Related Experiment Video
Updated: Dec 29, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Expression and Prognostic Significance of BANF1 in Triple-Negative Breast Cancer
1The Department of Blood Transfusion, Zhengzhou University First Affiliated Hospital, Zhengzhou, People's Republic of China.
Aim:
To investigate the expression of barrier-to-autointegration factor 1 (BANF1) and its prognostic significance in triple-negative breast cancer (TNBC).
Methods:
BANF1 immunohistochemical detection was performed in 60 TNBC specimens and 30 normal control tissues. Real-time PCR was performed to assess the expression of BANF1 gene in TNBC tissues and their correlations with proliferation and metastasis. Kaplan-Meier survival analysis was used to assess the effect of BANF1 expression on the relapse-free survival (RFS) of TNBC patients. Univariable and multivariable Cox proportional hazards regression model analysis was used to confirm independent prognostic factors.
Results:
Expression of BANF1 in TNBC was significantly higher than that of the normal control group (p<0.001), and it was related to the status of lymph node metastasis and TNM staging (p<0.05), and not related to age and tumor size (p>0.05). BANF1 expression has a positive correlation with MKI67 and MTA1 expression (p<0.01). Univariable analysis showed that expression of BANF1, the status of lymph node metastasis and TNM stage were related to the relapse-free survival (RSF) of TNBC patients (p<0.001, p=0.001, p=0.013, respectively). Multivariable Cox regression indicated that the status of lymph node metastasis was an independent prognostic factor for TNBC patients (p<0.001). The survival curve suggested that the survival times for TNBC patients with high BANF1 expression have no difference compared with that for the low-expression patients (p>0.05).
Conclusion:
Expression of BANF1 may play a role in the occurrence and development of TNBC. Lymph node metastasis was the only independent prognostic factor predicts a poor prognosis.

