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Association between ankyrin 2 gene and breast cancer progression: A preliminary computational assessment using the database approach
- Source :
- Informatics in Medicine Unlocked, Vol 25, Iss , Pp 100663- (2021)
- Publication Year :
- 2021
- Publisher :
- Elsevier, 2021.
-
Abstract
- Breast cancer (BC) is considered the second leading cause of cancer-related death in women. Accurate diagnosis is thus of utmost importance to avoid the burden of BC. Ankyrin 2 (ANK2) encodes the structural membrane adapter protein ankyrin-B, which is ubiquitously expressed in the human body. In this study, bioinformatics tools were used to determine whether ANK2 could be used as a diagnostic and prognostic biomarker in BC. ANK2 expression was analyzed using ONCOMINE, UALCAN, GEPIA2, and GENT2. Data from these servers showed the downregulated expression of ANK2 in BC relative to that in normal tissue. Further, downregulated ANK2 expression was found in such conditions as estrogen receptor-negative, human epidermal growth factor receptor 2-positive, positive nodal status, basal-like tumor, and triple-negative breast cancer, according to the data from the bc-GenExMiner v4.5 server. Analysis of 18 BC studies retrieved from the cBioPortal database revealed 88 missense mutations with 0.46%–5.09% copy number alterations in the ANK2 gene sequence. Additionally, a positive correlation between downregulated ANK2 expression and reduced survival probability of BC patients was revealed by a Kaplan–Meier plotter. Moreover, chordin-like 1, a tumor suppressor, was highly co-expressed with ANK2, as shown by the ONCOMINE, UCSC Xena, and GEPIA2 tools. The signaling pathways and gene ontologies of ANK2 and its co-expressed genes were identified using the Enrichr platform. The present results suggest that the ANK2 may serve as a biomarker for diagnosis, prognosis, and therapeutic purposes in BC.
Details
- Language :
- English
- ISSN :
- 23529148
- Volume :
- 25
- Issue :
- 100663-
- Database :
- Directory of Open Access Journals
- Journal :
- Informatics in Medicine Unlocked
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.525a4666e5354397a35b588fb065b1bd
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.imu.2021.100663