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A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasis

GSE324131 Homo sapiens Expression profiling by high throughput sequencing 38 samples Submitted 2026/05/01 Platform GPL34281
Summary
Prostate cancer encompasses a spectrum of disease states driven by complex cellular heterogeneity. To delineate the transcriptional programs underlying lineage plasticity and metastasis, we constructed a comprehensive single-cell atlas of 128 patients, spanning localized, castration-resistant, and metastatic disease. Lineage plasticity was prevalent in localized disease, with subsets of tumor cells adopting distinct basal-like and club-like states. Luminal-like cancer cells also displayed extensive lineage infidelity, defined not by a binary loss of identity but by the combinatorial erosion of luminal gene modules associated with higher grade and stage. In the metastatic setting, gene program association analysis (GPAS) identified a broad induction of cell-cycle gene modules across organ sites as well as an induction of organ-specific gene modules, including osteomimetic signaling in bone, neuro-migratory genes in brain, and erythroid-like transitions in liver. Neuroendocrine prostate cancers (NEPCs) were not monolithic but defined by combinations of NE-associated gene modules including a novel HES6 program. Notably, these modules were detected at intermediate levels in localized samples, suggesting molecular plasticity precedes histological transformation. We also developed a refined NE signature that could distinguish NEPC tumors more accurately than previously published signatures. Within the tumor microenvironment (TME), we observed an elevation of pro-inflammatory Th17 T-cells in African American patients and identified a rare Schwann cell population. Finally, we present PCformer, a transformer-based foundation model trained on >500,000 cells to automate cell-state classification. Together, this comprehensive atlas demonstrates the complex nature of gene modules underlying lineage infidelity and plasticity in cancer cells and highlights distinct immune and stromal populations within the tumor ecosystem.
Published in
Defining the combinatorial nature of gene modules in prostate cancer underlying lineage plasticity and metastasis
Song H, Xu J, Velazquez-Arcelay K et al. · Research square 2026 · PMID 42183352 · doi:10.21203/rs.3.rs-9430776/v1
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Direct links to NCBI, no account and no request form: the whole study as GSE324131_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 38 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1433496 and SRA study SRP681768. Searching any of these in the dataset finder brings you back here.

Study design
13 conditions, mostly in duplicate
Patient_PCa3_Tumor_Replica ×4 Patient_PCa6_Tumor_Replica ×4 Patient_PR5316_N_apex_V ×2 Patient_PR5316_N_base_V ×2 Patient_PR5316_T_apex_V ×2 Patient_PROS505-3_replicaA ×2 Patient_PROS505-3_replicaB ×2 Patient_PROS505-3_replicaC ×2 +13 more

Supports a between-group comparison across 30 samples.

13 replicated groups read from 38 sample titles; they account for 30 of them. Check it against the sample list below before relying on it.

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