Treatment strategies and predicting prognoses in elderly patients with breast cancer
Authors Wang Z, Zhou Z, Li W, Wang W, Xie X, Liu J, Song Y, Dang C, Zhang H
Received 22 December 2017
Accepted for publication 30 May 2018
Published 4 September 2018 Volume 2018:10 Pages 3207—3218
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 4
Editor who approved publication: Professor Lu-Zhe Sun
Zhi Wang,1,2,* Zhangjian Zhou,1,* Wenxing Li,1 Wei Wang,3 Xin Xie,1 Jincheng Liu,2 Yongchun Song,1 Chengxue Dang,1 Hao Zhang1
1Division of Surgical Oncology, The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China; 2Division of Surgery, Shaanxi Tuberculosis Hospital, Changan District, Xi’an, Shaanxi, People’s Republic of China; 3Division of Gynaecology and Obstetrics, The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
*These authors contributed equally to this work
Objective: The prevalence of breast cancer in elderly women (older than 80 years) is expected to rise more dramatically than its incidence. In this study, we evaluated the evidence for treatment guidelines for elderly breast cancer patients.
Patients and methods: All included patients were enrolled from 2010 to 2013 from the Surveillance, Epidemiology, and End Results (SEER) database. The Akaike information criterion (AIC) and Harrell’s C statistic were used to perform comparisons. In addition, a propensity score analysis was used to avoid bias caused by data selection criteria. Prognostic factors were selected as nomogram parameters to develop a model to predict survival.
Results: A total of 16998 patients included in the SEER database from 2010 to 2013 had breast cancer and fulfilled the study criteria. Of whom, 13007 patients underwent surgery. Overall survival and cancer-specific survival were significantly better in patients who underwent surgery and/or radiotherapy than in those who did not (P<0.001). In addition, a nomogram system with a C index of 0.83 and an AIC index of 11112.85 was better able to predict prognoses and estimate cancer-specific survival in elderly patients with breast cancer.
Conclusion: A localized surgical approach might provide better results in elderly breast cancer patients. However, radiotherapy improved cancer-specific survival and overall survival in these patients. In addition, a prognostic nomogram directly quantified patient risk by accounting for various prognostic factors without forming risk groups and was better able to estimate cancer-specific survival.
Keywords: breast cancer, elderly patients, survival, prediction, nomogram
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