Kim I. DNA Damage Response Pathway Alteration in Locally Advanced Clear-Cell Renal-Cell Carcinoma Is Associated With a Poor Outcome. Clinical Genitourinary Cancer 2019, 17: 299-305.e1. PMID: 31204211, DOI: 10.1016/j.clgc.2019.05.004.Peer-Reviewed Original ResearchConceptsClear cell renal cell carcinomaDisease-free survivalAdvanced clear cell renal cell carcinomaDDR pathway alterationPathway alterationsLocalized Clear Cell Renal Cell CarcinomaDecreased disease-free survivalTCGA databaseShorter disease-free survivalCopy number alterationsTherapeutic agentsCox regression analysisT3-4 diseaseClear-Cell RenalRenal cell carcinomaDDR pathwaysPresence of mutationsT3a diseaseNeoadjuvant therapyOverall survivalPoor outcomeCell carcinomaCommon subtypeDisease progressionKidney cancerUrinary Cell-Free DNA IQGAP3/BMP4 Ratio as a Prognostic Marker for Non–Muscle-Invasive Bladder Cancer
Xu Y, Kim Y, Jeong P, Piao X, Byun Y, Seo S, Kang H, Kim W, Lee J, Ryu D, Choi J, Kim I, Moon S, Choi Y, Yun S, Kim W. Urinary Cell-Free DNA IQGAP3/BMP4 Ratio as a Prognostic Marker for Non–Muscle-Invasive Bladder Cancer. Clinical Genitourinary Cancer 2019, 17: e704-e711. PMID: 31088707, DOI: 10.1016/j.clgc.2019.04.001.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBiomarkers, TumorBone Morphogenetic Protein 4Cell-Free Nucleic AcidsDisease ProgressionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, Tumor SuppressorGTPase-Activating ProteinsHumansMaleMiddle AgedNuclear ProteinsPrognosisSurvival AnalysisUrinary Bladder NeoplasmsConceptsProgression-free survivalCox regression analysisRecurrence-free survivalDisease recurrenceBladder cancerNon-muscle invasive bladder cancerInvasive bladder cancer patientsWorse progression-free survivalMultivariate Cox regression analysisWorse recurrence-free survivalKaplan-Meier analysisKaplan-Meier curvesBladder cancer patientsRegression analysisUrinary cell-free DNAValuable novel biomarkersCell-free DNANMIBC patientsClinical outcomesCancer patientsDisease progressionPrognostic markerReal-time PCRNovel biomarkersIndependent factors
2018
Results of Phase 1 study on cytoreductive radical prostatectomy in men with newly diagnosed metastatic prostate cancer
Yuh B, Kwon Y, Shinder B, Singer E, Jang T, Kim S, Stein M, Mayer T, Ferrari A, Lee N, Parikh R, Ruel N, Kim W, Horie S, Byun S, Ahlering T, Kim I. Results of Phase 1 study on cytoreductive radical prostatectomy in men with newly diagnosed metastatic prostate cancer. Prostate International 2018, 7: 102-107. PMID: 31485434, PMCID: PMC6713798, DOI: 10.1016/j.prnil.2018.10.002.Peer-Reviewed Original ResearchMetastatic prostate cancerCytoreductive radical prostatectomyPhase 1 studyProstate-specific antigenRadical prostatectomyCytoreductive surgeryProstate cancerSpecific antigenDeath 5 monthsAcute tubular necrosisMajor perioperative complicationsOverall complication rateRapid disease progressionDay of surgerySubset of menPerioperative complicationsPrimary endpointTemporary dialysisComplication rateDisseminated diseaseTubular necrosisMajor complicationsMean ageClinical trialsDisease progression
2017
Risk stratification for disease progression in pT3 prostate cancer after robot-assisted radical prostatectomy
Hong J, Kwon Y, Kim I. Risk stratification for disease progression in pT3 prostate cancer after robot-assisted radical prostatectomy. Asian Journal Of Andrology 2017, 19: 700-706. PMID: 28230003, PMCID: PMC5676431, DOI: 10.4103/1008-682x.193569.Peer-Reviewed Original ResearchConceptsAdjuvant radiation therapyPT3 prostate cancerRobot-assisted radical prostatectomyPathologic Gleason scoreBiochemical recurrenceRadical prostatectomyClinical progressionProstate cancerLymphovascular invasionRisk stratificationRisk factorsDisease progressionMultivariate Cox proportional regression analysisCox proportional regression analysisAdverse pathologic featuresProportional regression analysisRisk stratification toolMore risk factorsStage pT3bFree survivalOncologic outcomesPathologic featuresStratification toolGleason scoreOptimal patient
2016
Personalized Medicine Approaches in Prostate Cancer Employing Patient Derived 3D Organoids and Humanized Mice
