biostudies-literatureUnknown24(3)Lyu PPancreatic 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. WGOncology letters297https://www.ebi.ac.uk/biostudies/studies/S-EPMC9353221biostudies-literatureIdentifying pancreatic cancer-associated miRNAs using weighted gene co-expression network analysis.PMC9353221Li JHao ZZhang HLyu PfalseIdentifying pancreatic cancer-associated miRNAs using weighted gene co-expression network analysis.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. WG2022-01-01T00:00:00Z2022 Sep2025-04-22T09:47:33.11Z2025-04-05T23:16:47.512ZS-EPMC93532213594961210.3892/ol.2022.13417