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Updated: Nov 10, 2025
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Analysis of SEC24D Gene in Breast Cancer Based on UALCAN Database
Zhi Liu1, Jing Zhou2, Zhibao Wang3
1Department of Radiology, Affiliated Hospital of North China University of Science and Technology, Tangshan 063000, P.R. China.
Objective:
To analyze the expression and its clinical significance of the SEC24D gene in breast cancer.
Methods:
The dataset of breast cancer were searched in the UALCAN database, and the data obtained were mined and combined with literature analysis.
Results:
The mRNA expression of the SEC24D gene in breast cancer tissues was significantly higher than that of breast normal tissues from the UALCAN database (P < 0.05). The promoter methylation levels of the SEC24D gene in breast cancer tissues were lower than that of breast normal tissues (P < 0.05). Survival analysis showed that the relapse-free survival of breast cancer patients with a higher expression of SEC24D gene was significantly worse than those patients with a lower expression of SEC24D (P < 0.05).
Conclusion:
The SEC24D gene has a high expression in breast cancer tissues and its expression level was related to the prognosis of breast cancer patients.
