The regulatory role of miRNAs on VDR in breast cancer
Open accessAbstract
Triple negative breast cancer (TNBC) has been associated with the lack of three hormone receptors; estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2). However, a host of other steroid hormone receptors such as vitamin D receptor (VDR) is present in TNBC, and the role of these hormone receptors in breast tumorigenesis is unclear. The levels of microRNAs (miRNAs) are also expressed differently than in normal mammary epithelial cells. miRNAs are regulatory RNAs involved in various cellular functions, mainly gene silencing. Here, we reviewed the literature surrounding miRNAs in breast cancer, and performed in silico analysis to determine whether there was a correlation between levels of VDR in relation to miRNAs important in breast cancer development and tumorigenesis. We identified three miRNAs of interest, specifically, miR-23, miR-124, and miR-125. Through this research we determined the possibility that these miRNAs play an important role in controlling VDR activity and by virtue the development of breast cancer.
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miR-23 regulates vitamin D receptor activity, significantly influences breast cancer development, and modulates drug resistance during treatment in triple-negative breast cancer.
“it has been found to regulate vitamin D receptor (VDR) activity, significantly influence breast cancer development, and modulate drug resistance during treatment [84,85].”
From Recent advances of miR-23 in human diseases and growth development (2025) · cites this paper as [84]
The Abstract identifies miR-23 as a possible regulator of VDR activity and breast cancer development, not an established or significant influence. The section “Epigenetic control of VDR expression” says miR-23 has an oncogenic correlation but “not yet” a correlation with VDR regulation. The cited passages do not support the claim that miR-23 modulates drug resistance during TNBC treatment. (LLM, conf=0.85)
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Vitamin D3: a helpful immuno-modulator: Vitamin D3 as immuno-modulator
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Cited by
Sorted by citations
Recent advances of miR-23 in human diseases and growth development
Qian, X., Jiang, Y., Yang, Y., Zhang, Y., Xu, N., Xu, B., Pei, K., Yu, Z., & Wu, W. (2025) · Non-coding RNA Research · doi:10.1016/j.ncrna.2024.12.010 · Cited by 5 · see citing works
- Authors
- Singh, T., & Adams, B. D.
- Affiliations
- State University of New York (US)
- Corresponding author
- Adams, Brian D.
- ORCID
- Adams, Brian D.
- Venue
- Transcription
- Publisher
- Informa UK Limited
- Published
- 2017-06-09
- Volume
- 8
- Issue
- 4
- Pages
- 232-241
- ISSN
- 2154-1264 (ISSN-L)
- 2154-1272
- PMC
- PMC5574530
- OpenAlex
- W2622143505
- Cited by
- 37
- References
- 2
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 10 · 2023: 3 · 2022: 4 · 2021: 6 · 2020: 4 · 2019: 3 · 2018: 3 · 2017: 1
- FWCI
- 0.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Transcription (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Health Sciences › Medicine › Pathology and Forensic Medicine › Vitamin D Research Studies
- Keywords
- microRNA, vitamin D receptor, triple-negative breast cancer, breast cancer, miR-23, miR-124, miR-125, gene silencing, steroid hormone receptors, carcinogenesis
- MeSH terms
- Female, Humans, Gene Expression Regulation, Neoplastic, Receptors, Calcitriol, Genetic Predisposition to Disease, MicroRNAs, Triple Negative Breast Neoplasms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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