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

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.

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Publication Details

Journal
Cellular and Molecular Life Sciences
Published
2025-12-08
DOI
https://doi.org/10.1007/s00018-025-05964-7
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Gong‐Hong Wei, Tian Wang, Peng Zhang, Qin Zhang et al.
Cellular and Molecular Life Sciences
Prostate Cancer Treatment and Research
article

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

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

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.

Cellular and Molecular Life SciencesVol. 82(1)
Shanghai Medical College of Fudan University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Fudan University (CN), Moffitt Cancer Center (US), Fudan University Shanghai Cancer Center (CN), Suzhou Institute of Systems Medicine (CN), University of Oulu (FI)
National Natural Science Foundation of China, Fudan University, China Scholarship Council, Chinese Academy of Medical Sciences, Sigrid Juséliuksen Säätiö, Peking Union Medical College, National Key Research and Development Program of China
Openalex Percentile: Top 42%
Prostate Cancer Treatment and Research
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