← BioTransfer GEO Dataset Finder
GEO series

PROX1 is an Early Driver of AR Pathway Loss and Lineage Plasticity in Prostate Cancer

GSE277727 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/06/04 Platform GPL24676
Summary
Lineage plasticity in prostate cancer is now recognized as a critical determinant of lethality. It represents a continuum, ranging from AR activity-low tumors to AR-null tumors that do not express a neuroendocrine prostate cancer (NEPC) program—referred to as double-negative prostate cancer (DNPC)—and fully AR-null NEPC tumors. Despite its importance, factors upregulated early in the process of lineage plasticity have yet to be identified. Identifying such factors is crucial for detecting tumors that are undergoing lineage plasticity or are at risk of developing it. Through integrative genomic analysis of metastatic castration-resistant prostate cancer patient tumors, patient-derived xenografts, and cell models, we found that PROX1 is upregulated early in the lineage plasticity continuum, particularly in AR activity-low tumors, and progressively increases in DNPC and NEPC tumors. Our functional studies demonstrated that PROX1 plays a pivotal role in NEPC, as its knockdown (KD) using lentiviral shRNA reduces the neuroendocrine phenotype, decreases cell proliferation, and increases apoptosis. In this dataset, we provide RNA-seq data from PROX1 KD in NEPC cells (NCI-H660), revealing key pathways altered by PROX1 suppression. These findings suggest that PROX1 is a promising target in NEPC treatment.
Published in
PROX1 is an early driver of lineage plasticity in prostate cancer
Duan Z, Shi M, Kumaraswamy A et al. · The Journal of clinical investigation 2025 · PMID 40454483 · doi:10.1172/JCI187490
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE277727_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1163680 and SRA study SRP533992. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.