Evidence map›Paper›PMID 39747580›Full record

ArticleNature cell biology2025

Nuclear speckles regulate functional programs in cancer.

Katherine A Alexander, Ruofan Yu, Nicolas Skuli, Nathan J Coffey, Son Nguyen, Christine L Faunce, Hua Huang, Ian P Dardani, Austin L Good, Joan Lim and 8 more

Abstract read
In one paragraph

Article in Nature cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Direct roles of long non-coding RNAs in transcription activation.Nature structural & molecular biology · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Small speckles, big impact.Nature reviews. Cancer · 2025
    Article
  13. 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

18 authors.

Katherine A AlexanderPenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ruofan YuPenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Nicolas SkuliDepartment of Cell and Developmental Biology, Perelman School of Medicine, Philadelphia, PA, USA.
Nathan J CoffeyDepartment of Cell and Developmental Biology, Perelman School of Medicine, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-9413-5533
Son NguyenPenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0003-2187-1027
Christine L FauncePenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Hua HuangPenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Ian P DardaniDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-0335-7422
Austin L GoodDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Joan LimPenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Catherine Y LiPenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-9357-2902
Nicholas BiddlePenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Eric F JoycePenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Arjun RajPenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-2915-6960
Daniel LeeDivision of Urology, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Brian KeithAbramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, PA, USA.
M Celeste SimonDepartment of Cell and Developmental Biology, Perelman School of Medicine, Philadelphia, PA, USA. celeste2@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0001-9106-447X
Shelley L BergerPenn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. bergers@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0001-5398-4400

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Metabolic Tumor Suppressors in Renal Cancer: Unprecedented Roles in Disease ProgressionR35CA220483 · NCI · UNIVERSITY OF PENNSYLVANIA · PI M. CELESTE SIMON · 2017 to 2026
$9.4M
Role of PCAF/GCN5 Acetylation on p53 TransactivationR01CA078831 · NCI · WISTAR INSTITUTE · PI BERGER, SHELLEY L · 1999 to 2022
$7.8M
Interaction between nuclear epigenetic and metabolic pathways in cancerR35CA263922 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 2022 to 2026
$4.8M
Modulation of wild type and mutant p53 by HMGA1F32CA221010 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ALEXANDER, KATHERINE ANN · 2018 to 2020
$188k
NCI NIH HHS F32 CA221010NCI NIH HHS P30 CA045508NCI NIH HHS R01 CA078831NCI NIH HHS R35 CA220483NCI NIH HHS R35 CA263922U.S. Department of Defense (United States Department of Defense) W81XWH-20-1-0856U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) F32CA221010U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R35CA220483U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R35CA263922U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) RO1CA078831
6 · The paper itself

Abstract

Nuclear speckles are dynamic nuclear bodies characterized by high concentrations of factors involved in RNA production. Although the contents of speckles suggest multifaceted roles in gene regulation, their biological functions are unclear. Here we investigate speckle variation in human cancer, finding two main signatures. One speckle signature was similar to healthy adjacent tissues, whereas the other was dissimilar, and considered an aberrant cancer speckle state. Aberrant speckles show altered positioning within the nucleus, higher levels of the TREX RNA export complex and correlate with poorer patient outcomes in clear cell renal cell carcinoma (ccRCC), a cancer typified by hyperactivation of the HIF-2α transcription factor. We demonstrate that HIF-2α promotes physical association of certain target genes with speckles depending on HIF-2α protein speckle-targeting motifs, defined in this study. We identify homologous speckle-targeting motifs within many transcription factors, suggesting that DNA-speckle targeting may be a general gene regulatory mechanism. Integrating functional, genomic and imaging studies, we show that HIF-2α gene regulatory programs are impacted by speckle state and by abrogation of HIF-2α-driven speckle targeting. These findings suggest that, in ccRCC, a key biological function of nuclear speckles is to modulate expression of select HIF-2α-regulated target genes that, in turn, influence patient outcomes. Beyond ccRCC, tumour speckle states broadly correlate with altered functional pathways and expression of speckle-associated gene neighbourhoods, exposing a general link between nuclear speckles and gene expression dysregulation in human cancer.

Indexed as

Basic Helix-Loop-Helix ProteinsCarcinoma, Renal CellCell NucleusKidney NeoplasmsCell Line, TumorEndothelial PAS Domain-Containing Protein 1Gene Expression Regulation, NeoplasticHumansBasic Helix-Loop-Helix ProteinsEndothelial PAS Domain-Containing Protein 1

Identifiers

PMID39747580
PMCPMC12039181

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Registered trials

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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.