AI Article Synopsis
- The research aimed to explore how various immune cells influence breast cancer survival rates and to identify key genes linked to these immune cell types.
- The study used data from The Cancer Genome Atlas and the Gene Expression Omnibus to assess immune cell presence in breast tissues, applying the CIBERSORT algorithm for analysis.
- Findings revealed that M1 macrophages and naive B cells improve breast cancer prognosis, while M2 macrophages and monocytes worsen it, indicating the importance of macrophage types in cancer progression and potential therapeutic targets.
Article 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 M1 and B cells naive are beneficial factors for the outlook of individuals with breast cancer (P < 0.05), while Macrophages M2 and Monocytes are detrimental factors for the prognosis of breast cancer patients (P < 0.05). The high infiltration group of macrophage M2 had a poorer prognosis compared to the low infiltration group (P < 0.001); Conversely, the high infiltration group of macrophage M1 had a better prognosis than the low infiltration group (P = 0.002).
Conclusion: The study provided an overview of immune cell infiltration in breast cancer tissues, identifying macrophage M1 and macrophage M2 as potential factors in breast cancer development and progression. Additionally, genes associated with macrophage phenotype were analyzed, offering insights into macrophage polarization mechanisms.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11436547 | PMC |
| http://dx.doi.org/10.1007/s12672-024-01397-z | DOI Listing |
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