简介:Objective:ThisstudyaimstoestablishamethodforhighlyparallelmultiplexeddetectionofgeneticmutationsinChineselungcancersamplesthroughAgenaiPLEXchemistryandmatrix-assistedlaserdesorptionionizationtime-of-flightanalysisonMassARRAYmassspectrometryplatform.Methods:Wereviewedtherelatedliteratureanddataonlungcancertreatments.Wealsoidentified99mutationhotspotsin13targetgenescloselyrelatedtothepathogenesis,drugresistance,andmetastasisoflungcancer.Atotalof297primers,composedof99pairedforwardandreverseamplificationprimersand99matchedextensionprimers,weredesignedusingAssayDesignsoftware.Thedetectionmethodwasestablishedbyanalyzingeightcelllinesandsixlungcancerspecimens.TheproposedmethodwasthenvalidatedthroughcomparisonsbyusingaLungCarta~(TM)kit.ThesensitivityandspecificityoftheproposedmethodwereevaluatedbydirectlysequencingEGFRandKRASgenesin100lungcancercases.Results:Theproposedmethodwasabletodetectmultiplexgeneticmutationsinlungcancercelllines.Thisfindingwasconsistentwiththeobservationsonpreviouslyreportedmutations.Theproposedmethodcanalsodetectsuchmutationsinclinicallungcancerspecimens.ThisresultwasconsistentwiththeobservationswithLungCarta~(TM)kit.However,anFGFR2mutationwasdetectedonlythroughtheproposedmethod.Themeasuredsensitivityandspecificitywere100%and96.3%,respectively.Conclusions:TheproposedMassARRAYtechnology-basedmultiplexmethodcandetectgeneticmutationsinChineselungcancerpatients.Therefore,theproposedmethodcanbeappliedtodetectmutationsinothercancertissues.
简介:Modalstrainenergybasedmethodsfordamagedetectionhavereceivedmuchattention.However,mostofpublishedarticlesusenumericalmethodsandsomestudiesconductmodaltestswithsimple1Dor2Dstructurestoverifythedamagedetectionalgorithms.Onlyafewstudiesutilizemodaltestingdatafrom3Dframestructures.Fewstudiesconductperformancecomparisonsbetweentwodifferentmodalstrainenergybasedmethods.Theobjectiveofthispaperistoinvestigateandcomparetheeffectivenessofatraditionalmodalstrainenergymethod(Stubbsindex)andarecentlydevelopedmodalstrainenergydecomposition(MSED)methodfordamagelocalization,forsuchapurposebothsimulatedandmeasureddatafromanoffshoreplatformmodelbeingused.Particularly,themodeshapesusedinthedamagelocalizationareidentifiedandsynthesizedfromonlytwomeasurementsofonedamagescenariobecauseofthelimitednumberofsensors.Thetwomethodswerefirstbrieflyreviewed.Next,usinga3Doffshoreplatformmodel,thedamagedetectionalgorithmswereimplementedwithdifferentlevelsofdamageseveritiesforbothsingledamageandmultipledamagecases.Finally,aphysicalmodelofanoffshoresteelplatformwasconstructedformodaltestingandforvalidatingtheapplicability.ResultsindicatethattheMSEDmethodoutperformstheStubbsindexmethodforstructuraldamagedetection.