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作 者:高春涛[1] 王秀超[1] 李莎莎[1] 郝继辉[1]
机构地区:[1]天津医科大学附属肿瘤医院胰腺肿瘤科,天津市肿瘤防治重点实验室,天津市300060
出 处:《中国肿瘤临床》2011年第19期1212-1216,共5页Chinese Journal of Clinical Oncology
基 金:天津医科大学科学基金(编号:2009KY36)资助~~
摘 要:目的:研究HIF-1α和Kit配基(KL)在胰腺癌组织中的表达并探讨其临床病理学意义及两者之间的相关性。方法:采用免疫组织化学(SP)法检测95例胰腺癌组织,观察肿瘤组织中HIF-1α和KL的表达,分析其临床病理学特征及预后特征。结果:HIF-1α和KL的阳性表达主要在细胞核或细胞浆内,呈棕黄色颗粒。HIF-1α和KL在胰腺癌组织中的阳性表达率分别为63.2%(60/95)和58.9%(56/95),显著高于两者在癌旁组织和正常胰腺组织中的表达,差异有统计学意义(P<0.01)。HIF-1α和KL的异常表达均与胰腺癌的肿瘤大小、淋巴结转移和TNM分期相关(P<0.05),与患者的性别、年龄、分化程度和病理分型无关。HIF-1α和KL的表达之间存在正相关性(r=0.728,P<0.01)。结论:胰腺癌组织中存在HIF-1α和KL表达的上调,KL的表达对评估患者预后估计具有积极的指导作用。Objective: Pancreatic ductal adenocarcinoma ( PDAC ) has a rather poor prognosis in gastrointestinal cancers. Thisstudy aims to investigate the expression of HIF-1 a and Kit ligand ( KL ), and to evaluate their significance of clinical stages and prognosis in PDAC. Methods: The expression of HIF-1α and KL in the tumor tissues of 95 PDAC patients was examined by immunohistochemistry. The results were analyzed by relating them to the clinical stage and pathological grade. Results: The positive expressions of HIF-1α and KL were mainly seen in the nucleus or cytoplasm, presenting brownish yellow granules. The positive expression rate was 63.2% ( 60/95 ) and 58.9% ( 56/95 ) in pancreatic carcinoma respectively, which were significantly higher compared to those in the tissues of normal pancreas and chronic pancreatitis. There were statistically significant differences among them ( P 〈0.001 ). The abnormal expression of HIF-1α and KL was in correlation with the high clinical TNM stages, lymph node metastasis and larger tumor size ( P〈 0.05 ), and was not in relation to the sex, age, histological grade and pathological type. The Spearman analysis showed that the level of KL was significantly associated with HIF-1α expression ( r = 0.728, P 〈0.01 ). Conclusion: The protein expression of HIF-1α and KL had a significant impact on survival of patients with pancreatic adenocarcinoma. The overexpression of HIF-1α and KL have significant values in distinguishing clinical stages and predicting the prognosis of the PDAC.
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