ArticleCellular and molecular life sciences : CMLS2025
IP-SNPs-seq links noncoding risk alleles to lineage transcription factor programs in prostate cancer.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.