SynthesisFrontiers in genetics2026
Extracellular vesicle-associated and non-vesicle-associated microRNAs for early breast cancer detection: a systematic review.
Synthesis in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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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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0 citing papers in PubMed.
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Breast cancer remains a leading cause of morbidity and mortality worldwide, with survival outcomes strongly dependent on early detection. Conventional mammography, while widely adopted, faces limitations in sensitivity-particularly in dense breast tissue-and is not without invasiveness. Circulating microRNAs (miRNAs), both exosomal and non-exosomal, have emerged as promising non-invasive biomarkers due to their stability in biofluids and cancer-associated dysregulation. This systematic review evaluated studies published between 2016 and 2025 assessing the diagnostic performance of blood-derived miRNAs for early breast cancer detection. Several individual miRNAs, including miR-21-5p and miR-200c, as well as panels such as those comprising miR-106a-3p, miR-106a-5p, miR-20b-5p, and miR-92a-2-5p, demonstrated high diagnostic accuracy (Area Under the Curve (AUC) > 0.9) in distinguishing breast cancer patients from healthy controls. Despite challenges related to tumor heterogeneity and pre-analytical standardization, integrating circulating miRNA biomarkers with current imaging modalities holds significant potential to enhance early detection and support personalized management strategies.
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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 Socratic graph.