1
|
Diop MK, Albadine R, Kougioumoutzakis A, Delvoye N, Hovington H, Bergeron A, Fradet Y, Saad F, Trudel D. Identification of Morphologic Criteria Associated with Biochemical Recurrence in Intraductal Carcinoma of the Prostate. Cancers (Basel) 2021; 13:6243. [PMID: 34944863 PMCID: PMC8699439 DOI: 10.3390/cancers13246243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 12/10/2021] [Accepted: 12/10/2021] [Indexed: 11/16/2022] Open
Abstract
Intraductal carcinoma of the prostate (IDC-P) is an aggressive subtype of prostate cancer strongly associated with an increased risk of biochemical recurrence (BCR). However, approximately 40% of men with IDC-P remain BCR-free five years after radical prostatectomy. In this retrospective multicenter study, we aimed to identify histologic criteria associated with BCR for IDC-P lesions. A total of 108 first-line radical prostatectomy specimens were reviewed. In our test cohort (n = 39), presence of larger duct size (>573 µm in diameter), cells with irregular nuclear contours (CINC) (≥5 CINC in two distinct high-power fields), high mitotic score (>1.81 mitoses/mm2), blood vessels, and comedonecrosis were associated with early BCR (<18 months) (p < 0.05). In our validation cohort (n = 69), the presence of CINC or blood vessels was independently associated with an increased risk of BCR (hazard ratio [HR] 2.32, 95% confidence interval [CI] 1.09-4.96, p = 0.029). When combining the criteria, the presence of any CINC, blood vessels, high mitotic score, or comedonecrosis showed a stronger association with BCR (HR 2.74, 95% CI 1.21-6.19, p = 0.015). Our results suggest that IDC-P can be classified as low versus high-risk of BCR. The defined morphologic criteria can be easily assessed and should be integrated for clinical application following validation in larger cohorts.
Collapse
Affiliation(s)
- Mame-Kany Diop
- Centre de recherche du Centre hospitalier de l’Université de Montréal (axe Cancer) and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, QC H2X 0A9, Canada; (M.-K.D.); (N.D.); (F.S.)
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada;
| | - Roula Albadine
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada;
- Department of Pathology, Centre hospitalier de l’Université de Montréal, 1051 Sanguinet, Montréal, QC H2X 0C1, Canada;
| | - André Kougioumoutzakis
- Department of Pathology, Centre hospitalier de l’Université de Montréal, 1051 Sanguinet, Montréal, QC H2X 0C1, Canada;
| | - Nathalie Delvoye
- Centre de recherche du Centre hospitalier de l’Université de Montréal (axe Cancer) and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, QC H2X 0A9, Canada; (M.-K.D.); (N.D.); (F.S.)
| | - Hélène Hovington
- Laboratoire d’Uro-Oncologie Expérimentale, Centre de recherche du CHU de Québec-Université Laval (axe Oncologie), Hôpital L’Hôtel-Dieu de Québec, 10 McMahon, Québec City, QC G1R 3S1, Canada; (H.H.); (A.B.); (Y.F.)
| | - Alain Bergeron
- Laboratoire d’Uro-Oncologie Expérimentale, Centre de recherche du CHU de Québec-Université Laval (axe Oncologie), Hôpital L’Hôtel-Dieu de Québec, 10 McMahon, Québec City, QC G1R 3S1, Canada; (H.H.); (A.B.); (Y.F.)
- Department of Surgery, Université Laval, 2325 rue de l’Université, Québec City, QC G1V 0A6, Canada
| | - Yves Fradet
- Laboratoire d’Uro-Oncologie Expérimentale, Centre de recherche du CHU de Québec-Université Laval (axe Oncologie), Hôpital L’Hôtel-Dieu de Québec, 10 McMahon, Québec City, QC G1R 3S1, Canada; (H.H.); (A.B.); (Y.F.)
- Department of Surgery, Université Laval, 2325 rue de l’Université, Québec City, QC G1V 0A6, Canada
| | - Fred Saad
- Centre de recherche du Centre hospitalier de l’Université de Montréal (axe Cancer) and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, QC H2X 0A9, Canada; (M.-K.D.); (N.D.); (F.S.)
