Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation

Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation Publisher

Kalantari S¹ ; Pourshams A² ; Roudi R³ ; Zali H⁴ ; Bandehpour M⁵ ; Kalantari A⁶ ; Ghanbari R⁷ ; Dangelo A⁸ ; Kazemi B⁹ ; Madjd Z¹⁰

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

Source: Biomedical and Biotechnology Research Journal Published:2021

Abstract

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. © 2021 BMJ Publishing Group. All rights reserved.

2. A Review of the Etiology and Biomarkers of Pancreatic Cancer, With Emphasis on the Role of Diabetes: Review Article, Tehran University Medical Journal (2018)

3. The Potential Role of Chitosan-Based Nanoparticles As Drug Delivery Systems in Pancreatic Cancer, IUBMB Life (2020)

4. Higher Intake of Dietary Fiber, But Not Fruits or Vegetables Is Associated With Lower Risk of Pancreatic Cancer: A Large Prospective Study, Govaresh (2017)

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Akram Pourshams (3)

Reza Malekzadeh (1)

Style	Citing Format
MLA	Kalantari S, et al.. "Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation." Biomedical and Biotechnology Research Journal, vol. 5, no. 3, 2021, pp. 286-294.
APA	Kalantari S, Pourshams A, Roudi R, Zali H, Bandehpour M, Kalantari A, Ghanbari R, Dangelo A, Kazemi B, Madjd Z (2021). Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation. Biomedical and Biotechnology Research Journal, 5(3), 286-294.
Chicago	Kalantari S, Pourshams A, Roudi R, Zali H, Bandehpour M, Kalantari A, Ghanbari R, Dangelo A, Kazemi B, Madjd Z. "Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation." Biomedical and Biotechnology Research Journal 5, no. 3 (2021): 286-294.
Harvard	Kalantari S et al. (2021) 'Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation', Biomedical and Biotechnology Research Journal, 5(3), pp. 286-294.
Vancouver	Kalantari S, Pourshams A, Roudi R, Zali H, Bandehpour M, Kalantari A, et al.. Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation. Biomedical and Biotechnology Research Journal. 2021;5(3):286-294.
BibTex	@article{ author = {Kalantari S and Pourshams A and Roudi R and Zali H and Bandehpour M and Kalantari A and Ghanbari R and Dangelo A and Kazemi B and Madjd Z}, title = {Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation}, journal = {Biomedical and Biotechnology Research Journal}, volume = {5}, number = {3}, pages = {286-294}, year = {2021} }
RIS	TY - JOUR AU - Kalantari S AU - Pourshams A AU - Roudi R AU - Zali H AU - Bandehpour M AU - Kalantari A AU - Ghanbari R AU - Dangelo A AU - Kazemi B AU - Madjd Z TI - Identification of Potential Common Molecular Factors of Pancreatic Cancer and Diabetes Mellitus Using Microarray Data Analysis Combined With Bioinformatics Techniques and Experimental Validation JO - Biomedical and Biotechnology Research Journal VL - 5 IS - 3 SP - 286 EP - 294 PY - 2021 ER -

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