Identification macrophage signatures in prostate cancer by single-cell sequencing and machine learning.

ABSTRACT:

Background

The tumor microenvironment (TME) encompasses a variety of cells that influence immune responses and tumor growth, with tumor-associated macrophages (TAM) being a crucial component of the TME. TAM can guide prostate cancer in different directions in response to various external stimuli.

Methods

First, we downloaded prostate cancer single-cell sequencing data and second-generation sequencing data from multiple public databases. From these data, we identified characteristic genes associated with TAM clusters. We then employed machine learning techniques to select the most accurate TAM gene set and developed a TAM-related risk label for prostate cancer. We analyzed the tumor-relatedness of the TAM-related risk label and different risk groups within the population. Fin

SUBMITTER: Kang Z 

PROVIDER: S-EPMC10864475 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature