Suppr超能文献

垂体腺瘤中EpCAM和Trop2的过表达。

Overexpression of EpCAM and Trop2 in pituitary adenomas.

作者信息

Chen Xin, Pang Bo, Liang Yu, Xu Shang-Chen, Xin Tao, Fan Hai-Tao, Yu Yan-Bing, Pang Qi

机构信息

Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong University Jinan 250021, P. R. China ; Shandong University School of Medicine Jinan 250012, P. R. China.

Shandong University School of Medicine Jinan 250012, P. R. China.

出版信息

Int J Clin Exp Pathol. 2014 Oct 15;7(11):7907-14. eCollection 2014.

Abstract

We sought to investigate the expression of EpCAM and Trop2 in Pituitary adenomas (PAs) and study the correlation of protein expression with invasiveness, proliferation, clinical functioning, recurrence/progression, and some other factors. We investigated the expression of EpCAM and Trop2 in 74 samples of PAs by immunohistochemistry and made correlative analysis of protein overexpression with clinicopathological parameters. Follow-up data was analyzed for recurrence/progression with Kaplan-Meier method and Multivariate Cox regression analysis. Immunohistochemistry results showed that overexpression rates of EpCAM and Trop2 were 51/74 (68.9%) and 43/74 (58.1%), respectively. For both EpCAM and Trop2, PAs with invasiveness showed a higher overexpression rate than PAs without invasiveness (PEpCAM = 0.001; PTrop2 = 0.006). Nonfunctional Pituitary adenomas (NFPAs) demonstrated a higher EpCAM overexpression than functional Pituitary adenomas (FPAs) (P = 0.026). Both EpCAM and Trop2 overexpression correlated significantly with expression of proliferation factor Ki-67 (PEpCAM = 0.011; PTrop2 = 0.000), but not with gender and age. Follow-up analysis revealed that Trop2 overexpression was a significantly predictive factor for recurrence/progression by means of Kaplan-Meier method d (P = 0.028) and Multivariate Cox regression analysis (P = 0.025). This study reveals that both EpCAM and Trop2 overexpression in PAs correlate significantly with invasiveness and proliferation. EpCAM presents a potential target for differential diagnosis and immunotherapy for NFPAs. Follow-up analysis shows that Trop2 is a predictive factor for recurrence/progression for PAs.

摘要

我们旨在研究垂体腺瘤(PA)中上皮细胞黏附分子(EpCAM)和滋养层细胞表面抗原2(Trop2)的表达情况,并探讨蛋白表达与侵袭性、增殖、临床功能、复发/进展及其他一些因素之间的相关性。我们采用免疫组织化学方法检测了74例PA样本中EpCAM和Trop2的表达,并对蛋白过表达与临床病理参数进行了相关分析。采用Kaplan-Meier法和多变量Cox回归分析对随访数据进行复发/进展分析。免疫组织化学结果显示,EpCAM和Trop2的过表达率分别为51/74(68.9%)和43/74(58.1%)。对于EpCAM和Trop2,具有侵袭性的PA的过表达率均高于无侵袭性的PA(EpCAM:P = 0.001;Trop2:P = 0.006)。无功能垂体腺瘤(NFPA)的EpCAM过表达率高于功能性垂体腺瘤(FPA)(P = 0.026)。EpCAM和Trop2的过表达均与增殖因子Ki-67的表达显著相关(EpCAM:P = 0.011;Trop2:P = 0.000),但与性别和年龄无关。随访分析显示,通过Kaplan-Meier法(P = 0.028)和多变量Cox回归分析(P = 0.025),Trop2过表达是复发/进展的显著预测因素。本研究表明,PA中EpCAM和Trop2的过表达均与侵袭性和增殖显著相关。EpCAM是NFPA鉴别诊断和免疫治疗的潜在靶点。随访分析表明,Trop2是PA复发/进展的预测因素。

相似文献

1
Overexpression of EpCAM and Trop2 in pituitary adenomas.垂体腺瘤中EpCAM和Trop2的过表达。
Int J Clin Exp Pathol. 2014 Oct 15;7(11):7907-14. eCollection 2014.
10
TROP2 overexpression promotes proliferation and invasion of lung adenocarcinoma cells.TROP2过表达促进肺腺癌细胞的增殖和侵袭。
Biochem Biophys Res Commun. 2016 Jan 29;470(1):197-204. doi: 10.1016/j.bbrc.2016.01.032. Epub 2016 Jan 8.

引用本文的文献

4
The prospective roles of exosomes in pituitary tumors.外泌体在垂体肿瘤中的潜在作用。
Front Endocrinol (Lausanne). 2024 Nov 22;15:1482756. doi: 10.3389/fendo.2024.1482756. eCollection 2024.

本文引用的文献

1
The molecular pathogenesis of pituitary adenomas: an update.垂体腺瘤的分子发病机制:最新研究进展。
Endocrinol Metab (Seoul). 2013 Dec;28(4):245-54. doi: 10.3803/EnM.2013.28.4.245.
5
Biomarkers of aggressive pituitary adenomas.侵袭性垂体腺瘤的生物标志物。
J Mol Endocrinol. 2012 Aug 30;49(2):R69-78. doi: 10.1530/JME-12-0113. Print 2012 Oct.
6
The Trop-2 signalling network in cancer growth.癌症生长中的 Trop-2 信号网络。
Oncogene. 2013 Mar 21;32(12):1594-600. doi: 10.1038/onc.2012.151. Epub 2012 May 7.
9
EpCAM expression is an indicator of recurrence in basal-like breast cancer.EPCAM 表达是基底样乳腺癌复发的一个指标。
Breast Cancer Res Treat. 2012 Jun;133(2):575-82. doi: 10.1007/s10549-011-1813-7. Epub 2011 Oct 15.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验