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三重阴性乳腺癌生存预测:使用SEER数据库和外部验证队列的基于人口的研究

Yu Qiu¹, Yan Chen¹, Haoyang Shen¹

¹The Affiliated Lihuili Hospital, Ningbo University, Ningbo, China.

Frontiers in oncology

|June 26, 2024

概括

这项研究开发了一种名谱模型,用于预测三阴性乳腺癌 (TNBC) 患者的生存率. 该模型准确识别高风险TNBC患者,有助于个性化治疗策略.

科学领域:

在瘤学瘤学.
医学统计医学统计

背景情况:

三阴性乳腺癌 (TNBC) 呈现出侵略性特征和有限的治疗选择.
与其他乳腺癌亚型相比,TNBC患者面临更高的转移风险和更差的预后.

研究的目的:

分析TNBC患者的临床和病理特征.
确定影响TNBC患者结果的风险因素.
开发一个预测模型,以改善TNBC治疗和预后.

主要方法:

利用了SEER数据库 (23,394个TNBC初级病例,2010-2015年) 和外部验证队列.
采用单变量,多变量和LASSO回归来确定独立的预后因素.
开发了3年和5年的整体存活率 (OS) 和乳腺癌特异性存活率 (BCSS) 的诺莫格拉姆模型.

主要成果:

确定了关键的预后变量,包括年龄,婚姻状况,年级,T/N/M阶段,手术,放射和化疗.
在培训,内部和外部验证集中实现了高预测准确度,C指数从0.747到0.811不等.
通过校准曲线,ROC分析和决策曲线分析 (DCA) 证明模型有效性.

结论:

开发的诺米图表作为TNBC中风险分层和生存预测的精确工具.
这些模型有助于临床医生识别预后标志物并定制治疗计划.
诺莫格拉姆分类增强了TNBC患者的预后差异化和准确的风险分组.

关键词:

在 SEER 数据库中,我们可以看到癌症特异性生存率癌症特异性生存率这个名字是名ogramogram.总体存活率总体存活率三重阴性乳腺癌是什么

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