Journal Article
. 2019 May; 23(8):4980-4990.
doi: 10.1111/jcmm.14338.

An estrogen receptor (ER)-related signature in predicting prognosis of ER-positive breast cancer following endocrine treatment

Jianing Tang 1 Qiuxia Cui 1 Dan Zhang 2 Xing Liao 1 Jian Zhu 1 Gaosong Wu 1 
Affiliations
  • PMID: 31124293
  •     39 References
  •     9 citations

Abstract

Quite a few estrogen receptor (ER)-positive breast cancer patients receiving endocrine therapy are at risk of disease recurrence and death. ER-related genes are involved in the progression and chemoresistance of breast cancer. In this study, we identified an ER-related gene signature that can predict the prognosis of ER-positive breast cancer patient receiving endocrine therapy. We collected RNA expression profiling from Gene Expression Omnibus database. An ER-related signature was developed to separate patients into high-risk and low-risk groups. Patients in the low-risk group had significantly better survival than those in the high-risk group. ROC analysis indicated that this signature exhibited good diagnostic efficiency for the 1-, 3- and 5-year disease-relapse events. Moreover, multivariate Cox regression analysis demonstrated that the ER-related signature was an independent risk factor when adjusting for several clinical signatures. The prognostic value of this signature was validated in the validation sets. In addition, a nomogram was built and the calibration plots analysis indicated the good performance of this nomogram. In conclusion, combining with ER status, our results demonstrated that the ER-related prognostic signature is a promising method for predicting the prognosis of ER-positive breast cancer patients receiving endocrine therapy.

Keywords: breast cancer; estrogen receptor; nomogram; prognosis.

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