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A Modified Tumor-Node-Metastasis Classification for Primary Operable Colorectal Cancer

Authors :
Xian-Tao Zeng
Kazuhiro Nishiyama
Chun-Dong Zhang
Rui Zhang
Xinxiang Li
Zu-Bing Mei
Tomotaka Ugai
Naohiko Akimoto
Jeffrey A. Meyerhardt
Qiao Huang
Hongmei Nan
Koichiro Haruki
Masanobu Abe
Shuji Ogino
Jun-Peng Pei
Source :
JNCI Cancer Spectrum
Publication Year :
2020
Publisher :
Oxford University Press, 2020.

Abstract

Background The American Joint Committee on Cancer (AJCC) 8th tumor-node-metastasis (TNM) classification for colorectal cancer (CRC) has limited ability to predict prognosis. Methods We included 45 379 eligible stage I-III CRC patients from the Surveillance, Epidemiology, and End Results Program. Patients were randomly assigned individually to a training (n = 31 772) or an internal validation cohort (n = 13 607). External validation was performed in 10 902 additional patients. Patients were divided according to T and N stage permutations. Survival analyses were conducted by a Cox proportional hazard model and Kaplan-Meier analysis, with T1N0 as the reference. Area under receiver operating characteristic curve and Akaike information criteria were applied for prognostic discrimination and model fitting, respectively. Clinical benefits were further assessed by decision curve analyses. Results We created a modified TNM (mTNM) classification: stages I (T1-2N0-1a); IIA (T1N1b, T2N1b, T3N0); IIB (T1-2N2a-2b, T3N1a-1b, T4aN0); IIC (T3N2a, T4aN1a-2a, T4bN0); IIIA (T3N2b, T4bN1a); IIIB (T4aN2b, T4bN1b); and IIIC (T4bN2a-2b). In the internal validation cohort, compared with the AJCC 8th TNM classification, the mTNM classification showed superior prognostic discrimination (area under receiver operating characteristic curve = 0.675 vs 0.667, respectively; 2-sided P Conclusions The mTNM classification provides better prognostic discrimination than AJCC 8th TNM classification, with good applicability in various populations and settings, to help better stratify stage I-III CRC patients into prognostic groups.

Details

Language :
English
ISSN :
25155091
Volume :
5
Issue :
1
Database :
OpenAIRE
Journal :
JNCI Cancer Spectrum
Accession number :
edsair.doi.dedup.....45e5f6958552a726dde1f9913391e87c