Expression Characteristics of PAX7 and Its Prognostic Correlation in Breast Cancer

To conduct a thorough analysis of public databases to investigate the expression patterns of the PAX7 gene in breast cancer.

We gathered gene expression data, clinical details, immunohistochemistry images, and genomic information from breast cancer patients through various public databases, such as TCGA, THPA, GEPIA, and cBioPortal. To analyze differential expression, we used the limma package. We assessed the relationship between PAX7 and clinical characteristics using chi-square tests and Fisher's exact tests. For survival analysis, we employed Kaplan-Meier survival curves and Cox regression models to evaluate prognostic factors. Furthermore, we conducted functional clustering analysis to explore the roles of related genes. The MCPcounter and TIMER packages were utilized for analyzing immune infiltration, while statistical computations and visualizations were carried out using the R programming language and its associated packages.

The expression levels of PAX7 in breast cancer tissues were significantly higher than normal tissues. Survival analyses showed that patients with high PAX7 expression had notably lower overall survival, disease-specific survival, and progression-free survival, establishing PAX7 as an independent prognostic factor. Assessments of immune infiltration demonstrated a significant relationship between PAX7 and the levels of Th2 cells, TReg, and TFH. Additionally, Clustering analysis of PAX7 genes showed enrichment in cell division, chromosome regions, and pathways like the cell cycle.

PAX7 was highly expressed in cancer tissues and had a notable impact on patient survival. Furthermore, it was identified as an independent prognostic factor, with related genes being enriched in various biological processes.