乳腺癌患者抑郁状态评分及其相关microRNA表达的临床分析

目的 分析乳腺癌患者抑郁状态,考察其与相关基因表达的相关性及对临床的实际意义。 方法 选择2015年1月-2016年12月112例确诊的乳腺癌女性患者作为研究对象。患者年龄32~68岁,平均年龄(48.0±5.5)岁。采用汉密顿抑郁量表(HDMD)评估患者的抑郁状态,并据此将患者分为抑郁组和非抑郁组。应用实时荧光定量PCR技术检测2组患者在microRNA-320a、microRNA-17-5p、microRNA-223-3p、microRNA-451a、microRNA-223、microRNA-452等microRNA表达的差异性,分析其与患者抑郁状态的相关性。 结果 抑郁状态患者的HAMD得分均值[(13.7±1.6)分]明显高于非抑郁状态者[(3.6±1.1)分](t=39.516,P<0.05)。抑郁组在microRNA-320a、microRNA-451a、microRNA-223表达水平与非抑郁组比较差异均有统计学意义(统计量Z值分别为6.252、5.183、7.904,均P<0.05)。Pearson相关性分析发现,乳腺癌患者抑郁状态与年龄分布(R=0.420,P=0.040)、临床分期(R=0.610,P=0.013)、microRNA-320a (R=0.500,P=0.023)、microRNA-451a (R=0.430,P=0.034)、microRNA-223(R=0.660,P=0.010)等因素的改变有关。 结论 临床可通过监测HAMD得分、microRNA-320a、microRNA-451a、microRNA-223等因素变化,评判乳腺癌患者的抑郁状态,为后期治疗提供指导。 

Clinical analysis of depressive state score and related gene protein expression in breast cancer patients

Objective To analyze the depressive state of breast cancer patients, investigate its correlation with the expression of related genes and the practical implications for clinical practice. Methods From January, 2015 to December, 2016, a total of 112 female patients diagnosed with breast cancer were selected as the subjects. Age was 32-68 years old, the average age was (48.0 ±5.5) years. To evaluate the patients' depression using the Hamilton Depression Scale (HDMD), according the results all the patients were divided into depression group and non-depression group. Using the method of real-time fluorescent quantitative PCR detection, analysis and purificate the total mRNA of cells, and compared with the differences between the two groups in the expression of microRNA-320 a, microRNA-17-5 p, microRNA-223-3 p, microRNA-451 a, microRNA-223, microRNA-452 gene protein. The correlation between depression and depression was analyzed. Results The HAMD score in the depressive patients was (13.7 ±1.6) scores, it was significantly higher than that in the non-depressive patients[(3.6 ±1.1) scores] (t=39.516, P<0.05). Compared with the differences between the two groups in the expression levels of microRNA-320 a, microRNA-451 a and microRNA-223, it was statistically significant (statistic value Z were respectively 6.252, 5.183, 7.904, all P<0.05). Pearson correlation analysis results showed that in breast cancer patients the depression status was related to age distribution (R=0.420, P=0.040), clinical stage (R=0.610, P=0.013), and the gene expression changes of microRNA-320 a (R=0.500, P=0.023), microRNA-451 a (R=0.430, P=0.034), microRNA-223 (R=0.660, P=0.010) and other. Conclusion The clinic could monitore the HAMD score, and pay attention to the expression of microRNA-320 a, microRNA-451 a, microRNA-223 and other microRNA expression, it can be used to evaluate the depressive state of breast cancer patients, and provide guidance for the later treatment.