Kim Jun Yong, Lee Jae Seok, Han Dohyun, Nikas Ilias P, Kim Hyeyoon, Jung Minsun, Ryu Han Suk
Department of Pathology, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
Department of Pathology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, 51353, Republic of Korea.
Heliyon. 2024 Jul 30;10(15):e35475. doi: 10.1016/j.heliyon.2024.e35475. eCollection 2024 Aug 15.
The accurate diagnosis of papillary urothelial carcinoma (PUC) is frequently challenging due to benign mimickers. Other than morphology-based diagnostic criteria, reliable biomarkers for differentiating benign and malignant papillary urothelial neoplasms remain elusive, so we sought to discover new markers to address this challenge. We first performed tandem mass spectrometry-based quantitative proteomics using diverse papillary urothelial lesions, including PUC, urothelial papilloma (UP), inverted urothelial papilloma, and cystitis cystica. We prioritized potential diagnostic biomarkers using machine learning, and subsequently validated through immunohistochemistry (IHC) in two independent cohorts. Metabolism, transport, cell cycle, development, and immune response functions were differentially enriched between malignant and benign papillary neoplasms. RhoB and NT5DC2 were shortlisted as optimal candidate markers for PUC diagnosis. In our pilot study using IHC, NT5DC2 was subsequently selected as its expression consistently differed in PUC (p = 0.007). Further validation of NT5DC2 using 49 low-grade (LG) urothelial lesions, including 15 LG-PUCs and 17 UPs, which are the most common mimickers, concordantly revealed lower IHC expression levels in LG-PUC (p = 0.0298). Independent external validation with eight LG-PUCs and eight UPs confirmed the significant downregulation of NT5DC2 in LG-PUC (p = 0.0104). We suggest that NT5DC2 is a potential IHC biomarker for differentiating LG-PUC from its benign mimickers, especially UP.
由于存在良性模仿病变,准确诊断乳头状尿路上皮癌(PUC)常常具有挑战性。除了基于形态学的诊断标准外,用于区分良性和恶性乳头状尿路上皮肿瘤的可靠生物标志物仍然难以捉摸,因此我们试图发现新的标志物来应对这一挑战。我们首先使用串联质谱定量蛋白质组学方法,对包括PUC、尿路上皮乳头状瘤(UP)、内翻性尿路上皮乳头状瘤和囊性膀胱炎在内的多种乳头状尿路上皮病变进行了研究。我们利用机器学习对潜在的诊断生物标志物进行了优先级排序,随后在两个独立队列中通过免疫组织化学(IHC)进行了验证。恶性和良性乳头状肿瘤之间,代谢、转运、细胞周期、发育和免疫反应功能存在差异富集。RhoB和NT5DC2被列为PUC诊断的最佳候选标志物。在我们使用IHC的初步研究中,随后选择了NT5DC2,因为其在PUC中的表达始终存在差异(p = 0.007)。使用49例低级别(LG)尿路上皮病变,包括15例LG-PUC和17例UP(最常见的模仿病变)对NT5DC2进行进一步验证,结果一致显示LG-PUC中IHC表达水平较低(p = 0.0298)。对8例LG-PUC和8例UP进行独立外部验证,证实LG-PUC中NT5DC2显著下调(p = 0.0104)。我们认为,NT5DC2是一种潜在的IHC生物标志物,可用于区分LG-PUC与其良性模仿病变,尤其是UP。