Evidence map›Paper›PMID 41359169›Full record

ArticleCellular and molecular life sciences : CMLS2025

IP-SNPs-seq links noncoding risk alleles to lineage transcription factor programs in prostate cancer.

Wenjie Xu, Qixiang Zhang, Lijuan Qiao, Zixi Wang, Tian Wang, Dandan Dong, Qin Zhang, Liang Wang, Gong-Hong Wei, Peng Zhang

Abstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Wenjie Xu *MOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Qixiang Zhang *MOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Lijuan Qiao *MOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Zixi WangMOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Tian WangMOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Dandan DongMOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
Qin ZhangState Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, 215123, Jiangsu, China.
Liang WangDepartment of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA. liang.wang@moffitt.org.
Gong-Hong WeiMOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China. gonghong_wei@fudan.edu.cn.ORCID http://orcid.org/0000-0001-6546-9334
Peng ZhangMOE Key Laboratory of Metabolism and Molecular Medicine & Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, and Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, 200032, China. peng_zhang@fudan.edu.cn.ORCID http://orcid.org/0000-0002-6389-7404

Funding

Functional characterization of prostate cancer risk loci by high throughput sequencingR01CA250018 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI WANG, LIANG · 2020 to 2023
$1.5M
Fudan University Recruit Funding Fudan University Recruit FundingNational Institute of Health R01 CA250018-01National Key Research and Development Program of China 2022YFC2703600National Natural Science Foundation of China 82073082National Natural Science Foundation of China 82311530050National Natural Science Foundation of China 82372628NCI NIH HHS R01 CA250018Shanghai Interactional Collaborative Project 23410713300Sigrid Jusélius Foundation Sigrid Jusélius FoundationSyöpäjärjestöt Syöpäjärjestöt
6 · The paper itself

Abstract

Most prostate cancer risk variants reside in noncoding DNA, but connecting germline alleles to lineage transcription factor (TF) programs has been challenging. We developed immunoprecipitation-coupled SNPs-seq (IP-SNPs-seq), enabling high-throughput, allele-specific, TF-resolved interrogation of candidate regulatory variants. Screening 903 prostate cancer-associated SNPs with androgen receptor (AR) immunoprecipitation, we identified multiple alleles with biased AR binding and convergent evidence from eQTL and ChIP-seq datasets. Among these, rs7600820 emerged as a functional enhancer variant: the risk G allele conferred stronger reporter activity, heightened AR responsiveness to dihydrotestosterone, and increased ODC1 expression; chromatin profiling and Hi-C revealed an active enhancer loop to the ODC1 promoter. ODC1 was consistently upregulated in primary and metastatic tumors across independent cohorts, associated with adverse clinicopathologic features, and required for prostate cancer cell proliferation. Gene-set enrichment analyses linked high ODC1 expression to MYC target signatures, positioning ODC1 as a clinically relevant, AR-regulated oncogenic node that integrates germline risk with core prostate cancer circuitry. IP-SNPs-seq thus provides a scalable route from association to mechanism, broadly applicable to diverse TFs and diseases, and nominates the AR-rs7600820-ODC1 axis as a potential biomarker and therapeutic vulnerability in androgen-driven prostate cancer.

Indexed as

Polymorphism, Single NucleotideProstatic NeoplasmsTranscription FactorsAllelesCell Line, TumorEnhancer Elements, GeneticGene Expression Regulation, NeoplasticHumansMaleQuantitative Trait LociReceptors, AndrogenAR protein, humanReceptors, AndrogenTranscription FactorsChromatin loopingEQTLGWAS noncoding variantsIP-SNPs-seqODC1Prostate cancerTranscription factor

Identifiers

PMID41359169
PMCPMC12686227

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.