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Timing of breast cancer surgery in relation to menstrual cycle phase: no effect on 3-year prognosis: The ITS Study

机译:与月经周期阶段相关的乳腺癌手术时间:对3年预后无影响:ITS研究

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摘要

The effect of breast cancer surgery timing during the menstrual cycle on prognosis remains controversial. We conducted a multicentre prospective study to establish whether timing of interventions influences prognosis. We report 3-year overall and disease-free survival (OS/DFS) results for ‘primary analysis' patients (regular cycles, no oral contraceptives within previous 6 months). Data were collected regarding timing of interventions in relation to patients' last menstrual period (LMP) and first menstrual period after surgery (FMP). Hormone profiles were also measured. Cox's proportional hazards model incorporated LMP in continuous form. Exploratory analyses used menstrual cycle categorisations of Senie, Badwe and Hrushesky. Hormone profiles with LMP and FMP data were also used to define menstrual cycle phase. Four hundred and twelve ‘primary analysis' patients were recruited. Three-year OS from first surgery was 90.7, 95% confidence interval (CI) [87.9, 93.6%]. Menstrual cycle according to LMP was not statistically significant (OS: hazard ratio (HR)=1.02, 95%CI [0.995,1.042], P=0.14; DFS: HR=1.00, 95%CI [0.980,1.022], P=0.92). Timing of surgery in relation to menstrual cycle phase had no significant impact on 3-year survival. This may be due to 97% of patients receiving some form of adjuvant therapy. Survival curves to 10 years indicate results may remain true for longer-term survival.
机译:月经周期中乳腺癌手术时机对预后的影响仍存在争议。我们进行了一项多中心前瞻性研究,以确定干预措施的时机是否会影响预后。我们报告了“主要分析”患者3年总体和无病生存期(OS / DFS)的结果(常规周期,在过去6个月内没有口服避孕药)。收集有关患者上次月经期(LMP)和术后第一次月经期(FMP)的干预时间的数据。还测量了激素谱。 Cox的比例风险模型以连续形式并入了LMP。探索性分析采用了Senie,Badwe和Hrushesky的月经周期分类。具有LMP和FMP数据的激素概况也用于定义月经周期阶段。招募了412名“主要分析”患者。首次手术的三年OS为90.7,置信区间(CI)为95%[87.9,93.6%]。根据LMP计算的月经周期无统计学意义(OS:危险比(HR)= 1.02,95%CI [0.995,1.042],P = 0.14; DFS:HR = 1.00,95%CI [0.980,1.022],P = 0.92)。与月经周期阶段有关的手术时间对3年生存期无明显影响。这可能是由于97%的患者正在接受某种形式的辅助治疗。到10年的生存曲线表明,长期生存的结果可能仍然正确。

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