Genopole - Séminaire "Sciences & Techno" - Biomarqueurs et Protéomique LeSOMAscan,uneapprocheinnovantepourledosagesimultanéde1305protéines: applicationàl’étudeducanceretdesmaladiescardio-vasculaires Jeudi27/04/2017auLAMBE(UEVE) 10h00-10h30:Useofmodifiedaptamersasanewproteomicstoolforunprecedented multiplexassay-theSOMAscan NicolasAutret,PhD–SomaLogic–[email protected] Eventhoughproteinsarethetargetsof95%ofallknowndrugs,anddownstreamofboth genetics and the environment, proteomics has failed to generate even a fraction of the excitement that drives the genomics revolution. This has been justifiable until now because largescale,highthroughput,highlymultiplexedproteinmeasurementshavenotbeenpossible. With the availability of the SOMAscan 1.3k assay, using modified DNA-based reagents which form highly specific complexes with proteins, we have re-purposed genetic technologies to measure proteins at unprecedented scale and performance:sub-picogramdetectionofthousandsofproteinswithhighprecisionandtinyvolumesofsample. Examples from cancer, neurological disorders up to cardiovascular diseases will be shown of how the individual novel reagents as well as the SOMAscan assay are being used to uncover new biology, validate new targets, compliment genomicsfindingsanddeliveractionableinformationformedicalpracticeanddrugdevelopment. 10h40-11h10- Predictive biomarkers for the response to treatments in triple-negative breast cancer: use of the SOMAscaninadditiontothereverse-phaseproteinarray(RPPA)technology. LeannedeKoning,PhD–InstitutCurie–[email protected] Triplenegativebreastcancer(TNBC),characterizedbytheabsenceofhormonereceptorsandnoHER2overexpression,is aheterogeneousgroupofbreastcancerswithbadprognosisduetoearlyrelapse.Notargetedtherapyoptionscurrently exist.Here,wewantedtoestablishthetumorproteinprofileofourtriplenegativecellmodelsgrownin2Dand3D,in orderto(i)refinetheclassificationofthisveryheterogeneoussubgroup,(ii)identifypredictivebiomarkersorsignatures tobetteradapttreatments,and(iii)toproposenewtherapeuticstrategiesviathediscoveryoftargetproteins. Somascantechnologyhasallowedustoprobe1305differentproteinsinawidescreenandthuspointoutthesignaling pathwaysthatcanbederegulatedinthetriplenegativecelllinesgrownin3D.Theresultsarethenvalidatedandfurther developedwiththeReversePhaseProteinArray(RPPA)technology,whichallowsnotonlytoquantifythetotalamountof proteinbutalsotheirpost-translationalmodificationssuchasphosphorylationtobestudied. UnlikeSomascan,RPPArequiresapreciseselectionoftheproteinstobeanalyzed,butitallowstostudy550samplesona singlechip.Thetwotechnologiesarethuscomplementary:theSomascanallowsustoselectfromaboutthirtysamples theproteinsandsignalingpathwaysofinterestwhicharethenstudiedmorefinelyinRPPAonalargeseriesofsamples, includingnotonlycelllinesbutalsoxenograftsandpatienttumors. 11h20-11h50:Interestofmulti-markerapproachforpredictingearlymortalityinheartfailurepatientswithreduced ejectionfraction FlorencePinet,M.D.,PhD–InstitutPasteurdeLille–[email protected] Ourobjectiveistofindnewbiomarkersassociatedwithearlycardiovascularmortalityinheartfailurebyamulti-marker approach. For that purpose we used a prospective register (INCA study) including consecutively heart failure patients (systolicHFwithLVEF≤45%),clinicallystable(nodecompensation,nohospitalizationintheprevious2months)withan optimalmedicaltherapy. The patients undergo a prognostic evaluation (NYHA class, BNP levels, LVEF measurement, Peak VO2 obtained during cardiopulmonaryexercisetesting).Allpatientshadacoronarographyfordeterminingetiologyofcardiopathy. WecompareproteinsignalsinplasmafromINCAstudyheartfailureparticipantswhowerealive(n=84)ordead(n=84) within3yearsafterstudyenrollmentwithSOMAscan1.3kassay,measuring1,305proteins.4samples(allcontrols)failed SOMAscanQCcriteriaandwereexcludedfromtheanalysis.WefoundacorrelationbetweenthelevelsofBNPquantified byBNPSOMAmerwithClinicalBNP.345proteinsand2clinicalvariablesweresignificantatKStestFDRp<0.05. Thenextstepisanintegrativeanalysisofmolecularandclinicaldatainordertobuildamolecularinteractionnetwork undercytoscape.