- Department of Urology, Centre hospitalier de l’Université de Montréal, 1051 Sanguinet, Montréal, QC H2X 0C1, Canada
| | - Dominique Trudel
- Centre de recherche du Centre hospitalier de l’Université de Montréal (axe Cancer) and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, QC H2X 0A9, Canada; (M.-K.D.); (N.D.); (F.S.)
- Department of Pathology and Cellular Biology, Université de Montréal, 2900 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, Canada;
- Department of Pathology, Centre hospitalier de l’Université de Montréal, 1051 Sanguinet, Montréal, QC H2X 0C1, Canada;
| |
Collapse
|
2
|
Plante A, Dallaire F, Grosset AA, Nguyen T, Birlea M, Wong J, Daoust F, Roy N, Kougioumoutzakis A, Azzi F, Aubertin K, Kadoury S, Latour M, Albadine R, Prendeville S, Boutros P, Fraser M, Bristow RG, van der Kwast T, Orain M, Brisson H, Benzerdjeb N, Hovington H, Bergeron A, Fradet Y, Têtu B, Saad F, Trudel D, Leblond F. Dimensional reduction based on peak fitting of Raman micro spectroscopy data improves detection of prostate cancer in tissue specimens. J Biomed Opt 2021; 26:JBO-210212R. [PMID: 34743445 PMCID: PMC8571651 DOI: 10.1117/1.jbo.26.11.116501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/04/2021] [Indexed: 06/13/2023]
Abstract
SIGNIFICANCE Prostate cancer is the most common cancer among men. An accurate diagnosis of its severity at detection plays a major role in improving their survival. Recently, machine learning models using biomarkers identified from Raman micro-spectroscopy discriminated intraductal carcinoma of the prostate (IDC-P) from cancer tissue with a ≥85 % detection accuracy and differentiated high-grade prostatic intraepithelial neoplasia (HGPIN) from IDC-P with a ≥97.8 % accuracy. AIM To improve the classification performance of machine learning models identifying different types of prostate cancer tissue using a new dimensional reduction technique. APPROACH A radial basis function (RBF) kernel support vector machine (SVM) model was trained on Raman spectra of prostate tissue from a 272-patient cohort (Centre hospitalier de l'Université de Montréal, CHUM) and tested on two independent cohorts of 76 patients [University Health Network (UHN)] and 135 patients (Centre hospitalier universitaire de Québec-Université Laval, CHUQc-UL). Two types of engineered features were used. Individual intensity features, i.e., Raman signal intensity measured at particular wavelengths and novel Raman spectra fitted peak features consisting of peak heights and widths. RESULTS Combining engineered features improved classification performance for the three aforementioned classification tasks. The improvements for IDC-P/cancer classification for the UHN and CHUQc-UL testing sets in accuracy, sensitivity, specificity, and area under the curve (AUC) are (numbers in parenthesis are associated with the CHUQc-UL testing set): +4 % (+8 % ), +7 % (+9 % ), +2 % (6%), +9 (+9) with respect to the current best models. Discrimination between HGPIN and IDC-P was also improved in both testing cohorts: +2.2 % (+1.7 % ), +4.5 % (+3.6 % ), +0 % (+0 % ), +2.3 (+0). While no global improvements were obtained for the normal versus cancer classification task [+0 % (-2 % ), +0 % (-3 % ), +2 % (-2 % ), +4 (+3)], the AUC was improved in both testing sets. CONCLUSIONS Combining individual intensity features and novel Raman fitted peak features, improved the classification performance on two independent and multicenter testing sets in comparison to using only individual intensity features.
