Ferro Matteo, Musi Gennaro, Matei Deliu Victor, Mistretta Alessandro Francesco, Luzzago Stefano, Cozzi Gabriele, Bianchi Roberto, Di Trapani Ettore, Cioffi Antonio, Lucarelli Giuseppe, Busetto Gian Maria, Del Giudice Francesco, Russo Giorgio Ivan, Di Mauro Marina, Porreca Angelo, Renne Giuseppe, Catellani Michele, Bottero Danilo, Brescia Antonio, Cordima Giovanni, de Cobelli Ottavio
Department of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy.
Department of Emergency and Organ Transplantation, Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy.
Diagnostics (Basel). 2021 Feb 20;11(2):355. doi: 10.3390/diagnostics11020355.
circulating levels of lymphocytes, platelets and neutrophils have been identified as factors related to unfavorable clinical outcome for many solid tumors. The aim of this cohort study is to evaluate and validate the use of the Prostatic Systemic Inflammatory Markers (PSIM) score in predicting and improving the detection of clinically significant prostate cancer (csPCa) in men undergoing robotic radical prostatectomy for low-risk prostate cancer who met the inclusion criteria for active surveillance.
we reviewed the medical records of 260 patients who fulfilled the inclusion criteria for active surveillance. We performed a head-to-head comparison between the histological findings of specimens after radical prostatectomy (RP) and prostate biopsies. The PSIM score was calculated on the basis of positivity according to cutoffs (neutrophil-to-lymphocyte ratio (NLR) 2.0, platelets-to-lymphocyte ratio (PLR) 118 and monocyte-to-lymphocyte-ratio (MLR) 5.0), with 1 point assigned for each value exceeding the specified threshold and then summed, yielding a final score ranging from 0 to 3.
median NLR was 2.07, median PLR was 114.83, median MLR was 3.69.
we found a significantly increase in the rate of pathological International Society of Urological Pathology (ISUP) ≥ 2 with the increase of PSIM. At the multivariate logistic regression analysis adjusted for age, prostate specific antigen (PSA), PSA density, prostate volume and PSIM, the latter was found the sole independent prognostic variable influencing probability of adverse pathology.
淋巴细胞、血小板和中性粒细胞的循环水平已被确定为与许多实体瘤不良临床结局相关的因素。本队列研究的目的是评估和验证前列腺全身炎症标志物(PSIM)评分在预测和改善对符合主动监测纳入标准的低风险前列腺癌患者进行机器人根治性前列腺切除术时临床显著前列腺癌(csPCa)检测中的应用。
我们回顾了260例符合主动监测纳入标准患者的病历。我们对根治性前列腺切除术(RP)后标本与前列腺活检的组织学结果进行了直接比较。根据临界值(中性粒细胞与淋巴细胞比率(NLR)2.0、血小板与淋巴细胞比率(PLR)118和单核细胞与淋巴细胞比率(MLR)5.0)的阳性情况计算PSIM评分,每个超过指定阈值的值计1分,然后求和,得出最终评分范围为0至3分。
NLR中位数为2.07,PLR中位数为114.83,MLR中位数为3.69。
我们发现随着PSIM的增加,病理国际泌尿病理学会(ISUP)≥2级的发生率显著增加。在对年龄、前列腺特异性抗原(PSA)、PSA密度、前列腺体积和PSIM进行校正的多因素逻辑回归分析中,发现后者是影响不良病理概率的唯一独立预后变量。