Bartucci M, Ferrari A, Kim I, Ploss A, Yarmush M, Sabaawy H. Personalized Medicine Approaches in Prostate Cancer Employing Patient Derived 3D Organoids and Humanized Mice. Frontiers In Cell And Developmental Biology 2016, 4: 64. PMID: 27446916, PMCID: PMC4917534, DOI: 10.3389/fcell.2016.00064.Peer-Reviewed Original ResearchProstate cancerTumor initiating cellsHuman immune systemHumanized miceTherapeutic responsePersonalized therapeutic responseAdaptive T cellsPrimary prostate cancerPatient-derived organoidsPersonalized medicine approachPCa microenvironmentSelective engraftmentImmunotherapy approachesCommon malignancyCancer deathSpecific therapyImmune cellsDisease progressionCancer precision medicineCommon causeT cellsChimeric antigenPatient-specific therapiesMouse modelTherapy resistanceChapter 57 Second-Line Hormonal for Castrate-Resistant Prostate Cancer
Parihar J, Kim I. Chapter 57 Second-Line Hormonal for Castrate-Resistant Prostate Cancer. 2016, 533-540. DOI: 10.1016/b978-0-12-800077-9.00057-8.Peer-Reviewed Original ResearchCastrate-resistant prostate cancerProstate cancerHormonal manipulationHormone-sensitive prostate cancerSecond-line hormonal manipulationsSecond-line hormonal therapySecond-line treatment optionAssociated response ratesInitial systemic therapySecondary hormonal manipulationsSecond-generation antiandrogensFirst-generation antiandrogensAntiandrogen withdrawalARN-509Hormonal therapyMainstay treatmentAbiraterone acetateAndrogen suppressionSystemic therapyAndrogen deprivationSuch patientsTreatment optionsTherapeutic responseDisease progressionResponse rate
2015
Pharmacokinetics, pharmacodynamics and clinical efficacy of abiraterone acetate for treating metastatic castration-resistant prostate cancer
Han C, Patel R, Kim I. Pharmacokinetics, pharmacodynamics and clinical efficacy of abiraterone acetate for treating metastatic castration-resistant prostate cancer. Expert Opinion On Drug Metabolism & Toxicology 2015, 11: 967-975. PMID: 25936418, DOI: 10.1517/17425255.2015.1041918.Peer-Reviewed Original ResearchConceptsCastration-resistant prostate cancerMetastatic castration-resistant prostate cancerAbiraterone acetateMetastatic CRPCProstate cancerPhase III trialsBetter patient selectionHigh-level evidenceRisk of hypertensionDrug resistance patternsCurrent clinical challengesIntratumoral androgensOverall tolerabilityIII trialsPatient selectionClinical efficacySafety profileDevelopment of resistanceTreatment modalitiesDisease progressionTargeted therapyAndrogen sourceClinical challengeAndrogen signalingCYP 17
2013
1865 S100A9 AND EGFR GENE SIGNATURES PREDICT DISEASE PROGRESSION IN BLADDER CANCER PATIENTS AFTER CHEMOTHERAPY
Kim W, Yun S, Kim Y, Kim T, Seo J, Cho I, Ha Y, Kim I, Lee S, Kim W. 1865 S100A9 AND EGFR GENE SIGNATURES PREDICT DISEASE PROGRESSION IN BLADDER CANCER PATIENTS AFTER CHEMOTHERAPY. Journal Of Urology 2013, 189: e764-e765. DOI: 10.1016/j.juro.2013.02.2284.Peer-Reviewed Original Research
2011
RUNX3 methylation as a predictor for disease progression in patients with non‐muscle‐invasive bladder cancer
Yan C, Kim Y, Ha Y, Kim I, Kim Y, Yun S, Moon S, Bae S, Kim W. RUNX3 methylation as a predictor for disease progression in patients with non‐muscle‐invasive bladder cancer. Journal Of Surgical Oncology 2011, 105: 425-430. PMID: 22311819, DOI: 10.1002/jso.22087.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCarcinoma in SituCarcinoma, Transitional CellChildCore Binding Factor Alpha 3 SubunitDisease ProgressionDNA MethylationDNA, NeoplasmFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMaleMiddle AgedNeoplasm GradingNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingPolymerase Chain ReactionPrognosisPromoter Regions, GeneticSurvival RateUrinary Bladder NeoplasmsYoung AdultConceptsDisease progressionRUNX3 methylation statusRUNX3 methylationTumor stageBladder cancerTumor gradeNMIBC progressionInvasive bladder cancer patientsWorse progression-free survivalProgression-free survivalInvasive bladder cancerPoor clinical outcomeKaplan-Meier estimatesBladder cancer patientsMethylation statusNumber of tumorsHypermethylation of RUNX3Methylation-specific polymerase chain reactionNMIBC samplesAdvanced diseaseClinical outcomesClinicopathological characteristicsIndependent predictorsCancer patientsG3 tumorsThree-gene signature predicts disease progression of non-muscle invasive bladder cancer.
