Prognostic models in male breast cancer

被引:4
作者
van der Pol, Carmen C. [1 ]
Lacle, Miangela M. [4 ]
Witkamp, Arjen J. [1 ]
Kornegoor, Robert [5 ]
Miao, Hui [6 ]
Bouchardy, Christine [7 ]
Rinkes, Inne Borel [1 ]
van der Wall, Elsken [2 ]
Verkooijen, Helena M. [3 ]
van Diest, Paul J. [4 ]
机构
[1] Univ Med Ctr Utrecht, Dept Surg Oncol, POB 85500, NL-3508 GA Utrecht, Netherlands
[2] Univ Med Ctr Utrecht, Dept Med Oncol, Utrecht, Netherlands
[3] Univ Med Ctr Utrecht, Dept Radiol, Utrecht, Netherlands
[4] Univ Med Ctr Utrecht, Dept Pathol, Utrecht, Netherlands
[5] Gelre Ziekenhuis, Dept Pathol, Apeldoorn, Netherlands
[6] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore, Singapore
[7] Univ Geneva, Geneva Canc Registry, Inst Social & Prevent Med, Geneva, Switzerland
关键词
Male breast cancer; Prognosis; Survival; Adjuvant! Online; NPI; Predict; POPULATION-BASED VALIDATION; MAMMARY-CARCINOMA PROJECT; TERM FOLLOW-UP; ADJUVANT ONLINE; INDEX; PROGRAM; MORPHOMETRY; SURVIVAL; PREDICT;
D O I
10.1007/s10549-016-3991-9
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Breast cancer in men is uncommon; it accounts for 1 % of all patients with primary breast cancer. Its treatment is mostly extrapolated from its female counterpart. Accurate predictions are essential for adjuvant systemic treatment decision-making and informing patients. Several predictive models are available for female breast cancer (FBC) including the Morphometric Prognostic Index (MPI), Nottingham Prognostic Index (NPI), Adjuvant! Online and Predict. The aim of this study was to examine and compare the prognostic performance of these models for male breast cancer (MBC). The population of this study consists of 166 MBC patients. The prognostic scores of the patients are categorized by good, (moderate) and poor, defined by the test itself (MPI and NPI) or based on tertiles (Adjuvant! Online and Predict). Survival according to prognostic score was compared by Kaplan-Meier analysis and differences were tested by logRank. The prognostic performances were evaluated with C-statistics. Calibration was done with the aim to estimate to what extent the survival rates predicted by Predict were similar to the observed survival rates. All prediction models were capable of discriminating between good, moderate and poor survivors. P-values were highly significant. Comparison between the models using C-statistics (n = 88) showed equal performance of MPI (0.67), NPI (0.68), Adjuvant! Online (0.69) and Predict (0.69). Calibration of Predict showed overestimation for MBC patients. In conclusion, MPI, NPI, Adjuvant! and Predict prognostic models, originally developed and validated for FBC patients, also perform quite well for MBC patients.
引用
收藏
页码:339 / 346
页数:8
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