In Silico Identification of NKAIN1 Gene as a Potential Breast Cancer Associated Biomarker and Validation Using Real Time PCR Technique

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Ali Hassanzadeh Mohammad; GOLESTAN ALI; Tahmasebi Ahmad; RAMEZANI AMIN

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Journal Paper

Paper Information

Journal: Journal of Jiroft University of Medical Sciences Year:2022 | Volume:9 | Issue:1 Page(s): 853-862

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Information Journal Paper

Title

In Silico Identification of NKAIN1 Gene as a Potential Breast Cancer Associated Biomarker and Validation Using Real Time PCR Technique

Author(s)

Ali Hassanzadeh Mohammad | GOLESTAN ALI | Tahmasebi Ahmad | RAMEZANI AMIN | Issue Writer Certificate

Keywords

Breast cancer

NKAIN1

Biomarker

Abstract

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.

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APA: Copy

Ali Hassanzadeh, Mohammad, GOLESTAN, ALI, Tahmasebi, Ahmad, & RAMEZANI, AMIN. (2022). In Silico Identification of NKAIN1 Gene as a Potential Breast Cancer Associated Biomarker and Validation Using Real Time PCR Technique. JOURNAL OF JIROFT UNIVERSITY OF MEDICAL SCIENCES, 9(1 ), 853-862. SID. https://sid.ir/paper/1077818/en

Vancouver: Copy

Ali Hassanzadeh Mohammad, GOLESTAN ALI, Tahmasebi Ahmad, RAMEZANI AMIN. In Silico Identification of NKAIN1 Gene as a Potential Breast Cancer Associated Biomarker and Validation Using Real Time PCR Technique. JOURNAL OF JIROFT UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2022;9(1 ):853-862. Available from: https://sid.ir/paper/1077818/en

IEEE: Copy

Mohammad Ali Hassanzadeh, ALI GOLESTAN, Ahmad Tahmasebi, and AMIN RAMEZANI, “In Silico Identification of NKAIN1 Gene as a Potential Breast Cancer Associated Biomarker and Validation Using Real Time PCR Technique,” JOURNAL OF JIROFT UNIVERSITY OF MEDICAL SCIENCES, vol. 9, no. 1 , pp. 853–862, 2022, [Online]. Available: https://sid.ir/paper/1077818/en

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