Evidence map›Paper›PMID 40361105›Full record

ArticleMolecular cancer2025

Profiling triple-negative breast cancer-specific super-enhancers identifies high-risk mesenchymal development subtype and BETi-Targetable vulnerabilities.

Qing-Shan Chen, Rui-Zhao Cai, Yan Wang, Ge-Hao Liang, Kai-Ming Zhang, Xiao-Yu Yang, Dong Yang, De-Chang Zhao, Xiao-Feng Zhu, Rong Deng and 1 more

Abstract read
In one paragraph

Article in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Ultrasound-activated RuORSC advances · 2026
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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.

Qing-Shan Chen *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Rui-Zhao Cai *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Yan Wang *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Ge-Hao LiangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Kai-Ming ZhangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Xiao-Yu YangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Dong YangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
De-Chang ZhaoState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Xiao-Feng ZhuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China. zhuxfeng@mail.sysu.edu.cn.
Rong DengState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China. dengrong@sysucc.org.cn.
Jun TangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China. tangjun@sysucc.org.cn.

Funding

Natural Science Foundation of China 82172722Science and Technology Project in Guangzhou 2024A04J4150
6 · The paper itself

Abstract

backgroundSuper-enhancers (SEs) are critical regulators of tumorigenesis and represent promising targets for bromodomain and extra-terminal domain inhibitors (BETi). However, clinical studies across various solid tumors, including triple-negative breast cancer (TNBC), have demonstrated limited BETi efficacy. This study aims to investigate SE heterogeneity in TNBC and its influence on BETi effectiveness, with the goal of advancing BETi precision treatment strategies and enhancing therapeutic efficacy.

methodsWe conducted a comprehensive analysis of H3K27ac ChIP-Seq data from TNBC cell lines and clinical samples, integrating multiple bulk RNA-Seq, scRNA-Seq, and stRNA-Seq datasets to characterize the SE landscape and heterogeneity in TNBC. Utilizing various bioinformatics algorithms, CERES scoring, and clinical prognostic data on transcription factors (TFs), we identified core transcriptional regulatory circuits (CRCs) composed of TNBC-specific SEs and master regulators, characterizing different TNBC subtypes. The biological significance of CRCs in these different TNBC subtypes and their influence on BETi sensitivity were evaluated using in vitro and in vivo models.

resultsOur findings revealed a distinct SE landscape in TNBC compared to non-TNBC and normal breast epithelium, allowing TNBC to be classified into distinct subtypes based on TNBC-specific SEs. Importantly, we identified a high-risk mesenchymal development subtype, validated across cell lines and transcriptomic analyses, primarily driven by a CRC consisting of the master regulator VAX2 and a TNBC-specific SE. This SE-VAX2 CRC is essential for sustaining the malignant traits of this subtype and increasing its sensitivity to BETi.

conclusionsOur research clarifies the heterogeneity of SEs in TNBC and identifies a high-risk mesenchymal development subtype driven by the SE-VAX2 CRC. The subtype shows more sensitivity to BETi, supporting its precision application in TNBC.

Indexed as

Biomarkers, TumorEnhancer Elements, GeneticGene Expression Regulation, NeoplasticTriple Negative Breast NeoplasmsAnimalsCell Line, TumorFemaleGene Regulatory NetworksHumansMicePrognosisTranscription FactorsXenograft Model Antitumor AssaysBiomarkers, TumorTranscription FactorsHeterogeneitySuper-enhancersTranscription factorsTriple-negative breast cancer

Identifiers

PMID40361105
PMCPMC12070678

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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.