Evidence map›Paper›PMID 39946483›Full record

ArticleScience (New York, N.Y.)2025

RNA polymerase II at histone genes predicts outcome in human cancer.

Steven Henikoff, Ye Zheng, Ronald M Paranal, Yiling Xu, Jacob E Greene, Jorja G Henikoff, Zachary R Russell, Frank Szulzewsky, H Nayanga Thirimanne, Sita Kugel and 2 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. KAS-CUT&Tag for direct mapping of transcription bubbles.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A negative feedback mechanism controls histone gene expression.Nature structural & molecular biology · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Steven Henikoff *Basic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-7621-8685
Ye ZhengBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-8806-2761
Ronald M ParanalHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-4263-4621
Yiling XuBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0009-0000-8622-2066
Jacob E GreeneBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-3016-7296
Jorja G HenikoffBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0001-7670-5101
Zachary R RussellHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0009-0003-9659-6389
Frank SzulzewskyHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0001-5710-9590
H Nayanga ThirimanneHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-8016-3031
Sita KugelHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0001-7202-187X
Eric C HollandHuman Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0002-3792-7120
Kami AhmadBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0001-8572-6182

Funding

TRAINING IN CANCER BIOLOGY &TRANSPLANTATIONT32CA009515 · NCI · UNIVERSITY OF WASHINGTON · PI NANCY ELLEN DAVIDSON, Effie W Petersdorf · 1985 to 2026
$16.2M
The role and mechanism of alternative RNA splice variants and gene fusions as drivers of cancerR35CA253119 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric C. Holland · 2021 to 2026
$6.5M
Bridging the gap: joint modeling of single-cell 1D and 3D genomicsR00HG012797 · NHGRI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YE ZHENG · 2024 to 2026
$747k
Bridging the gap: joint modeling of single-cell 1D and 3D genomicsK99HG012797 · NHGRI · FRED HUTCHINSON CANCER CENTER · PI ZHENG, YE · 2023 to 2024
$132k
Howard Hughes Medical InstituteNCI NIH HHS R35 CA253119NCI NIH HHS T32 CA009515NHGRI NIH HHS K99 HG012797NHGRI NIH HHS R00 HG012797
6 · The paper itself

Abstract

Genome-wide hypertranscription is common in human cancer and predicts poor prognosis. To understand how hypertranscription might drive cancer, we applied our formalin-fixed paraffin-embedded (FFPE)-cleavage under targeted accessible chromatin method for mapping RNA polymerase II (RNAPII) genome-wide in FFPE sections. We demonstrate global RNAPII elevations in mouse gliomas and assorted human tumors in small clinical samples and discover regional elevations corresponding to de novo HER2 amplifications punctuated by likely selective sweeps. RNAPII occupancy at S-phase-dependent histone genes correlated with WHO grade in meningiomas, accurately predicted rapid recurrence, and corresponded to whole-arm chromosome losses. Elevated RNAPII at histone genes in meningiomas and diverse breast cancers is consistent with histone production being rate-limiting for S-phase progression and histone gene hypertranscription driving overproliferation and aneuploidy in cancer, with general implications for precision oncology.

Indexed as

Breast NeoplasmsGliomaHistonesMeningiomaRNA Polymerase IITranscription, GeneticAneuploidyAnimalsChromatinErb-b2 Receptor Tyrosine KinasesFemaleHumansMiceParaffin EmbeddingPrognosisChromatinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesHistonesRNA Polymerase II

Identifiers

PMID39946483
PMCPMC12184985

What OpenQuestion holds

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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.