Related Experiment Video For SFRP1
Updated: Feb 2, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Identification and integrated analysis of key differentially expressed circular RNAs in ER-positive subtype breast
Chenwei Yuan1, Liheng Zhou1, Lei Zhang1
1Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, PR China.
Aim:
To systematically profile and characterize the circular RNA (circRNA) expression pattern in estrogen receptor (ER)-positive breast cancer (BC).
Materials & Methods:
CircRNA expression profile was performed in ER-positive BC and adjacent nontumor tissues. The differentially expressed circRNAs (DECs) was analyzed by bioinformatics. The analysis findings were validated by quantitative real-time PCR.
Results:
In total, 3653 DECs were detected in our ER-positive BC compared with the control. Bioinformatics analysis showed that some pathways related to cancer, especially BC, were significantly enriched. Additionally, hsa_circ_0087378 was validated to be downregulated in ER-positive BC and the hsa_circ_0087378-miR-1260b-SFRP1 axis was proposed to be a key regulatory pathway.
Conclusion:
This study revealed the general expression characteristics of specific DECs in ER-positive BC and hsa_circ_0087378 might be a promising candidate target.
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