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1、BreastCancerResTreat(2012)134:661–670DOI10.1007/s10549-012-2109-2PRECLINICALSTUDYPredictionsofthepathologicalresponsetoneoadjuvantchemotherapyinpatientswithprimarybreastcancerusingadataminingtechniqueM.Takada•M.Sugimoto•S.Ohno•K.Kuroi•N.Sato•H.Bando•N.Masuda•H.Iwata•M.Kondo•H.Sasano•L.W.C.Chow•T
2、.Inamoto•Y.Naito•M.Tomita•M.ToiReceived:21March2012/Accepted:22May2012/Publishedonline:12June2012ÓSpringerScience+BusinessMedia,LLC.2012AbstractNomogram,astandardtechniquethatutilizeswithNAC(n=150),andvalidatedusinganindependentmultiplecharacteristicstopredictefficacyoftreatmentanddatasetfromaran
3、domizedcontrolledtrial(n=173).Thelikelihoodofaspecificstatusofanindividualpatient,hasmodelselected15variablestopredictthepCRwithbeenusedforpredictionofresponsetoneoadjuvantche-yieldingareaunderthereceiveroperatingcharacteristicsmotherapy(NAC)inbreastcancerpatients.Theaimofthiscurve(AUC)valuesof0.
4、766[95%confidenceintervalstudywastodevelopanovelcomputationaltechniqueto(CI)],0.671–0.861,Pvalue .0001)incross-validationpredictthepathologicalcompleteresponse(pCR)toNACusingtrainingdatasetand0.787(95%CI0.716–0.858,inprimarybreastcancerpatients.AmathematicalmodelPvalue .0001)inthevalidationdata
5、set.Amongthreeusingalternatingdecisiontrees,anepigoneofdecisionsubtypesofbreastcancer,theluminalsubgroupshowedthetree,wasdevelopedusing28clinicopathologicalvariablesbestdiscrimination(AUC=0.779,95%CI0.641–0.917,thatwereretrospectivelycollectedfrompatientstreatedPvalue=0.0059).Thedevelopedmodel(A
6、UC=0.805,95%CI0.716–0.894,Pvalue .0001)outperformedmultivariatelogisticregression(AUC=0.754,95%CIElectronicsupplementarymaterialTheonlineversionofthisarticle(doi:10.1007/s10549-012-2109-2)containssupplementary0.651–0.858,Pvalue=0.00019)ofvalidationdatasetsmaterial,whichisavailabletoauthorizedus
7、ers.withoutmissingvalues(n=127).Severalanalyses,e.g.M.TakadaM.Toi(&)N.SatoDepartmentofBreastSurgery,GraduateSchoolofMedicine,DepartmentofSurgery,NiigataCancerCentreHospital,KyotoUniversity,54Kawaracho,Shogoin,Sakyo-ku,Kyoto
