ReviewInternational journal of molecular sciences2013
The role of microRNAs in breast cancer stem cells.
Review in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.
- MiRNAs Predict the Prognosis of Patients with Triple Negative Breast Cancer: A Meta-Analysis.PloS one · 2017Pooled it
- Hippo-YAP/TAZ signaling in breast cancer: Reciprocal regulation of microRNAs and implications in precision medicine.Genes & diseases · 2024Review
- Cross-talk between cancer stem cells and immune cells: potential therapeutic targets in the tumor immune microenvironment.Molecular cancer · 2023Review
- The SUV4-20H Histone Methyltransferases in Health and Disease.International journal of molecular sciences · 2022Review
- SETD1A-SOX2 axis is involved in tamoxifen resistance in estrogen receptor α-positive breast cancer cells.Theranostics · 2022Article
- Polyphenol-Enriched Blueberry Preparation Controls Breast Cancer Stem Cells by Targeting FOXO1 and miR-145.Molecules (Basel, Switzerland) · 2021Article
- MicroRNAs as the critical regulators of Doxorubicin resistance in breast tumor cells.Cancer cell international · 2021Review
- Environmental chemicals, breast cancer progression and drug resistance.Environmental health : a global access science source · 2020Review
- The Role of Breast Cancer Stem Cell-Related Biomarkers as Prognostic Factors.Diagnostics (Basel, Switzerland) · 2020Review
- miRNAs as radio-response biomarkers for breast cancer stem cells.Molecular oncology · 2020Article
- The Importance of Small Non-Coding RNAs in Human Reproduction: A Review Article.The application of clinical genetics · 2020Review
- Targeting the Interplay between Epithelial-to-Mesenchymal-Transition and the Immune System for Effective Immunotherapy.Cancers · 2019Review
- MicroRNA-708-5p affects proliferation and invasion of osteosarcoma cells by targeting URGCP.Experimental and therapeutic medicine · 2019Article
- Cytokines, breast cancer stem cells (BCSCs) and chemoresistance.Clinical and translational medicine · 2018Review
- Epigenetic Mechanisms of Tamoxifen Resistance in Luminal Breast Cancer.Diseases (Basel, Switzerland) · 2017Review
- Elevated microRNA-125b levels predict a worse prognosis in HER2-positive breast cancer patients.Oncology letters · 2017Article
- Modeling miRNA-mRNA interactions that cause phenotypic abnormality in breast cancer patients.PloS one · 2017Article
- Recent trends in microRNA research into breast cancer with particular focus on the associations between microRNAs and intrinsic subtypes.Journal of human genetics · 2017Review
- Current Status of Long Non-Coding RNAs in Human Breast Cancer.International journal of molecular sciences · 2016Review
- A novel miR-34a target, protein kinase D1, stimulates cancer stemness and drug resistance through GSK3/β-catenin signaling in breast cancer.Oncotarget · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept of the existence of a subset of cancer cells with stem cell-like properties, which are thought to play a significant role in tumor formation, metastasis, resistance to anticancer therapies and cancer recurrence, has gained tremendous attraction within the last decade. These cancer stem cells (CSCs) are relatively rare and have been described by different molecular markers and cellular features in different types of cancers. Ten years ago, a novel class of molecules, small non-protein-coding RNAs, was found to be involved in carcinogenesis. These small RNAs, which are called microRNAs (miRNAs), act as endogenous suppressors of gene expression that exert their effect by binding to the 3'-untranslated region (UTR) of large target messenger RNAs (mRNAs). MicroRNAs trigger either translational repression or mRNA cleavage of target mRNAs. Some studies have shown that putative breast cancer stem cells (BCSCs) exhibit a distinct miRNA expression profile compared to non-tumorigenic breast cancer cells. The deregulated miRNAs may contribute to carcinogenesis and self-renewal of BCSCs via several different pathways and can act either as oncomirs or as tumor suppressive miRNAs. It has also been demonstrated that certain miRNAs play an essential role in regulating the stem cell-like phenotype of BCSCs. Some miRNAs control clonal expansion or maintain the self-renewal and anti-apoptotic features of BCSCs. Others are targeting the specific mRNA of their target genes and thereby contribute to the formation and self-renewal process of BCSCs. Several miRNAs are involved in epithelial to mesenchymal transition, which is often implicated in the process of formation of CSCs. Other miRNAs were shown to be involved in the increased chemotherapeutic resistance of BCSCs. This review highlights the recent findings and crucial role of miRNAs in the maintenance, growth and behavior of BCSCs, thus indicating the potential for novel diagnostic, prognostic and therapeutic miRNA-based strategies.
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What OpenQuestion holds
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.