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Improving accuracy in nodal staging of oral cancer: Proposal of a new system.

Authors :
Subramaniam N
Heller G
Clark JR
Gupta R
Goldstein D
de Almeida JR
Hosni A
Balasubramanian D
Thankappan K
Iyer S
Batstone M
Iyer NG
Smee RI
Chandrasekhar NH
Pillai V
Shetty V
Rangappa V
Veness M
Low TH
Source :
Surgical oncology [Surg Oncol] 2024 Feb; Vol. 52, pp. 102033. Date of Electronic Publication: 2024 Jan 05.
Publication Year :
2024

Abstract

Background: Despite introduction of extranodal extension (ENE) into the AJCC 8th edition of oral cancer staging, previous criticisms persist, such as limited discrimination between sub-stages and doubtful prognostic value of contralateral nodal disease. The purpose of this study was to compare our novel nodal staging system, based on the number of positive nodes and ENE, to the AJCC staging system in surgically treated patients.<br />Methods: Retrospective analysis of 4710 patients with oral squamous cell carcinoma (OSCC) treated with surgery±adjuvant therapy in 8 institutions in Australia, North America and Asia. With overall survival (OS) and disease specific survival (DSS) as endpoint, the prognostic performance of AJCC 8th and 7th editions were compared using hazard consistency, hazard discrimination, likelihood difference and balance.<br />Results: Our new nodal staging system (PN) a progressive and linear increase in hazard ratio (HR) from pN0 to pN3, with good separation of Kaplan Meier curves. Using the predetermined criteria for evaluation of a staging system, our proposed staging model outperformed AJCC 8th and 7th editions in prediction of OS and DSS.<br />Conclusion: PN was the lymph node staging system that provided the most accurate prediction of OS and DSS for patients in our cohort of OSCC. Additionally, it can be easily adopted, addresses the shortcomings of the existing systems and should be considered for future editions of the TNM staging system.<br />Competing Interests: Declaration of competing interest There are no conflicts of interest for any of the authors.<br /> (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1879-3320
Volume :
52
Database :
MEDLINE
Journal :
Surgical oncology
Publication Type :
Academic Journal
Accession number :
38211447
Full Text :
https://doi.org/10.1016/j.suronc.2024.102033