ArticleMedical science monitor : international medical journal of experimental and clinical research2018
Possible Molecular Markers for the Diagnosis of Pancreatic Ductal Adenocarcinoma.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
- Identification of key hub genes in pancreatic ductal adenocarcinoma: an integrative bioinformatics study.Frontiers in bioinformatics · 2025Article
- Spliceosomic dysregulation in pancreatic cancer uncovers splicing factors PRPF8 and RBMX as novel candidate actionable targets.Molecular oncology · 2024Article
- Emerging horizons on molecular and circulating biomarkers in pancreatic adenocarcinoma.Frontiers in oncology · 2024Review
- Alternative splicing regulation and its therapeutic potential in bladder cancer.Frontiers in oncology · 2024Review
- Splicing alterations in pancreatic ductal adenocarcinoma: a new molecular landscape with translational potential.Journal of experimental & clinical cancer research : CR · 2023Review
- Pancreatic Cancer: Genetic Conditions and Epigenetic Alterations.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023Review
- Nucleoporin 107 is a prognostic biomarker in hepatocellular carcinoma associated with immune infiltration.Cancer medicine · 2023Article
- Comprehensive analysis of ZFPM2-AS1 prognostic value, immune microenvironment, drug sensitivity, and co-expression network: from gastric adenocarcinoma to pan-cancers.Discover oncology · 2022Article
- Targeting HNRNPU to overcome cisplatin resistance in bladder cancer.Molecular cancer · 2022Article
- ITGA2, LAMB3, and LAMC2 may be the potential therapeutic targets in pancreatic ductal adenocarcinoma: an integrated bioinformatics analysis.Scientific reports · 2021Article
- PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based on gene expression.BMC cancer · 2020Article
- CX-5461 Inhibits Pancreatic Ductal Adenocarcinoma Cell Growth, Migration and Induces DNA Damage.Molecules (Basel, Switzerland) · 2019Article
- Oncogenic potential of nucleoporins in non-hematological cancers: recent update beyond chromosome translocation and gene fusion.Journal of cancer research and clinical oncology · 2019Review
- Identification of potential hub genes associated with the pathogenesis and prognosis of pancreatic duct adenocarcinoma using bioinformatics meta-analysis of multi-platform datasets.Oncology letters · 2019Article
- Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.Bioscience reports · 2019Article
- Gene set enrichment analysis and meta-analysis to identify six key genes regulating and controlling the prognosis of esophageal squamous cell carcinoma.Journal of thoracic disease · 2018Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND We aimed to identify pivotal genes and pathways involved in pancreatic ductal adenocarcinoma (PDAC), and explore possible molecular markers for the early diagnosis of the disease. MATERIAL AND METHODS The array data of GSE74629, including 34 PDAC samples and 16 healthy samples, was downloaded from GEO (Gene Expression Omnibus) database. Then, the DEGs (differentially expressed genes) in PDAC samples were compared with healthy samples using limma (linear models for microarray). Gene functional interaction networks were analyzed with Cytoscape and ReactomeFIViz. PPI networks were constructed with Cytoscape software. In addition, PPI (protein-protein interaction) network clustering modules were analyzed with ClusterONE, and the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses for modules were performed. RESULTS A total of 630 upregulated and 1,002 downregulated DEGs were identified in PDAC samples compared with healthy samples. Some ribosomal protein genes with higher average correlation in module 0 were enriched in the ribosome pathway. NUP107 (nucleoporin 107 kDa) and NUP160 (nucleoporin 160 kDa) were enriched in module 3. HNRNPU (heterogeneous nuclear ribonucleoprotein U) with higher average correlation in module 8 was enriched in the spliceosome pathway. The ribosome pathway and the spliceosome pathway were significantly enriched in cluster 1 and cluster 2, respectively. CONCLUSIONS Ribosomal protein genes Nup170, Nup160, and HNRNPU, and the ribosome pathway as well as the spliceosome pathway may play important roles in PDAC progression. In addition, ribosomal protein genes Nup170, Nup160, and HNRNPU may be used as possible molecular markers for the early diagnosis of the disease.
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