Evidence map›Paper›PMID 39825430›Full record

ArticleGenome biology2025

Enhancer regulatory networks globally connect non-coding breast cancer loci to cancer genes.

Yihan Wang, Daniel A Armendariz, Lei Wang, Huan Zhao, Shiqi Xie, Gary C Hon

Abstract read
In one paragraph

Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  6. Reprogramming of neuronal genome function and phenotype by astrocytes.bioRxiv : the preprint server for biology · 2026
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  13. Identification and functional analysis ofTranslational cancer research · 2025
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yihan WangCecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Daniel A ArmendarizCecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Lei WangCecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Huan ZhaoCecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Shiqi XieCecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Gary C HonCecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA. Gary.Hon@UTSouthwestern.edu.

Funding

Multiscale functional characterization of genomic variation in human developmental disordersUM1HG011996 · NHGRI · UT SOUTHWESTERN MEDICAL CENTER · PI Gary Chung Hon, WILLIAM Lee KRAUS · 2021 to 2026
$10.5M
Determinants of Cell State ReprogrammingR35GM145235 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Gary Chung Hon · 2022 to 2026
$2.3M
NHGRI NIH HHS UM1 HG011996NIGMS NIH HHS R35 GM145235
6 · The paper itself

Abstract

backgroundGenetic studies have associated thousands of enhancers with breast cancer (BC). However, the vast majority have not been functionally characterized. Thus, it remains unclear how BC-associated enhancers contribute to cancer.

resultsHere, we perform single-cell CRISPRi screens of 3513 regulatory elements associated with breast cancer to measure the impact of these regions on transcriptional phenotypes. Analysis of > 500,000 single-cell transcriptomes in two breast cancer cell lines shows that perturbation of BC-associated enhancers disrupts breast cancer gene programs. We observe BC-associated enhancers that directly or indirectly regulate the expression of cancer genes. We also find one-to-multiple and multiple-to-one network motifs where enhancers indirectly regulate cancer genes. Notably, multiple BC-associated enhancers indirectly regulate TP53. Comparative studies illustrate subtype specific functions between enhancers in ER + and ER - cells. Finally, we develop the pySpade package to facilitate analysis of single-cell enhancer screens.

conclusionsOverall, we demonstrate that enhancers form regulatory networks that link cancer genes in the genome, providing a more comprehensive understanding of the contribution of enhancers to breast cancer development.

Indexed as

Breast NeoplasmsEnhancer Elements, GeneticGene Expression Regulation, NeoplasticGene Regulatory NetworksCell Line, TumorFemaleHumansSingle-Cell AnalysisBreast cancerCancer genomicsEnhancersFunctional genomicsPerturb-seqRegulatory networksSingle-cell

Identifiers

PMID39825430
PMCPMC11740497

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LicenceCC BY-NC-ND
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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.