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[神经元特异性烯醇化酶(NSE)在小细胞癌监测中的应用。使用马尔可夫模型对预后信息的评估]

[Neuron-specific enolase (NSE) in the surveillance of small cell cancers. An evaluation of the prognostic information using Markov's model].

作者信息

Pujol J L, Boher J M, Grenier J, Quantin X, Saffont L, Daurès J P

机构信息

CHU de Montpellier, Service des Maladies Respiratoires, Hôpital Arnaud-de-Villeneuve.

出版信息

Rev Mal Respir. 1998 Sep;15(4):519-25.

PMID:9805763
Abstract

RATIONALE

An elevated serum NSE concentration is generally a bad prognostic sign when a diagnosis of small cell lung cancer is made. However, the marker may vary from time to time crossing the discriminant threshold (12.5 ng/ml) in one direction or the other. These variations are presumed to reflect the progress of the disease but it has not been shown that the risk of death from the disease is changed by alterations in the serum concentration of NSE. To resolve this question we have used Markov's mathematical model (homogeneous over time and in three states).

METHOD

A prospective study has included 52 patients suffering from small cell cancer and treated with chemotherapy based on cisplatin. The NSE was measured following each treatment and three monthly in subsequent follow up. Markov's model was studying the intensities of transition and the risks of death between the two following transient states: living with an NSE concentration of < or = to 12.5 ng/ml, living with an NSE concentration of > 12.5 ng/ml, and an absorbing state: death.

RESULTS

When a level of > 12.5 ng/ml was noted the mean time of maintaining in this state was short (123 days). During this time when a transfer was effected in 44 per cent of cases there is turn towards the opposite state (living with a concentration < 12.5 ng/ml) showing the real reversibility between the two transient states. When a patient had an elevated concentration of serum NSE the risk of death was 2.23 times greater than in the opposite state (living with a low NSE; P < 0.01).

CONCLUSION

The observation of an elevated NSE concentration at any time in the follow up of patients suffering from small cell cancer was strongly associated with an elevated risk of death but a return from this state towards a state of less risk (living with a low NSE level) remains possible. This works suggests that the NSE levels may be useful in the follow up of small cell lung cancer.

摘要

理论依据

当诊断为小细胞肺癌时,血清NSE浓度升高通常是预后不良的标志。然而,该标志物可能会随时间变化,时而超过判别阈值(12.5 ng/ml),时而低于该阈值。这些变化被认为反映了疾病的进展,但尚未表明血清NSE浓度的改变会改变疾病的死亡风险。为了解决这个问题,我们使用了马尔可夫数学模型(在时间和三种状态上均为齐次)。

方法

一项前瞻性研究纳入了52例小细胞癌患者,这些患者接受了基于顺铂的化疗。每次治疗后测量NSE,并在后续随访中每三个月测量一次。马尔可夫模型研究了以下两个瞬时状态之间的转移强度和死亡风险:NSE浓度≤12.5 ng/ml时存活、NSE浓度>12.5 ng/ml时存活,以及一个吸收状态:死亡。

结果

当NSE水平>12.5 ng/ml时,维持在该状态的平均时间较短(123天)。在此期间,44%的病例发生转移时会转向相反状态(NSE浓度<12.5 ng/ml时存活),这表明两个瞬时状态之间存在真正的可逆性。当患者血清NSE浓度升高时,死亡风险比相反状态(NSE浓度低时存活)高2.23倍(P<0.01)。

结论

在小细胞癌患者随访过程中,任何时候观察到NSE浓度升高都与死亡风险升高密切相关,但从该状态恢复到风险较低状态(NSE水平低时存活)仍然是可能的。这项研究表明,NSE水平可能对小细胞肺癌的随访有用。

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