4.6 Article

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

Journal

BMC CANCER
Volume 18, Issue -, Pages -

Publisher

BIOMED CENTRAL LTD
DOI: 10.1186/s12885-017-3796-1

Keywords

Colorectal cancer; TNM stage; Nomogram; Prognosis prediction

Categories

Funding

  1. National Natural Science Foundation of China [81672916, 81301890]
  2. Fund of Public Welfare in Health Industry of China [201402015]
  3. Key projects in the National Science and Technology Pillar Program [2014BAI09B07]
  4. Traditional Chinese Medicine of Zhejiang Province [2012ZQ017, 2017RC019]

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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.

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