ArticleOncoTargets and therapy2021
Integrated Profiling Identifies CCNA2 as a Potential Biomarker of Immunotherapy in Breast Cancer.
Article in OncoTargets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 26 citations in OpenAlex.
- Decoding dry eye disease based on bioinformatics and in vitro experimental: the role of immune responses and natural product intervention.Human genomics · 2026Article
- Exploring the causal role and mechanism of galanin in glioblastoma: integration of mendelian randomization, network analysis, molecular docking and experimental validation.Frontiers in pharmacology · 2026Article
- Identification of Immune-Related Lactylation Genes in Rheumatoid Arthritis With Atherosclerosis: A Comprehensive Analysis Using Bulk and Single-Cell RNA Sequencing Data.Mediators of inflammation · 2026Article
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- Integrated analysis of hub genes and intrinsically disordered regions in triple-negative breast cancer.Journal, genetic engineering & biotechnology · 2024Article
- CCNA2 and NEK2 regulate glioblastoma progression by targeting the cell cycle.Oncology letters · 2024Article
- Role of ferroptosis-related genes in coronary atherosclerosis and identification of key genes: integration of bioinformatics analysis and experimental validation.BMC cardiovascular disorders · 2022Article
- Predicting prognosis and clinical features of the tumor microenvironment based on ferroptosis score in patients with breast cancer.Scientific reports · 2022Article
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- Characterization of Cell Cycle-Related Competing Endogenous RNAs Using Robust Rank Aggregation as Prognostic Biomarker in Lung Adenocarcinoma.Frontiers in oncology · 2022Article
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- CCNA2 as an Immunological Biomarker Encompassing Tumor Microenvironment and Therapeutic Response in Multiple Cancer Types.Oxidative medicine and cellular longevity · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionBreast cancer is the main reason for cancer-related deaths in women and the most common malignant cancer among women. In recent years, immunosuppressive factors have become a new type of treatment for cancer. However, there are no effective biomarkers for breast cancer immunotherapy. Therefore, exploring immune-related biomarkers is presently an important topic in breast cancer.
methodsGene expression profile data of breast cancer from The Cancer Genome Atlas (TCGA) was downloaded. Scale-free gene co-expression networks were built with weighted gene co-expression network analysis. The correlation of genes was performed with Pearson's correlation values. The potential associations between clinical features and gene sets were studied, and the hub genes were screened out. Gene Ontology and gene set enrichment analysis were used to reveal the function of hub gene in breast cancer. The gene expression profiles of GSE15852, downloaded from the Gene Expression Omnibus database, were used for hub gene verification. In addition, candidate biomarkers expression in breast cancer was studied. Survival analysis was performed using Log rank test and Kaplan-Meier. Immunohistochemistry was used to analyze the expression of
resultsA total of 6 modules related to immune cell infiltration were identified via the average linkage hierarchical clustering. According to the threshold criteria (module membership >0.9 and gene significance >0.35), a significant module consisting of 13 genes associated with immune cells infiltration were identified as candidate hub genes after performed with the human protein interaction network. And 3 genes with high correlation to clinical traits were identified as hub genes, which were negatively associated with the overall survival. Among them, the expression of DISCUSSION:
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