Evidence map›Paper›PMID 42201580›Full record

ReviewNeuromolecular medicine2026

Peptides from the Shadows: Molecular Depth Insights and Clinical Horizons of Circular RNA-encoded Peptides in Gliomas.

Mokhtar Rejili, Najma Farahani, Mina Alimohammadi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neuromolecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mokhtar RejiliDepartment of Biology, College of Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia.
Najma FarahaniFarhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital, TeMs.C., Islamic Azad University, Tehran, Iran.
Mina AlimohammadiDepartment of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Mina.alimohammadi11@gmail.com.

Funding

the Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University IMSIU-DDRSP2601
6 · The paper itself

Abstract

Emerging evidence indicates that circular RNAs (circRNAs) can encode functional peptides, which participate in the regulation of both physiological and pathological processes. CircRNA-derived peptides are involved in the regulation of various cellular functions and signaling pathways by interacting with specific biological molecules. These peptides can influence tumor progression by modulating key signaling pathways and by promoting or inhibiting malignant phenotypes through defined mechanisms. Consequently, the suppression of particular circRNA-encoded peptides may contribute to the inhibition of glioma progression or facilitate tumor elimination. Given that the expression of certain circRNAs is elevated in glioma tissues and associated cells, they hold potential as diagnostic biomarkers and therapeutic targets. This review provides a comprehensive overview of circRNA-encoded peptides, focusing on their regulatory roles and functional mechanisms in glioma. We discuss how these small peptides contribute to glioma pathophysiology and consider their prospective applications in diagnosis, prognosis, and targeted therapy.

Indexed as

Brain NeoplasmsGliomaNeoplasm ProteinsPeptidesRNARNA, CircularRNA, NeoplasmAnimalsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansMicropeptidesSignal TransductionBiomarkers, TumorMicropeptidesNeoplasm ProteinsPeptidesRNARNA, CircularRNA, NeoplasmCircular RNAsClinical applicationFunctional peptidesGliomaMolecular mechanismsPeptide encoding

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.