Biochemical Recurrence in Prostate Cancer: The European Association of Urology Prostate Cancer Guidelines Panel Recommendations

Publication

Biochemical Recurrence in Prostate Cancer: The European Association of Urology Prostate Cancer Guidelines Panel Recommendations

Journal Paper/Review - Jun 24, 2019

Van den Broeck Thomas, Liew Matthew, Mason Malcolm, Moris Lisa, Schoots Ivo G, van der Kwast Theodorus, van der Poel Henk, Wiegel Thomas, Willemse Peter-Paul M, Rouvière Olivier, Lam Thomas B, Lardas Michael, Henry Ann M, van den Bergh Roderick C N, Briers Erik, Cornford Philip, Cumberbatch Marcus, Tilki Derya, De Santis Maria, Fanti Stefano, Fossati Nicola, Gillessen Sommer Silke, Grummet Jeremy P, Mottet Nicolas

Citation

Van den Broeck T, Liew M, Mason M, Moris L, Schoots I, van der Kwast T, van der Poel H, Wiegel T, Willemse P, Rouvière O, Lam T, Lardas M, Henry A, van den Bergh R, Briers E, Cornford P, Cumberbatch M, Tilki D, De Santis M, Fanti S, Fossati N, Gillessen Sommer S, Grummet J, Mottet N. Biochemical Recurrence in Prostate Cancer: The European Association of Urology Prostate Cancer Guidelines Panel Recommendations. Eur Urol Focus 2019

Type

Journal Paper/Review (English)

Journal

Eur Urol Focus 2019

Publication Date

Jun 24, 2019

Issn Electronic

2405-4569

Brief description/objective

Biochemical recurrence (BCR) after primary treatment of localized prostate cancer does not necessarily lead to clinically apparent progressive disease. To aid in prognostication, the European Association of Urology prostate cancer guidelines panel undertook a systematic review and successfully developed a novel BCR risk stratification system (groups with a low risk or high risk of BCR) based on disease and prostate-specific antigen characteristics. PATIENT SUMMARY: Following treatment to cure prostate cancer, some patients can develop recurrence of disease identified via a prostate-specific antigen blood test (ie, biochemical recurrence, or BCR). However, not every man who experiences BCR develops progressive disease (symptoms or evidence of disease progression on imaging). We conducted a review of the literature and developed a classification system for predicting which patients might progress to optimize treatment decisions.