首页> 外文期刊>Cellular Oncology: Analytical Cellular Pathology >Expression of Multidrug Resistance-Associated Markers, Their Relation to Quantitative Pathologic Tumour Characteristics and Prognosis in Advanced Ovarian Cancer
【24h】

Expression of Multidrug Resistance-Associated Markers, Their Relation to Quantitative Pathologic Tumour Characteristics and Prognosis in Advanced Ovarian Cancer

机译:多药耐药相关标志物的表达及其与晚期卵巢癌定量病理学特征和预后的关系

获取原文
           

摘要

Mean nuclear area has been consistently shown by different researchers to be a strong and independent prognostic factor in advanced ovarian carcinoma. However, the biological background of the prognostic value of nuclear area remains unclear. Others have found that the multidrug‐resistance (MDR) related protein LRP has strong prognostic value. In the present study we have analysed whether the mean nuclear area and LRP are related in tumour tissue of the ovary obtained at the debulking operation before the administration of chemotherapy in 40 patients. The mitotic activity index, volume percentage epithelium, standard deviation of nuclear area and the other MDR‐related proteins P‐glycoprotein (JSB‐1, MRK‐16) and MRP have been investigated additionally for correlations and prognostic value. No correlations were found between the morphometrical features and MDR‐related proteins. Mean nuclear area tended to be larger in LRP positive tumours, but the correlation was not significant. In multivariate analysis LRP‐protein expression and mean nuclear area had independent prognostic value. Further studies are required to elucidate the biological background of the strong prognostic value of mean nuclear area in advanced ovarian cancer.
机译:不同的研究人员一致地表明,平均核面积是晚期卵巢癌的强而独立的预后因素。然而,核区预后价值的生物学背景仍不清楚。其他人发现,与多药耐药(MDR)相关的蛋白LRP具有很强的预后价值。在本研究中,我们分析了40例接受化疗的大剂量手术后获得的卵巢肿瘤组织中的平均核面积和LRP是否相关。还研究了有丝分裂活性指数,上皮体积百分比,核面积标准偏差以及其他与MDR相关的蛋白P-糖蛋白(JSB-1,MRK-16)和MRP的相关性和预后价值。形态特征与MDR相关蛋白之间没有相关性。 LRP阳性肿瘤的平均核面积趋于增大,但相关性不显着。在多变量分析中,LRP蛋白表达和平均核面积具有独立的预后价值。需要进一步的研究来阐明晚期卵巢癌中平均核面积的强预后价值的生物学背景。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号