Exploring the prognostic value and biomarker of TEX11 in breast cancer via PANoptosis.

[BACKGROUND] Breast cancer (BRCA) is substantial risk to human health and life. Studies have shown that PANoptosis and explores relationship between PANoptosis and BRCA patient's prognosis.

[METHODS] The TCGA-BRCA cohort and GSE7390 dataset were analyzed to investigate 19 PANoptosis-related genes (PRGs). Differentially expressed genes (DEGs 1) between BRCA and normal samples were identified, and Weighted Gene Co-expression Network Analysis (WGCNA) was applied to select genes most correlated with the PANoptosis score. Key module genes were intersected with DEGs 1, and candidate genes were determined using Kaplan-Meier analysis, stratifying BRCA samples into high- and low-expression groups. TEX11-related DEGs were further explored. Prognostic candidate genes were screened via univariate Cox and LASSO regression, and final independent prognostic factors were confirmed through univariate and multivariate Cox analyses.

[RESULTS] The 578 intersection genes were acquired via taking intersection of 5,044 DEGs 1 and 1,947 key module genes. TEX11 was subsequently selected for further analysis among these. TEX11 expression levels classify BRCA patients into a high and low group. According to GSEA, regulation of T cell-mediated cytotoxicity was concentrated in the TEX11 high group. 14 differential immune cells were identified, and TEX11 was positively relevant to M1 Macrophages. Next, nine immune checkpoints and TIDE scores in high-expression group showed an upward trend. Moreover, 18 drugs were significant differences between two expression groups, such as Gemcitabine. Finally, 5 biomarkers and 3 independent prognostic factors were identified.

[CONCLUSION] This study established TEX11 as important gene related to prognosis of BRCA, identified five related BRCA biomarkers, highlighted three independent prognostic factors.