SynthesisJournal of clinical laboratory analysis2021
Meta-analysis of the diagnostic value of exosomal miR-21 as a biomarker for the prediction of cancer.
Synthesis in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.
- Pooled it
- Meta-analysis of the diagnostic value of exosomal miR-21 as a biomarker for the prediction of cancer.Journal of clinical laboratory analysis · 2021Pooled it
- Exosome-mimetic nanocarriers in cancer diagnosis and drug delivery: engineering strategies, functional biomimicry, safety considerations, and clinical translation.Journal of nanobiotechnology · 2026Review
- An RCA-Coupled CRISPR/Cas12a Cascade-Enhanced SERS Platform for Ultrasensitive Detection of Exosomal miRNA-21 in Colorectal Cancer Serum.International journal of nanomedicine · 2026Article
- Clonorchis sinensis and cholangiocarcinoma: molecular mechanisms and biomarker advances.Parasite (Paris, France) · 2026Review
- Endoscopic liquid biopsy of bile: superior diagnostic and prognostic performance of bile-derived exosomal miR-21-5p for biliary tract cancers.Journal of gastroenterology · 2025Article
- MiR-103a-3p Promotes Tumorigenesis of Breast Cancer by Targeting ETNK1.Iranian journal of public health · 2024Article
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 2 institutions in 1 country.
Funding
Abstract
backgroundEarly diagnosis of cancer is still the most effective method to increase survival and therapeutically effective patient management. Accumulating studies had exploited exosomes as an indicator for the diagnosis and prognosis of cancer. In addition to exosomes, exosome-derived miRs are widely investigated as a novel biomarker for diagnosis in cancer patients. The aim of this study was to clarify the diagnostic value of ex-miR-21 in cancer.
methodsDatabases were searched for eligible studies up to June, 2021. Studies included in this meta-analysis were reviewed and selected independently by two authors. The data of sensitivity, specificity, diagnostic odds ratio (DOR), and summary receiver operating characteristic curves (SROC) of exosomal miR-21 as a diagnostic biomarker were extracted and calculated. Quality assessment was conducted by using the QUADAS-2 tool.
resultsA total of 26 studies were included in the systematic analysis and meta-analysis. The pooled results of sensitivity, specificity, PLR/NLR, DOR, and area under the curve were 76% (95%CI, 0.70-0.81), 82% (0.77-0.87), 4.3 (3.1-6.0), 0.29 (0.22-0.38), 15 (8-26), and 0.86 (0.83-0.89), respectively. Sensitivity analysis and Deeks' funnel plot indicated that results remained unchanged and had no publication bias. For the subgroup analysis, it was showed that ex-miR-21 had a superior diagnostic accuracy on identifying PC.
conclusionExosomal microRNA-21 can serve as an effective and widely used diagnostic biomarker for cancer, especially in PC. The using field of exosomes and exosome-derived miR can further extend the prognosis and therapeutic management. Standardized isolation of exosomes and miRNA-21 should be developed.
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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.