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高秀娟, 张雅丽, 庄新荣, 张桂香. 磷酸酶及张力蛋白同源物、AT丰富结合域1A基因及昼夜运动输出周期在子宫内膜异位症相关卵巢癌组织中的表达及诊断价值[J]. 实用临床医药杂志, 2023, 27(18): 32-38. DOI: 10.7619/jcmp.20232551
引用本文: 高秀娟, 张雅丽, 庄新荣, 张桂香. 磷酸酶及张力蛋白同源物、AT丰富结合域1A基因及昼夜运动输出周期在子宫内膜异位症相关卵巢癌组织中的表达及诊断价值[J]. 实用临床医药杂志, 2023, 27(18): 32-38. DOI: 10.7619/jcmp.20232551
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GAO Xiujuan, ZHANG Yali, ZHUANG Xinrong, ZHANG Guixiang. Expressions of phosphatase and tensin homolog, AT-rich binding domain 1A gene and circadian locomotor output cycles protein kaput in endometriosis-associated ovarian cancer tissues and their diagnostic values[J]. Journal of Clinical Medicine in Practice, 2023, 27(18): 32-38. DOI: 10.7619/jcmp.20232551
Citation: GAO Xiujuan, ZHANG Yali, ZHUANG Xinrong, ZHANG Guixiang. Expressions of phosphatase and tensin homolog, AT-rich binding domain 1A gene and circadian locomotor output cycles protein kaput in endometriosis-associated ovarian cancer tissues and their diagnostic values[J]. Journal of Clinical Medicine in Practice, 2023, 27(18): 32-38. DOI: 10.7619/jcmp.20232551
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磷酸酶及张力蛋白同源物、AT丰富结合域1A基因及昼夜运动输出周期在子宫内膜异位症相关卵巢癌组织中的表达及诊断价值

Expressions of phosphatase and tensin homolog, AT-rich binding domain 1A gene and circadian locomotor output cycles protein kaput in endometriosis-associated ovarian cancer tissues and their diagnostic values

    摘要
  • 摘要:
    目的 探讨子宫内膜异位症相关卵巢癌(EAOC)组织中磷酸酶及张力蛋白同源物(PTEN)、AT丰富结合域1A基因(ARID1A)及昼夜运动输出周期(CLOCK)的表达，分析PTEN、ARID1A、CLOCK预测EAOC发生风险的价值。
    方法 回顾性收集2016年3月—2020年3月本院收治的30例EAOC患者的资料，并设为EAOC组; 采集同期收治的30例未发生EAOC的单纯子宫内膜异位症(EMS)患者的资料，并设为非EAOC组。比较2组患者入院时病变组织的PTEN、ARID1A及CLOCK的表达，分析上述指标与EAOC发生的关系。
    结果 与非EAOC组相比, EAOC组患者癌组织的PTEN与ARID1A蛋白及基因相对表达量较低, CLOCK蛋白及基因相对表达较高，差异有统计学意义(P < 0.01)。Logistic回归分析显示, PTEN、ARID1A及CLOCK基因异常表达可能与EAOC发生有关，其中PTEN和ARID1A是EAOC发生的保护因子, CLOCK是促进EAOC发生的风险因子(OR>1, P < 0.05)。受试者工作特征(ROC)曲线显示，癌组织的PTEN、ARID1A及CLOCK单独及联合预测EAOC发生的曲线下面积(AUC)分别为0.856、0.860、0.870、0.931。
    结论 未发生EAOC的单纯EMS及EAOC病变组织的PTEN、ARID1A及CLOCK表达存在显著差异; PTEN、ARID1A及CLOCK可能参与了EAOC发生; 检测病变组织PTEN、ARID1A及CLOCK有助于临床诊断EAOC, 且三者联合检测的诊断价值最高。

     

    Abstract:
    Objective To explore the expressions of phosphatase and tensin homolog (PTEN), AT-rich binding domain 1A gene (ARID1A) and circadian locomotor output cycles protein kaput (CLOCK) in patients with endometriosis-associated ovarian cancer (EAOC), and to analyze the values of PTEN, ARID1A and CLOCK in predicting the risk of EAOC.
    Methods Materials of 30 patients with EAOC in the authors' hospital from March 2016 to March 2020 were retrospectively collected, and they were set as EAOC group; the materials of 30 single endometriosis (EMS) patients without EAOC in the same period were collected, and they were set as non-EAOC group. Expressions of PTEN, ARID1A and CLOCK on hospital admission in the pathological tissues were compared between the two groups, and the relationships between the above indicators and the occurrence of EAOC were analyzed.
    Results Compared with the non-EAOC group, the relative expression levels of protein and gene of PTEN and ARID1A in cancer tissues in the EAOC group were significantly lower, while the relative expression levels of protein and gene of CLOCK were significantly higher (P < 0.01). Logistic regression analysis showed that abnormal expressions of PTEN, ARID1A and CLOCK genes may be related to the occurrence of EAOC, in which PTEN and ARID1A were protective factors for the occurrence of EAOC, and CLOCK was a risk factor promoting the occurrence of EAOC (OR>1, P < 0.05). Receiver operating characteristic (ROC) curve showed that the area under the curve (AUC) of PTEN, ARID1A, CLOCK alone and their combination in cancer tissues in predicting the occurrence of EAOC were 0.856, 0.860, 0.870 and 0.931, respectively.
    Conclusion There are significant differences in the expressions of PTEN, ARID1A and CLOCK between pathological tissues of single EMS without EAOC and EAOC; PTEN, ARID1A and CLOCK may be involved in the occurrence of EAOC; detections of PTEN, ARID1A and CLOCK in the pathological tissues are helpful for clinical diagnosis of EAOC, and the combined detection of the three indexes shows the highest diagnostic value.

     

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