Steuber Thomas, Vickers Andrew J, Haese Alexander, Becker Charlotte, Pettersson Kim, Chun Felix K-H, Kattan Michael W, Eastham James A, Scardino Peter T, Huland Hartwig, Lilja Hans
Department of Urology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Int J Cancer. 2006 Mar 1;118(5):1234-40. doi: 10.1002/ijc.21474.
Most models to predict biochemical recurrence (BCR) of prostate cancer use pretreatment serum prostate-specific antigen (PSA), clinical stage and prostate biopsy Gleason grade. We investigated whether human glandular kallikrein 2 (hK2) and free prostate-specific antigen (fPSA) measured in pretreatment serum enhance prediction. We retrospectively measured total PSA (tPSA), fPSA and hK2 in preoperative serum samples from 461 men with localized prostate cancer treated with radical prostatectomy between 1999 and 2001. We developed a regression model to predict BCR using preoperative tPSA, clinical stage and biopsy Gleason grade. We then compared the predictive accuracy of this "base" model with a model with fPSA and hK2 as additional predictors. BCR was observed in 90 patients (20%), including 48 patients with a pretreatment tPSA < or = 14 ng/ml (13%), and 28 patients (10%) with a pretreatment tPSA < or = 10 ng/ml. Overall, the predictive accuracy of the base model (bootstrap-corrected concordance index of 0.813) was not improved after the addition of fPSA or hK2 (0.818). However, for men with moderate tPSA-elevation (tPSA < or = 10 ng/ml), addition of fPSA and hK2 data increased predictive accuracy (from a base model concordance index of 0.756-0.815, p = 0.005). The improvement in accuracy was not sensitive to the threshold for "moderately elevated" PSA. For patients with a moderate tPSA-elevation (tPSA < or = 10 ng/ml), which closely corresponds to concurrent disease demographics, BCR-prediction was enhanced when fPSA and hK2 were added to the conventional model. Measurements of fPSA and hK2 improve on our ability to counsel patients prior to treatment as to their risk of BCR.
大多数预测前列腺癌生化复发(BCR)的模型采用治疗前血清前列腺特异性抗原(PSA)、临床分期和前列腺活检 Gleason 分级。我们研究了在治疗前血清中检测的人腺体激肽释放酶 2(hK2)和游离前列腺特异性抗原(fPSA)是否能增强预测能力。我们回顾性检测了 1999 年至 2001 年间接受根治性前列腺切除术的 461 例局限性前列腺癌男性患者术前血清样本中的总 PSA(tPSA)、fPSA 和 hK2。我们开发了一个回归模型,使用术前 tPSA、临床分期和活检 Gleason 分级来预测 BCR。然后,我们将这个“基础”模型的预测准确性与一个将 fPSA 和 hK2 作为额外预测指标的模型进行了比较。90 例患者(20%)出现了 BCR,其中包括 48 例治疗前 tPSA≤14 ng/ml 的患者(13%)和 28 例治疗前 tPSA≤10 ng/ml 的患者(10%)。总体而言,添加 fPSA 或 hK2 后,基础模型的预测准确性(自举校正一致性指数为 0.813)并未提高(0.818)。然而,对于 tPSA 中度升高(tPSA≤10 ng/ml)的男性,添加 fPSA 和 hK2 数据可提高预测准确性(从基础模型一致性指数 0.756 提高到 0.815,p = 0.005)。准确性的提高对“中度升高”PSA 的阈值不敏感。对于 tPSA 中度升高(tPSA≤10 ng/ml)且与并发疾病人口统计学密切相关的患者,将 fPSA 和 hK2 添加到传统模型中可增强 BCR 预测。fPSA 和 hK2 的检测提高了我们在治疗前为患者提供关于其 BCR 风险咨询的能力。