An immunohistochemical scoring system of prolyl isomerase Pin1 for predicting relapse of prostate carcinoma after radical prostatectomy
An immunohistochemical scoring system of prolyl isomerase Pin1 for predicting relapse of prostate carcinoma after radical prostatectomy
复制标题
DOI：
10.1016/j.prp.2005.12.007
复制
发表时间：
2006-01-01
影响因子：
2.8
通讯作者：
Aoki, Ichiro
中科院分区：
文献类型：
--
作者：
Sasaki, Takeshi;Ryo, Akihide;Aoki, Ichiro
前列腺癌（PCa）患者治疗的一个主要挑战是预测根治性前列腺切除术后的临床病程。先前使用自动图像分析仪进行的全面免疫组织化学分析表明，脯氨酸异构酶Pin1（因此Pin1）可能是PCa患者复发的有效预测因子。然而，评估前列腺癌中Pin1免疫组织化学的详细病理标准尚未建立。我们在此介绍一种实用的前列腺癌Pin1免疫染色评分系统。采用该方法分别对肿瘤细胞质和细胞核的免疫反应性进行评价，评分为4个等级（0-3级）。我们将Pin1评分定义为细胞核和细胞质评分的总和（评分= 0-6），然后将病例分为低Pin1评分组（评分= 3）。我们研究了该评分系统与78例PCa患者术后PSA复发的相关性。Pin1评分高组PCa患者的PSA复发频率高于Pin1评分低组（p < 0.0001）。这表明，在普通实验室水平上，我们的Pin1评分系统可以成为预测PCa患者术后预后的有用工具。(c) 2006 Elsevier GmbH版权所有。
A major challenge for the management of prostate cancer (PCa) patients is to predict the clinical course of the disease after radical prostatectomy. A previous comprehensive immunohistochemical analysis using an automated image analyzer suggested that prolyl isomerase Pin1 (hence Pin1) may be a potent predictor of recurrence in PCa patients. However, a detailed pathological standard for evaluating the Pin1 immunohistochemistry in PCa has not been established yet. We here introduce a practical scoring system for Pin1 immunostaining in PCa. Using this method, the immunoreactivity of tumor cell cytoplasm and nucleus was evaluated separately and then scored for four grades (Grade = 0-3). We defined the Pin1 score as the sum of both nuclear and cytoplasmic grades (Score = 0-6), and the cases were then divided into either a low Pin1 score group (= 3). We examined the correlation between this scoring system and postoperative PSA recurrence for 78 PCa patients. PCa patients assigned to the high Pin1 score group demonstrated PSA relapse more frequently than those assigned to the low Pin1 score group (p < 0.0001). This suggests that, at the common laboratory level, our Pin1 scoring system could be a useful tool for predicting the prognosis of PCa patients after surgery. (c) 2006 Elsevier GmbH. All rights reserved.