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Updated: Jun 29, 2025

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
Long non‑coding RNA DANCR aggravates breast cancer through the miR‑34c/E2F1 feedback loop
Shuai Yan1, Lizhi Teng1, Juntong Du1
1Department of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, P.R. China.
Abstract:
Emerging scientific evidence has suggested that the long non‑coding (lnc)RNA differentiation antagonizing non‑protein coding RNA (DANCR) serves a significant role in human tumorigenesis and cancer progression; however, the precise mechanism of its function in breast cancer remains to be fully understood. Therefore, the objective of the present study was to manipulate DANCR expression in MCF7 and MDA‑MB‑231 cells using lentiviral vectors to knock down or overexpress DANCR. This manipulation, alongside the analysis of bioinformatics data, was performed to investigate the potential mechanism underlying the role of DANCR in cancer. The mRNA and/or protein expression levels of DANCR, miR‑34c‑5p and E2F transcription factor 1 (E2F1) were assessed using reverse transcription‑quantitative PCR and western blotting, respectively. The interactions between these molecules were validated using chromatin immunoprecipitation and dual‑luciferase reporter assays. Additionally, fluorescence in situ hybridization was used to confirm the subcellular localization of DANCR. Cell proliferation, migration and invasion were determined using 5‑ethynyl‑2'‑deoxyuridine, wound healing and Transwell assays, respectively. The results of the present study demonstrated that DANCR had a regulatory role as a competing endogenous RNA and upregulated the expression of E2F1 by sequestering miR‑34c‑5p in breast cancer cells. Furthermore, E2F1 promoted DANCR transcription by binding to its promoter in breast cancer cells. Notably, the DANCR/miR‑34c‑5p/E2F1 feedback loop enhanced cell proliferation, migration and invasion in breast cancer cells. Thus, these findings suggested that targeting DANCR may potentially provide a promising future therapeutic strategy for breast cancer treatment.
Insights
The long non-coding RNA DANCR promotes breast cancer progression by regulating the miR-34c-5p/E2F1 feedback loop. Targeting DANCR may offer a new therapeutic strategy for breast cancer treatment.
Area of Science:
- Molecular Biology
- Genetics
- Oncology
Background:
- Long non-coding RNAs (lncRNAs) are increasingly recognized for their roles in cancer.
- The specific functions and mechanisms of the lncRNA DANCR in breast cancer are not fully elucidated.
- Understanding DANCR's role is crucial for developing novel breast cancer therapies.
Purpose of the Study:
- To investigate the mechanism of action of the lncRNA DANCR in breast cancer.
- To explore the regulatory interactions between DANCR, miR-34c-5p, and E2F1.
- To assess the impact of DANCR on breast cancer cell behavior.
Main Methods:
- Lentiviral vectors were used to manipulate DANCR expression (knockdown and overexpression) in MCF7 and MDA-MB-231 breast cancer cells.
- Quantitative PCR and Western blotting were employed to measure gene and protein expression levels.
- Chromatin immunoprecipitation, dual-luciferase reporter assays, and fluorescence in situ hybridization were used to validate molecular interactions and localization.
- Cell proliferation, migration, and invasion assays (EdU, wound healing, Transwell) were performed to assess functional effects.
Main Results:
- DANCR acts as a competing endogenous RNA, upregulating E2F1 by sequestering miR-34c-5p in breast cancer cells.
- E2F1 was found to promote DANCR transcription by binding to its promoter region.
- A positive feedback loop involving DANCR, miR-34c-5p, and E2F1 was identified, enhancing breast cancer cell proliferation, migration, and invasion.
Conclusions:
- The DANCR/miR-34c-5p/E2F1 feedback loop plays a significant role in promoting breast cancer progression.
- Targeting DANCR presents a potential therapeutic strategy for breast cancer treatment.
- Further research into this regulatory network could lead to improved clinical interventions.
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