Department of Pathology, Hasheminejad Kidney Center, Iran University of Medical Sciences, Tehran, Iran.
Department of Molecular Medicine, Oncopathology Research Center, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Asian Pac J Cancer Prev. 2023 Sep 1;24(9):3125-3131. doi: 10.31557/APJCP.2023.24.9.3125.
The aim of this study was to investigate the association between the overexpression of tumor protein (P53), cytokeratin 20 (CK20), fibroblast growth factor receptor 3 (FGFR3), biomarkers and the grading, prognosis, heterogeneity, and relapse tendency of urothelial cell carcinomas (UCCs) of the bladder.
A cross-sectional study was conducted using 413 samples of Iranian patients diagnosed with UCC of the bladder. The tissue microarray technique was used to evaluate the patterns of tumor tissue. Two pathologists scored tissue staining using a semi-quantitative scoring system.
The results showed that P53 was a predictor of a high-grade pattern (the area under the curve (AUC)=0.620) with a best cut-off value of 95.0 using the receiver operating characteristic (ROC) curve. CK20 was another predictor of a high-grade pattern (AUC=0.745) with a best cut-off value of 15. However, the overexpression of both biomarkers was not associated with a heterogeneous pattern and could not predict tumor-associated death or relapse. The heterogeneous (odds ratio (OR)=4.535, p-value=0.001) and non-papillary (OR= 6.363, p-value= 0.001) patterns were effective predictors of tumor recurrence among all baseline variables, including patient and tumor characteristics. FGFR3 was positive in all specimens and was not a valuable biomarker for differentiating patterns. None of the variables predicted tumor prognosis.
The study findings indicate that the intensity and percentage of cell staining for P53 and CK20 in the UCC of the bladder can aid in differentiating the grading patterns. The tendency of tumor relapse can be predicted by demonstrating heterogeneous and non-papillary patterns.
本研究旨在探讨肿瘤蛋白(P53)、细胞角蛋白 20(CK20)、成纤维细胞生长因子受体 3(FGFR3)过表达与膀胱尿路上皮细胞癌(UCC)分级、预后、异质性和复发倾向之间的关系。
采用伊朗 413 例膀胱 UCC 患者的病例对照研究。应用组织微阵列技术评估肿瘤组织模式。两位病理学家使用半定量评分系统对组织染色进行评分。
结果显示,P53 是高级别模式的预测因子(曲线下面积(AUC)=0.620),使用 ROC 曲线的最佳截断值为 95.0。CK20 是高级别模式的另一个预测因子(AUC=0.745),最佳截断值为 15。然而,两种生物标志物的过表达与异质性模式无关,不能预测肿瘤相关死亡或复发。异质性(比值比(OR)=4.535,p 值=0.001)和非乳头状(OR=6.363,p 值=0.001)模式是所有基线变量中肿瘤复发的有效预测因子,包括患者和肿瘤特征。FGFR3 在所有标本中均为阳性,不是区分模式的有价值的生物标志物。没有变量预测肿瘤预后。
研究结果表明,膀胱 UCC 中 P53 和 CK20 的细胞染色强度和百分比有助于区分分级模式。表现出异质性和非乳头状模式可预测肿瘤复发倾向。