التفاصيل البيبلوغرافية
| العنوان: |
Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case–control study with multicohort validation |
| المؤلفون: |
Grosset, Andrée-Anne, Dallaire, Frédérick, Nguyen, Tien, Birlea, Mirela, Wong, Jahg, Daoust, François, Roy, Noémi, Kougioumoutzakis, André, Azzi, Feryel, Aubertin, Kelly, Kadoury, Samuel, Latour, Mathieu, Albadine, Roula, Prendeville, Susan, Boutros, Paul, Fraser, Michael, Bristow, Rob G, van der Kwast, Theodorus, Orain, Michèle, Brisson, Hervé, Benzerdjeb, Nazim, Hovington, Hélène, Bergeron, Alain, Fradet, Yves, Têtu, Bernard, Saad, Fred, Leblond, Frédéric, Trudel, Dominique |
| المساهمون: |
Basu, Sanjay |
| المصدر: |
PLOS Medicine, vol 17, iss 8 |
| بيانات النشر: |
eScholarship, University of California |
| سنة النشر: |
2020 |
| المجموعة: |
University of California: eScholarship |
| مصطلحات موضوعية: |
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Cancer, Prostate Cancer, Urologic Diseases, Aged, Canada, Carcinoma, Intraductal, Noninfiltrating, Case-Control Studies, Cohort Studies, Humans, Machine Learning, Male, Middle Aged, Nonlinear Optical Microscopy, Prostatic Neoplasms, Reproducibility of Results, Retrospective Studies, Medical and Health Sciences, General & Internal Medicine, Health sciences |
| الوصف: |
BackgroundProstate 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.Methods and findingsWe 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 Canadian institutions between 1993 and 2013. The main measures were the presence or absence of IDC-P and of PC, regardless of the clinical outcomes. The median age at radical prostatectomy was 62 years. Most of the specimens from the first cohort (Centre hospitalier de l'Université de Montréal) were of Gleason score 3 + 3 = 6 (51%) while most of the specimens from the 2 other cohorts (University Health Network and Centre hospitalier universitaire de Québec-Université Laval) were of Gleason score 3 + 4 = 7 (51% and 52%, respectively). Most of the 483 patients were pT2 stage (44%-69%), and pT3a (22%-49%) was more frequent than pT3b (9%-12%). To investigate the prostate tissue of each patient, 2 consecutive sections of each TMA block were cut. The first section was transferred onto a glass slide to perform immunohistochemistry with H&E counterstaining for cell identification. The second section was placed on an aluminum slide, dewaxed, and then used to acquire an average of 7 Raman spectra per specimen (between 4 and 24 Raman spectra, 4 acquisitions/TMA core). Raman spectra of each cell type were then analyzed to retrieve tissue-specific molecular information and to generate classification models using machine learning technology. Models were ... |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
unknown |
| العلاقة: |
qt2h62f583; https://escholarship.org/uc/item/2h62f583Test |
| الإتاحة: |
https://escholarship.org/uc/item/2h62f583Test |
| حقوق: |
public |
| رقم الانضمام: |
edsbas.C0276D7E |
| قاعدة البيانات: |
BASE |
