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Updated: Jun 7, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Elevated expression of APOO as a potential prognostic marker in breast cancer: insights from bioinformatic analysis
Yang Bai1,2, Qian Tang3, Liang Zheng4
1Laboratory of Department of Surgery, the First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, Guangdong, China.
Objective:
Apolipoprotein O (APOO) has been identified through bioinformatic prediction analysis as being highly expressed in various tumors, including breast cancer (BRCA). However, further investigations are required to understand and confirm APOO's biological role in BRCA.
Methods:
Bioinformatic analyses were employed to identify genes' expression statuses and their relationship with the prognoses of patients. The genes' functions were determined in cell line by gain or loss of function assays. Mechanistic studies were carried out by western blot.
Results:
Our study reveals a correlation between increased APOO expression and poorer clinical outcomes in BRCA patients. The diagnostic value of APOO was demonstrated by Receiver Operating Characteristic (ROC) curve analysis, showing a notable area under the curve (AUC) of 0.937. Additionally, we observed that APOO knockdown impedes cell proliferation and migration. Gene Set Enrichment Analysis (GSEA) suggests that APOO expression is associated with the regulation of apoptosis and autophagy signaling pathways. Experimentally, modifying APOO expression in vitro influenced apoptosis and autophagy in BRCA cells. In conclusion, our findings indicate a significant link between APOO expression and BRCA progression, mediated through APOO's impact on cellular apoptosis and autophagy.
Conclusions:
Our data show that APOO controls BRCA process through apoptosis and autophagy signal pathway, which might provide multiple promising choices for the treatment of BRCA.
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