Suppr超能文献

E-钙黏蛋白、β-连环蛋白和细胞周期蛋白 D1 在口腔鳞状细胞癌中的预后意义:组织微阵列研究。

Prognostic significance of E-Cadherin, β-Catenin and cyclin D1 in oral squamous cell carcinoma: a tissue microarray study.

机构信息

Deptartment of Oral and Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, United Arab Emirates.

ENT Department, Tawam Hospital, Al-Ain, United Arab Emirates.

出版信息

Histol Histopathol. 2021 Oct;36(10):1073-1083. doi: 10.14670/HH-18-363. Epub 2021 Jul 26.

Abstract

OBJECTIVE

To study the prognostic significance of E-cadherin, β-catenin, and cyclin D1 expression in oral squamous cell carcinoma.

SUBJECTS AND METHODS

The study included 65 subjects with histologically confirmed squamous cell carcinoma. TMA blocks were prepared for immunohistochemical quantification of the expression of the three markers using IHC profiler and Immune ratio plugin of Image J.

RESULTS

E-cadherin expression was significantly correlated with histological grades and the metastasis status (p<0.05), whereas β-catenin expression was significantly correlated with smoking and tumor recurrence (P<0.05). Cyclin D1 expression was significantly correlated with depth of invasion and tumor recurrence. (p<0.05). Advanced tumor stage and depth of tumor invasion increases the risk of recurrence or death by 2.5 times (OR= 2.53 and 0.84 respectively).

CONCLUSION

High expression of β-Catenin and Cyclin D1 are significantly correlated with tumor recurrence and old age. Depth of invasion, low histological grade and old age were a significant predictor for the risk of having tumor recurrence and cancer related death.

摘要

目的

研究 E-钙黏蛋白、β-连环蛋白和细胞周期蛋白 D1 在口腔鳞状细胞癌中的表达与预后的关系。

方法

本研究纳入了 65 名经组织学证实为鳞状细胞癌的患者。使用免疫组织化学分析和 Image J 中的免疫比插件,制备 TMA 块,对三个标志物的表达进行免疫组织化学定量分析。

结果

E-钙黏蛋白的表达与组织学分级和转移状态显著相关(p<0.05),而β-连环蛋白的表达与吸烟和肿瘤复发显著相关(p<0.05)。Cyclin D1 的表达与浸润深度和肿瘤复发显著相关(p<0.05)。晚期肿瘤分期和肿瘤浸润深度增加复发或死亡的风险 2.5 倍(OR=2.53 和 0.84)。

结论

β-连环蛋白和 Cyclin D1 的高表达与肿瘤复发和年龄较大有关。浸润深度、组织学分级低和年龄较大是肿瘤复发和癌症相关死亡风险的显著预测因素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验