Multi-omics analysis constructs a novel neuroendocrine prostate cancer classifier and classification system

Multi-omics analysis constructs a novel neuroendocrine prostate cancer classifier and classification system

Abstract Neuroendocrine prostate cancer (NEPC), a subtype of prostate cancer (PCa) with poor prognosis and high heterogeneity, currently lacks accurate markers. This study aims to identify a robust NEPC classifier and provide new perspectives for resolving intra- tumoral heterogeneity. Multi-omics a...

Full description

Saved in:
Bibliographic Details
Main Authors: Junxiao Shen, Luyuan Lu, Zujie Chen, Wei Guo, Shuwen Wang, Ziqiao Liu, Xuke Gong, Yiming Qi, Ruyi Jin, Cheng Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Neuroendocrine prostate cancer (NEPC)
Multi-omics
Computational biology and bioinformatics
Tumor biomarkers
Tumor heterogeneity
Online Access:https://doi.org/10.1038/s41598-025-96683-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-96683-3

Similar Items