Collapse
Affiliation(s)
- Arthur Plante
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
| | - Frédérick Dallaire
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
| | - Andrée-Anne Grosset
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Université de Montréal, Department of Pathology and Cellular Biology, Montreal, Quebec, Canada
| | - Tien Nguyen
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
| | - Mirela Birlea
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Jahg Wong
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - François Daoust
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
| | - Noémi Roy
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - André Kougioumoutzakis
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Feryel Azzi
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Kelly Aubertin
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Samuel Kadoury
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Polytechnique Montréal, Department of Computer Engineering and Software Engineering, Montreal, Quebec, Canada
| | - Mathieu Latour
- Université de Montréal, Department of Pathology and Cellular Biology, Montreal, Quebec, Canada
- Centre hospitalier de l’Université de Montréal, Department of Pathology, Montreal, Quebec, Canada
| | - Roula Albadine
- Université de Montréal, Department of Pathology and Cellular Biology, Montreal, Quebec, Canada
- Centre hospitalier de l’Université de Montréal, Department of Pathology, Montreal, Quebec, Canada
| | - Susan Prendeville
- University Health Network, Laboratory Medicine Program, Toronto, Ontario, Canada
| | - Paul Boutros
- Informatics & Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- University of California, Los Angeles, Department of Human Genetics, Los Angeles, California, United States
- University of California, Los Angeles, Department of Urology, Los Angeles, California, United States
- University of California, Los Angeles, Institute for Precision Health, Los Angeles, California, United States
- University of California, Los Angeles, Jonsson Comprehensive Cancer Center, Los Angeles, California, United States
- University Health Network, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Michael Fraser
- Informatics & Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- University Health Network, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Rob G. Bristow
- University Health Network, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | | | - Michèle Orain
- Centre de recherche du Centre hospitalier universitaire de Québec-Université Laval, Oncology Division, Quebec City, Quebec, Canada
- Université Laval, Centre de recherche sur le cancer, Quebec City, Quebec, Canada
| | - Hervé Brisson
- Centre de recherche du Centre hospitalier universitaire de Québec-Université Laval, Oncology Division, Quebec City, Quebec, Canada
- Université Laval, Centre de recherche sur le cancer, Quebec City, Quebec, Canada
| | - Nazim Benzerdjeb
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Centre de recherche du Centre hospitalier universitaire de Québec-Université Laval, Oncology Division, Quebec City, Quebec, Canada
- Université Laval, Centre de recherche sur le cancer, Quebec City, Quebec, Canada
| | - Hélène Hovington
- Centre de recherche du Centre hospitalier universitaire de Québec-Université Laval, Oncology Division, Quebec City, Quebec, Canada
- Université Laval, Centre de recherche sur le cancer, Quebec City, Quebec, Canada
| | - Alain Bergeron
- Centre de recherche du Centre hospitalier universitaire de Québec-Université Laval, Oncology Division, Quebec City, Quebec, Canada
- Université Laval, Centre de recherche sur le cancer, Quebec City, Quebec, Canada
- Université Laval, Department of Surgery, Quebec City, Quebec, Canada
| | - Yves Fradet
- Centre de recherche du Centre hospitalier universitaire de Québec-Université Laval, Oncology Division, Quebec City, Quebec, Canada
- Université Laval, Centre de recherche sur le cancer, Quebec City, Quebec, Canada
- Université Laval, Department of Surgery, Quebec City, Quebec, Canada
| | - Bernard Têtu
- Centre de recherche du Centre hospitalier universitaire de Québec-Université Laval, Oncology Division, Quebec City, Quebec, Canada
- Université Laval, Centre de recherche sur le cancer, Quebec City, Quebec, Canada
| | - Fred Saad
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Dominique Trudel
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
| | - Frédéric Leblond
