Evidence map›Paper›PMID 42639267›Full record

ReviewMedComm2026

RNA-Binding Proteins: Function, Biological Mechanisms, and Therapeutic Opportunities.

Ling Li, Xiuli Yan, Qing Ji, Hui Zhang

Abstract readReview
In one paragraph

Review in MedComm, 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

4 authors.

Ling LiInstitute of Interdisciplinary Integrative Medicine Research Shanghai University of Traditional Chinese Medicine Shanghai China.
Xiuli YanYueyang Hospital of Integrated Traditional Chinese and Western Medicine Shanghai University of Traditional Chinese Medicine Shanghai China.
Qing JiDepartment of Medical Oncology & Cancer Institute of Integrative Medicine Shuguang Hospital, Shanghai University of Traditional Chinese Medicine Shanghai China.
Hui ZhangInstitute of Interdisciplinary Integrative Medicine Research Shanghai University of Traditional Chinese Medicine Shanghai China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-binding proteins (RBPs) are central regulators of post‑transcriptional gene expression, controlling RNA stability, localization, translation, and alternative splicing. Their functions arise not only from intrinsic RNA-binding domains but also from dynamic interactions with noncoding RNAs, metabolites, cofactors, and other RBPs. Here, we summarize the structural diversity and core biological activities of canonical and noncanonical RBPs, and delineate how competitive and cooperative regulatory networks dictate RBP function in disease, with an emphasis on cancer. Competitive mechanisms, including lncRNA-mediated sequestration, antagonistic crosstalk between miRNAs and RBPs, and competition among RBPs for shared substrates, can redirect RNA fate. In contrast, cooperative mechanisms assemble multimolecular ribonucleoprotein complexes that reinforce oncogenic or tumor-suppressive programs. Dysregulation of these networks promotes proliferation, metastasis, immune evasion, and therapy resistance. We also review emerging therapeutic strategies that target RBP-centered regulatory circuits, including antisense oligonucleotides, small molecules, protein degraders, and natural products, and we evaluate representative preclinical studies and clinical trials. By integrating mechanistic principles with translational evidence, this review provides a network-based framework for exploiting RBPs as therapeutic vulnerabilities and for advancing next-generation precision oncology.

Indexed as

post‐transcriptional gene regulationprecision oncologyRBP interactomeregulatory networksRNA‐binding proteinstargeted therapy

Identifiers

PMID42639267
PMCPMC13501125

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.