Wang Xiliang, Zhang Qing, Cai Zhiming, Dai Yifan, Mou Lisha
Shenzhen Xenotransplantation Medical Engineering Research and Development Center, Institute of Translational Medicine, Shenzhen Second People's Hospital, First Affiliated Hospital of Shenzhen University, Shenzhen 518035, China.
Department of Biochemistry in Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China.
Oncotarget. 2017 Dec 4;8(67):111551-111566. doi: 10.18632/oncotarget.22873. eCollection 2017 Dec 19.
Thyroid carcinoma (THCA) is the most universal endocrine malignancy worldwide. Unfortunately, a limited number of large-scale analyses have been performed to identify biomarkers for THCA. Here, we conducted a meta-analysis using 505 THCA patients and 59 normal controls from The Cancer Genome Atlas. After identifying differentially expressed long non-coding RNA (lncRNA) and protein coding genes (PCG), we found vast difference in various lncRNA-PCG co-expressed pairs in THCA. A dysregulation network with scale-free topology was constructed. Four molecules (LA16c-380H5.2, RP11-203J24.8, MLF1 and SDC4) could potentially serve as diagnostic biomarkers of THCA with high sensitivity and specificity. We further represent a diagnostic panel with expression cutoff values. Our results demonstrate the potential application of those four molecules as novel independent biomarkers for THCA diagnosis.
甲状腺癌(THCA)是全球最常见的内分泌恶性肿瘤。不幸的是,针对THCA的生物标志物识别,仅开展了有限的大规模分析。在此,我们使用来自癌症基因组图谱(The Cancer Genome Atlas)的505例THCA患者和59例正常对照进行了一项荟萃分析。在鉴定出差异表达的长链非编码RNA(lncRNA)和蛋白质编码基因(PCG)后,我们发现THCA中各种lncRNA-PCG共表达对存在巨大差异。构建了具有无标度拓扑结构的失调网络。四个分子(LA16c-380H5.2、RP11-203J24.8、MLF1和SDC4)可能作为THCA的诊断生物标志物,具有高敏感性和特异性。我们进一步给出了具有表达临界值的诊断面板。我们的结果证明了这四个分子作为THCA诊断新的独立生物标志物的潜在应用价值。