Evidence map›Paper›PMID 40491064›Full record

ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2025

Transcription-Replication Conflicts: Unlocking New Frontiers in Cancer.

Aleix Bayona-Feliu, Andrés Aguilera

Abstract readReview
In one paragraph

Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. LUMINIDEPENDENS orchestrates global transcriptional repression inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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.

Aleix Bayona-FeliuDepartment of Genetics, Microbiology and Statistics, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-7412-1652
Andrés AguileraCentro Andaluz de Biología Molecular y Medicina Regenerativa CABIMER, Universidad de Sevilla, Seville, Spain.ORCID https://orcid.org/0000-0003-4782-1714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome instability (GIN) is a cell pathology linked to cancer promotion and tumor evolution. Transcription is an essential cellular process but also a potential source of DNA damage and GIN. Transcription-replication conflicts (TRCs) are a predominant source of GIN, and defective TRC resolution may seriously compromise genome integrity. Importantly, chromatin dynamics helps orchestrate the response to TRCs to preserve genome integrity. Multiple epigenetic deficiencies have been shown to cause transcription-induced replication stress, resulting in DNA breaks and mutations. Consistently, chromatin alterations are frequent in cancer and correlate with increased mutation burden at TRC sites in tumors. Here, we review our current knowledge of TRC processing, the consequences of its dysfunction, and its relevance in cancer. We focus on the interplay between the DNA damage response (DDR) and chromatin dynamics and discuss the clinical potential of targeting TRCs as anticancer strategies and drugging the associated epigenetic signatures.

Indexed as

DNA ReplicationGenomic InstabilityNeoplasmsTranscription, GeneticAnimalsChromatinDNA DamageEpigenesis, GeneticHumansChromatincancerchromatin remodelersDNA damagegenome instabilityhistone modificationsR‐loopstranscription‐replication conflicts

Identifiers

PMID40491064
PMCPMC12278807

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.