Nie Zhen-Lin, Wang Yi-Shan, Mei Yan-Ping, Lin Xin, Zhang Guo-Xing, Sun Hui-Ling, Wang Yi-Lian, Xia Yong-Xiang, Wang Shu-Kui
Department of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
General Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
J Clin Lab Anal. 2018 Jan;32(1). doi: 10.1002/jcla.22193. Epub 2017 Mar 1.
Long noncoding RNA (lncRNA) Z38 has been shown to promote cell proliferation and tumorigenesis in breast cancer. However, expression pattern and prognostic value of lncRNA Z38 in breast cancer patients remain elusive.
The expression levels of SPRY4-IT1 in 110 self-paired specimens of breast cancer and adjacent normal breast tissues were measured by quantitative real-time PCR (qRT-PCR), and its correlation with overall survival of patients with breast cancer was further statistically analyzed.
Compared with normal breast tissues, Z38 was upregulated in breast cancer tissues. Furthermore, of 110 breast cancer patients, high Z38 expression was significantly associated with tumor-node-metastasis stage and lymph node metastasis. Further analysis using the Cox regression model revealed that Z38 expression was an independent prognostic factor of overall survival in patients with breast cancer (hazard ratio=4.74, 95% confidence interval 2.41-9.32). The nomogram presents a good prediction of the probability of overall survival of breast cancer patients (c-index: 0.792), and its predictive efficiency was further confirmed by the calibration curve.
Our data highlighted the potential of lncRNA Z38 as novel candidate biomarker to identify patients with breast cancer at high risk of tumor death.
长链非编码RNA(lncRNA)Z38已被证明可促进乳腺癌细胞增殖和肿瘤发生。然而,lncRNA Z38在乳腺癌患者中的表达模式和预后价值仍不清楚。
采用定量实时聚合酶链反应(qRT-PCR)检测110例乳腺癌患者及其配对的癌旁正常乳腺组织中SPRY4-IT1的表达水平,并进一步对其与乳腺癌患者总生存期的相关性进行统计学分析。
与正常乳腺组织相比,Z38在乳腺癌组织中表达上调。此外,在110例乳腺癌患者中,Z38高表达与肿瘤-淋巴结-转移分期及淋巴结转移显著相关。使用Cox回归模型进一步分析显示,Z38表达是乳腺癌患者总生存期的独立预后因素(风险比=4.74,95%置信区间2.41-9.32)。列线图对乳腺癌患者总生存概率具有良好的预测能力(c指数:0.792),校准曲线进一步证实了其预测效率。
我们的数据突出了lncRNA Z38作为新型候选生物标志物用于识别具有肿瘤死亡高风险乳腺癌患者的潜力。