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Screening differentially expressed genes of pancreatic cancer between Mongolian and Han people using bioinformatics technology.

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  • Author(s): Xu J;Xu J; Liao K; Liao K; Fu Z; Fu Z; Xiong Z; Xiong Z
  • Source:
    BMC cancer [BMC Cancer] 2020 Apr 09; Vol. 20 (1), pp. 298. Date of Electronic Publication: 2020 Apr 09.
  • Publication Type:
    Comparative Study; Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407 (Electronic) Linking ISSN: 14712407 NLM ISO Abbreviation: BMC Cancer Subsets: MEDLINE
    • Publication Information:
      Original Publication: London : BioMed Central, [2001-
    • Subject Terms:
      Transcriptome*; Carcinoma, Pancreatic Ductal/*genetics ; Genes, Neoplasm/*genetics; Adult ; Aged ; Asian People ; Carcinoma, Pancreatic Ductal/metabolism ; China ; Collagen Type XI/genetics ; Computational Biology ; Female ; Gene Expression Regulation, Neoplastic ; Gene Ontology ; Humans ; Male ; Middle Aged ; Mongolia/ethnology ; Signal Transduction
    • Abstract:
      Background: To screen and analyze differentially expressed genes in pancreatic carcinoma tissues taken from Mongolian and Han patients by Affymetrix Genechip.
      Methods: Pancreatic ductal cell carcinoma tissues were collected from the Mongolian and Han patients undergoing resection in the Second Affiliated Hospital of Nanchang University from March 2015 to May 2018 and the total RNA was extracted. Differentially expressed genes were selected from the total RNA qualified by Nanodrop 2000 and Agilent 2100 using Affymetrix and a cartogram was drawn; The gene ontology (GO) analysis and Pathway analysis were used for the collection and analysis of biological information of these differentially expressed genes. Finally, some differentially expressed genes were verified by real-time PCR.
      Results: Through the microarray analysis of gene expression, 970 differentially expressed genes were detected by comparing pancreatic cancer tissue samples between Mongolian and Han patients. A total of 257 genes were significantly up-regulated in pancreatic cancer tissue samples in Mongolian patients; while a total of 713 genes were down-regulated. In the Gene Ontology database, 815 differentially expressed genes were identified with clear GO classification, and CPB1 gene showed the highest increase in expression level (multiple difference: 31.76). The pathway analysis detected 28 signaling pathways that included these differentially expressed genes, involving a total of 178 genes. Among these pathways, the enrichment of differentially expressed genes in the FAK signaling pathway was the strongest and COL11A1 gene showed the highest multiple difference (multiple difference: 5.02). The expression of differentially expressed genes CPB1, COL11A1、ITGA4、BIRC3、PAK4、CPA1、CLPS、PIK3CG and HLA-DPA1 determined by real-time PCR were consistent with the results of gene microarray analysis.
      Conclusions: The results of microarray analysis of gene expression profiles showed that there are a large number of differentially expressed genes in pancreatic cancer tissue samples comparing Mongolian and Han population. These genes are closely related to the cell proliferation, differentiation, invasion, metastasis and multi-drug resistance in pancreatic cancer. They are also involved in the regulation of multiple important signaling pathways in organisms.
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    • Contributed Indexing:
      Keywords: Affymetrix gene expression profile; GO analysis; Gene differential expression; Mongolian; Pancreatic ductal cell carcinoma; Pathway analysis
    • Accession Number:
      0 (COL11A1 protein, human)
      0 (Collagen Type XI)
    • Publication Date:
      Date Created: 20200411 Date Completed: 20210101 Latest Revision: 20221207
    • Publication Date:
      20250114
    • Accession Number:
      PMC7147062
    • Accession Number:
      10.1186/s12885-020-06722-7
    • Accession Number:
      32272917