Introducing novel and comprehensive models for predicting recurrence in breast cancer using the group LASSO approach: are estimates of early and late recurrence different?

被引:7
作者
Akrami, Majid [1 ]
Arasteh, Peyman [1 ,2 ]
Eghbali, Tannaz [1 ]
Shahraki, Hadi Raeisi [3 ]
Tahmasebi, Sedigheh [1 ]
Zangouri, Vahid [4 ]
Rezaianzadeh, Abbas [1 ]
Talei, Abdolrasoul [1 ]
机构
[1] Shiraz Univ Med Sci, Breast Dis Res Ctr, Shiraz, Iran
[2] Fasa Univ Med Sci, Noncommunicable Dis Res Ctr, Fasa, Iran
[3] Shahrekord Univ Med Sci, Fac Hlth, Dept Biostat & Epidemiol, Shahrekord, Iran
[4] Shiraz Univ Med Sci, Surg Oncol Div, Gen Surg Dept, Shiraz, Iran
关键词
Breast cancer; Early; Late; Recurrence; Prediction; Model; PROGNOSTIC MODEL; METAANALYSIS; SURVIVORS; EXERCISE; RISK;
D O I
10.1186/s12957-018-1489-0
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: In here, we constructed personalized models for predicting breast cancer (BC) recurrence according to timing of recurrence (as early and late recurrence). Methods: An efficient algorithm called group LASSO was used for simultaneous variable selection and risk factor prediction in a logistic regression model. Results: For recurrence < 5 years, age (OR 0.96, 95% CI = 0.95-0.97), number of pregnancies (OR 0.94, 95% CI = 0. 89 0.99), family history of other cancers (OR 0.73, 95% CI = 0.60-0.89), hormone therapy (OR 0.76, 95% CI = 0.61-0. 96), dissected lymph nodes (OR 0.98, 95% CI = 0.97-0.99), right-sided BC (OR 0.87, 95% CI = 0.77-0.99), diabetes (OR 0.77, 95% CI = 0.60-0.98), history of breast operations (OR 0.38, 95% CI = 0.17-0.88), smoking (OR 5.72, 95% CI = 2. 11-15.55), history of breast disease (OR 3.32, 95% CI = 1.92-5.76), in situ component (OR 1.58, 95% CI = 1.35-1.84), tumor necrosis (OR 1.87, 95% CI = 1.57-2.22), sentinel lymph node biopsy (SLNB) (OR 2.90, 95% CI = 2.05-4.11) and SLNB+axillary node dissection (OR 3.50, 95% CI = 2.26-5.42), grade 3 (OR 1.79, 95% CI = 1.46-2.21), stage 2 (OR 2.71, 95% CI = 2.18-335), stages 3 and 4 (OR 5.01, 95% CI = 3.52-7.13), and mastectomy+radiotherapy (OR 2.97, 95% CI = 2.39-3.68) were predictors of recurrence <5 years. Moreover, relative to mastectomy without radiotherapy (as reference for comparison), quadrantectomy without radiotherapy had a noticeably higher odds ratio compared to quadranectomy with radiotherapy for recurrence <5 years. (OR 17.58, 95% CI = 6.70-46.10 vs. OR: 2.50, 95% CI = 2-3.12). Accuracy, sensitivity, and specificity of the model were 82%, 75.6%, and 74.9%, respectively. For recurrence > 5 years, stage 2 cancer (OR 1.67, 95% CI = 1.31-2.14) and radiotherapy+mastectomy (OR 2.45, 95% CI = 1.81-3.32) were significant predictors; furthermore, relative to mastectomy without radiotherapy (as reference for comparison), quadranectomy without radiotherapy had a noticeably higher odds ratio compared to quadranectomy with radiotherapy for recurrence > 5 years (OR 7.62, 95% CI = 1.52-38.15 vs. OR 1.75, 95% CI = 1.32-2.32). Accuracy, sensitivity, and specificity of the model were 71%, 78.8%, and 55.8%, respectively. Conclusion: For the first time, we constructed models for estimating recurrence based on timing of recurrence which are among the most applicable models with excellent accuracy (> 80%).
引用
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页数:12
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