ArticleBiochemical genetics2021
An Integrated Data Analysis of mRNA, miRNA and Signaling Pathways in Pancreatic Cancer.
Article in Biochemical genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Prognostic value of sarcopenia in aortic valve replacement: a systematic review and meta-analysis.Frontiers in nutrition · 2025Pooled it
- Characterization and biological health implications of microRNAs from human milk and infant formulas.NPJ science of food · 2025Review
- Functional Characterization of miR-216a-5p and miR-125a-5p on Pancreatic Cancer Stem Cells.International journal of molecular sciences · 2025Article
- Unveiling the microRNA landscape in pancreatic ductal adenocarcinoma patients and cancer cell models.BMC cancer · 2024Article
- Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer.Scientific reports · 2023Article
- Identification of the key miRNA-mRNA regulatory network in lung adenocarcinoma.Journal of thoracic disease · 2023Article
- Expression of Selected miRNAs in Normal and Cancer-Associated Fibroblasts and in BxPc3 and MIA PaCa-2 Cell Lines of Pancreatic Ductal Adenocarcinoma.International journal of molecular sciences · 2023Article
- MicroRNAs and long non-coding RNAs in pancreatic cancer: From epigenetics to potential clinical applications.Translational oncology · 2023Article
- SMC4, a novel tumor prognostic marker and potential tumor therapeutic target.Frontiers in oncology · 2023Review
- Developing and validating a survival prediction model based on blood exosomal ceRNA network in patients with PAAD.BMC medical genomics · 2022Article
- Construction of a miRNA-Based Nomogram Model to Predict the Prognosis of Endometrial Cancer.Journal of personalized medicine · 2022Article
- Identification of ferroptosis-related genes as potential biomarkers of tongue squamous cell carcinoma using an integrated bioinformatics approach.FEBS open bio · 2022Article
- Identification of Two CDK5R1-Related Subtypes and Characterization of Immune Infiltrates in Alzheimer's Disease Based on an Integrated Bioinformatics Analysis.Computational and mathematical methods in medicine · 2022Article
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- A multi-omics machine learning framework in predicting the recurrence and metastasis of patients with pancreatic adenocarcinoma.Frontiers in microbiology · 2022Article
- Bioinformatics analysis identifies immune-related gene signatures and subtypes in diabetic nephropathy.Frontiers in endocrinology · 2022Article
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- DT389-YP7, a Recombinant Immunotoxin against Glypican-3 That Inhibits Hepatocellular Cancer Cells: An In Vitro Study.Toxins · 2021Article
- Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although many genes and miRNAs have been reported for various cancers, pancreatic cancer's specific genes or miRNAs have not been studied precisely yet. Therefore, we have analyzed the gene and miRNA expression profile of pancreatic cancer data in the gene expression omnibus (GEO) database. The microarray-derived miRNAs and mRNAs were annotated by gene ontology (GO) and signaling pathway analysis. We also recognized mRNAs that were targeted by miRNA through the mirDIP database. An integrated analysis of the microarray revealed that only 6 out of 43 common miRNAs had significant differences in their expression profiles between the tumor and normal groups (P value < 0.05 and |log Fold Changes (logFC)|> 1). The hsa-miR-210 had upregulation, whereas hsa-miR-375, hsa-miR-216a, hsa-miR-217, hsa-miR-216b and hsa-miR-634 had downregulation in pancreatic cancer (PC). The analysis results also revealed 109 common mRNAs by microarray and mirDIP 4.1 databases. Pathway analysis showed that amoebiasis, axon guidance, PI3K-Akt signaling pathway, absorption and focal adhesion, adherens junction, platelet activation, protein digestion, human papillomavirus infection, extracellular matrix (ECM) receptor interaction, and riboflavin metabolism played important roles in pancreatic cancer. GO analysis revealed the significant enrichment in the three terms of biological process, cellular component, and molecular function, which were identified as the most important processes associated strongly with pancreatic cancer. In conclusion, DTL, CDH11, COL5A1, ITGA2, KIF14, SMC4, VCAN, hsa-mir-210, hsa-mir-217, hsa-mir-216a, hsa-mir-216b, hsa-mir-375 and hsa-mir-634 can be reported as the novel diagnostic or even therapeutic markers for the future studies. Also, the hsa-mir-107 and hsa-mir-125a-5p with COL5A1, CDH11 and TGFBR1 genes can be introduced as major miRNA and genes on the miRNA-drug-mRNA network. The new regulatory network created in our study could give a deeper knowledge of the pancreatic cancer.
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