ArticlePeerJ2019
Integrative transcriptome data mining for identification of core lncRNAs in breast cancer.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 39 citations in OpenAlex.
- Exploring the Spectrum of Long Non-Coding RNA CARMN in Physiological and Pathological Contexts.Biomolecules · 2024Review
- The mechanism and therapeutic potential of lncRNA MIR497HG/miR-16-5p axis in breast cancer.BMC women's health · 2024Article
- A novel LINC00478 serves as a tumor suppressor in endometrial carcinoma progression.Journal of cancer research and clinical oncology · 2023Article
- Role of LncRNA MIR99AHG in breast cancer: Bioinformatic analysis and preliminary verification.Heliyon · 2023Article
- MAT as a promising therapeutic strategy against triple-negative breast cancer via inhibiting PI3K/AKT pathway.Scientific reports · 2023Article
- LINC00478-derived novel cytoplasmic lncRNA LacRNA stabilizes PHB2 and suppresses breast cancer metastasis via repressing MYC targets.Journal of translational medicine · 2023Article
- Review
- Anti-cancer effect of LINC00478 in bladder cancer correlates with KDM1A-dependent MMP9 demethylation.Cell death discovery · 2022Article
- Chlorogenic Acid Prevents Microglia-Induced Neuronal Apoptosis and Oxidative Stress under Hypoxia-Ischemia Environment by Regulating the MIR497HG/miR-29b-3p/SIRT1 Axis.Disease markers · 2022Article
- Identification of Ferroptosis-Related Biomarkers for Prognosis and Immunotherapy in Patients With Glioma.Frontiers in cell and developmental biology · 2022Article
- AC016405.3 functions as an oncogenic long non-coding RNA by regulating ERBB3 via sponging miR-22-3p in breast cancer.Journal of clinical laboratory analysis · 2021Article
- Review
- Nourin-Dependent miR-137 and miR-106b: Novel Early Inflammatory Diagnostic Biomarkers for Unstable Angina Patients.Biomolecules · 2021Article
- Identification and Validation of a Five-Gene Signature Associated With Overall Survival in Breast Cancer Patients.Frontiers in oncology · 2021Article
- Long noncoding RNA MAGI2-AS3 inhibits bladder cancer progression through MAGI2/PTEN/epithelial-mesenchymal transition (EMT) axis.Cancer biomarkers : section A of Disease markers · 2021Article
- Circular RNA circ‑ACACA regulates proliferation, migration and glycolysis in non‑small‑cell lung carcinoma via miR‑1183 and PI3K/PKB pathway.International journal of molecular medicine · 2020Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCumulative evidence suggests that long non-coding RNAs (lncRNAs) play an important role in tumorigenesis. This study aims to identify lncRNAs that can serve as new biomarkers for breast cancer diagnosis or screening.
methodsFirst, the linear fitting method was used to identify differentially expressed genes from the breast cancer RNA expression profiles in The Cancer Genome Atlas (TCGA). Next, the diagnostic value of all differentially expressed lncRNAs was evaluated using a receiver operating characteristic (ROC) curve. Then, the top ten lncRNAs with the highest diagnostic value were selected as core genes for clinical characteristics and prognosis analysis. Furthermore, core lncRNA-mRNA co-expression networks based on weighted gene co-expression network analysis (WGCNA) were constructed, and functional enrichment analysis was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID). The differential expression level and diagnostic value of core lncRNAs were further evaluated by using independent data set from Gene Expression Omnibus (GEO). Finally, the expression status and prognostic value of core lncRNAs in various tumors were analyzed based on Gene Expression Profiling Interactive Analysis (GEPIA).
resultsSeven core lncRNAs (LINC00478, PGM5-AS1, AL035610.1, MIR143HG, RP11-175K6.1, AC005550.4, and MIR497HG) have good single-factor diagnostic value for breast cancer. AC093850.2 has a prognostic value for breast cancer. AC005550.4 and MIR497HG can better distinguish breast cancer patients in early-stage from the advanced-stage. Low expression of MAGI2-AS3, LINC00478, AL035610.1, MIR143HG, and MIR145 may be associated with lymph node metastasis in breast cancer.
conclusionOur study provides candidate biomarkers for the diagnosis and prognosis of breast cancer, as well as a bioinformatics basis for the further elucidation of the molecular pathological mechanism of breast cancer.
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