Omics · study · 2026
Distinct treatment-induced neuroendocrine prostate cancer subtypes predict prognosis
Listed in NCBI GEO
Second-generation hormonal therapy inhibits castration-resistant prostate cancer (CRPC), but the tumor eventually recurs as neuroendocrine prostate cancer (NEPC) and turns lethal.
Description
With limited treatment options for advanced CRPC exhibiting an NEPC phenotype, we aimed to elucidate the mechanisms of adeno-to-neuroendocrine lineage transition to guide the development of effective therapeutic strategies. By integrating single-cell RNA sequencing data from fresh human CRPC cases, we identified three distinct neuroendocrine subtypes in CRPC: a REST-dependent subtype (NE I), an N-Myc-dependent subtype (NE II), and a combined N-Myc/REST subtype (NE I+II) among 5,797 neuroendocrine-like epithelial cells.
These subtypes were validated through multiplex immunofluorescence staining. Single-cell trajectory analysis uncovered N-Myc and REST as key transcription factors driving these distinct neuroendocrine lineages, and multi-omics time course analysis of publicly available transcriptomic data further recapitulated the N-Myc and REST lineage progression. Notably, we observed PSMA loss in the N-Myc lineage and identified STMN1 as a biomarker for PSMA-negative NEPC.
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We further validated the prognostic value of STMN1 in the TCGA dataset and in 60 in-house CRPC tissues. Our analyses provide valuable insights into the adeno-to-neuroendocrine lineage transition in prostate cancer, offering a powerful tool for early detection of lethal NEPC phenotypes and guiding 177Lu-PSMA-617 therapy for advanced CRPC.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE306nnn/GSE306625 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE306625 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1311508 ncbi.nlm.nih.gov/bioproject/PRJNA1311508 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE306625 | 14 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |