ArticleMedical science monitor : international medical journal of experimental and clinical research2022
Identification of Key Genes Associated with Brain Metastasis from Breast Cancer: A Bioinformatics Analysis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 9 citations in OpenAlex.
- Decoding the Collagenome in Breast Cancer: Mechanotransduction, Microenvironment, and Translational Opportunities.International journal of molecular sciences · 2026Review
- Integrative CSF profiling identifies disease-specific immune responses in leptomeningeal disease.Cell reports. Medicine · 2026Article
- Identification of Critical Genes Related to Breast Cancer with Brain Metastasis Through Bioinformatics Analysis.Current medicinal chemistry · 2026Article
- 5Z-7-Oxozeanol Isolated from the FungusMarine drugs · 2025Article
- Bioinformatic Characterization of Genes That Are Correlated to the Progression of Breast Cancer to Breast Cancer Brain Metastasis.Cancer reports (Hoboken, N.J.) · 2025Article
- Bioinformatics and Omics-based Perspectives on Breast Cancer: Advancing Target Gene Identification for the Development of Anticancer Agents.Asian Pacific journal of cancer prevention : APJCP · 2025Review
- Key genes associated with brain metastasis in non-small cell lung cancer: novel insights from bioinformatics analysis.Frontiers in bioinformatics · 2025Article
- Identification of key genes in HER2-positive breast cancer with brain metastasis via bioinformatics methods.Translational cancer research · 2023Article
- Revealing the Potential Markers of N(4)-Acetylcytidine through acRIP-seq in Triple-Negative Breast Cancer.Genes · 2022Article
- Development of anti-membrane type 1-matrix metalloproteinase nanobodies as immunoPET probes for triple negative breast cancer imaging.Frontiers in medicine · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND As the second most frequent factor of brain metastasis worldwide, breast cancer and its pathogenesis have been researched intensively. Nevertheless, the molecular mechanisms of brain metastasis from breast cancer (BMBC) remain uncertain. The purpose of this study was to explore the key genes concerning the prognosis of BMBC and identify their predictive value. MATERIAL AND METHODS Obtained from the Gene Expression Omnibus (GEO) database, microarray datasets GSE125989, GSE52604, and GSE159956 were used to identify the differentially expressed genes (DEGs) and perform function enrichment analysis. RESULTS Of a total of 240 DEGs, 113 genes were upregulated and 127 genes were downregulated. The protein-protein interaction (PPI) was performed through STRING, and 29 hub genes were screened through Cytoscape. After being examined through the cBioportal online platform and the Oncomine database, 8 key genes were finally obtained, including COL14A1, COL3A1, COL6A3, THY1, MMP14, GAP43, PTPRN, and SNAP25. In the validation dataset GSE46928, COL14A1 was shown to have predictive significance of brain metastasis in breast cancer. CONCLUSIONS The key genes explored in this article could assist in identifying the molecular mechanism of BMBC. Also, COL14A1, COL3A1, COL6A3, THY1, MMP14, GAP43, PTPRN, and SNAP25 might be candidate targets for diagnosis and treatment of BMBC, and COL3A1 might have predictive value.
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