Evidence map›Paper›PMID 39950845›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Enhancer RNA Transcriptome-Wide Association Study Reveals a Distinctive Class of Pan-Cancer Susceptibility eRNAs.

Wenyan Chen, Zeyang Wang, Yinuo Wang, Jianxiang Lin, Shuxin Chen, Hui Chen, Xuelian Ma, Xudong Zou, Xing Li, Yangmei Qin and 5 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

15 authors.

Wenyan ChenInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Zeyang WangInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Yinuo WangInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Jianxiang LinNinth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200125, China.
Shuxin ChenInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Hui ChenInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Xuelian MaInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Xudong ZouInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Xing LiInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Yangmei QinInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Kewei XiongInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Xixian MaInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
Qi LiaoSchool of Public Health, Health Science Center, Ningbo University, Ningbo, 315211, China.
Yunbo QiaoNinth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200125, China.
Lei LiInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.ORCID https://orcid.org/0000-0003-3924-2544

Funding

National Natural Science Foundation of China 32100533National Natural Science Foundation of China 32370721National Natural Science Foundation of China 82371668Natural Science Foundation of Shanghai 23HC1400700Natural Science Foundation of Shanghai 23ZR1437700Open grant funds from Shenzhen Bay Laboratory SZBL2021080601001
6 · The paper itself

Abstract

Many cancer risk variants are located within enhancer regions and lack sufficient molecular interpretation. Here, we constructed the first comprehensive atlas of enhancer RNA (eRNA)-mediated genetic effects from 28 033 RNA sequencing samples across 11 606 individuals, identifying 21 073 eRNA quantitative trait loci (eRNA-QTLs) significantly associated with eRNA expression. Mechanistically, eRNA-QTLs frequently altered binding motifs of transcription factors. In addition, 28.48% of cancer risk variants are strongly colocalized with eRNA-QTLs. A pan-cancer eRNA-based transcriptome-wide association study is conducted across 23 major cancer types, identifying 626 significant cancer susceptibility eRNAs predicted to modulate cancer risk via eRNA, from which 54.90% of the eRNA target genes are overlooked by traditional gene expression studies, and most are essential for cancer cell proliferation. As proof of principle validation, the enhancer functionality of two newly identified susceptibility eRNAs, CCND1e and SNAPC1e, is confirmed through CRISPR inhibition and shRNA-mediated knockdown, resulting in a marked decrease in the expression of their respective target genes, consequently suppressing the proliferation of prostate cancer cells. The study underscores the essential role of eRNA in unveiling new cancer susceptibility genes and establishes a strong framework for enhancing our understanding of human cancer etiology.

Indexed as

Enhancer Elements, GeneticGenetic Predisposition to DiseaseNeoplasmsRNATranscriptomeEnhancer RNAsGene Expression Regulation, NeoplasticGenome-Wide Association StudyHumansQuantitative Trait LociEnhancer RNAsRNAenhancer RNAgenome‐wide association studynoncoding variantspan‐cancertranscriptome‐wide association study

Identifiers

PMID39950845
PMCPMC11967800

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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.