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Published on: May 21, 2019
Establishment of a 7-miRNA-Based Risk Score System for Predicting Prognosis of Pancreatic Cancer
Hongkai Zhuang1,2, Zuyi Ma1,2, Kaijun Huang1
1From the Department of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou.
Objective:
This study developed a prognosis-associated miRNA (PAM)-based risk score system to predict overall survival for pancreatic cancer.
Methods:
We screened potential PAMs using bioinformatics technology. A risk score system integrating the PAMs was established, and the predictive value was evaluated. The targets of these PAMs were identified and functional enrichment analysis was performed.
Results:
Seven PAMs (hsa-mir-188, hsa-mir-1301, hsa-mir-424, hsa-mir-5010, hsa-mir-584, hsa-mir-5091, and hsa-mir-3613) were identified. We also developed a risk score system, which showed a high Harrell concordance index (C-index, 0.723) for overall survival in the Cancer Genome Atlas data sets. The areas under the curve of the receiver operating characteristic curve at the 1-, 2-, and 3-year survival points were 0.718, 0.832, and 0.903, respectively. In addition, both the C-index and the areas under the curve for recurrence-free survival showed a good outcome, indicating that the system had a satisfactory predictive power. Furthermore, 49 target genes of PAMs were identified. Functional enrichment analysis revealed that these targets may be involved in various biological pathways, including the transforming growth factor β signaling pathway, Notch signaling, and downregulation of SMAD2/3.
Conclusions:
The findings of this study suggest that the 7-miRNA-based risk score system is a promising prognostic model for pancreatic cancer.
