These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Clinicopathological features and immunophenotype of Silva pattern system in endocervical adenocarcinoma.
    Author: Zeng C, Wu JK, Lu X.
    Journal: Int J Exp Pathol; 2023 Jun; 104(3):140-150. PubMed ID: 36928883.
    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.
    [Abstract] [Full Text] [Related] [New Search]