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目的:探讨血清长链非编码RNA MALAT-1检测在卵巢癌患者中的诊断作用。方法:收集187例在我院行卵巢肿瘤切除术患者术前血清。应用实时定量PCR检测血清中MALAT-1 m RNA的表达。MALAT-1 m RNA的拷贝数使用绝对定量(标准曲线)计算。MALAT-1的诊断价值采用ROC-AUC曲线和logistic回归分析并与血清CA125进行比较。结果:1本研究有效样本比例为88.77%(166/187)。卵巢良性肿瘤和恶性肿瘤比例分别为62.05%(103/166)和37.95%(63/166)。卵巢恶性肿瘤患者MALAT-1明显高于良性肿瘤患者(p<0.001)。经ROC曲线分析,血清CA125和MALAT-1曲线下面积分别为0.726和0.844,且血清MALAT-1的诊断价值明显优于血清CA125(p=0.023)。经logistic回归分析,应用血清MALAT-1和CA125的预测准确性分别为78.92%和68.07%,应用血清MALAT-1可提高预测准确性10.85%。进一步的分析得出,取血清MALAT-1截断点为36.5时,其预测的敏感性和特异性分别高达84.1%和67.0%。结论:血清长链非编码RNA MALAT-1检测对卵巢肿瘤的性质具有良好的预测作用,可作为卵巢癌早期诊断的分子标志物。本研究结果需大样本前瞻性的研究进一步验证。
Objective: To investigate the diagnostic value of serum long-chain non-coding RNA MALAT-1 in ovarian cancer patients. Methods: Preoperative serum samples from 187 patients undergoing ovarian tumor resection in our hospital were collected. Real-time quantitative PCR was used to detect the expression of MALAT-1 m RNA in serum. The copy number of MALAT-1 m RNA was calculated using absolute quantitation (standard curve). The diagnostic value of MALAT-1 was analyzed using ROC-AUC curves and logistic regression analysis and compared with serum CA125. Results: 1 The effective sample size of this study was 88.77% (166/187). The proportion of benign ovarian tumors and malignant tumors were 62.05% (103/166) and 37.95% (63/166), respectively. MALAT-1 was significantly higher in ovarian cancer patients than in benign tumors (p <0.001). The ROC curves showed that the areas under the curves of serum CA125 and MALAT-1 were 0.726 and 0.844 respectively, and the diagnostic value of serum MALAT-1 was significantly better than that of serum CA125 (p = 0.023). Logistic regression analysis showed that the predictive accuracy of serum MALAT-1 and CA125 were 78.92% and 68.07%, respectively. Serum MALAT-1 could improve the prediction accuracy of 10.85%. Further analysis showed that when the serum MALAT-1 cut-off point was 36.5, the predicted sensitivity and specificity were as high as 84.1% and 67.0%, respectively. Conclusion: The serum long-chain non-coding RNA MALAT-1 can predict the ovarian tumor well and can be used as a molecular marker for the early diagnosis of ovarian cancer. The results of this study need a large sample of prospective studies to further verify.