Volume 9, Issue 1 (5-2022)
J Jiroft Univ Med Sci 2022, 9(1): 853-862 |
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Ali-Hassanzadeh M, Golestan A, Tahmasebi A, Ramezani A. In Silico Identification of NKAIN1 Gene as a Potential Breast Cancer Associated Biomarker and Validation Using Real Time PCR Technique. J Jiroft Univ Med Sci 2022; 9 (1) :853-862
URL: http://journal.jmu.ac.ir/article-1-601-en.html
URL: http://journal.jmu.ac.ir/article-1-601-en.html
1- Assistant Professor, Department of Immunology, School of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran
2- PhD Student in Medical Biotechnology, Institute of Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran / Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
3- Institute of Biotechnology, Shiraz University of Medical Sciences, Shiraz, Iran
4- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran / Assistant Professor, Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran ,: aramezani@sums.ac.ir
2- PhD Student in Medical Biotechnology, Institute of Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran / Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
3- Institute of Biotechnology, Shiraz University of Medical Sciences, Shiraz, Iran
4- Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran / Assistant Professor, Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran ,
Abstract: (2203 Views)
| Introduction: Breast cancer is the most commonly diagnosed cancer and the second leading cause of cancer related deaths in women worldwide. Therefore, cancer screening biomarker, for early detection and diagnosis, is urgently required for timely treatment and better cancer management. The aim of this study was to identify potential biomarkers associated with breast cancer using databases and bioinformatics analyses. Materials and Methods: In this study, an in silico approach was used for the identification of breast cancer associated biomarkers based on transcriptome data. Then, quantitative Real Time PCR technique (qRT-PCR) was used for differential expression analysis of identified biomarker. Results: Analysis of available cancer related databases revealed an association between increased expression of NKAIN1 gene and breast cancer. Moreover, qRT-PCR technique confirmed the increased expression level of this gene in breast tumor tissues compared to normal tissues. Conclusion: According to the results of in silico analysis and RT-PCR quantification, the NKAIN1 mRNA level can be used as a potential biomarker in the diagnosis of breast cancer. |
Type of Study: Research |
Subject:
Medical Sciences / Immunology and Biology
Received: 2022/04/21 | Accepted: 2022/05/28 | Published: 2022/06/20
Received: 2022/04/21 | Accepted: 2022/05/28 | Published: 2022/06/20
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