Volume 20 Issue 7
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Article Navigation >  Chinese Journal of General Practice  > 2022  >  20(7): 1235-1239
WANG Yan, LIU Xian-fu, XU Bo, ZHANG Bo. Expression and significance of SEC61G in invasive breast cancer[J]. Chinese Journal of General Practice, 2022, 20(7): 1235-1239. doi: 10.16766/j.cnki.issn.1674-4152.002566
Citation: WANG Yan, LIU Xian-fu, XU Bo, ZHANG Bo. Expression and significance of SEC61G in invasive breast cancer[J]. Chinese Journal of General Practice, 2022, 20(7): 1235-1239. doi: 10.16766/j.cnki.issn.1674-4152.002566
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Expression and significance of SEC61G in invasive breast cancer

doi: 10.16766/j.cnki.issn.1674-4152.002566

  • Department of Oncology, the First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui 233004, China

Funds:

 KJ2019A0341

 BYKY2019127ZD

  • Received Date: 2021-11-10
    Available Online: 2022-09-23
    Abstract
  •   Objective  To analyze the expression of SEC61G in invasive breast cancer from tumor Genome Map (TCGA) database and its relationship with clinical prognosis.  Methods  The RNAseq data of 1 222 patients with invasive breast cancer were collected from TCGA database. Wilcoxon rank sum test was used to analyze the difference of SEC61G expression between normal and tumor tissues. Logistic regression was used to analyze the relationship between SEC61G expression and clinicopathological features. Kaplan-Meier method and Cox regression analysis were used to evaluate the role of SEC61G in prognosis.  Results  The expression of SEC61G in invasive breast cancer was significantly higher than that in normal breast tissue (P < 0.001). T stage (P=0.028), N stage (P=0.009), pathological stage (P=0.003), ER status (P < 0.001), PR status (P < 0.001), HER2 status (P=0.025) and histological type (P < 0.001) were significantly correlated with SEC61G expression. Univariate Cox regression analysis showed that the high expression of SEC61G was associated with DSS (P < 0.001, HR=0.426, 95% CI: 0.272-0.668). Multivariate Cox analysis showed that high expression of SEC61G was an independent risk factor for DSS (P=0.009, HR=0.479, 95% CI: 0.276-0.831). The K-M curve of each group showed that the higher the expression of SEC61G in tumor tissue, the worse the prognosis of invasive breast cancer patients (P < 0.05).  Conclusion  The high expression of SEC61G is related to the poor prognosis of invasive breast cancer and can be used as an effective biomarker to predict the survival of patients with invasive breast cancer.

     

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