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Screening potential microRNAs associated with pancreatic cancer: Data mining based on RNA sequencing and microarrays

  • Authors:
    • Jing Ma
    • Siwen Sun
    • Chen Song
    • Ning Li
    • Na Li
    • Lingzhi Xu
    • Ting Yang
    • Yulong Lan
    • Man Li

  • View Affiliations

  • Published online on: July 13, 2020     https://doi.org/10.3892/etm.2020.8991
  • Pages: 2705-2715

  • Copyright: © Ma et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Pancreatic cancer is a malignant tumor of the digestive tract, rendering it difficult to make an accurate diagnosis. The 5 year survival rate for pancreatic cancer is <1%, and surgical resection rarely proves to be effective. Therefore, the identification of more effective methods for the early detection of pancreatic cancer is an urgent requirement. The present study aimed to explore key genes and microRNAs (miRNAs) associated with the pathogenesis of pancreatic cancer. Public databases were searched, and the data were integrated from The Cancer Genome Atlas and Gene Expression Omnibus databases, leading to the identification of 23 differentially expressed miRNAs (DE‑miRNAs). A total of four of the DE‑miRNAs were upregulated (hsa‑miR‑892b, hsa‑miR‑194‑2, hsa‑miR‑200a and hsa‑miR‑194‑1), whereas 19 downregulated DE‑miRNAs (hsa‑miR‑424, hsa‑miR‑191, hsa‑miR‑484, hsa‑miR‑142, hsa‑miR‑15b, hsa‑miR‑450a‑1, hsa‑miR‑423, hsa‑miR‑126, hsa‑miR‑505, hsa‑miR‑16‑1, hsa‑miR‑342, hsa‑miR‑130a, hsa‑miR‑3613, hsa‑miR‑450a‑2, hsa‑miR‑26b, hsa‑miR‑451, hsa‑miR‑19b‑2, hsa‑miR‑106a and hsa‑miR‑503) were identified using the cut‑off criteria of P<0.05 and |log 2FC|>1.0. Hsa‑miR‑3613‑5p was identified as a prognostic DE‑miRNA. The functional enrichment analyses demonstrated that the target genes of hsa‑miR‑3613‑5p may be associated with the p53 signaling pathway. Survival analysis performed for genes in the p53 signaling pathway revealed that cyclin‑dependent kinase 6 and ribonucleoside‑diphosphate reductase subunit M2 may be the most likely to be associated with prognostic value. The integrated analysis performed in the current study demonstrated that hsa‑miR‑3613‑5p may be used as a potential prognostic marker for pancreatic cancer.
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September-2020
Volume 20 Issue 3

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
Ma J, Sun S, Song C, Li N, Li N, Xu L, Yang T, Lan Y and Li M: Screening potential microRNAs associated with pancreatic cancer: Data mining based on RNA sequencing and microarrays. Exp Ther Med 20: 2705-2715, 2020
APA
Ma, J., Sun, S., Song, C., Li, N., Li, N., Xu, L. ... Li, M. (2020). Screening potential microRNAs associated with pancreatic cancer: Data mining based on RNA sequencing and microarrays. Experimental and Therapeutic Medicine, 20, 2705-2715. https://doi.org/10.3892/etm.2020.8991
MLA
Ma, J., Sun, S., Song, C., Li, N., Li, N., Xu, L., Yang, T., Lan, Y., Li, M."Screening potential microRNAs associated with pancreatic cancer: Data mining based on RNA sequencing and microarrays". Experimental and Therapeutic Medicine 20.3 (2020): 2705-2715.
Chicago
Ma, J., Sun, S., Song, C., Li, N., Li, N., Xu, L., Yang, T., Lan, Y., Li, M."Screening potential microRNAs associated with pancreatic cancer: Data mining based on RNA sequencing and microarrays". Experimental and Therapeutic Medicine 20, no. 3 (2020): 2705-2715. https://doi.org/10.3892/etm.2020.8991