ArticleOncotarget2017
Development of a predictive miRNA signature for breast cancer risk among high-risk women.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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.
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Who cites it
22 citing papers in PubMed, 33 citations in OpenAlex.
- Three ct-miRNA signature predicts disease outcome in early breast cancer women.Breast cancer research : BCR · 2026Article
- Integrative Analysis of DNA Methylation and microRNA Reveals GNPDA1 and SLC25A16 Related to Biopsychosocial Factors Among Taiwanese Women with a Family History of Breast Cancer.Journal of personalized medicine · 2025Article
- 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
- Cancer-specific risk prediction with a serum microRNA signature.Cancer science · 2024Article
- miR-4529-3p Promotes the Progression of Retinoblastoma by Inhibiting RB1 Expression and Activating the ERK Signaling Pathway.Molecular biotechnology · 2024Article
- Biological Implications of MicroRNAs as Regulators and Biomarkers of Therapeutic Toxicities in Breast Cancer.International journal of molecular sciences · 2023Review
- Sustained Morphine Delivery Suppresses Bone Formation and Alters Metabolic and Circulating miRNA Profiles in Male C57BL/6J Mice.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2022Article
- Ikaros Regulates microRNA Networks in Acute Lymphoblastic Leukemia.Epigenomes · 2022Article
- Development and validation of a circulating microRNA panel for the early detection of breast cancer.British journal of cancer · 2022Article
- Cancer Biomarkers in Liquid Biopsy for Early Detection of Breast Cancer: A Systematic Review.Clinical Medicine Insights. Oncology · 2022Review
- Impact of Stilbenes as Epigenetic Modulators of Breast Cancer Risk and Associated Biomarkers.International journal of molecular sciences · 2021Review
- The Role of MicroRNA as Clinical Biomarkers for Breast Cancer Surgery and Treatment.International journal of molecular sciences · 2021Review
- MiR-195-5p inhibits proliferation and invasion of nerve cells in Hirschsprung disease by targeting GFRA4.Molecular and cellular biochemistry · 2021Article
- Predicting breast cancer risk using interacting genetic and demographic factors and machine learning.Scientific reports · 2020Article
- Gender Predilection in Sporadic Parathyroid Adenomas.International journal of molecular sciences · 2020Review
- Emergence of Circulating MicroRNAs in Breast Cancer as Diagnostic and Therapeutic Efficacy Biomarkers.Molecular diagnosis & therapy · 2020Review
- Peripheral Blood-Based Biopsy for Breast Cancer Risk Prediction and Early Detection.Frontiers in medicine · 2020Review
- Circulating miRNAs as Diagnostic and Prognostic Biomarkers in Common Solid Tumors: Focus on Lung, Breast, Prostate Cancers, and Osteosarcoma.Journal of clinical medicine · 2019Review
- MicroRNAs aid the assessment of programmed death ligand 1 expression in patients with non-small cell lung cancer.Oncology letters · 2019Article
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Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
Significant limitations exist in our ability to predict breast cancer risk at the individual level. Circulating microRNAs (C-miRNAs) have emerged as measurable biomarkers (liquid biopsies) for cancer detection. We evaluated the ability of C-miRNAs to identify women most likely to develop breast cancer by profiling miRNA from serum obtained long before diagnosis. 24 breast cancer cases and controls (matched for risk and age) were identified from women enrolled in the High-Risk Breast Program at the UVM Cancer Center. Isolated RNA from serum was profiled for over 2500 human miRNAs. The miRNA expression data were input into a stepwise linear regression model to discover a multivariable miRNA signature that predicts long-term risk of breast cancer. 25 candidate miRNAs were identified that individually classified cases and controls based on statistical methodologies. A refined 6-miRNA risk-signature was discovered following regression modeling that distinguishes cases and controls (AUC0.896, CI 0.804-0.988) in this cohort. A functional relationship between miRNAs that cluster together when cases are contrasted against controls was suggested and confirmed by pathway analyses. The discovered 6 miRNA risk-signature can discriminate high-risk women who ultimately develop breast cancer from those who remain cancer-free, improving current risk assessment models. Future studies will focus on functional analysis of the miRNAs in this signature and testing in larger cohorts. We propose that the combined signature is highly significant for predicting cancer risk, and worthy of further screening in larger, independent clinical cohorts.
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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.