Jeong P, Ha Y, Cho I, Yun S, Yoo E, Kim I, Choi Y, Moon S, Kim W. Three-gene signature predicts disease progression of non-muscle invasive bladder cancer. Oncology Letters 2011, 2: 679-684. PMID: 22848249, PMCID: PMC3406413, DOI: 10.3892/ol.2011.309.Peer-Reviewed Original ResearchNon-muscle invasive bladder cancerThree-gene signatureInvasive bladder cancerBladder cancerProgression of NMIBCThree-gene risk signatureMultivariate Cox regression modelMultivariate Cox regression analysisHigh-risk signaturePrevious study populationCox regression analysisKaplan-Meier methodCox regression modelKaplan-Meier estimatesBladder tumor progressionIndependent predictorsPrognostic valueDisease progressionTreatment outcomesClinical gradeRisk signatureStudy populationRisk scoreNew casesTumor progressionA Four-Gene Signature Predicts Disease Progression in Muscle Invasive Bladder Cancer
Kim W, Kim S, Jeong P, Yun S, Cho I, Kim I, Moon S, Um H, Choi Y. A Four-Gene Signature Predicts Disease Progression in Muscle Invasive Bladder Cancer. Molecular Medicine 2011, 17: 478-485. PMID: 21308147, PMCID: PMC3105150, DOI: 10.2119/molmed.2010.00274.Peer-Reviewed Original ResearchConceptsMuscle-invasive bladder cancerFour-gene signatureInvasive bladder cancerDisease progressionMIBC patientsMIBC progressionBladder cancerIndependent cohortMultivariate Cox regression analysisCox regression analysisReal-time reverse transcriptase-polymerase chain reactionReverse transcriptase-polymerase chain reactionTranscriptase-polymerase chain reactionGene expression signaturesIndependent predictorsPatient survivalPrognostic valuePromising diagnostic toolPolymerase chain reactionHigh riskPredictive valueMicroarray gene expression profilingImportant mediatorPatientsGene expression profiling
2001
Predictive value of expression of transforming growth factor‐β1 and its receptors in transitional cell carcinoma of the urinary bladder
Kim J, Shariat S, Kim I, Menesses‐Diaz A, Tokunaga H, Wheeler T, Lerner S. Predictive value of expression of transforming growth factor‐β1 and its receptors in transitional cell carcinoma of the urinary bladder. Cancer 2001, 92: 1475-1483. PMID: 11745225, DOI: 10.1002/1097-0142(20010915)92:6<1475::aid-cncr1472>3.0.co;2-x.Peer-Reviewed Original ResearchConceptsTransitional cell carcinomaBladder transitional cell carcinomaInvasive tumor stageOverexpression of TGFDisease progressionIndependent predictorsCell carcinomaTumor stageLoss of expressionTGF betaGrowth factorDisease-specific survivalAltered expressionExpression of TGFGrowth factor-β1Lymphovascular invasionRadical cystectomySpecific survivalClinical outcomesCystectomy specimensUrinary bladderImmunohistochemical stainingBlinded fashionFactor-β1Predictive value
1998
Loss of expression of transforming growth factor-beta receptors is associated with poor prognosis in prostate cancer patients.
Kim I, Ahn H, Lang S, Oefelein M, Oyasu R, Kozlowski J, Lee C. Loss of expression of transforming growth factor-beta receptors is associated with poor prognosis in prostate cancer patients. Clinical Cancer Research 1998, 4: 1625-30. PMID: 9676836.Peer-Reviewed Original ResearchConceptsHuman prostate cancer tissuesClinical tumor stageProstate cancer patientsProstate cancer tissuesGleason scoreLoss of expressionTGF-betaRIRecurrence rateTumor stageCancer patientsRadical prostatectomyCancer tissuesSurvival rateSignificant associationPotential prognostic valuePotential prognostic markerReceptor type IGrowth factor betaGrowth factor beta receptorTGF-beta receptorsInitial diagnosisPoor prognosisPrognostic valueDisease progressionPrognostic marker