ReviewBiochemical genetics2025
CircRNAs in Colorectal Cancer: Unveiling Their Roles and Exploring Therapeutic Potential.
Review in Biochemical genetics, 2025. 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.
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
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Authors and funding
3 authors.
Funding
Abstract
Colorectal cancer (CRC) is the most common malignancy of the digestive system. Although research into the causes of CRC's origin and progression has advanced over the past few decades, many details are still not fully understood. Circular RNAs (circRNAs), as a novel regulatory molecule, have been found to be closely involved in various key biological processes in CRC. CircRNAs also have been shown to encode proteins, which could offer new possibilities for therapeutic applications. This ability to produce tumor-specific proteins makes circRNA-based vaccines a potentially valuable approach for targeted cancer treatment. In this review, we summarize recent findings on the various roles of circRNAs in CRC and explore their potential in the development of protein-encoding circRNA vaccines for CRC therapy.
Indexed as
Identifiers
40029586What 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.