Evidence map›Paper›PMID 39613933›Full record

ArticleOncogene2025

Integrative analysis identifies the atypical repressor E2F8 as a targetable transcriptional activator driving lethal prostate cancer.

Furong Huang, Kexin Li, Zhong Chen, Zhifen Cui, William Hankey, Kun Fang, Jingyue Yan, Hongyan Wang, Victor X Jin, Yizhou Dong and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 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.

  1. Review
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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

11 authors.

Furong HuangDepartment of Pathology, Duke University School of Medicine, Durham, NC, USA.
Kexin LiDepartment of Pathology, Duke University School of Medicine, Durham, NC, USA.
Zhong ChenDepartment of Pathology, Duke University School of Medicine, Durham, NC, USA.ORCID http://orcid.org/0000-0002-9644-1737
Zhifen CuiDepartment of Pathology, Duke University School of Medicine, Durham, NC, USA.
William HankeyDepartment of Pathology, Duke University School of Medicine, Durham, NC, USA.
Kun FangData Science Institute, MCW Cancer Center and Mellowes Center for Genome Science and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.
Jingyue YanIcahn Genomics Institute, Precision Immunology Institute, Department of Immunology and Immunotherapy, Department of Oncological Sciences, Tisch Cancer Institute, Biomedical Engineering and Imaging Institute, Friedman Brain Institute , Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Hongyan WangDepartment of Pathology, Duke University School of Medicine, Durham, NC, USA.
Victor X JinData Science Institute, MCW Cancer Center and Mellowes Center for Genome Science and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0002-8765-3471
Yizhou DongIcahn Genomics Institute, Precision Immunology Institute, Department of Immunology and Immunotherapy, Department of Oncological Sciences, Tisch Cancer Institute, Biomedical Engineering and Imaging Institute, Friedman Brain Institute , Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Qianben WangDepartment of Pathology, Duke University School of Medicine, Durham, NC, USA. qianben.wang@duke.edu.ORCID http://orcid.org/0000-0003-2636-7145

Funding

U.S. Department of Defense (United States Department of Defense) W81XWH-22-1-0039
6 · The paper itself

Abstract

Acquired resistance to androgen receptor (AR)-targeted therapies underscores the need to identify alternative therapeutic targets for treating lethal prostate cancer. In this study, we evaluated the prognostic significance of 1635 human transcription factors (TFs) by analyzing castration-resistant prostate cancer (CRPC) datasets from the West and East Stand Up to Cancer (SU2C) cohorts. Through this screening approach, we identified E2F8, a putative transcriptional repressor, as a TF consistently associated with poorer patient outcomes in both cohorts. Notably, E2F8 is highly expressed and active in AR-negative CRPC compared to AR-positive CRPC. Integrative profiling of E2F8 cistromes and transcriptomes in AR-negative CRPC cells revealed that E2F8 directly and non-canonically activates target oncogenes involved in cancer-associated pathways. To target E2F8 in CRPC, we employed the CRISPR/CasRx system to knockdown E2F8 mRNA, resulting in effective and specific downregulation of E2F8 and its target oncogenes, as well as significant growth inhibition in AR-negative CRPC in both cultured cells and xenograft models. Our findings identify and characterize E2F8 as a targetable transcriptional activator driving CRPC, particularly the growth of AR-negative CRPC.

Indexed as

Prostatic NeoplasmsProstatic Neoplasms, Castration-ResistantRepressor ProteinsAnimalsCell Line, TumorGene Expression Regulation, NeoplasticHumansMaleMicePrognosisReceptors, AndrogenTranscriptional ActivationXenograft Model Antitumor AssaysAR protein, humanE2F8 protein, humanReceptors, AndrogenRepressor Proteins

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.