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Merkel 细胞癌的条件生存估计揭示了预后的动态性质。

Conditional survival estimates for merkel cell carcinoma reveal the dynamic nature of prognostication.

机构信息

Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

出版信息

J Surg Oncol. 2022 Aug;126(2):348-355. doi: 10.1002/jso.26861. Epub 2022 Mar 22.

DOI:10.1002/jso.26861
PMID:35315930
Abstract

BACKGROUND AND OBJECTIVES

Conditional survival (CS) analysis has emerged as a dynamic prognostication methodology. The goal of this study was to determine disease-specific CS rates in Merkel cell carcinoma (MCC).

METHODS

This retrospective study included patients with MCC from the Surveillance Epidemiology and End Results (SEER) registry (1988-2016). Stage-specific 5-year MCC-specific CS rates for study and survivor cohorts were estimated, and the significance of clinicopathologic factors to predict 1-year MCC-specific death was evaluated using multivariate logistic regression.

RESULTS

Within stage, 5-year CS survival rates improved with increasing survivorship. Pathologic Stage I patients had the highest 5-year CS rate at diagnosis (89.1%) but the smallest increase over time (96% among 5-year survivors). Stage IV patients experienced the greatest change in 5-year CS rates from 25.4% (at diagnosis) to 88% (5-year survivors). At diagnosis stage, age, sex, and primary site were all significantly associated with 1-year MCC-related death in the multivariate analysis. In contrast, among 5-year survivors only sex and age at diagnosis were significant predictors.

CONCLUSIONS

MCC CS rates improved across all disease stages over time. Additionally, the relationships of prognostic factors with 1-year MCC-death changed with increasing survivorship. This perspective can provide a foundation for informed decision-making.

摘要

背景与目的

条件生存(CS)分析已成为一种动态预后方法。本研究的目的是确定默克尔细胞癌(MCC)的疾病特异性 CS 率。

方法

本回顾性研究纳入了来自监测、流行病学和最终结果(SEER)登记处(1988-2016 年)的 MCC 患者。估计了研究队列和幸存者队列中各期别 5 年 MCC 特异性 CS 率,并使用多变量逻辑回归评估了临床病理因素对预测 1 年 MCC 特异性死亡的意义。

结果

在各期别内,随着生存时间的延长,5 年 CS 生存率提高。病理 I 期患者在诊断时具有最高的 5 年 CS 率(89.1%),但随时间推移的增加最小(5 年幸存者中为 96%)。IV 期患者的 5 年 CS 率变化最大,从诊断时的 25.4%(诊断时)到 5 年幸存者的 88%。在诊断阶段,年龄、性别和原发部位在多变量分析中均与 1 年 MCC 相关死亡显著相关。相比之下,在 5 年幸存者中,只有性别和诊断时的年龄是显著的预测因素。

结论

随着时间的推移,MCC 的 CS 率在所有疾病阶段均有所提高。此外,预后因素与 1 年 MCC 死亡的关系随着生存时间的延长而发生变化。这种观点可以为知情决策提供基础。

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