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Young-onset breast cancer: a poor prognosis only exists in low-risk patients

机译:青年乳腺癌:预后不良仅存在于低危患者中

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The number of reported young breast cancer cases has increased dramatically recently. The impact of age on the outcomes of breast cancers remains controversial. Our study aimed to explore the factors that can stratify the impact of young age on the prognosis of early breast cancer patients. In total, 244,324 patients with early breast cancer in the Surveillance, Epidemiology, and End Results database were identified from 1990 to 2007. Survival curves were generated using the Kaplan-Meier method. The 5- and 10-year cancer-specific survival (CSS) rates were calculated using the Life-Table method. Multivariable analyses were used to identify prognosti c variables (without age) to construct the nomograms. The risk score developed from the nomogram was used to classify the cohort into three subgroups (low-, medium- and high-risk subgroup). Approximately 8.89% of women were diagnosed with breast cancer at a young age (≤ 40 years). Clinical nomogram had the potential ability to predict CSS accurately with a well C-index (0.785). Subgroup analysis indicated that the risk score as the sole factor can stratify the impact of young age on the prognosis of early breast cancer patients. Young breast cancer patients had a worse prognosis in the low-risk (HR=0.61; 95% CI: 0.57-0.65; P 0.001) or medium-risk subgroup (HR=0.89; 95% CI: 0.85-0.93; P 0.01) than in the high-risk subgroup ( P =0.431). In conclusion, the worse prognosis of young women only appeared in the low- and medium-risk subgroups rather than in the high-risk subgroup. The risk score yielded from the nomogram model can assist clinical decision making for young breast cancer patients.
机译:最近报告的年轻乳腺癌病例数急剧增加。年龄对乳腺癌结局的影响仍然存在争议。我们的研究旨在探讨可分层影响年轻年龄对早期乳腺癌患者预后的影响的因素。在1990年至2007年的“监测,流行病学和最终结果”数据库中,总共鉴定出244,324例早期乳腺癌患者。使用Kaplan-Meier方法生成生存曲线。使用生命表方法计算5年和10年癌症特异性生存率(CSS)。使用多变量分析来确定预后变量(无年龄)以构建列线图。从诺模图得出的风险评分用于将队列分为三个亚组(低,中和高风险亚组)。大约8.89%的妇女在年轻(≤40岁)时被诊断出患有乳腺癌。临床列线图具有以良好的C指数(0.785)准确预测CSS的潜在能力。亚组分析表明,风险评分是唯一的因素,可以将年轻人年龄对早期乳腺癌患者预后的影响分层。年轻乳腺癌患者的低危(HR = 0.61; 95%CI:0.57-0.65; P <0.001)或中危亚组(HR = 0.89; 95%CI:0.85-0.93; P < 0.01)高于高危亚组(P = 0.431)。总之,年轻妇女的预后较差仅出现在低风险和中等风险的亚组中,而没有出现在高风险的亚组中。从诺模图模型得出的风险评分可以帮助年轻乳腺癌患者进行临床决策。

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