Evidence map›Paper›PMID 41097674›Full record

ReviewCancers2025

Transcriptional Condensates: Epigenetic Reprogramming and Therapeutic Targets in Hematologic Malignancies.

Kevin Qiu, Qing Yin, Chongzhi Zang, Jianguo Tao

Abstract readReview
In one paragraph

Review in Cancers, 2025. 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

4 authors.

Kevin QiuDepartment of Pathology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.ORCID 0009-0008-0168-7306
Qing YinDepartment of Pathology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Chongzhi ZangDepartment of Genome Sciences, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.ORCID 0000-0003-4812-3627
Jianguo TaoDepartment of Pathology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.

Funding

Integrative computational models for functional epigenomics and transcriptional regulationR35GM133712 · NIGMS · UNIVERSITY OF VIRGINIA · PI Chongzhi Zang · 2019 to 2026
$3.4M
NIGMS NIH HHS R35 GM133712
6 · The paper itself

Abstract

Transcription is a core hallmark of cancer, wherein many different proteins assemble at specific sites in the nucleus and act in concert to transcribe functionally relevant genes. Central to this process are transcription factors that bind to their cognate DNA motifs on enhancers and super-enhancers to recruit cofactors, coactivators, and epigenetic modifiers, thereby inducing or repressing gene expression. Super-enhancers drive oncogenic transcription, to which cancer cells become highly addicted and confer tumor dependencies on super-enhancer-driven transcription machinery. Transcriptional condensates (TCs) are nuclear membrane-less assemblies of DNA-binding transcription factors, transcription co-activators, and the transcriptional machinery (such as RNA polymerases, non-coding RNAs) formed through liquid-liquid phase separation (LLPS). The function of transcriptionally active oncogenic proteins and their interplay with nucleic acids are carried out within these biomolecular condensates, allowing them to spatiotemporally regulate oncogene expression and lead to the induction and maintenance of cancer. With this growing understanding, specific inhibitors and strategies targeting TC assembly and activation should be considered promising therapeutic opportunities for treating various tumors, including hematological malignancies.

Indexed as

epigeneticsoncogenesistargeted therapytranscriptiontranscriptional condensate

Identifiers

PMID41097674
PMCPMC12524286

What OpenQuestion holds

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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.