biostudies-literatureGrosset AACanada First Research Excellence FundTransMedTech InstituteTFRICIHRFRQSOntario Institute for Cancer ResearchIVADOMitacs (Fellowship) and ODS MedicalGovernment of OntarioUniversity of Montréal Raymond Garneau Endowed Chair in Prostate Cancer ResearchNational Cancer InstituteNCI NIH HHSCRCHUMProstate Cancer CanadaCanadian Tumor Repository NetworkMitacs (Elevate) and Institut du cancer de Montréale1003281https://www.ebi.ac.uk/biostudies/studies/S-EPMC7428053biostudies-literatureUnknown17(8)<h4>Background</h4>Prostate cancer (PC) is the most frequently diagnosed cancer in North American men. Pathologists are in critical need of accurate biomarkers to characterize PC, particularly to confirm the presence of intraductal carcinoma of the prostate (IDC-P), an aggressive histopathological variant for which therapeutic options are now available. Our aim was to identify IDC-P with Raman micro-spectroscopy (RμS) and machine learning technology following a protocol suitable for routine clinical histopathology laboratories.<h4>Methods and findings</h4>We used RμS to differentiate IDC-P from PC, as well as PC and IDC-P from benign tissue on formalin-fixed paraffin-embedded first-line radical prostatectomy specimens (embedded in tissue microarrays [TMAs]) from 483 patients treated in 3 CPLoS medicineIdentification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation.PMC7428053P30CA016042P30 CA016042P50 CA211015Latour MDallaire FOrain MBirlea MHovington HSaad FKadoury SBenzerdjeb NBoutros PDaoust FFraser MKougioumoutzakis ARoy NWong JPrendeville SGrosset AABristow RGNguyen TTetu BAlbadine RLeblond FBergeron Avan der Kwast TAzzi FAubertin KFradet YTrudel DBrisson HfalseIdentification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation.<h4>Background</h4>Prostate cancer (PC) is the most frequently diagnosed cancer in North American men. Pathologists are in critical need of accurate biomarkers to characterize PC, particularly to confirm the presence of intraductal carcinoma of the prostate (IDC-P), an aggressive histopathological variant for which therapeutic options are now available. Our aim was to identify IDC-P with Raman micro-spectroscopy (RμS) and machine learning technology following a protocol suitable for routine clinical histopathology laboratories.<h4>Methods and findings</h4>We used RμS to differentiate IDC-P from PC, as well as PC and IDC-P from benign tissue on formalin-fixed paraffin-embedded first-line radical prostatectomy specimens (embedded in tissue microarrays [TMAs]) from 483 patients treated in 3 C2020-01-01T00:00:00Z2020 Aug2026-04-16T23:12:35.837Z2020-08-23T07:07:12ZS-EPMC74280533279708610.1371/journal.pmed.1003281