ArticleMolecular medicine reports2015
Genomic expression profiling and bioinformatics analysis of pancreatic cancer.
Article in Molecular medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Decreased Risk in the Pancreatic Cancer With History of Hay Fever: A Meta-Analysis.Frontiers in public health · 2020Pooled it
- Beyond the Usual Suspects: Examining the Role of Understudied Histone Variants in Breast Cancer.International journal of molecular sciences · 2024Review
- An Integrated Data Analysis of mRNA, miRNA and Signaling Pathways in Pancreatic Cancer.Biochemical genetics · 2021Article
- Article
- Identification of genes and pathways in esophageal adenocarcinoma using bioinformatics analysis.Biomedical reports · 2018Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic cancer is a polygenic disease and the fourth leading cause of cancer-associated mortality worldwide; however, the tumorigenesis of pancreatic cancer remains poorly understood. Research at a molecular level, which includes the exploration of biomarkers for early diagnosis and specific targets for therapy, may effectively aid in the diagnosis of pancreatic cancer in its early stages and in the development of targeted molecular‑biological approaches for treatment, thus improving prognosis. By conducting expression profiling in para‑carcinoma, carcinoma and relapse of human pancreatic tissues, 319 genes or transcripts with differential expression levels >3‑fold between these tissue types were identified. Further analysis with Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes demonstrated that the translation, nucleus assembly processes and molecular functions associated with vitamin B6 and pyridoxal phosphate binding in pancreatic carcinoma were abnormal. Pancreatic cancer was additionally identified to be closely associated with certain autoimmune diseases, including type I diabetes mellitus and systemic lupus erythematosus.
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Registered trials
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