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Role of Metastasis in Hypertabastic Survival Analysis of Breast Cancer: Interaction with Clinical and Gene Expression Variables

机译:转移在乳腺癌高危生存分析中的作用:与临床和基因表达变量的相互作用。

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This paper analyzes the survival of breast cancer patients, exploring the role of a metastasis variable in combination with clinical and gene expression variables. We use the hypertabastic model in a detailed analysis of 295 breast cancer patients from the Netherlands Cancer Institute given in.1 In comparison to Cox regression the increase in accuracy is complemented by the ability to analyze the time course of the disease progression using the explicitly described hazard and survival curves. We also demonstrate the ability to compute deciles for survival and probability of survival to a given time. Our primary concern in this article is the introduction of a variable representing the existence of metastasis and the effects on the other clinical and gene expression variables. In addition to making a quantitative assessment of the impact of metastasis on the prospects for survival, we are able to look at its interactions with the other prognostic variables. The estrogen receptor status increase in importance, while the significance of the gene expression variables used in the combined model diminishes. When considering only the subgroup of patients who experienced metastasis, the covariates in the model are only the clinical variables for estrogen receptor status and tumor grade.
机译:本文分析了乳腺癌患者的生存情况,探讨了转移变量与临床和基因表达变量结合的作用。我们使用超重模型对荷兰癌症研究所的295名乳腺癌患者进行了详细分析。1与Cox回归相比,准确度的提高得到了使用明确描述的分析疾病进展时间过程的能力的补充危害和生存曲线。我们还证明了计算给定时间生存率和生存概率的十分位数的能力。本文主要关注的是引入一个变量,该变量代表转移的存在以及对其他临床和基因表达变量的影响。除了对转移对生存前景的影响进行定量评估外,我们还可以查看其与其他预后变量的相互作用。雌激素受体状态的重要性增加,而在组合模型中使用的基因表达变量的重要性降低。仅考虑发生转移的患者亚组时,模型中的协变量仅是雌激素受体状态和肿瘤等级的临床变量。

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