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NGAL 和 VEGF 在子宫内膜癌中的表达及其与临床的相关性。

Expression and clinical correlation of NGAL and VEGF in endometrial carcinoma.

机构信息

Department of Gynecology and Obstetrics, People's Hospital of Dongying City, Dongying, Shandong Province, China.

出版信息

Eur Rev Med Pharmacol Sci. 2018 Feb;22(3):632-636. doi: 10.26355/eurrev_201802_14287.

DOI:10.26355/eurrev_201802_14287
PMID:29461590
Abstract

OBJECTIVE

To determine the expression of neutrophil gelatinase-associated lipocalin (NGAL) and vascular endothelial growth factor (VEGF) in endometrial carcinoma.

PATIENTS AND METHODS

The clinical features (FIGO staging, pathological type, differentiation level, myometrial invasion depth and tumor size) and immunostaining analysis of endometrial carcinoma (30 cases), atypical hyperplasia (30 cases) and proliferative endometrial tissues (30 cases) were analyzed. Immunohistochemistry and reverse transcription PCR (RT-PCR) were performed to detect the expression of NGAL and VEGF.

RESULTS

The positive tissue immunostaining and mRNA expression of NGAL and VEGF in endometrial carcinoma were significantly higher than in either atypical hyperplasia or proliferative endometrial tissues (p<0.05). The relative expression level of NGAL and VEGF was positively correlated with worse FIGO staging, higher differentiation level and a greater myometrial invasion depth (p<0.05); but not with patient age, pathological type or tumor size (p>0.05).

CONCLUSIONS

The abnormal high expression of NGAL and VEGF observed in the endometrial carcinoma may be an important biomarker for early tumor diagnosis or as a novel target for therapeutic intervention.

摘要

目的

检测中性粒细胞明胶酶相关脂质运载蛋白(NGAL)和血管内皮生长因子(VEGF)在子宫内膜癌中的表达。

方法

分析 30 例子宫内膜癌、30 例不典型增生和 30 例增生期子宫内膜组织的临床特征(FIGO 分期、病理类型、分化程度、肌层浸润深度和肿瘤大小)和免疫组化分析。采用免疫组化和反转录聚合酶链反应(RT-PCR)检测 NGAL 和 VEGF 的表达。

结果

子宫内膜癌组织中 NGAL 和 VEGF 的阳性免疫组化和 mRNA 表达明显高于不典型增生或增生期子宫内膜组织(p<0.05)。NGAL 和 VEGF 的相对表达水平与 FIGO 分期较差、分化程度较高和肌层浸润深度较大呈正相关(p<0.05);但与患者年龄、病理类型或肿瘤大小无关(p>0.05)。

结论

子宫内膜癌中观察到的 NGAL 和 VEGF 异常高表达可能是早期肿瘤诊断的重要生物标志物,或成为治疗干预的新靶点。

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