ArticleBMC genomics2019
Refinement of breast cancer molecular classification by miRNA expression profiles.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02306096 (SCAN-B), which is not on this map. Cited by 64 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.
SCAN-B: The Sweden Cancerome Analysis Network - Breast Initiative
Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it.
- miRNAs as biomarkers for early cancer detection and their application in the development of new diagnostic tools.Biomedical engineering online · 2021Pooled it
- MicroRNAs in Breast Cancer: Biological Functions and Technologies for Experimental and Therapeutic Applications.Cancers · 2026Review
- Subtype-Consistent Upregulation of Ferroptosis-Associated Pathways in Breast Cancer with Heterogeneous Prognostic Implications and Systemic Response to Cryoablation.International journal of molecular sciences · 2026Article
- Integrating Robotic Bilateral Axillo-Breast Approach Thyroidectomy with Molecular Diagnostics and Artificial Intelligence in Thyroid Cancer Care.Biomolecules & therapeutics · 2026Review
- The pleiotropic roles of non-hormonal receptor basigin and regulatory microRNAs in breast cancer.NPJ breast cancer · 2025Review
- Article
- microRNAs as Biomarkers of Breast Cancer.International journal of molecular sciences · 2025Review
- MicroRNAs as Endocrine Modulators of Breast Cancer.International journal of molecular sciences · 2025Review
- miR-1297 is frequently downmodulated in flat epithelial atypia of the breast and promotes mammary neoplastic transformation via EphrinA2 regulation.Journal of experimental & clinical cancer research : CR · 2025Article
- MicroRNAs and their role in breast cancer metabolism (Review).International journal of oncology · 2025Review
- Review
- Identification of a glycolysis-related miRNA Signature for Predicting Breast cancer Survival.Molecular biotechnology · 2024Article
- CRISPR screens in 3D tumourspheres identified miR-4787-3p as a transcriptional start site miRNA essential for breast tumour-initiating cell growth.Communications biology · 2024Article
- Functions of Differentially Regulated miRNAs in Breast Cancer Progression: Potential Markers for Early Detection and Candidates for Therapy.Biomedicines · 2024Review
- Metabolism-regulating non-coding RNAs in breast cancer: roles, mechanisms and clinical applications.Journal of biomedical science · 2024Review
- MicroRNA signatures differentiate types, grades, and stages of breast invasive ductal carcinoma (IDC): miRNA-target interacting signaling pathways.Cell communication and signaling : CCS · 2024Article
- Article
- Navigating the Frontiers of Machine Learning in Neurodegenerative Disease Therapeutics.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Dynamic Expression of Follicle-Stimulating Hormone and Estrogen mRNA Receptors Associated with microRNAsAnimals : an open access journal from MDPI · 2024Article
- Bioinformatics analysis of the potentially functional circRNA-miRNA-mRNA network in breast cancer.PloS one · 2024Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
backgroundAccurate classification of breast cancer using gene expression profiles has contributed to a better understanding of the biological mechanisms behind the disease and has paved the way for better prognostication and treatment prediction.
resultsWe found that miRNA profiles largely recapitulate intrinsic subtypes. In the case of HER2-enriched tumors a small set of miRNAs including the HER2-encoded mir-4728 identifies the group with very high specificity. We also identified differential expression of the miR-99a/let-7c/miR-125b miRNA cluster as a marker for separation of the Luminal A and B subtypes. High expression of this miRNA cluster is linked to better overall survival among patients with Luminal A tumors. Correlation between the miRNA cluster and their precursor LINC00478 is highly significant suggesting that its expression could help improve the accuracy of present day's signatures.
conclusionsWe show here that miRNA expression can be translated into mRNA profiles and that the inclusion of miRNA information facilitates the molecular diagnosis of specific subtypes, in particular the clinically relevant sub-classification of luminal tumors.
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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.