Ratio-based staging systems are better than the 7th and 8th editions of the TNM in stratifying the prognosis of gastric cancer patients: A multicenter retrospective study.


Journal

Journal of surgical oncology
ISSN: 1096-9098
Titre abrégé: J Surg Oncol
Pays: United States
ID NLM: 0222643

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 12 10 2018
revised: 18 01 2019
accepted: 30 01 2019
pubmed: 12 2 2019
medline: 15 5 2019
entrez: 12 2 2019
Statut: ppublish

Résumé

The current and the previous editions of the tumor-node-metastasis (TNM) system for gastric cancer (GC; TNM8 and TNM7) have a high risk of stage-migration bias when the node count after gastrectomy is suboptimal. Hence, they are possibly not the optimal staging systems for GC patients. This study aims to compare the TNM with two systems less affected by the stage-migration bias, namely, the lymph nodes ratio (LNR) and the log odds of positive lymph nodes (LODDS), to assess which one is the best in stratifying the prognosis of GC patients. The sample study included 1221 GC patients. Two 7-cluster staging systems based on the combination of pT categories and LNR and LODDS categories (TLNR and TLODDS) were compared with the two last editions of TNM, using the Akaike information criteria, the Bayesian information criteria, and the receiver operating characteristic (ROC) curve graphs. Further validation on an independent sample of 251 patients was carried out. The univariable and multivariable analyses and the ROC curves detected an advantage of the TLNR and TLODDS systems over the TNM. The TLNR and TLODDS showed the best accuracy both in the subgroup of patients with ≥16 nodes examined. The results were confirmed in the validation analysis. TLNR and TLODDS staging systems should be considered a valid implementation of the TNM for the prognostic stratification of GC patients. If these results are confirmed in further studies, the future implementation of the TNM should consider the introduction of the LNR or the LODDS along with the number of metastatic nodes.

Sections du résumé

BACKGROUND BACKGROUND
The current and the previous editions of the tumor-node-metastasis (TNM) system for gastric cancer (GC; TNM8 and TNM7) have a high risk of stage-migration bias when the node count after gastrectomy is suboptimal. Hence, they are possibly not the optimal staging systems for GC patients. This study aims to compare the TNM with two systems less affected by the stage-migration bias, namely, the lymph nodes ratio (LNR) and the log odds of positive lymph nodes (LODDS), to assess which one is the best in stratifying the prognosis of GC patients.
METHODS METHODS
The sample study included 1221 GC patients. Two 7-cluster staging systems based on the combination of pT categories and LNR and LODDS categories (TLNR and TLODDS) were compared with the two last editions of TNM, using the Akaike information criteria, the Bayesian information criteria, and the receiver operating characteristic (ROC) curve graphs. Further validation on an independent sample of 251 patients was carried out.
RESULTS RESULTS
The univariable and multivariable analyses and the ROC curves detected an advantage of the TLNR and TLODDS systems over the TNM. The TLNR and TLODDS showed the best accuracy both in the subgroup of patients with ≥16 nodes examined. The results were confirmed in the validation analysis.
CONCLUSIONS CONCLUSIONS
TLNR and TLODDS staging systems should be considered a valid implementation of the TNM for the prognostic stratification of GC patients. If these results are confirmed in further studies, the future implementation of the TNM should consider the introduction of the LNR or the LODDS along with the number of metastatic nodes.

Identifiants

pubmed: 30742308
doi: 10.1002/jso.25411
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

948-957

Informations de copyright

© 2019 Wiley Periodicals, Inc.

Auteurs

Annamaria Agnes (A)

Dipartimento Scienze Gastroenterologiche, Endocrino-Metaboliche e Nefro-Urologiche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Department of Surgery, Università Cattolica del Sacro Cuore, Rome, Italy.

Alberto Biondi (A)

Dipartimento Scienze Gastroenterologiche, Endocrino-Metaboliche e Nefro-Urologiche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Department of Surgery, Università Cattolica del Sacro Cuore, Rome, Italy.

Ferdinando M Cananzi (FM)

Department of Surgery, Surgical Oncology Unit, Humanitas Clinical and Research Center, Milan, Italy.

Stefano Rausei (S)

Department of Surgery, ASST Settelaghi, Varese, Italy.

Rossella Reddavid (R)

Department of Oncology, Surgical Oncology, and Digestive Surgery, San Luigi University Hospital (S.L.U.H.), University of Turin, Turin, Italy.

Vito Laterza (V)

Department of Surgery, Università Cattolica del Sacro Cuore, Rome, Italy.

Federica Galli (F)

Department of Surgery, ASST Settelaghi, Varese, Italy.

Vittorio Quagliuolo (V)

Department of Surgery, Surgical Oncology Unit, Humanitas Clinical and Research Center, Milan, Italy.

Maurizio Degiuli (M)

Department of Oncology, Surgical Oncology, and Digestive Surgery, San Luigi University Hospital (S.L.U.H.), University of Turin, Turin, Italy.

Domenico D'Ugo (D)

Dipartimento Scienze Gastroenterologiche, Endocrino-Metaboliche e Nefro-Urologiche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Department of Surgery, Università Cattolica del Sacro Cuore, Rome, Italy.

Roberto Persiani (R)

Dipartimento Scienze Gastroenterologiche, Endocrino-Metaboliche e Nefro-Urologiche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Department of Surgery, Università Cattolica del Sacro Cuore, Rome, Italy.

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