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Polytechnique Montréal, Department of Engineering Physics, Montreal, Quebec, Canada
- Université de Montréal, Department of Pathology and Cellular Biology, Montreal, Quebec, Canada
| |
Collapse
|
3
|
Grosset AA, Dallaire F, Nguyen T, Birlea M, Wong J, Daoust F, Roy N, Kougioumoutzakis A, Azzi F, Aubertin K, Kadoury S, Latour M, Albadine R, Prendeville S, Boutros P, Fraser M, Bristow RG, van der Kwast T, Orain M, Brisson H, Benzerdjeb N, Hovington H, Bergeron A, Fradet Y, Têtu B, Saad F, Leblond F, Trudel D. Identification of intraductal carcinoma of the prostate on tissue specimens using Raman micro-spectroscopy: A diagnostic accuracy case-control study with multicohort validation. PLoS Med 2020; 17:e1003281. [PMID: 32797086 PMCID: PMC7428053 DOI: 10.1371/journal.pmed.1003281] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 07/20/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND 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. METHODS AND FINDINGS 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 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 trained and cross-validated using data from 1 institution. Accuracy, sensitivity, and specificity were 87% ± 5%, 86% ± 6%, and 89% ± 8%, respectively, to differentiate PC from benign tissue, and 95% ± 2%, 96% ± 4%, and 94% ± 2%, respectively, to differentiate IDC-P from PC. The trained models were then tested on Raman spectra from 2 independent institutions, reaching accuracies, sensitivities, and specificities of 84% and 86%, 84% and 87%, and 81% and 82%, respectively, to diagnose PC, and of 85% and 91%, 85% and 88%, and 86% and 93%, respectively, for the identification of IDC-P. IDC-P could further be differentiated from high-grade prostatic intraepithelial neoplasia (HGPIN), a pre-malignant intraductal proliferation that can be mistaken as IDC-P, with accuracies, sensitivities, and specificities > 95% in both training and testing cohorts. As we used stringent criteria to diagnose IDC-P, the main limitation of our study is the exclusion of borderline, difficult-to-classify lesions from our datasets. CONCLUSIONS In this study, we developed classification models for the analysis of RμS data to differentiate IDC-P, PC, and benign tissue, including HGPIN. RμS could be a next-generation histopathological technique used to reinforce the identification of high-risk PC patients and lead to more precise diagnosis of IDC-P.
Collapse
Affiliation(s)
- Andrée-Anne Grosset
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Department of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada
| | - Frédérick Dallaire
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montreal, Quebec, Canada
| | - Tien Nguyen
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Department of Engineering Physics, Polytechnique Montréal, Montreal, Quebec, Canada
| | - Mirela Birlea
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Jahg Wong
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - François Daoust
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Department of Engineering Physics, Polytechnique Montréal, Montreal, Quebec, Canada
| | - Noémi Roy
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - André Kougioumoutzakis
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Feryel Azzi
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Kelly Aubertin
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Samuel Kadoury
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montreal, Quebec, Canada
| | - Mathieu Latour
- Department of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada
- Department of Pathology, Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Roula Albadine
- Department of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada
- Department of Pathology, Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| | - Susan Prendeville
- Laboratory Medicine Program, University Health Network, Toronto, Ontario, Canada
| | - Paul Boutros
- Informatics & Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, California, United States of America
- Department of Urology, University of California, Los Angeles, Los Angeles, California, United States of America
- Institute for Precision Health, University of California, Los Angeles, Los Angeles, California, United States of America
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Michael Fraser
- Informatics & Biocomputing Program, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Rob G. Bristow
