Evidence map›Paper›PMID 41491919›Full record

ReviewCellular oncology (Dordrecht, Netherlands)2026

CDK12 and CDK13 in oncology: from RNA regulation to therapeutic targeting.

Julia Dudkiewicz-Garbicz, Paweł K Włodarski

Abstract readReview
In one paragraph

Review in Cellular oncology (Dordrecht, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

2 authors.

Julia Dudkiewicz-GarbiczDepartment of Histology and Embryology, Medical University of Warsaw, Warsaw, Poland. julia_dudkiewicz@dfci.harvard.edu.
Paweł K WłodarskiDepartment of Histology and Embryology, Medical University of Warsaw, Warsaw, Poland. pawel.wlodarski@wum.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review aims to synthesize current knowledge on Cyclin-dependent kinase 12 (CDK12) and Cyclin-dependent kinase 13 (CDK13), two transcriptional kinases with distinct and overlapping roles in gene regulation, genome stability, and cancer biology. These kinases control transcription elongation and co-transcriptional processing, including splicing and polyadenylation, thereby linking RNA polymerase II activity with DNA repair and replication stress response. CDK12 and CDK13 play context-specific roles across malignancies, where amplification, truncating mutations, fusions, and deletions variably alter their transcriptional output and downstream DNA repair programs. Their dysregulation contributes to oncogenesis, metastasis, and resistance to conventional therapies. There is growing therapeutic interest in CDK12/13 inhibition, especially as selective inhibitors of single DNA repair nodes have shown limited success. Selective CDK12/13-targeting agents have shown efficacy in preclinical models by inducing synthetic lethality, restoring sensitivity to PARP inhibitors, and are being explored to potentiate immune checkpoint blockade. This review highlights the biological rationale for targeting CDK12 and CDK13 in cancer, summarizes emerging therapeutic strategies, and identifies key opportunities for integrating these approaches into precision oncology.

Indexed as

Cyclin-Dependent KinasesMolecular Targeted TherapyNeoplasmsAnimalsCDC2 Protein KinaseGene Expression Regulation, NeoplasticHumansProtein Kinase InhibitorsCDC2 Protein KinaseCDK12 protein, humanCDK13 protein, humanCyclin-Dependent KinasesProtein Kinase InhibitorsCDK12CDK13DNA damage responseKinase inhibitorsRNA polymerase IITargeted cancer therapy

Identifiers

PMID41491919
PMCPMC12769584

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.