Modified J-CAPRA scoring system in predicting treatment outcomes of metastatic prostate cancer patients undergoing androgen deprivation therapy.
Jasmine LimShiro HinotsuMizuki OnozawaRohan MalekMurali SundramGuan C TehTeng-Aik OngShankaran ThevarajahRohana ZainalSay C KhooShamsuddin OmarNoor A NasuhaHideyuki AkazaPublished in: Cancer medicine (2020)
The J-CAPRA score is an assessment tool which stratifies risk and predicts outcome of primary androgen deprivation therapy (ADT) using prostate-specific antigen, Gleason score, and clinical TNM staging. Here, we aimed to assess the generalisability of this tool in multi-ethnic Asians. Performance of J-CAPRA was evaluated in 782 Malaysian and 16,946 Japanese patients undergoing ADT from the Malaysian Study Group of Prostate Cancer (M-CaP) and Japan Study Group of Prostate Cancer (J-CaP) databases, respectively. Using the original J-CAPRA, 69.6% metastatic (M1) cases without T and/or N staging were stratified as intermediate-risk disease in the M-CaP database. To address this, we first omitted clinical T and N stage variables, and calculated the score on a 0-8 scale in the modified J-CAPRA scoring system for M1 patients. Notably, treatment decisions of M1 cases were not directly affected by both T and N staging. The J-CAPRA score threshold was adjusted for intermediate (modified J-CAPRA score 3-5) and high-risk (modified J-CAPRA score ≥6) groups in M1 patients. Using J-CaP database, validation analysis showed that overall survival, prostate cancer-specific survival, and progression-free survival of modified intermediate and high-risk groups were comparable to those of original J-CAPRA (p > 0.05) with Cohen's coefficient of 0.65. Around 88% M1 cases from M-CaP database were reclassified into high-risk category. Modified J-CAPRA scoring system is instrumental in risk assessment and treatment outcome prediction for M1 patients without T and/or N staging.
Keyphrases
- prostate cancer
- end stage renal disease
- radical prostatectomy
- patients undergoing
- ejection fraction
- newly diagnosed
- risk assessment
- free survival
- chronic kidney disease
- lymph node
- squamous cell carcinoma
- peritoneal dialysis
- prognostic factors
- emergency department
- stem cells
- computed tomography
- magnetic resonance imaging
- pet ct
- artificial intelligence
- deep learning
- adverse drug
- climate change
- replacement therapy