• Users Online: 169
  • Print this page
  • Email this page
ORIGINAL ARTICLE
Year : 2021  |  Volume : 5  |  Issue : 3  |  Page : 286-294

Identification of potential common molecular factors of pancreatic cancer and diabetes mellitus using microarray data analysis combined with bioinformatics techniques and experimental validation


1 Department of Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 Liver and Pancreatobiliary Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
3 Department of Medicine, University of Minnesota Medical School, Minneapolis, USA
4 Proteomics Research Center; Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
5 Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
6 Department of Hematology, Faculty of Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
7 Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
8 Department of Biology and Biochemistry, University of Bath, Bath, UK
9 Department of Biotechnology, School of Advanced Technologies in Medicine; Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
10 Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran

Correspondence Address:
Bahram Kazemi
School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/bbrj.bbrj_122_21

Rights and Permissions

Background and Aim: Detection of early-stage pancreatic cancer (PaC) patients can decrease the mortality rate through surgical resection thanks to a screening approach of high-risk and asymptomatic individuals. Up to 80% of PaC patients are either hyperglycemic or diabetic at the time of diagnosis. Diabetes mellitus (DM) identification as an early manifestation of PaC may lead to detection of this malignancy at early and presymptomatic stages. Therefore, the current study aims to identify common molecular factors between DM and PaC to shed light on a potential screening for DM as a diagnostic approach for PaC. Methods: The study was divided into three steps including dataset selection and identification of key genes, quantitative real-time polymerase chain reaction (qRT-PCR) to validate these genes, and enrichment analysis of their target genes. Results: Using GEO2R analysis, conducted on microarray dataset (GSE15932), SPI1 and Yin Yang 1 (YY1) genes were found to be expressed in peripheral blood mononuclear cells of PaC, DM, and PaC + DM patients. Moreover, qRT-PCR results in validation of microarray data showed a significant increment of these two genes among all patient groups. Furthermore, enrichment analyses of SPI1 and YY1 target genes revealed that they are mainly expressed in hematopoietic cells and associated with immune responses as well as immune signaling pathways. Discussion: We speculate that this study on SPI1 and YY1 genes and their targets can result in a successful strategy to investigate diabetes as a screening step for better management of PaC screening using standard serologic tests.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed320    
    Printed4    
    Emailed0    
    PDF Downloaded44    
    Comments [Add]    

Recommend this journal