ReviewJournal of translational medicine2016
Decoding the usefulness of non-coding RNAs as breast cancer markers.
Review in Journal of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
38 citing papers in PubMed, 96 citations in OpenAlex.
- Time-Dependent Loss of miR-548c-3p and Activation of E2F3/FOXM1 in Breast Cancer: In Vitro and TCGA-Based Evidence for a Post-Transcriptional Mechanism.International journal of molecular sciences · 2026Article
- MicroRNA Expression in Breast Cancer Patients, an Integrative Review.Journal of surgical oncology · 2026Review
- Epigenetic regulation of HOXA2 expression affects tumor progression and predicts breast cancer patient survival.Cell death and differentiation · 2025Article
- CircPRKD3/miR-6783-3p responds to mechanical force to facilitate the osteogenesis of stretched periodontal ligament stem cells.Journal of orthopaedic surgery and research · 2024Article
- New Perspectives on the Role of Liquid Biopsy in Bladder Cancer: Applicability to Precision Medicine.Cancers · 2024Review
- Cuproptosis-related long noncoding RNAs predicts overall survival and reveal immune microenvironment of bladder cancer.Heliyon · 2023Article
- Circulating miR-221/222 expression as microRNA biomarker predicting tamoxifen treatment outcome: a case-control study.Annals of medicine and surgery (2012) · 2023Article
- New progress in the role of microRNAs in the diagnosis and prognosis of triple negative breast cancer.Frontiers in molecular biosciences · 2023Review
- Review
- Advances of Epigenetic Biomarkers and Epigenome Editing for Early Diagnosis in Breast Cancer.International journal of molecular sciences · 2022Review
- Study on the Potential Mechanism of miR-22-5p in Non-Small-Cell Lung Cancer.Disease markers · 2022Article
- microRNA-221 and tamoxifen resistance in luminal-subtype breast cancer patients: A case-control study.Annals of medicine and surgery (2012) · 2022Article
- Review
- The Physiological MicroRNA Landscape in Nipple Aspirate Fluid: Differences and Similarities with Breast Tissue, Breast Milk, Plasma and Serum.International journal of molecular sciences · 2020Article
- MicroRNA Expression Profiling on Paired Primary and Lymph Node Metastatic Breast Cancer Revealed Distinct microRNA Profile Associated With LNM.Frontiers in oncology · 2020Article
- Dysregulation of Long Non-coding RNAs and mRNAs in Plasma of Clear Cell Renal Cell Carcinoma Patients Using Microarray and Bioinformatic Analysis.Frontiers in oncology · 2020Article
- Comprehensive Analysis of Differentially Expressed lncRNAs in Gastric Cancer.Frontiers in cell and developmental biology · 2020Article
- Overexpression of circulating MiR-30b-5p identifies advanced breast cancer.Journal of translational medicine · 2019Article
- The long non-coding RNA GHSROS facilitates breast cancer cell migration and orthotopic xenograft tumour growth.International journal of oncology · 2019Article
- Genome-wide long non-coding RNAs identified a panel of novel plasma biomarkers for gastric cancer diagnosis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although important advances in the management of breast cancer (BC) have been recently accomplished, it still constitutes the leading cause of cancer death in women worldwide. BC is a heterogeneous and complex disease, making clinical prediction of outcome a very challenging task. In recent years, gene expression profiling emerged as a tool to assist in clinical decision, enabling the identification of genetic signatures that better predict prognosis and response to therapy. Nevertheless, translation to routine practice has been limited by economical and technical reasons and, thus, novel biomarkers, especially those requiring non-invasive or minimally invasive collection procedures, while retaining high sensitivity and specificity might represent a significant development in this field. An increasing amount of evidence demonstrates that non-coding RNAs (ncRNAs), particularly microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), are aberrantly expressed in several cancers, including BC. miRNAs are of particular interest as new, easily accessible, cost-effective and non-invasive tools for precise management of BC patients because they circulate in bodily fluids (e.g., serum and plasma) in a very stable manner, enabling BC assessment and monitoring through liquid biopsies. This review focus on how ncRNAs have the potential to answer present clinical needs in the personalized management of patients with BC and comprehensively describes the state of the art on the role of ncRNAs in the diagnosis, prognosis and prediction of response to therapy in BC.
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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.