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ABSTRACT: Objective
The purpose of this research was to investigate how different types of immune cells impact the outlook of individuals with breast cancer, as well as identify the essential genes associated with immune cell subtype enrichment.Methods
The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database were used to obtain global transcriptome sequencing data sets of breast tissue. The study utilized the CIBERSORT algorithm to determine the presence of 22 different types of immune cells in both breast cancer tissue and normal breast tissue.Immune cell infiltration content was utilized to conduct univariate COX analysis in order to identify risk factors linked to breast cancer prognosis.Results
Univariate COX analysis indicates that Macrophages M
SUBMITTER: Zhang X
PROVIDER: S-EPMC11436547 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature