Kamecki Hubert, Mielczarek Łukasz, Szempliński Stanisław, Dębowska Małgorzata, Rajwa Paweł, Baboudjian Michael, Klemm Jakob, Rivas Juan Gómez, Modzelewska Elza, Tayara Omar, Malewski Wojciech, Szostek Przemysław, Poletajew Sławomir, Kryst Piotr, Sosnowski Roman, Nyk Łukasz
Second Department of Urology, Centre of Postgraduate Medical Education, 01-809 Warsaw, Poland.
Nałęcz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, 02-109 Warsaw, Poland.
Cancers (Basel). 2023 Nov 17;15(22):5462. doi: 10.3390/cancers15225462.
Data on Gleason pattern 4 (GP4) amount in biopsy tissue is important for prostate cancer (PC) risk assessment. We aim to investigate which GP4 quantification method predicts adverse pathology (AP) at radical prostatectomy (RP) the best in men diagnosed with intermediate-risk (IR) PC at magnetic resonance imaging (MRI)-guided biopsy.
We retrospectively included 123 patients diagnosed with IR PC (prostate-specific antigen <20 ng/mL, grade group (GG) 2 or 3, no iT3 on MRI) at MRI-guided biopsy, who underwent RP. Twelve GP4 amount-related parameters were developed, based on GP4 quantification method (absolute, relative to core, or cancer length) and site (overall, targeted, systematic biopsy, or worst specimen). Additionally, we calculated PV×GP4 (prostate volume × GP4 relative to core length in overall biopsy), aiming to represent the total GP4 volume in the prostate. The associations of GP4 with AP (GG ≥ 4, ≥pT3a, or pN1) were investigated.
AP was reported in 39 (31.7%) of patients. GP4 relative to cancer length was not associated with AP. Of the 12 parameters, the highest ROC AUC value was seen for GP4 relative to core length in overall biopsy (0.65). an even higher AUC value was noted for PV × GP4 (0.67), with a negative predictive value of 82.8% at the optimal threshold.
The lack of an association of GP4 relative to cancer length with AP, contrasted with the better performance of other parameters, indicates directions for future research on PC risk stratification to accurately identify patients who may not require immediate treatment. Incorporating formulas aimed at GP4 volume assessment may lead to obtaining models with the best discrimination ability.
活检组织中 Gleason 4 级(GP4)数量的数据对于前列腺癌(PC)风险评估至关重要。我们旨在研究在磁共振成像(MRI)引导下活检诊断为中危(IR)PC 的男性中,哪种 GP4 定量方法对根治性前列腺切除术(RP)时的不良病理结果(AP)预测效果最佳。
我们回顾性纳入了 123 例在 MRI 引导下活检诊断为 IR PC(前列腺特异性抗原<20 ng/mL,分级组(GG)为 2 或 3,MRI 上无 iT3)且接受了 RP 的患者。基于 GP4 定量方法(绝对、相对于核心或癌长度)和部位(总体、靶向、系统活检或最差标本)制定了 12 个与 GP4 数量相关的参数。此外,我们计算了 PV×GP4(前列腺体积×总体活检中相对于核心长度的 GP4),旨在代表前列腺中的总 GP4 体积。研究了 GP4 与 AP(GG≥4、≥pT3a 或 pN1)的相关性。
39 例(31.7%)患者报告有 AP。相对于癌长度的 GP4 与 AP 无关。在这 12 个参数中,总体活检中相对于核心长度的 GP4 的 ROC AUC 值最高(0.65)。PV×GP4 的 AUC 值更高(0.67),在最佳阈值下阴性预测值为 82.8%。
相对于癌长度的 GP4 与 AP 缺乏相关性,与其他参数的较好表现形成对比,这为未来 PC 风险分层研究指明了方向,以准确识别可能不需要立即治疗的患者。纳入旨在评估 GP4 体积的公式可能会得到具有最佳鉴别能力的模型。