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Dataset Information

New insights into markers for distinguishing neuroendocrine prostate cancer: evidence from single-cell analysis.


ABSTRACT:

Background

Neuroendocrine prostate cancer (NEPC) is a highly aggressive malignancy with few effective treatment options. The identification of reliable biomarkers for NEPC is essential for early detection and intervention.

Methods

We combined single-cell and bulk transcriptome analysis to identify novel markers of NEPC. InferCNV to assess copy number variations and leveraging consensus non-negative matrix factorization (cNMF) to characterize transcriptional programs. Pseudotime analysis was used to decipher prostate cancer (PCa) progression differentiation trajectory. BayesPrism integrates single-cell results and TCGA-PRAD sequencing information to further study prognostic features. Immunohistochemistry (IHC) was performed to validate the elevated expression of ASCL1 and WDF

SUBMITTER: Luo H 

PROVIDER: S-EPMC11955813 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature