ArticleWorld journal of surgical oncology2021
Overexpression of CCNE1 confers a poorer prognosis in triple-negative breast cancer identified by bioinformatic analysis.
Article in World journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 29 citations in OpenAlex.
- Tumor-infiltrating lymphocytes in triple-negative breast cancer: molecular mechanisms, spatial regulation, and therapeutic implications.Breast cancer research : BCR · 2026Review
- Deciphering the Effect of Methyl 4‑Hydroxybenzoate on Breast Cancer by Bioinformatics and Experiments.ACS omega · 2026Article
- Bioinformatics Analysis of the miR-15 Family Members and Their Potential Target Genes in Breast Cancer Progression.Advanced biomedical research · 2026Article
- CCNE1 stabilizes ANLN by counteracting FZR1-mediated the ubiquitination modification to promotes triple negative breast cancer cell stemness and progression.Cell death discovery · 2025Article
- Clinical and Multiomic Features Differentiate Young Black and White Breast Cancer Cohorts Derived by Machine Learning Approaches.Clinical breast cancer · 2025Article
- Integrated analysis of hub genes and intrinsically disordered regions in triple-negative breast cancer.Journal, genetic engineering & biotechnology · 2024Article
- Article
- Comprehensive analysis of the metabolomics and transcriptomics uncovers the dysregulated network and potential biomarkers of Triple Negative Breast Cancer.Journal of translational medicine · 2024Article
- Identification of Hub of the Hub-Genes From Different Individual Studies for Early Diagnosis, Prognosis, and Therapies of Breast Cancer.Bioinformatics and biology insights · 2024Article
- Genomic copy number alterations as biomarkers for triple negative pregnancy-associated breast cancer.Cellular oncology (Dordrecht, Netherlands) · 2022Article
- Gene expression profile analysis to discover molecular signatures for early diagnosis and therapies of triple-negative breast cancer.Frontiers in molecular biosciences · 2022Article
- Identification of tumor antigens and immunogenic cell death-related subtypes for the improvement of immunotherapy of breast cancer.Frontiers in cell and developmental biology · 2022Article
- Article
- Bioinformatics Analysis Reveals the Related Role of miR-511-5p in the Progression of Breast Cancer.Journal of healthcare engineering · 2022Article
- Comprehensive analysis of the cancer driver genes in breast cancer demonstrates their roles in cancer prognosis and tumor microenvironment.World journal of surgical oncology · 2021Article
- Over-expression of SRD5A3 and its prognostic significance in breast cancer.World journal of surgical oncology · 2021Article
- Clinical application of gelatin sponge microparticles combined with pirarubicin for hepatic transcatheter arterial chemoembolization in breast cancer liver metastasis treatment: results of a single-center long-term study.World journal of surgical oncology · 2021Article
- miR-497 inhibits proliferation and invasion in triple-negative breast cancer cells via YAP1.Oncology letters · 2021Article
- In silico analysis of differentially expressed genesets in metastatic breast cancer identifies potential prognostic biomarkers.World journal of surgical oncology · 2021Article
- Triple-negative Breast Cancer: Identification of circRNAs With Efficacy in PreclinicalCancer genomics & proteomicsReview
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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
backgroundTriple-negative breast cancer (TNBC) is a major subtype of breast cancer. Due to the lack of effective therapeutic targets, the prognosis is poor. In order to find an effective target, despite many efforts, the molecular mechanisms of TNBC are still not well understood which remain to be a profound clinical challenge.
methodsTo identify the candidate genes in the carcinogenesis and progression of TNBC, microarray datasets GSE36693 and GSE65216 were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and functional and pathway enrichment analyses were performed using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases via DAVID. We constructed the protein-protein interaction network (PPI) and performed the module analysis using STRING and Cytoscape. Then, we reanalyzed the selected DEG genes, and the survival analysis was performed using cBioportal.
resultsA total of 140 DEGs were identified, consisting of 69 upregulated genes and 71 downregulated genes. Three hub genes were upregulated among the selected genes from PPI, and biological process analysis uncovered the fact that these genes were mainly enriched in p53 pathway and the pathways in cancer. Survival analysis showed that only CCNE1 may be involved in the carcinogenesis, invasion, or recurrence of TNBC. The expression levels of CCNE1 were significantly higher in TNBC cells than non-TNBC cells that were detected by qRT-PCR (P < 0.05).
conclusionCCNE1 could confer a poorer prognosis in TNBC identified by bioinformatic analysis and plays key roles in the progression of TNBC which may contribute potential targets for the diagnosis, treatment, and prognosis assessment of TNBC.
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