ArticleFrontiers in genetics2021
Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression.
Article in Frontiers in genetics, 2021. 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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10 citing papers in PubMed, 16 citations in OpenAlex.
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- Unveiling the impact of interferon genes on the immune microenvironment of triple-negative breast cancer: identification of therapeutic targets.Frontiers in bioinformatics · 2025Article
- Altered methylation of imprinted genes in neuroblastoma: implications for prognostic refinement.Journal of translational medicine · 2024Article
- Transcriptional Profiling of SARS-CoV-2-Infected Calu-3 Cells Reveals Immune-Related Signaling Pathways.Pathogens (Basel, Switzerland) · 2023Article
- An innovative systematic approach introduced the involved lncRNA-miR-mRNA network in cell cycle and proliferation after conventional treatments in breast cancer patients.Cell cycle (Georgetown, Tex.) · 2022Article
- A novel Cuproptosis-related LncRNA signature to predict prognosis in hepatocellular carcinoma.Scientific reports · 2022Article
- The double agents in liquid biopsy: promoter and informant biomarkers of early metastases in breast cancer.Molecular cancer · 2022Review
- Low Expression of Long Noncoding RNA SLC26A4 Antisense RNA 1 Is an Independent Prognostic Biomarker and Correlate of Immune Infiltrates in Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2021Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is one of the most common malignant tumors in women and is the second leading cause of cancer deaths among women. The tumorigenesis and progression of breast cancer are not well understood. The existing researches have indicated that non-coding RNAs, which mainly include long non-coding RNA (lncRNA) and microRNA (miRNA), have gradually become important regulators of breast cancer. We aimed to screen the differential expression of miRNA and lncRNA in the different breast cancer stages and identify the key non-coding RNA using TCGA data. Based on series test of cluster (STC) analysis, bioinformatics analysis, and negatively correlated relationships, 122 lncRNAs, 67 miRNAs, and 119 mRNAs were selected to construct the regulatory network of lncRNA and miRNA. It was shown that the miR-93/20b/106a/106b family was at the center of the regulatory network. Furthermore, 6 miRNAs, 10 lncRNAs, and 15 mRNAs were significantly associated with the overall survival (OS, log-rank
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