文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

GLI1和Shh在卵巢子宫内膜异位症恶变中的表达及意义

[Expression and significance of GLI1 and Shh in the malignant transformation of ovarian endometriosis].

作者信息

Zhao F, Yu X P, Zhao H, Song B B, Lyu A W, Zhang S H, Wang L M

机构信息

Department of Gynecology, Qingdao University Affiliated Hospital, Qingdao 266003, China.

Department of Gynecology, Shandong Weihai Women's and Children's Hospital, Weihai 264299, China.

出版信息

Zhonghua Fu Chan Ke Za Zhi. 2022 Feb 25;57(2):125-132. doi: 10.3760/cma.j.cn112141-20211219-00736.


DOI:10.3760/cma.j.cn112141-20211219-00736
PMID:35184473
Abstract

To investigate the expression levels and clinical significance of glioma-associated oncogene homolog 1 (GLI1) and sonic hedgehog signaling molecule (Shh) in the malignant transformation of ovarian endometriosis (EM). The expressions of GLI1 and Shh were detected by real-time reverse transcription (RT)-polymerase chain reaction (PCR) and EnVision method in 50 cases of ovarian EM tissues, 35 cases of atypical endometriosis (aEM) and 50 cases of endometriosis-associated ovarian cancer (EAOC). The expression differences of two molecular markers in the malignant transformation of ovarian EM were compared, and the relationships between two molecular markers and the clinicopathological features and prognosis of EAOC were analyzed. (1) RT-PCR showed that the expression levels of GLI1 mRNA in EM, aEM and EAOC group were 1.77±0.40, 3.54±0.44, and 7.80±0.24, respectively. The expression levels of Shh mRNA were 0.95±0.21, 3.14±0.35, and 5.41±0.31, respectively. GLI1 and Shh mRNA in EAOC group were significantly higher than those in EM and aEM group (all <0.01), and there were statistically significant differences between EM and aEM group (all <0.01). The percentages of GLI1 in ovarian EM, aEM and EAOC were 32% (16/50), 57% (20/35), and 66% (33/50), respectively, meanwhile, the positive expression rates of Shh were 20% (10/50), 49% (17/35), and 54% (27/50), respectively (all <0.01). GLI1 mRNA expression was positively correlated with Shh mRNA expression in EAOC tissues (=0.721, <0.01). The expressions of GLI1 protein were proportionated to Shh protein in EAOC tissues (=0.608,=0.001). (2) The expression of GLI1 was significantly related to the International Federation of Gynecology and Obstetrics (FIGO) stage, cancer antigen 125 (CA) levels, lymph node metastasis, and Platinum resistance in EAOC patients (all <0.05). The expression of Shh were related to FIGO stage and lymph node metastasis in EAOC patients (all <0.05). Logistic regression analysis showed that GLI1 expression was an independent risk factor for poor prognosis in EAOC patients (<0.05). Kaplan-meier survival analysis showed that the overall survival rate of EAOC patients with high GLI1 expression and low GLI1 expression was 12.1% and 35.3%, respectively, with statistical significance (²=10.73, <0.01). The overall survival rate of EAOC patients with high and low expression of Shh protein was 11.1% and 30.4%, in which there was statistically significant difference (²=3.96, =0.047). GLI1 and Shh are highly associated with the malignant transformation of ovarian EM, which may play a role in promoting malignant degeneration of ovarian EM, and the high expression of GLI1 and Shh indicates a poor prognosis in EAOC patients.

摘要

探讨胶质瘤相关癌基因同源物1(GLI1)和音猬因子信号分子(Shh)在卵巢子宫内膜异位症(EM)恶变中的表达水平及临床意义。采用实时逆转录(RT)-聚合酶链反应(PCR)和EnVision法检测50例卵巢EM组织、35例不典型子宫内膜异位症(aEM)及50例子宫内膜异位症相关卵巢癌(EAOC)中GLI1和Shh的表达。比较两种分子标志物在卵巢EM恶变中的表达差异,并分析其与EAOC临床病理特征及预后的关系。(1)RT-PCR结果显示,EM组、aEM组及EAOC组GLI1 mRNA表达水平分别为1.77±0.40、3.54±0.44及7.80±0.24。Shh mRNA表达水平分别为0.95±0.21、3.14±0.35及5.41±0.31。EAOC组GLI1和Shh mRNA表达均显著高于EM组及aEM组(均P<0.01),EM组与aEM组比较差异也有统计学意义(均P<0.01)。卵巢EM、aEM及EAOC中GLI1阳性率分别为32%(16/50)、57%(20/35)及66%(33/50),Shh阳性表达率分别为20%(10/50)、49%(17/35)及54%(27/50)(均P<0.01)。EAOC组织中GLI1 mRNA表达与Shh mRNA表达呈正相关(r=0.721,P<0.01)。EAOC组织中GLI1蛋白表达与Shh蛋白表达成比例(r=0.608,P=0.001)。(2)EAOC患者中GLI1表达与国际妇产科联盟(FIGO)分期、癌抗原125(CA)水平、淋巴结转移及铂耐药均显著相关(均P<0.05)。Shh表达与EAOC患者FIGO分期及淋巴结转移相关(均P<0.05)。Logistic回归分析显示,GLI1表达是EAOC患者预后不良的独立危险因素(P<0.05)。Kaplan-Meier生存分析显示,GLI1高表达与低表达的EAOC患者总生存率分别为12.1%和35.3%,差异有统计学意义(χ²=10.73,P<0.01)。Shh蛋白高表达与低表达的EAOC患者总生存率分别为11.1%和30.4%,差异有统计学意义(χ²=3.96,P=0.047)。GLI1和Shh与卵巢EM恶变高度相关,可能在促进卵巢EM恶变中起作用,且GLI1和Shh高表达提示EAOC患者预后不良。

相似文献

[1]
[Expression and significance of GLI1 and Shh in the malignant transformation of ovarian endometriosis].

Zhonghua Fu Chan Ke Za Zhi. 2022-2-25

[2]
[Epigenetic inactivation of SPOCK2 in the malignant transformation of ovarian endometriosis].

Zhonghua Fu Chan Ke Za Zhi. 2011-11

[3]
RUNX3 is inactivated by promoter hypermethylation in malignant transformation of ovarian endometriosis.

Oncol Rep. 2014-10-3

[4]
The effects of sonic hedgehog signaling pathway components on non-small-cell lung cancer progression and clinical outcome.

World J Surg Oncol. 2014-8-21

[5]
Endometriosis-associated ovarian carcinoma (EAOC): an entity distinct from other ovarian carcinomas as suggested by a nested case-control study.

Gynecol Oncol. 2001-10

[6]
Association of expression of the hedgehog signal with Merkel cell polyomavirus infection and prognosis of Merkel cell carcinoma.

Hum Pathol. 2017-11

[7]
Analysis of Clinical Characteristics and Prognostic Factors Related to EMs Correlation in Ovarian Cancer Patients.

Altern Ther Health Med. 2024-8

[8]
Endometriosis-associated ovarian cancer is a single entity with distinct clinicopathological characteristics.

Cancer Biol Ther. 2019-3-26

[9]
Endometriosis-associated Ovarian Cancer is a Subset With a More Favorable Outcome and Distinct Clinical-pathologic Characteristics.

Int J Gynecol Pathol. 2019-9

[10]
High Expression of and Genes with Poor Prognosis in Malignant Mesothelioma.

Biomed Res Int. 2023

引用本文的文献

[1]
The role of Hedgehog and Notch signaling pathway in cancer.

Mol Biomed. 2022-12-15

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

推荐工具

医学文档翻译智能文献检索