Zhang Kai-Jiong, Zhang Yi, Luo Zheng-Lian, Liu Lian, Yang Jie, Wu Li-Chun, Yu Si-Si, Liu Jin-Bo
Department of laboratory medicine, Affiliated Hospital of Southwest Medical University, Luzhou 646000, China. E-mail:
Nan Fang Yi Ke Da Xue Xue Bao. 2016 Apr;36(4):488-92.
To investigate the expression of long non-coding RNA HOTAIR in the plasma of breast cancer patients and its value in the diagnosis of breast cancer.
HOTAIR levels were measured in 24 tumor tissues and 70 plasma samples from breast cancer patients using quantitative real-time PCR. The correlations of plasma HOTAIR level with the clinicopathological features of the patients were analyzed. A multivariate logistic regression model was established to analyze the value of plasma HOTAIR in comparison with plasma CA153 and CEA levels for breast cancer diagnosis. We further detected HOTAIR levels in the plasma and breast cancer tissues of 24 patients before and after operation and investigated their correlation.
Breast cancer patients had increased expressions of HOTAIR in the tumor tissues and plasma, and plasma HOTAIR level was significantly correlated with estrogen receptor (ER) level (P=0.004) and lymph node metastasis (P=0.010). Receiver operating characteristic (ROC) curve and the multivariable logistic regression model showed that the area under ROC curve (AUC) of plasma HOTAIR was 0.82 (P<0.001) for breast cancer diagnosis with a diagnostic sensitivity and a specificity of 73.3% and 93.3%, respectively. The diagnostic power and specificity of plasma HOTAIR was much higher than those of CA153 (AUC=0.66, P=0.030) and CEA (AUC=0.52, P=0.001), and the combination of the 3 markers further enhanced the diagnostic power (AUC=0.84) and specificity (96.7%). Plasma HOTAIR level was significantly reduced in the patients after the operation (P<0.0001) and showed a moderate correlation with its expression in tumor tissues (r=0.62, P<0.0001).
Plasma HOTAIR may serve as a potential biomarker for breast cancer diagnosis.
探讨长链非编码RNA HOTAIR在乳腺癌患者血浆中的表达及其在乳腺癌诊断中的价值。
采用定量实时PCR检测24例乳腺癌患者肿瘤组织及70份血浆样本中HOTAIR水平。分析血浆HOTAIR水平与患者临床病理特征的相关性。建立多因素logistic回归模型，分析血浆HOTAIR与血浆CA153和CEA水平相比在乳腺癌诊断中的价值。进一步检测24例患者手术前后血浆及乳腺癌组织中HOTAIR水平，并研究其相关性。
乳腺癌患者肿瘤组织及血浆中HOTAIR表达升高，血浆HOTAIR水平与雌激素受体（ER）水平（P = 0.004）及淋巴结转移（P = 0.010）显著相关。受试者工作特征（ROC）曲线及多因素logistic回归模型显示，血浆HOTAIR诊断乳腺癌的ROC曲线下面积（AUC）为0.82（P < 0.001），诊断敏感性和特异性分别为73.3%和93.3%。血浆HOTAIR的诊断效能和特异性远高于CA153（AUC = 0.66，P = 0.030）和CEA（AUC = 0.52，P = 0.001），三者联合进一步提高了诊断效能（AUC = 0.84）和特异性（96.7%）。术后患者血浆HOTAIR水平显著降低（P < 0.0001），且与肿瘤组织中表达呈中度相关（r = 0.62，P < 0.0001）。
血浆HOTAIR可能作为乳腺癌诊断的潜在生物标志物。
