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Using prognosis to guide inclusion criteria, define standardised endpoints and stratify follow-up in active surveillance for prostate cancer

Gnanapragasam, V. J. (författare)
Univ Cambridge, Acad Urol Grp, Dept Surg, Box 279 S4,Cambridge Biomed Campus, Cambridge CB2 0QQ, England;Cambridge Univ Hosp NHS Trust, Dept Urol, Cambridge, England;Univ Cambridge, Cambridge Urol Translat Res & Clin Trials, Cambridge Biomed Campus, Cambridge, England
Barrett, T. (författare)
Univ Cambridge, Dept Radiol, Cambridge, England
Thankapannair, V. (författare)
Cambridge Univ Hosp NHS Trust, Dept Urol, Cambridge, England
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Thurtle, D. (författare)
Univ Cambridge, Acad Urol Grp, Dept Surg, Box 279 S4,Cambridge Biomed Campus, Cambridge CB2 0QQ, England
Rubio-Briones, J. (författare)
Fdn Inst Valenciano Oncol, Valencia, Spain
Domínguez-Escrig, J. (författare)
Fdn Inst Valenciano Oncol, Valencia, Spain
Bratt, Ola, 1963 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för kliniska vetenskaper,Institute of Clinical Sciences,Gothenburg Univ, Sahlgrenska Acad, Gothenburg, Sweden
Stattin, Pär (författare)
Uppsala universitet,Urologkirurgi
Muir, K. (författare)
Univ Manchester, Dept Publ Hlth & Epidemiol, Manchester, Lancs, England
Lophatananon, A. (författare)
Univ Manchester, Dept Publ Hlth & Epidemiol, Manchester, Lancs, England
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 (creator_code:org_t)
2019-06-02
2019
Engelska.
Ingår i: Bju International. - : Wiley. - 1464-4096 .- 1464-410X. ; 124:5, s. 758-767
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Objectives: To test whether using disease prognosis can inform a rational approach to active surveillance (AS) for early prostate cancer. Patients and methods: We previously developed the Cambridge Prognostics Groups (CPG) classification, a five-tiered model that uses prostate-specific antigen (PSA), Grade Group and Stage to predict cancer survival outcomes. We applied the CPG model to a UK and a Swedish prostate cancer cohort to test differences in prostate cancer mortality (PCM) in men managed conservatively or by upfront treatment in CPG2 and 3 (which subdivides the intermediate-risk classification) vs CPG1 (low-risk). We then applied the CPG model to a contemporary UK AS cohort, which was optimally characterised at baseline for disease burden, to identify predictors of true prognostic progression. Results were re-tested in an external AS cohort from Spain. Results: In a UK cohort (n=3659) the 10-year PCM was 2.3% in CPG1, 1.5%/3.5% in treated/untreated CPG2, and 1.9%/8.6% in treated/untreated CPG3. In the Swedish cohort (n=27942) the10-year PCM was 1.0% in CPG1, 2.2%/2.7% in treated/untreated CPG2, and 6.1%/12.5% in treated/untreated CPG3. We then tested using progression to CPG3 as a hard endpoint in a modern AS cohort (n=133). During follow-up (median 3.5years) only 6% (eight of 133) progressed to CPG3. Predictors of progression were a PSA density ≥0.15ng/mL/mL and CPG2 at diagnosis. Progression occurred in 1%, 8% and 21% of men with neither factor, only one, or both, respectively. In an independent Spanish AS cohort (n=143) the corresponding rates were 3%, 10% and 14%, respectively. Conclusion: Using disease prognosis allows a rational approach to inclusion criteria, discontinuation triggers and risk-stratified management in AS. © 2019 The Authors. BJU International © 2019 BJU International Published by John Wiley & Sons Ltd

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Urologi och njurmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Urology and Nephrology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

#PCSM
#ProstateCancer
Active surveillance
Cambridge Prognostic Groups
Intermediate-risk
Localised prostate cancer
Low-risk
Stratified follow-up
Localised prostate cancer

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