| 梁培丽 张莘 徐国才 李思瑾 张媛媛 张丙忠.FEN-1 和AXL表达与上皮性卵巢癌化疗耐药相关分析[J].,2016,16(13):2533-2536 |
| FEN-1 和AXL表达与上皮性卵巢癌化疗耐药相关分析 |
| Correlations of Expression of FEN-1 and AXL to Chemoresistance inEpithelial Ovarian Cancer |
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| DOI： |
| 中文关键词: 卵巢癌 FEN-1 AXL 化疗耐药 |
| 英文关键词: Ovarian cancer FEN-1 AXL Chemotherapy resistance |
| 基金项目:广东省药学会基金项目（2014D11）；广东省自然重点项目（2012020010913） |
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| 中文摘要: |
| 目的：探讨FEN-1 和AXL在上皮性卵巢癌组织表达情况及其与卵巢癌化疗耐药的关系。方法：采用免疫组化法检测卵巢癌
/正常卵巢组织中FEN-1 及AXL表达，分析蛋白表达与卵巢癌化疗疗效相关性。结果：卵巢癌组织中FEN-1及AXL阳性率分别
为58.20%及72.13%，均显著高于正常卵巢组织（10%）（P ＜ 0.05）。相对早期患者，FEN-1 高表达于晚期卵巢癌组织（37.50%&63.
27%）（P ＜ 0.05），与分化程度及化疗敏感性关系不大（P＞0.05）。AXL高表达于晚期卵巢癌（77.55%&50%）及低分化组织中
（79.71%&62.26%）（P ＜ 0.05）。癌组织AXL阳性者化疗有效率（51.14%）明显低于阴性者（85.29%）（P ＜ 0.05）；化疗耐药组AXL
阳性率（89.58%）明显高于敏感组（60.81%）（P ＜ 0.05）。结论：FEN-1 及AXL均与卵巢癌发生发展相关，AXL的表达可作为预测卵
巢癌化疗耐药的指标。 |
| 英文摘要: |
| Objective:This study was to explore the expression of FEN-1 and AXL in epithelial ovarian cancer and analyze its relationship
with chemoresistance of patients.Methods:Expressions of FEN-1 and AXL in specimens of ovarian cancer and normal ovary
were detected via immunohistochemistry. The relationship between these proteins and chemotherapy efficacy of patients after operation
were analyzed.Results:The positive rates of FEN-1 and AXL in cancer specimens (58.20%and 72.13%respectively )were significantly
higher than those in normal ones(10%)(P＜0.05). FEN-1 was highly expressed in ovarian cancer patients at late stage(III-IV)(37.50% &
63.27%)(P＜0.05), while showed no significant difference in differentiation and chemotherapy efficacy (P＞0.05). The expression of
AXL in ovarian cancer patients was higher at late stage(III-IV)(77.55% & 50%), with poor differentiation (79.71%&62.26%)(P＜0.05).
The positive rate of AXL was higher in patients resistant to chemotherapy (89.58%) than those sensitive to chemotherapy (60.81%)(P＜
0.05). The short-termefficacy of ovarian cancer were higher in patients with negative expression (85.29%) of AXL than those with positive
expression(51.14%)(P＜0.05).Conclusion:Both FEN-1 and AXL are closely related to the development of ovarian cancer. The expression
of AXL could be used to predict chemoresistance of ovarian cancer. |
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