Evidence map›Paper›PMID 41414814›Full record

ArticleActa biochimica et biophysica Sinica2025

Cancer-specific bivalent promoters featuring low-level H3K27me3 signals favor active transcription and govern the cancer cell state transition.

Fan Yang, Guanlan Fan, Jing Cao, Qiuyan Zhao, Kexiu Guo, Min Liu, Xin Yin, Hongying Zong, Feng Li, Fubing Wang and 1 more

Abstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Fan YangDepartment of Medical Genetics, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.
Guanlan FanDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Jing CaoDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Qiuyan ZhaoDepartment of Gynecology, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Kexiu GuoDepartment of Medical Genetics, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.
Min LiuDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Xin YinDepartment of Medical Genetics, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.
Hongying ZongDemonstration Center for Experimental Basic Medicine Education, Wuhan University, Wuhan 430071, China.
Feng LiDepartment of Medical Genetics, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.
Fubing WangDepartment of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
Jie XiongDepartment of Immunology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bivalent chromatin maintains genes in low-expression, poised states in embryonic stem cells (ESCs). However, bivalent promoters correlate with the transcriptional activation of oncogenic programs in malignancies, a seemingly contradiction that remains to be resolved. Here, we identify a class of cancer-specific bivalent promoters (CSBPs) through the integration of a system-level longitudinal framework. Compared with ESCs, CSBPs are characterized by lower and narrower H3K27me3 deposition alongside abundant H3K4me3, thus permitting the persistent expression of genes critical for cancer stem cell (CSC) formation and maintenance, as exemplified by

Indexed as

bivalent promotercancercell state transitionhistone methylation

Identifiers

PMID41414814
PMCPMC13191472

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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.