ReviewInternational journal of molecular sciences2025
Regulatory Mechanisms and Functional Roles of Readthrough Transcripts in Tumorigenesis.
Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- The Goldilocks state of transcriptional readthrough for chimeric splicing.Transcription · 2026Review
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.
Funding
Abstract
The search for novel tumor-specific markers and therapeutic targets is driving the development of more effective and personalized treatment strategies for cancer patients. This article focuses on investigating a promising new source of biomarkers-readthrough transcripts, or downstream-of-gene (DoG) transcripts. These transcripts are extended products of gene transcription that continue into intergenic regions and can overlap neighboring genes, sometimes giving rise to cis-splicing of adjacent gene (cis-SAGe) transcripts. Recent studies suggest that besides frequently being a "transcriptional noise", DoG transcripts can perform regulatory functions, serve as a source of novel protein products, and act as prognostic markers of patient survival across various cancers. This article aims to investigate the regulatory mechanisms and functional significance of readthrough transcripts in tumors, to identify currently known tumor-specific variants with potential utility as cancer biomarkers or therapeutic targets, and to evaluate the most suitable approaches for their detection. The knowledge gained through this research may provide a foundation for the development of diagnostic test systems and the design of new anticancer drugs.
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Registered trials
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