血清微小RNA-9-3p、微小RNA-27b-3p与脑胶质瘤分级及预后的关系

Relationships of serum microRNA-9-3p and microRNA-27b-3p with brain glioma grading and prognosis

  • 摘要:
    目的 探讨血清微小RNA-9-3p(miR-9-3p)、微小RNA-27b-3p(miR-27b-3p)与脑胶质瘤(BG)分级的关系及对预后的影响。
    方法 选取2020年5月—2023年5月江苏省人民医院宿迁医院收治的172例BG患者为研究对象,并根据世界卫生组织(WHO)中枢神经系统肿瘤分级标准分为高级别组(Ⅲ~Ⅳ级)101例、低级别组(Ⅰ~Ⅱ级)71例; 另选取同期同年龄段85例健康体检者为对照组。比较3组一般资料和血清miR-9-3p、miR-27b-3p水平; 分析BG患者治疗前血清miR-9-3p、miR-27b-3p水平与BG分级的相关性。统计BG患者治疗后1年预后情况,并比较预后不良组与预后良好组临床资料。分析BG患者预后不良的影响因素; 分析治疗前血清miR-9-3p、miR-27b-3p预测BG患者预后不良的价值。将预后不良的常规影响因素联合作为常规预测模型,常规预测模型联合治疗前血清miR-9-3p、miR-27b-3p作为新预测模型,比较2种模型预测BG患者预后不良的价值。
    结果 治疗前,高级别组血清miR-9-3p、miR-27b-3p水平低于低级别组、对照组,低级别组血清miR-9-3p、miR-27b-3p水平低于对照组,差异均有统计学意义(P < 0.05)。相关性分析显示, BG患者治疗前血清miR-9-3p、miR-27b-3p水平与BG分级呈负相关(r=-0.573, P < 0.001; r=-0.498, P < 0.001), BG患者血清miR-9-3p水平与miR-27b-3p水平呈正相关(r=0.509, P < 0.05)。治疗前,预后不良组WHO分级Ⅲ~Ⅳ级、分化程度低分化、卡氏功能状态评分(KPS) < 70分的患者比率以及血清IL-17水平高于预后良好组,血清miR-27b-3p、miR-27b-3p水平低于预后良好组,差异有统计学意义(P < 0.05)。Logistic回归分析显示,治疗前WHO分级、分化程度、KPS、血清IL-17、miR-9-3p、miR-27b-3p水平均为BG患者预后不良的影响因素(P < 0.05)。受试者工作特征(ROC)曲线显示,治疗前血清miR-9-3p、miR-27b-3p单独预测BG患者预后不良的曲线下面积(AUC)分别为0.714、0.720, 差异无统计学意义(Z=0.086, P=0.413)。常规预测模型预测BG患者预后不良的AUC为0.829, 新预测模型预测BG患者预后不良的AUC为0.926, 差异有统计学意义(P < 0.05)。
    结论 血清miR-9-3p、miR-27b-3p水平与BG分级呈负相关,是预后不良的影响因素,并在预测预后不良方面具有一定的价值。

     

    Abstract:
    Objective To investigate the relationships of serum microRNA-9-3p (miR-9-3p), microRNA-27b-3p (miR-27b-3p), with brain glioma (BG) grading and their impacts on prognosis.
    Methods A total of 172 BG patients admitted in Suqian Hospital of Jiangsu Provincial People′s Hospital from May 2020 to May 2023 were enrolled and divided into high-grade group (grade Ⅲ to Ⅳ, n=101) and low-grade group (grade Ⅰ to Ⅱ, n=71) according to the World Health Organization (WHO) classification of central nervous system tumors. Additionally, 85 healthy individuals of the same age range during the same period were selected as control group. General information, serum levels of miR-9-3p, and miR-27b-3p were compared among the three groups. The correlations of pretreatment serum levels of miR-9-3p and miR-27b-3p with BG grading were analyzed. The prognosis of BG patients one year after treatment was recorded, and clinical data were compared between the poor prognosis group and the good prognosis group. Factors influencing poor prognosis in BG patients as well as the value of pretreatment serum miR-9-3p and miR-27b-3p in predicting poor prognosis were analyzed. Conventional factors influencing poor prognosis were used to establish a conventional prediction model, and model combined with pretreatment serum miR-9-3p and miR-27b-3p levels was used as a new prediction model. The value of these two models in predicting poor prognosis in BG patients was compared.
    Results Before treatment, serum levels of miR-9-3p and miR-27b-3p were lower in the high-grade group than those in the low-grade and control groups, and lower in the low-grade group than those in the control group (P < 0.05). Correlation analysis showed that pretreatment serum levels of miR-9-3p and miR-27b-3p were negatively correlated with BG grading (r=-0.573, P < 0.001; r=-0.498, P < 0.001), and serum miR-9-3p level was positively correlated with miR-27b-3p level in BG patients (r=0.509, P < 0.05). Before treatment, the poor prognosis group had a higher proportion of patients with WHO grade Ⅲ to Ⅳ, low differentiation, Karnofsky Performance Scale (KPS) < 70, and higher serum interleukin-17 (IL-17) levels compared to the good prognosis group, while serum levels of miR-9-3p and miR-27b-3p were lower (P < 0.05). Logistic regression analysis showed that pretreatment WHO grading, differentiation, KPS, serum IL-17, miR-9-3p, and miR-27b-3p levels were all influencing factors of poor prognosis in BG patients (P < 0.05). Receiver operating characteristic (ROC) curves showed that the areas under the curve (AUCs) for pretreatment serum miR-9-3p and miR-27b-3p alone in predicting poor prognosis in BG patients were 0.714 and 0.720, respectively, with no statistically significant difference (Z=0.086, P=0.413). The AUC of the conventional prediction model for predicting poor prognosis in BG patients was 0.829, and the AUC of the new prediction model was 0.926 (P < 0.05).
    Conclusion Serum levels of miR-9-3p and miR-27b-3p are negatively correlated with BG grading and are factors influencing poor prognosis, demonstrating certain value in predicting poor prognosis.

     

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