Clinicopathological features and immunophenotype of Silva pattern system in endocervical adenocarcinoma

IF 1.8 4区 医学 Q3 PATHOLOGY International Journal of Experimental Pathology Pub Date : 2023-03-16 DOI:10.1111/iep.12470
Chao Zeng, Jin-ke Wu, Xiaofang Lu
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Abstract

The aim of this study was to investigate the correlation between Silva pattern system and clinicopathological features of endocervical adenocarcinoma. Moreover, it was to find molecular markers helpful for Silva classification, and thus we also explored the expression levels of invasion, adhesion and proliferation biomarkers in cases of Silva non-invasive and invasive types. The survival based on Silva pattern system was analysed by Kaplan–Meier survival analysis, Log-rank test and  a COX risk proportionality model. Sixty samples were chosen to detect the MMP-2, MMP-9, u-PA, E-cadherin, β-catenin, EGF, TGF-α, HDGF, c-Met and RGN expression by immunohistochemistry. Multivariate analysis showed that pattern A/pattern B/pattern C Silva pattern system provided independent risk factors for prognosis. Our results found the levels of MMP-2, MMP-9 and u-PA were significantly higher in endocervical adenocarcinoma with destructive growth than in the  nondestructive group. The levels of E-cadherin and β-catenin were significantly lower in endocervical adenocarcinoma with destructive growth than in the nondestructive group. The levels of EGF, TGF-α and HDGF were significantly higher in endocervical adenocarcinoma with destructive growth than in the nondestructive group. Compared with ‘non-invasive/invasive Silva pattern’, this study suggests ‘pattern A/pattern B/pattern C Silva pattern’ could be a better criteria for predicting the prognosis. Furthermore, the dual-marker combination of ‘MMP-2 and u-PA’ and ‘E-cadherin and β-catenin’ is very important in the diagnosis of Silva pattern classification.

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宫颈内腺癌Silva型系统的临床病理特征及免疫表型分析
本研究的目的是探讨Silva模式系统与宫颈内腺癌临床病理特征的关系。此外,为了寻找有助于Silva分类的分子标志物,我们还探讨了侵袭性、粘附性和增殖性生物标志物在Silva非侵袭型和侵袭型病例中的表达水平。采用Kaplan-Meier生存分析、Log-rank检验和COX风险比例模型分析基于Silva模式系统的生存率。选择60个样本,采用免疫组化方法检测MMP-2、MMP-9、u-PA、E-cadherin、β-catenin、EGF、TGF-α、HDGF、c-Met和RGN的表达。多因素分析显示A型/ B型/ C型席尔瓦型系统是影响预后的独立危险因素。我们的研究结果发现MMP-2、MMP-9和u-PA水平在破坏性生长的宫颈内膜腺癌中明显高于非破坏性组。E-cadherin和β-catenin水平在宫颈腺癌破坏性生长组明显低于非破坏性生长组。破坏性宫颈腺癌组织中EGF、TGF-α、HDGF水平明显高于非破坏性宫颈腺癌组织。与“非侵入性/侵入性Silva模式”相比,本研究表明“A型/ B型/ C型Silva模式”可能是预测预后的更好标准。此外,“MMP-2与u-PA”和“E-cadherin与β-catenin”的双标记组合在Silva型分型诊断中具有重要意义。
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来源期刊
CiteScore
4.50
自引率
3.30%
发文量
35
审稿时长
>12 weeks
期刊介绍: Experimental Pathology encompasses the use of multidisciplinary scientific techniques to investigate the pathogenesis and progression of pathologic processes. The International Journal of Experimental Pathology - IJEP - publishes papers which afford new and imaginative insights into the basic mechanisms underlying human disease, including in vitro work, animal models, and clinical research. Aiming to report on work that addresses the common theme of mechanism at a cellular and molecular level, IJEP publishes both original experimental investigations and review articles. Recent themes for review series have covered topics as diverse as "Viruses and Cancer", "Granulomatous Diseases", "Stem cells" and "Cardiovascular Pathology".
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