Oncotarget

Research Papers:

SF3B1 mutation is a poor prognostic indicator in luminal B and progesterone receptor-negative breast cancer patients

Xing Fu, Ming Tian, Jia Gu, Teng Cheng, Ding Ma, Ling Feng and Xing Xin _

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Oncotarget. 2017; 8:115018-115027. https://doi.org/10.18632/oncotarget.22983

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Abstract

Xing Fu1,*, Ming Tian2,*, Jia Gu3, Teng Cheng4, Ding Ma5, Ling Feng5 and Xing Xin5

1Department of Pediatric Hematology, Children’s Hospital of Hainan Province, Haikou 570000, Hainan, P.R.China

2Department of Nephrology, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, P.R.China

3Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, P.R. China

4Department of Breast and Thyroid Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, P.R.China

5Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, P.R.China

*These authors contributed equally to this work

Correspondence to:

Xing Xin, email: M200975613@163.com

Ling Feng, email: fltj007@163.com

Keywords: SF3B1 mutation; luminal B; progesterone receptor-negative (PR-negative); breast cancer; prognostic parameters

Received: September 01, 2017     Accepted: November 16, 2017     Published: December 05, 2017

ABSTRACT

The purpose of this study was to explore the relationship between SF3B1 mutations and the prognoses of patients with breast cancer. Clinical and SF3B1 mutation data from The Cancer Genome Atlas were analyzed. SF3B1 mutations were evaluated as prognostic factors in all breast cancer patients and specific subgroups through Cox regression and Kaplan-Meier analyses. We also investigated the relationship between traditional parameters and SF3B1 mutations. Receiver operating characteristics curves were used to analyze common risk factors for their sensitivity and specificity in predicting SF3B1 mutations. SF3B1 mutations were a poor prognostic factor in luminal B and progesterone receptor (PR)-negative breast cancer (P < 0.01). Age at diagnosis and estrogen receptor (ER) status were associated with SF3B1 mutations in all breast cancers (P < 0.01) and in luminal B and PR-negative subgroups (P < 0.01). The age at diagnosis and ER status combined had a higher sensitivity and specificity for predicting SF3B1 mutations than each factor alone. SF3B1 mutations are a poor prognostic factor in luminal B and PR-negative breast cancer patients. These mutations are significantly associated with age at diagnosis and ER status. SF3B1 mutations may therefore be a novel therapeutic target for breast cancer patients.


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