ArticleMolecules (Basel, Switzerland)2021
Towards Unravelling the Role of ERα-Targeting miRNAs in the Exosome-Mediated Transferring of the Hormone Resistance.
Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Continuous Uptake of MiR-181a-2 Mimetic Induces Constitutive Overexpression of Cellular MiR-181a-2 in MCF-7 Breast Cancer Cells: Links with Progression of Drug Resistance.Advanced pharmaceutical bulletin · 2025Article
- miRNA-dependent resistance mechanisms to anti-hormonal therapies in estrogen receptor-positive breast cancer patients.Molecular therapy. Oncology · 2025Review
- Tackling exosome and nuclear receptor interaction: an emerging paradigm in the treatment of chronic diseases.Military Medical Research · 2024Review
- Tumour-derived exosome SNHG17 induced by oestrogen contributes to ovarian cancer progression via the CCL13-CCR2-M2 macrophage axis.Journal of cellular and molecular medicine · 2024Article
- Drug resistance in breast cancer is based on the mechanism of exocrine non-coding RNA.Discover oncology · 2024Review
- Deciphering the Functional Status of Breast Cancers through the Analysis of Their Extracellular Vesicles.International journal of molecular sciences · 2023Review
- Non-Coding RNAs Modulating Estrogen Signaling and Response to Endocrine Therapy in Breast Cancer.Cancers · 2023Review
- The Emerging Roles of Exosomal miRNAs in Breast Cancer Progression and Potential Clinical Applications.Breast cancer (Dove Medical Press) · 2023Review
- Extracellular vesicles in the treatment and diagnosis of breast cancer: a status update.Frontiers in endocrinology · 2023Review
- Exosomes are involved in the intercellular transfer of rapamycin resistance in the breast cancer cells.BioImpacts : BI · 2023Article
- Spotlight on Exosomal Non-Coding RNAs in Breast Cancer: An In Silico Analysis to Identify Potential lncRNA/circRNA-miRNA-Target Axis.International journal of molecular sciences · 2022Review
- Exosome-Mediated Response to Cancer Therapy: Modulation of Epigenetic Machinery.International journal of molecular sciences · 2022Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Hormone therapy is one of the most effective breast cancer treatments, however, its application is limited by the progression of hormonal resistance, both primary or acquired. The development of hormonal resistance is caused either by an irreversible block of hormonal signalling (suppression of the activity or synthesis of hormone receptors), or by activation of oestrogen-independent signalling pathways. Recently the effect of exosome-mediated intercellular transfer of hormonal resistance was revealed, however, the molecular mechanism of this effect is still unknown. Here, the role of exosomal miRNAs (microRNAs) in the transferring of hormonal resistance in breast cancer cells has been studied. The methods used in the work include extraction, purification and RNAseq of miRNAs, transfection of miRNA mimetics, immunoblotting, reporter analysis and the MTT test. Using MCF7 breast cancer cells and MCF7/T tamoxifen-resistant sub-line, we have found that some miRNAs, suppressors of oestrogen receptor signalling, are overexpressed in the exosomes of the resistant breast cancer cells. The multiple (but not single) transfection of one of the identified miRNA, miR-181a-2, into oestrogen-dependent MCF7 cells induced the irreversible tamoxifen resistance associated with the continuous block of the oestrogen receptor signalling and the activation of PI3K/Akt pathway. We suppose that the miRNAs-ERα suppressors may act as trigger agents inducing the block of oestrogen receptor signalling and breast cancer cell transition to an aggressive oestrogen-independent state.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.