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非小细胞肺癌分期和年龄特定组生存预后模型的验证

Validation of survival prognostic models for non-small-cell lung cancer in stage- and age-specific groups.

作者信息

Wang Xiaofei, Gu Lin, Zhang Ying, Sargent Daniel J, Richards William, Ganti Apar Kishor, Crawford Jeffery, Cohen Harvey Jay, Stinchcombe Thomas, Vokes Everett, Pang Herbert

机构信息

Department of Biostatistics & Bioinformatics and Alliance Statistics and Data Center, Duke University, Durham, NC, United States.

Department of Biostatistics & Bioinformatics and Alliance Statistics and Data Center, Duke University, Durham, NC, United States.

出版信息

Lung Cancer. 2015 Nov;90(2):281-7. doi: 10.1016/j.lungcan.2015.08.007. Epub 2015 Aug 18.

Abstract

PURPOSE

Prognostic models have been proposed to predict survival for non-small-cell lung cancer (NSCLC). It is important to evaluate whether these models perform better than performance status (PS) alone in stage- and age-specific subgroups.

PATIENTS AND METHODS

The validation cohort included 2060 stage I and 1611 stage IV NSCLC patients from 23CALGB studies. For stage I, Blanchon (B), Chansky (C) and Gail (G) models were evaluated along with the PS only model. For stage IV, Blanchon (B) and Mandrekar (M) models were compared with the PS only model. The c-index was used to assess the concordance between survival and risk scores. The c-index difference (c-difference) and the integrated discrimination improvement (IDI) were used to determine the improvement of these models over the PS only model.

RESULTS

For stage I, B and PS have better survival separation. The c-index for B, PS, C and G are 0.61, 0.58, 0.57 and 0.52, respectively, and B performs significantly better than PS with c-difference=0.034. For stage IV, B, M and PS have c-index 0.61, 0.64 and 0.60, respectively; B and M perform significantly better than PS with c-difference=0.015 and 0.033, respectively.

CONCLUSION

Although some prognostic models have better concordance with survival than the PS only model, the absolute improvement is small. More accurate prognostic models should be developed; the inclusion of tumor genetic variants may improve prognostic models.

摘要

目的

已提出预后模型来预测非小细胞肺癌(NSCLC)的生存率。评估这些模型在特定分期和年龄亚组中是否比单纯的体能状态(PS)表现更好很重要。

患者与方法

验证队列包括来自23项癌症和白血病B组(CALGB)研究的2060例I期和1611例IV期NSCLC患者。对于I期,评估了布兰雄(B)、钱斯基(C)和盖尔(G)模型以及仅基于PS的模型。对于IV期,将布兰雄(B)和曼德雷卡尔(M)模型与仅基于PS的模型进行比较。c指数用于评估生存与风险评分之间的一致性。c指数差异(c-差异)和综合判别改善(IDI)用于确定这些模型相对于仅基于PS的模型的改善情况。

结果

对于I期,B模型和PS在生存区分方面表现更好。B、PS、C和G模型的c指数分别为0.61、0.58、0.57和0.52,且B模型的表现明显优于PS,c-差异=0.034。对于IV期,B、M和PS模型的c指数分别为0.61、0.64和0.60;B和M模型的表现明显优于PS,c-差异分别为0.015和0.033。

结论

尽管一些预后模型与生存的一致性比仅基于PS的模型更好,但绝对改善较小。应开发更准确的预后模型;纳入肿瘤基因变异可能会改善预后模型。

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本文引用的文献

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Non-small cell lung cancer, version 2.2013.非小细胞肺癌临床实践指南(2013 年版)
J Natl Compr Canc Netw. 2013 Jun 1;11(6):645-53; quiz 653. doi: 10.6004/jnccn.2013.0084.

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