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | | | - Michèle Orain
- Oncology Division, Centre de recherche du Centre hospitalier universitaire de Québec–Université Laval, Quebec City, Quebec, Canada
- Centre de recherche sur le cancer, Université Laval, Quebec City, Quebec, Canada
| | - Hervé Brisson
- Oncology Division, Centre de recherche du Centre hospitalier universitaire de Québec–Université Laval, Quebec City, Quebec, Canada
- Centre de recherche sur le cancer, Université Laval, Quebec City, Quebec, Canada
| | - Nazim Benzerdjeb
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Oncology Division, Centre de recherche du Centre hospitalier universitaire de Québec–Université Laval, Quebec City, Quebec, Canada
- Centre de recherche sur le cancer, Université Laval, Quebec City, Quebec, Canada
| | - Hélène Hovington
- Oncology Division, Centre de recherche du Centre hospitalier universitaire de Québec–Université Laval, Quebec City, Quebec, Canada
- Centre de recherche sur le cancer, Université Laval, Quebec City, Quebec, Canada
| | - Alain Bergeron
- Oncology Division, Centre de recherche du Centre hospitalier universitaire de Québec–Université Laval, Quebec City, Quebec, Canada
- Centre de recherche sur le cancer, Université Laval, Quebec City, Quebec, Canada
- Department of Surgery, Université Laval, Quebec City, Quebec, Canada
| | - Yves Fradet
- Oncology Division, Centre de recherche du Centre hospitalier universitaire de Québec–Université Laval, Quebec City, Quebec, Canada
- Centre de recherche sur le cancer, Université Laval, Quebec City, Quebec, Canada
- Department of Surgery, Université Laval, Quebec City, Quebec, Canada
| | - Bernard Têtu
- Oncology Division, Centre de recherche du Centre hospitalier universitaire de Québec–Université Laval, Quebec City, Quebec, Canada
- Centre de recherche sur le cancer, Université Laval, Quebec City, Quebec, Canada
| | - Fred Saad
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
| | - Frédéric Leblond
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Department of Engineering Physics, Polytechnique Montréal, Montreal, Quebec, Canada
| | - Dominique Trudel
- Centre de recherche du Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
- Institut du cancer de Montréal, Montreal, Quebec, Canada
- Department of Pathology and Cellular Biology, Université de Montréal, Montreal, Quebec, Canada
- Department of Pathology, Centre hospitalier de l’Université de Montréal, Montreal, Quebec, Canada
| |
Collapse
|
4
|
Kougioumoutzakis A, Pelletier JG, Laplante I, Khlaifia A, Lacaille JC. TRPC1 mediates slow excitatory synaptic transmission in hippocampal oriens/alveus interneurons. Mol Brain 2020; 13:12. [PMID: 31996247 PMCID: PMC6988362 DOI: 10.1186/s13041-020-0558-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 01/21/2020] [Indexed: 12/31/2022] Open
Abstract
Hippocampal GABAergic interneurons play key roles in regulating principal cell activity and plasticity. Interneurons located in stratum oriens/alveus (O/A INs) receive excitatory inputs from CA1 pyramidal cells and express a Hebbian form of long-term potentiation (LTP) at their excitatory input synapses. This LTP requires the activation of metabotropic glutamate receptors 1a (mGluR1a) and Ca2+ entry via transient receptor potential (TRP) channels. However, the type of TRP channels involved in synaptic transmission at these synapses remains largely unknown. Using patch-clamp recordings, we show that slow excitatory postsynaptic currents (EPSCs) evoked in O/A INs are dependent on TRP channels but may be independent of phospholipase C. Using reverse transcription polymerase chain reaction (RT-PCR) we found that mRNA for TRPC 1, 3–7 was present in CA1 hippocampus. Using single-cell RT-PCR, we found expression of mRNA for TRPC 1, 4–7, but not TRPC3, in O/A INs. Using co-immunoprecipitation assays in HEK-293 cell expression system, we found that TRPC1 and TRPC4 interacted with mGluR1a. Co-immunoprecipitation in hippocampus showed that TRPC1 interacted with mGluR1a. Using immunofluorescence, we found that TRPC1 co-localized with mGluR1a in O/A IN dendrites, whereas TRPC4 localization appeared limited to O/A IN cell body. Down-regulation of TRPC1, but not TRPC4, expression in O/A INs using small interfering RNAs prevented slow EPSCs, suggesting that TRPC1 is an obligatory TRPC subunit for these EPSCs. Our findings uncover a functional role of TRPC1 in mGluR1a-mediated slow excitatory synaptic transmission onto O/A INs that could be involved in Hebbian LTP at these synapses.
