Integrated Analysis of Circular RNA Associated Cerna Network Reveals Potential CircRNA Biomarkers in Human Breast Cancer
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Summary
A better understanding of the circRNA-related ceRNA network in BRCA will help identify potential biomarkers for diagnosis and prognosis and provide an effective bioinformatics basis for further understanding the molecular mechanisms and predictions of breast cancer.
- Type
- preprint
- Published
- 2020-10-14
- Cited by
- 6
- References
- 43
- Access
- Open access
- OpenAlex
- https://openalex.org/W3116986091
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:234651740
Keywords
Competing endogenous RNA, Circular RNA, Breast cancer, Computational biology, Human breast
References
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- Overexpression, Amplification, and Androgen Regulation of TPD52 in Prostate Cancer
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- Dual targeting of ANGPT1 and TGFBR2 genes by miR-204 controls angiogenesis in breast cancer
- Comprehensive profile of differentially expressed circular RNAs reveals that hsa_circ_0000069 is upregulated and promotes cell proliferation, migration, and invasion in colorectal cancer
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- Cancer statistics, 2017
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- Circular RNA circMTO1 acts as the sponge of microRNA‐9 to suppress hepatocellular carcinoma progression
- miR-204 regulates the biological behavior of breast cancer MCF-7 cells by directly targeting FOXA1.
- miR-100-5p inhibition induces apoptosis in dormant prostate cancer cells and prevents the emergence of castration-resistant prostate cancer
Cited by
- Identification of potentially functional circular RNAs hsa_circ_0070934 and hsa_circ_0004315 as prognostic factors of hepatocellular carcinoma by integrated bioinformatics analysis
- Integrated Analysis of Circular RNA-Associated ceRNA Network Reveals Potential circRNA Biomarkers in Human Breast Cancer
- Upregulation of circ_0008812 and circ_0001583 predicts poor prognosis and promotes breast cancer proliferation
- PI3K/AKT/mTOR signaling pathway modulation by circular RNAs in breast cancer progression.
- The diagnostic potential of a circRNA–miRNA network in non-small cell lung cancer
- Multi-Omics Data Analysis Identifies Prognostic Biomarkers across Cancers
- Identification of potential key genes and their regulatory microRNAs and transcription factors in lymph node and skin metastasis in breast cancer using in silico analysis. (Preprint)
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