Tong Liu1, Xin You2, Jing Sui1, Bo Shen3, Yan Zhang3, Xiao-Mei Zhang3, Sheng Yang1, Yong-Zhong Yao4, Fei Yang5, Li-Hong Yin1, Yue-Pu Pu1, Ge-Yu Liang1. 1. Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu, China. 2. Department of General Surgery, School of Medicine, Southeast University, Nanjing, Jiangsu, China. 3. Department of Oncology, Jiangsu Cancer Hospital, Nanjing, Jiangsu, China. 4. Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China. 5. Department of Occupational and Environmental Health, School of Public Health, Central South University, Changsha, Hunan, China.
Abstract
BACKGROUND: Recent scientific evidence has suggested that microRNAs (miRNAs) play an important role in papillary thyroid cancer (PTC). In the current study, we aim to identify a miRNA-related signature as the sensitive and novel prognostic biomarkers. METHODS: We performed a comprehensive analysis of the data downloaded from the Cancer Genome Atlas (TCGA) database. The association between survival outcome and miRNA was assessed by the univariate and multivariate Cox proportional hazards model. The risk score model was built to evaluate the predicting value of miRNA signature. The potential biofunctions and transcription factors of target miRNAs were investigated through bioinformatic analysis. The result was verified by the quantitative real-time polymerase chain reaction (qRT-PCR) in 32 pairs of PTC and adjacent nontumor tissues. In addition, the results were verified by other cohorts from gene expression omnibus (GEO) as detected by microarrays. RESULTS: A total of 1030 miRNAs were identified from the TCGA database. Thirty-six key intersection miRNAs were obtained. The associations between clinical features and key miRNAs were evaluated. Eventually, a two-miRNA signature (hsa-miR-181a-2-3p and hsa-miR-138-1-3p) was identified. The power of the miRNA prognostic signature was effective. In total, we identified 202 genes that were associated with 2 miRNAs above, and the top 10 enriched transcript factors that highly related with the target miRNAs were explored. The qRT-PCR and GEO data validation were consistent with bioinformatics results. CONCLUSIONS: A tumor-specific miRNA signature was identified, and the joint prognostic power was evaluated, which may be potential biomarkers for prognosis of PTC. IMPACT: The two-miRNA signature could become the potential prognostic indicator of PTC in the future.
BACKGROUND: Recent scientific evidence has suggested that microRNAs (miRNAs) play an important role in papillary thyroid cancer (PTC). In the current study, we aim to identify a miRNA-related signature as the sensitive and novel prognostic biomarkers. METHODS: We performed a comprehensive analysis of the data downloaded from the Cancer Genome Atlas (TCGA) database. The association between survival outcome and miRNA was assessed by the univariate and multivariate Cox proportional hazards model. The risk score model was built to evaluate the predicting value of miRNA signature. The potential biofunctions and transcription factors of target miRNAs were investigated through bioinformatic analysis. The result was verified by the quantitative real-time polymerase chain reaction (qRT-PCR) in 32 pairs of PTC and adjacent nontumor tissues. In addition, the results were verified by other cohorts from gene expression omnibus (GEO) as detected by microarrays. RESULTS: A total of 1030 miRNAs were identified from the TCGA database. Thirty-six key intersection miRNAs were obtained. The associations between clinical features and key miRNAs were evaluated. Eventually, a two-miRNA signature (hsa-miR-181a-2-3p and hsa-miR-138-1-3p) was identified. The power of the miRNA prognostic signature was effective. In total, we identified 202 genes that were associated with 2 miRNAs above, and the top 10 enriched transcript factors that highly related with the target miRNAs were explored. The qRT-PCR and GEO data validation were consistent with bioinformatics results. CONCLUSIONS: A tumor-specific miRNA signature was identified, and the joint prognostic power was evaluated, which may be potential biomarkers for prognosis of PTC. IMPACT: The two-miRNA signature could become the potential prognostic indicator of PTC in the future.