Collapse
Affiliation(s)
- André Kougioumoutzakis
- Department of Neurosciences and GRSNC, Université de Montréal, P.O. Box 6128, Station Downtown, Montreal, Montreal, QC, H3C 3J7, Canada
| | - Joe Guillaume Pelletier
- Department of Neurosciences and GRSNC, Université de Montréal, P.O. Box 6128, Station Downtown, Montreal, Montreal, QC, H3C 3J7, Canada
| | - Isabel Laplante
- Department of Neurosciences and GRSNC, Université de Montréal, P.O. Box 6128, Station Downtown, Montreal, Montreal, QC, H3C 3J7, Canada
| | - Abdessattar Khlaifia
- Department of Neurosciences and GRSNC, Université de Montréal, P.O. Box 6128, Station Downtown, Montreal, Montreal, QC, H3C 3J7, Canada
| | - Jean-Claude Lacaille
- Department of Neurosciences and GRSNC, Université de Montréal, P.O. Box 6128, Station Downtown, Montreal, Montreal, QC, H3C 3J7, Canada.
| |
Collapse
|
5
|
Trudel D, Grosset AA, Dallaire F, Nguyen T, Kougioumoutzakis A, Azzi F, Aubertin K, Saad F, Latour M, Albadine R, Boutros P, Fraser M, Bristow R, Van der Kwast T, Benzerdjeb N, Hovington H, Bergeron A, Fradet Y, Brisson H, Leblond F. Raman microscopy for the identification of an aggressive variant of prostate cancer, intraductal carcinoma of the prostate. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz239.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
6
|
Trinh VQ, Benzerdjeb N, Chagnon-Monarque S, Dionne N, Delouya G, Kougioumoutzakis A, Sirois J, Albadine R, Latour M, Mes-Masson AM, Hovington H, Bergeron A, Zorn KC, Fradet Y, Saad F, Taussky D, Trudel D. Retrospective study on the benefit of adjuvant radiotherapy in men with intraductal carcinoma of prostate. Radiat Oncol 2019; 14:60. [PMID: 31018850 PMCID: PMC6482557 DOI: 10.1186/s13014-019-1267-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 03/28/2019] [Indexed: 12/05/2022] Open
Abstract
Background Intraductal carcinoma of the prostate (IDC-P) is an independent biomarker of recurrence and survival with particular treatment response, yet no study has tested its response to radiotherapy. The aim of our project was to test the impact of adjuvant radiotherapy (ART) in patients with localized to locally advanced prostate cancer (PC) and IDC-P. Materials and methods We performed a retrospective study of men with pT2-T3 PC treated by radical prostatectomy (RP) with or without ART, from two centres (1993–2015). Exclusion criteria were the use of another type of treatment prior to biochemical recurrence (BCR), and detectable prostate- specific antigen (PSA) following RP or ART. Primary outcome was BCR (2 consecutive PSA ≥ 0.2 ng/ml). Patients were grouped by treatment (RPonly/RP + ART), IDC-P status, and presence of high-risk features (HRF: Grade Groups 4–5, positive margins, pT3 stage). Results We reviewed 293 RP specimens (median follow-up 99 months, 69 BCR). Forty-eight patients (16.4%) were treated by RP + ART. Multivariate Cox regression for BCR indicated that IDC-P had the strongest impact (hazard ratio [HR] = 2.39, 95% confidence interval [CI]:1.44–3.97), while ART reduced the risk of BCR (HR = 0.38, 95%CI: 0.17–0.85). Other HRF were all significant except for pT3b stage. IDC-P[+] patients who did not receive ART had the worst BCR-free survival (log-rank P = 0.023). Furthermore, IDC-P had the same impact on BCR-free survival as ≥1 HRF (log-rank P = 0.955). Conclusion Men with IDC-P who did not receive ART had the highest BCR rates, and IDC-P had the same impact as ≥1 HRF, which are often used as ART indications. Once validated, ART should be considered in patients with IDC-P. Electronic supplementary material The online version of this article (10.1186/s13014-019-1267-3) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Vincent Q Trinh
- Department of Pathology, Centre hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada
| | - Nazim Benzerdjeb
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada
| | - Ségolène Chagnon-Monarque
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada
| | - Nicolas Dionne
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada
| | - Guila Delouya
- Department of Radiation Oncology, Centre Hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada
| | - André Kougioumoutzakis
