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基于 SEER 数据库列线图分析的非转移性结直肠癌改良 TNM 分期系统。

A modified TNM staging system for non-metastatic colorectal cancer based on nomogram analysis of SEER database.

机构信息

Department of surgical oncology, and The Key Laboratory of Cancer Prevention and Intervention, Second Affiliated Hospital, China National Ministry of Education, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, Zhejiang Province, 310009, China.

Engineering Research Center of EMR and Intelligent Expert System, Ministry of Education, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310009, China.

出版信息

BMC Cancer. 2018 Jan 8;18(1):50. doi: 10.1186/s12885-017-3796-1.

Abstract

BACKGROUND

To revise the American Joint Committee on Cancer TNM staging system for colorectal cancer (CRC) based on a nomogram analysis of Surveillance, Epidemiology, and End Results (SEER) database, and to prove the rationality of enhancing T stage's weighting in our previously proposed T-plus staging system.

METHODS

Total 115,377 non-metastatic CRC patients from SEER were randomly grouped as training and testing set by ratio 1:1. The Nomo-staging system was established via three nomograms based on 1-year, 2-year and 3-year disease specific survival (DSS) Logistic regression analysis of the training set. The predictive value of Nomo-staging system for the testing set was evaluated by concordance index (c-index), likelihood ratio (L.R.) and Akaike information criteria (AIC) for 1-year, 2-year, 3-year overall survival (OS) and DSS. Kaplan-Meier survival curve was used to valuate discrimination and gradient monotonicity. And an external validation was performed on database from the Second Affiliated Hospital of Zhejiang University (SAHZU).

RESULTS

Patients with T1-2 N1 and T1N2a were classified into stage II while T4 N0 patients were classified into stage III in Nomo-staging system. Kaplan-Meier survival curves of OS and DSS in testing set showed Nomo-staging system performed better in discrimination and gradient monotonicity, and the external validation in SAHZU database also showed distinctly better discrimination. The Nomo-staging system showed higher value in L.R. and c-index, and lower value in AIC when predicting OS and DSS in testing set.

CONCLUSION

The Nomo-staging system showed better performance in prognosis prediction and the weight of lymph nodes status in prognosis prediction should be cautiously reconsidered.

摘要

背景

基于监测、流行病学和最终结果(SEER)数据库的列线图分析,修订结直肠癌(CRC)的美国联合癌症委员会 TNM 分期系统,并证明我们之前提出的 T 加分期系统中增强 T 分期权重的合理性。

方法

通过 SEER 中 115377 例非转移性 CRC 患者的随机分组,按 1:1 的比例分为训练集和测试集。通过对训练集的 1 年、2 年和 3 年疾病特异性生存(DSS)的 Logistic 回归分析,建立了三个列线图组成的 Nomo 分期系统。通过一致性指数(c-index)、似然比(L.R.)和赤池信息量准则(AIC)评估 Nomo 分期系统对测试集的预测价值,用于 1 年、2 年、3 年的总生存(OS)和 DSS。Kaplan-Meier 生存曲线用于评估判别能力和梯度单调性。并在浙江大学第二附属医院(SAHZU)的数据库上进行了外部验证。

结果

在 Nomo 分期系统中,T1-2N1 和 T1N2a 患者被分类为 II 期,而 T4N0 患者被分类为 III 期。OS 和 DSS 的 Kaplan-Meier 生存曲线在测试集显示出 Nomo 分期系统在判别和梯度单调性方面表现更好,在 SAHZU 数据库的外部验证也显示出明显更好的判别能力。在预测 OS 和 DSS 时,Nomo 分期系统在测试集中的 L.R.和 c-index 值更高,AIC 值更低。

结论

Nomo 分期系统在预后预测方面表现更好,预后预测中淋巴结状态的权重应谨慎重新考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4fa/5759792/99877bec6875/12885_2017_3796_Fig1_HTML.jpg

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