SynthesisMolecular cancer2016
Diagnostic, prognostic and predictive value of cell-free miRNAs in prostate cancer: a systematic review.
Synthesis in Molecular cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03911999 (To Investigate the Diagnostic Accuracy of Exosomal microRNA in Predicting the Aggressiveness of Prostate Cancer in Chinese Patients), which is not on this map. Cited by 56 papers, 2 of them syntheses 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.
To Investigate the Diagnostic Accuracy of Exosomal microRNA in Predicting the Aggressiveness of Prostate Cancer in Chinese Patients
Who cites it
56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 100 citations in OpenAlex.
- Urinary MicroRNAs as Biomarkers of Urological Cancers: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- The promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches.Prostate cancer and prostatic diseases · 2022Pooled it
- Circulating mRNAs and miRNAs as candidate markers for the diagnosis and prognosis of prostate cancer.PloS one · 2017Trial
- Extracellular vesicle and particle biomarkers in cancer: a machine learning blueprint for liquid biopsy.Journal of nanobiotechnology · 2026Review
- Current Perspective on Human Milk Derived Vesicles and Their Potential Therapeutic Use: A Scoping Review.Journal of extracellular vesicles · 2026Article
- Automated counting of prostate cell types with image processing and machine learning.PloS one · 2026Article
- Technical considerations and review of urinary microRNAs as biomarkers for chronic kidney disease in dogs and cats.Veterinary clinical pathology · 2025Review
- Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis.Scientific reports · 2025Article
- Testing the accuracy of a three-miRNA panel for the detection of primary prostate cancer: a discovery and validation study.Future oncology (London, England) · 2025Article
- Article
- Clinical Sensitivity and Specificity of the PROSTest in an American Cohort.The Prostate · 2025Article
- Lanatoside C Inhibits Proliferation and Induces Apoptosis in Human Prostate Cancer Cells Through the TNF/IL-17 Signaling Pathway.International journal of molecular sciences · 2025Article
- Non-DRE Voided Urine Test to Diagnose Prostate Cancer: Updated Results.Diagnostics (Basel, Switzerland) · 2025Article
- Effect of prostate volume on the predictive value of prostate-specific antigen density for prostate cancer.Translational andrology and urology · 2025Article
- Molecular Mechanisms of Prostate Cancer Development in the Precision Medicine Era: A Comprehensive Review.Cancers · 2024Review
- The role of miR-152 in urological tumors: potential biomarkers and therapeutic targets.Frontiers in immunology · 2024Review
- Tumor-derived EV miRNA signatures surpass total EV miRNA in supplementing mammography for precision breast cancer diagnosis.Theranostics · 2024Article
- Clinical Significance of Extracellular Vesicles in Prostate and Renal Cancer.International journal of molecular sciences · 2023Review
- Plasma and urinary extracellular vesicles as a source of RNA biomarkers for prostate cancer in liquid biopsies.Frontiers in molecular biosciences · 2023Article
- A pathway analysis-based algorithm for calculating the participation degree of ncRNA in transcriptome.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer, the second most frequently diagnosed cancer in males worldwide, is estimated to be diagnosed in 1.1 million men per year. Introduction of PSA testing substantially improved early detection of prostate cancer, however it also led to overdiagnosis and subsequent overtreatment of patients with an indolent disease. Treatment outcome and management of prostate cancer could be improved by the development of non-invasive biomarker assays that aid in increasing the sensitivity and specificity of prostate cancer screening, help to distinguish aggressive from indolent disease and guide therapeutic decisions. Prostate cancer cells release miRNAs into the bloodstream, where they exist incorporated into ribonucleoprotein complexes or extracellular vesicles. Later, cell-free miRNAs have been found in various other biofluids. The initial RNA sequencing studies suggested that most of the circulating cell-free miRNAs in healthy individuals are derived from blood cells, while specific disease-associated miRNA signatures may appear in the circulation of patients affected with various diseases, including cancer. This raised a hope that cell-free miRNAs may serve as non-invasive biomarkers for prostate cancer. Indeed, a number of cell-free miRNAs that potentially may serve as diagnostic, prognostic or predictive biomarkers have been discovered in blood or other biofluids of prostate cancer patients and need to be validated in appropriately designed longitudinal studies and clinical trials. In this review, we systematically summarise studies investigating cell-free miRNAs in biofluids of prostate cancer patients and discuss the utility of the identified biomarkers in various clinical scenarios. Furthermore, we discuss the possible mechanisms of miRNA release into biofluids and outline the biological questions and technical challenges that have arisen from these studies.
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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.