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凋亡调节因子在人上皮性卵巢癌中的作用。

Role of apoptotic regulators in human epithelial ovarian cancer.

作者信息

Kar Rajarshi, Sen Sudip, Singh Archna, Sharma Himani, Kumar Sunesh, Gupta Siddhartha Dutta, Singh Neeta

机构信息

Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India.

出版信息

Cancer Biol Ther. 2007 Jul;6(7):1101-5. doi: 10.4161/cbt.6.7.4329.

Abstract

We assessed molecular markers such as BRCA1, K-ras, p53, Bcl-2, Bcl-XL, Survivin and telomerase activity in untreated ovarian cancer tissue samples, ascitic cells and normal ovarian tissues and gathered insights into their correlation with each other and also with apoptotic index. The expression of these proteins was analyzed by Western blotting and immunohistochemistry. Apoptotic index was determined by TUNEL assay and telomerase activity was measured by PCR-ELISA kit. p53, Bcl-2, Bcl-XL, K-ras and Survivin were found to be over expressed in tumors and ascitic cells as compared to normal controls whereas there was no significant difference in expression of BRCA1. A significantly higher telomerase activity and lower apoptotic index in tumors as compared to controls was observed. p53 positively correlated with Bcl-2, Bcl-XL, K-ras and Survivin expression and also clinical stage of the disease. A positive correlation between Survivin and Bcl-2, Bcl-XL was seen. Apoptotic Index, telomerase activity and BRCA1 expression showed no correlation with any of the parameters. Our study confirms the fact that multiple gene interactions govern the pathogenesis of ovarian cancer, and analyzing ascitic cells of ovarian cancer patients may help to delineate molecular profile of the primary tumor.

摘要

我们评估了未治疗的卵巢癌组织样本、腹水细胞和正常卵巢组织中的分子标志物,如BRCA1、K-ras、p53、Bcl-2、Bcl-XL、Survivin和端粒酶活性,并深入了解了它们彼此之间以及与凋亡指数的相关性。通过蛋白质印迹法和免疫组织化学分析这些蛋白质的表达。通过TUNEL法测定凋亡指数,通过PCR-ELISA试剂盒测量端粒酶活性。与正常对照相比,发现p53、Bcl-2、Bcl-XL、K-ras和Survivin在肿瘤和腹水细胞中过度表达,而BRCA1的表达没有显著差异。与对照相比,观察到肿瘤中端粒酶活性显著更高,凋亡指数更低。p53与Bcl-2、Bcl-XL、K-ras和Survivin的表达以及疾病的临床分期呈正相关。Survivin与Bcl-2、Bcl-XL之间呈正相关。凋亡指数、端粒酶活性和BRCA1表达与任何参数均无相关性。我们的研究证实了多个基因相互作用控制卵巢癌发病机制这一事实,并且分析卵巢癌患者的腹水细胞可能有助于描绘原发性肿瘤的分子特征。

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