• Login
    View Item 
    •   Home
    • The Manchester Institute Cancer Research UK
    • All Paterson Institute for Cancer Research
    • View Item
    •   Home
    • The Manchester Institute Cancer Research UK
    • All Paterson Institute for Cancer Research
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of ChristieCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsProfilesView

    My Account

    LoginRegister

    Local Links

    The Christie WebsiteChristie Library and Knowledge Service

    Statistics

    Display statistics

    Subpathologies and genomic classifier for treatment individualization of post-prostatectomy radiotherapy

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Ramotar, M.
    Chua, M. L. K.
    Truong, H.
    Hosni, A.
    Pintilie, M.
    Davicioni, E.
    Fleshner, N. E.
    Dicker, A. P.
    Bristow, Robert G
    He, H. H.
    van der Kwast, T.
    Den, R. B.
    Berlin, A.
    Show allShow less
    Affiliation
    Department of Radiation Oncology, University of Toronto; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
    Issue Date
    2021
    
    Metadata
    Show full item record
    Abstract
    Purpose/objective: Risk-stratification for post-prostatectomy radiotherapy (PORT) using conventional clinicopathologic indexes leads to substantial over- and under-treatment. Better patient selection could spare unnecessary toxicities and improve outcomes. We investigated the prognostic utility of unfavorable subpathologies intraductal carcinoma and cribriform architecture (IDC/CA), and a 22-gene Decipher genomic classifier (GC) in prostate cancer (PCa) patients receiving PORT. Material/methods: A cohort of 302 men who received PORT at 2 academic institutions was pooled. PORT was predominately delivered as salvage (62% of cases); 20% received HT+PORT. Specimens were centrally reviewed for IDC/CA presence. In 104 cases, GC scores were determined. Endpoints were biochemical relapse-free (bRFR) and metastasis-free (mFR) rates. Results: After a median follow-up of 6.49-years, 135 (45%) and 40 (13%) men experienced biochemical relapse and metastasis, respectively. IDC/CA were identified in 160 (53%) of cases. Men harboring IDC/CA experienced inferior bRFR (HR 2.6, 95%CI 1.8-3.2, P<0.001) and mFR (HR 3.1, 95%CI 1.5-6.4, P = 0.0014). Patients with GC scores, 22 (21%) were stratified low-, 30 (29%) intermediate-, and 52 (50%) high-risk. GC low-risk was associated with superior bRFR (HR 0.25, 95%CI 0.1-0.5, P<0.001) and mFR (HR 0.15, 95%CI 0.03-0.8, P = 0.025). On multivariable analyses, IDC/CA and GC independently predicted for bRFR, corresponding to improved discrimination (C-index = 0.737 (95%CI 0.662-0.813)). Conclusions: IDC/CA subpathologies and GC predict for biochemical relapse and metastasis beyond conventional clinicopathologic indexes in the PORT setting. Patients harboring IDC/CA are at higher risk of relapse after maximal local therapies, thus warranting consideration for treatment intensification strategies. Conversely, for men with absence of IDC/CA and low GC scores, de-intensification strategies could be explored.
    Citation
    Ramotar M, Chua MLK, Truong H, Hosni A, Pintilie M, Davicioni E, et al. Subpathologies and genomic classifier for treatment individualization of post-prostatectomy radiotherapy. Urologic Oncology: Seminars and Original Investigations. 2021 Sep.
    Journal
    Urologic Oncology
    URI
    http://hdl.handle.net/10541/624650
    DOI
    10.1016/j.urolonc.2021.08.013
    PubMed ID
    34538726
    Additional Links
    https://dx.doi.org/10.1016/j.urolonc.2021.08.013
    Type
    Article
    Language
    en
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.urolonc.2021.08.013
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

    entitlement

    Related articles

    • A Prostate Cancer "Nimbosus": Genomic Instability and SChLAP1 Dysregulation Underpin Aggression of Intraductal and Cribriform Subpathologies.
    • Authors: Chua MLK, Lo W, Pintilie M, Murgic J, Lalonde E, Bhandari V, Mahamud O, Gopalan A, Kweldam CF, van Leenders GJLH, Verhoef EI, Hoogland AM, Livingstone J, Berlin A, Dal Pra A, Meng A, Zhang J, Orain M, Picard V, Hovington H, Bergeron A, Lacombe L, Fradet Y, Têtu B, Reuter VE, Fleshner N, Fraser M, Boutros PC, van der Kwast TH, Bristow RG
    • Issue date: 2017 Nov
    • Combined value of validated clinical and genomic risk stratification tools for predicting prostate cancer mortality in a high-risk prostatectomy cohort.
    • Authors: Cooperberg MR, Davicioni E, Crisan A, Jenkins RB, Ghadessi M, Karnes RJ
    • Issue date: 2015 Feb
    • Prognostic impact of intraductal carcinoma and large cribriform carcinoma architecture after prostatectomy in a contemporary cohort.
    • Authors: Trudel D, Downes MR, Sykes J, Kron KJ, Trachtenberg J, van der Kwast TH
    • Issue date: 2014 Jun
    • Tissue-based Genomics Augments Post-prostatectomy Risk Stratification in a Natural History Cohort of Intermediate- and High-Risk Men.
    • Authors: Ross AE, Johnson MH, Yousefi K, Davicioni E, Netto GJ, Marchionni L, Fedor HL, Glavaris S, Choeurng V, Buerki C, Erho N, Lam LL, Humphreys EB, Faraj S, Bezerra SM, Han M, Partin AW, Trock BJ, Schaeffer EM
    • Issue date: 2016 Jan
    • Genomic classifier identifies men with adverse pathology after radical prostatectomy who benefit from adjuvant radiation therapy.
    • Authors: Den RB, Yousefi K, Trabulsi EJ, Abdollah F, Choeurng V, Feng FY, Dicker AP, Lallas CD, Gomella LG, Davicioni E, Karnes RJ
    • Issue date: 2015 Mar 10
    DSpace software (copyright © 2002 - 2025)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.