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Identifying pancreatic cancer‑associated miRNAs using weighted gene co‑expression network analysis

  • Authors:
    • Pengfei Lyu
    • Zhengwen Hao
    • Haoruo Zhang
    • Jun Li

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  • Published online on: July 5, 2022     https://doi.org/10.3892/ol.2022.13417
  • Article Number: 297
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Abstract

Pancreatic cancer is a common type of gastrointestinal tumour throughout the world and is characterised by high malignancy rates and poor prognosis. Studies indicated that early and effective diagnosis is key to prolonging patients' overall survival, particularly in the case of fluid biopsy. Given this, the present study was designed to evaluate the expression profile arrays of patients with pancreatic cancer from the Gene Expression Omnibus database in an effort to identify differentially expressed microRNAs (miRNAs/miRs) that may be suitable for application in liquid biopsy‑based diagnostics. Suitable miRNA candidates were identified using a weighted correlation network analysis (WGCNA) and key differentially expressed miRNAs were verified using reverse transcription‑quantitative PCR. WGCNA identified 11 differentially expressed miRNAs (miR‑155‑5p, miR‑4668‑5p, miR‑3613‑3p, miR‑3201, miR‑548ac, miR‑486‑5p, miR‑548a‑3p, miR‑8084, miR‑455‑3p, miR‑6068 and miR‑1246). Of these, miR‑4668‑5p was indicated to have the highest number of associated modules, making it most likely to be of diagnostic value. Thus, the present analysis identified 11 miRNAs associated with pancreatic cancer and further identified miR‑4668‑5p as a potential biomarker for pancreatic cancer diagnosis.
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September-2022
Volume 24 Issue 3

Print ISSN: 1792-1074
Online ISSN:1792-1082

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  • Impact Factor: 2.5
  • Ranked Oncology
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  • CiteScore: 5.7
  • CiteScore Rank: Q2: #139/404 Oncology
  • Source Normalized Impact per Paper (SNIP): 0.574
  • SCImago Journal Rank (SJR): 0.644
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Spandidos Publications style
Lyu P, Hao Z, Zhang H and Li J: Identifying pancreatic cancer‑associated miRNAs using weighted gene co‑expression network analysis. Oncol Lett 24: 297, 2022.
APA
Lyu, P., Hao, Z., Zhang, H., & Li, J. (2022). Identifying pancreatic cancer‑associated miRNAs using weighted gene co‑expression network analysis. Oncology Letters, 24, 297. https://doi.org/10.3892/ol.2022.13417
MLA
Lyu, P., Hao, Z., Zhang, H., Li, J."Identifying pancreatic cancer‑associated miRNAs using weighted gene co‑expression network analysis". Oncology Letters 24.3 (2022): 297.
Chicago
Lyu, P., Hao, Z., Zhang, H., Li, J."Identifying pancreatic cancer‑associated miRNAs using weighted gene co‑expression network analysis". Oncology Letters 24, no. 3 (2022): 297. https://doi.org/10.3892/ol.2022.13417