A bioinformatics analysis of microRNAs related with breast carcinoma specific gene as a biomarker

Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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CHGGE01_139

تاریخ نمایه سازی: 13 مهر 1401

Abstract:

Backgrounds: Breast cancer is the most common cancer among women worldwide and one ofthe leading causes of cancer deaths. MicroRNAs (miRNAs, miRs), are one of the most potentcancer biomarkers that can be useful in diagnosis and prognosis. Some genes in the breast cancerpathway are oncogene and there are some miRNAs that can make interact with them anddecrease the expression of these genes, so these miRNAs can act as a tumor suppressor. At least,they can be useful in diagnosis, prognosis, and treatment.Materials and Methods: We used the NCBI database to select a specific gene called “CCND۱”.This gene has high expression in breast cancer and it is one of the important genes among othergenes in the breast cancer pathway. We used the KEGG database and found that this is anoncogene. Next, we used the miRTargetLink database and found that there is ۳۸ miRNAinteraction with strong support and ۱۵۶ interactions with weak support with CCND۱. Then weselected some of the miRNAs with strong support (hsa-miR-۱۹۳b-۳p, hsa-miR-۲۴-۳p, hsa-miR-۱۶-۵p, hsa-miR-۳۴a-۵p, hsa-miR-۳۴b-۵p, hsa-miR-۱۷-۵p, hsa-miR-۲۰a-۵p) and used the DianamiRpath V.۲ algorithm to draw a Heatmap and find the expression of these miRNAs.Results: We found that these selected miRNAs that have strong interaction with CCND۱ andthey have high expression in the cell cycle, p۵۳ signaling pathway, and pathways in cancer. Wedemonstrated that CCND۱ has specific roles in these pathways in breast cancer and we foundthat our selected miRNAs have high expression in these pathways.Conclusion: We established that miR-۱۹۳b-۳p, miR-۲۴-۳p, miR-۱۶-۵p, miR-۳۴a-۵p, miR-۳۴b-۵p, miR-۱۷-۵p, miR-۲۰a-۵p have the potential of targeting CCND۱ gene and act as a tumorsuppressor in breast cancer.

Authors

Ali Khalafizadeh

Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran

Seyedeh Donya Hashemizadegan

Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran

Sadegh Babashah

Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran