ReviewiScience2026
Diagnostic and prognostic role of circular RNAs: Analytical challenges and emerging opportunities.
Review in iScience, 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
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Circular RNAs (circRNAs) are covalently closed non-coding RNAs characterized by high stability, tissue-specific expression, and important regulatory roles in gene expression and cellular pathways across cancer, neurodegenerative, cardiovascular, autoimmune, and infectious diseases. Their stability in biofluids and disease-associated expression patterns make them attractive candidates for diagnostic and prognostic biomarkers. This review examines the analytical strategies used to detect and quantify circRNAs, including amplification-based methods (RT-qPCR, droplet digital PCR, and isothermal amplification), hybridization-based assays (Northern blot, FISH, and microarrays), sequencing approaches (short- and long-read RNA-seq), and emerging biosensor technologies. These methods are discussed in the context of their principles, strengths, limitations, and suitability for different research and clinical applications. By integrating current knowledge of circRNA biology with practical guidance on analytical workflows, this review provides a framework for selecting appropriate detection strategies and supports the development of reliable circRNA-based diagnostics and future precision medicine applications.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.