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada
| | - Jennifer Sirois
- Department of Pathology, Centre hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada
| | - Roula Albadine
- Department of Pathology, Centre hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada
| | - Mathieu Latour
- Department of Pathology, Centre hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada.,Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada
| | - Anne-Marie Mes-Masson
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada.,Department of Medicine, Université de Montréal, Montréal, Québec, H3C 3J7, Canada
| | - Hélène Hovington
- Laboratoire d'Uro-Oncologie Expérimentale, Centre de Recherche du Centre Hospitalier Universitaire de Québec-Université-Laval, Hôpital L'Hôtel-Dieu de Québec, 10 McMahon, Québec, G1R 3S1, Canada
| | - Alain Bergeron
- Laboratoire d'Uro-Oncologie Expérimentale, Centre de Recherche du Centre Hospitalier Universitaire de Québec-Université-Laval, Hôpital L'Hôtel-Dieu de Québec, 10 McMahon, Québec, G1R 3S1, Canada
| | - Kevin C Zorn
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada.,Department of Urology, Centre Hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada
| | - Yves Fradet
- Department of Urology, Centre Hospitalier Universitaire de Québec-Université-Laval, Hôpital L'Hôtel-Dieu de Québec, 11 Côte du Palais, Québec, G1R 2J6, Canada
| | - Fred Saad
- Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada.,Department of Urology, Centre Hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada
| | - Daniel Taussky
- Department of Radiation Oncology, Centre Hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada
| | - Dominique Trudel
- Department of Pathology, Centre hospitalier de l'Université de Montréal, 1051 Sanguinet, Montréal, Québec, H2X 0C1, Canada. .,Centre de recherche du Centre hospitalier de l'Université de Montréal and Institut du cancer de Montréal, 900 Saint-Denis, Montréal, Québec, H2X 0A9, Canada.
| |
Collapse
|
7
|
Topolnik L, Azzi M, Morin F, Kougioumoutzakis A, Lacaille JC. mGluR1/5 subtype-specific calcium signalling and induction of long-term potentiation in rat hippocampal oriens/alveus interneurones. J Physiol 2006; 575:115-31. [PMID: 16740609 PMCID: PMC1819425 DOI: 10.1113/jphysiol.2006.112896] [Citation(s) in RCA: 90] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Hippocampal inhibitory interneurones demonstrate pathway- and synapse-specific rules of transmission and plasticity, which are key determinants of their role in controlling pyramidal cell excitability. Mechanisms underlying long-term changes at interneurone excitatory synapses, despite their importance, remain largely unknown. We use two-photon calcium imaging and whole-cell recordings to determine the Ca2+ signalling mechanisms linked specifically to group I metabotropic glutamate receptors (mGluR1alpha and mGluR5) and their role in hebbian long-term potentiation (LTP) in oriens/alveus (O/A) interneurones. We demonstrate that mGluR1alpha activation elicits dendritic Ca2+ signals resulting from Ca2+ influx via transient receptor potential (TRP) channels and Ca2+ release from intracellular stores. By contrast, mGluR5 activation produces dendritic Ca2+ transients mediated exclusively by intracellular Ca2+ release. Using Western blot analysis and immunocytochemistry, we show mGluR1alpha-specific extracellular signal-regulated kinase (ERK1/2) activation via Src in CA1 hippocampus and, in particular, in O/A interneurones. Moreover, we find that mGluR1alpha/TRP Ca2+ signals in interneurone dendrites are dependent on activation of the Src/ERK cascade. Finally, this mGluR1alpha-specific Ca2+ signalling controls LTP at interneurone synapses since blocking either TRP channels or Src/ERK and intracellular Ca2+ release prevents LTP induction. Thus, our findings uncover a novel molecular mechanism of interneurone-specific Ca2+ signalling, critical in regulating synaptic excitability in hippocampal networks.
Collapse
Affiliation(s)
- Lisa Topolnik
- Département de Physiologie, Centre de Recherche en Sciences Neurologiques, Université de Montréal, Case Postale 6128, Succursale Centre-Ville, Montréal, Qc, Canada H3C 3J7
| | | | | | | | | |
Collapse
|