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Dataset Information

Molecular classification of hormone-sensitive and castration-resistant prostate cancer, using nonnegative matrix factorization molecular subtyping of primary and metastatic specimens.


ABSTRACT:

Background

Despite the rapidly evolving therapeutic landscape, immunotherapy has demonstrated limited activity in prostate cancer. A greater understanding of the molecular landscape, particularly the expression of immune-related pathways, will inform future immunotherapeutic strategies. Consensus nonnegative matrix factorization (cNMF) is a novel model of molecular classification analyzing gene expression data, focusing on biological interpretation of metagenes and selecting meaningful clusters.

Objective

We aimed to identify molecular subtypes of prostate cancer using cNMF and correlate these with existing biomarkers to inform future immunotherapeutic strategies.

Methods

A cohort of archival tumor specimens from hormone-sensitive and castration-resistant disease was

SUBMITTER: Yuen KC 

PROVIDER: S-EPMC9321082 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature