首页> 外文期刊>Anticancer Research: International Journal of Cancer Research and Treatment >Predictive value of different prognostic factors in breast cancer recurrences: multivariate analysis using a logistic regression model.
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Predictive value of different prognostic factors in breast cancer recurrences: multivariate analysis using a logistic regression model.

机译:乳腺癌复发中不同预后因素的预测价值:使用逻辑回归模型进行多变量分析。

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BACKGROUND: The aim of this study was to compare the sensitivity of different pre-operative parameters in patients with breast cancer (BC) recurrence using univariate and multivariate analysis. MATERIALS AND METHODS: We retrospectively analyzed a series of 387 women (median age 60 years, range 35-83 years) who underwent curative surgery for pT1-2 BC. The patients were divided into two groups: Group 1: 325 (84.0%) patients with no evidence of disease during a median follow-up of 53 months (range 25-149 months) and Group 2: 62 (16.0%) patients who developed local or distant recurrences. RESULTS: Univariate analysis showed significant (p<0.01) differences between the two Groups in age, size and grading of the tumor and hormone receptor rate. MIB1 proliferation rate, serum markers CEA and CA 15-3, and lymph node status were not useful in predicting relapse. Multivariate analysis using a logistic regression model showed that only age, size of the tumor and hormone receptor rate independently correlate with the onset of recurrences. CONCLUSION: There is no clear correlation between BC recurrence and the majority of the prognostic factors available. Multivariate analysis of several pre-operative parameters may help to correctly select the high risk population.
机译:背景:本研究的目的是使用单因素和多因素分析比较乳腺癌(BC)复发患者不同术前参数的敏感性。材料与方法:我们回顾性分析了387例接受pT1-2 BC根治性手术的女性(中位年龄60岁,范围35-83岁)。将患者分为两组:第1组:325(84.0%)名患者在中位随访53个月(范围为25-149个月)期间无疾病迹象;第2组:62名(16.0%)已发展为患者局部或远处复发。结果:单因素分析显示两组在年龄,大小和肿瘤分级以及激素受体发生率方面存在显着(p <0.01)差异。 MIB1增殖率,血清标志物CEA和CA 15-3以及淋巴结状态对预测复发没有帮助。使用逻辑回归模型的多变量分析表明,只有年龄,肿瘤大小和激素受体发生率与复发的发生独立相关。结论:BC复发与大多数可用的预后因素之间没有明确的相关性。术前几个参数的多变量分析可能有助于正确选择高危人群。

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