Recommendation for incorporation of a different lymph node scoring system in future AJCC N category for oral cancer

Scientific Reports
Ching-Chih LeeChing-Chieh Yang

Abstract

To compare the prognostic value of 3 different lymph node scoring systems " log odds of positive nodes (LODDS), lymph node ratio (rN), and lymph node yield " in an effort to improve the staging of oral cancer. We identified 3958 oral cancer patients from Surveillance, Epidemiology, and End Results database from 2007 to 2013. In univariate analysis, LODDS, pN, rN, and lymph node yield were prognostic factors for 5-year disease-specific survival (DSS) and overall survival (OS). Multivariate analysis indicated that patients with LODDS 4 had worst 5-year DSS and OS. Stage migration occurred in pN1 and pN2 patients with LODDS 4. In pN1 patients, those with LODDS 4 had the worst 5-year DSS (41.2%) and OS (31.6%) than patients with pN1 and LODDS 2-3. In pN2 patients, those with LODDS4 had the worst 5-year DSS (34.5%) and OS (27.4%) than patients with pN2 and LODDS 2-3. The proposed staging system, which incorporates LODDS with AJCC pN, had better discriminability and prediction accuracy for predicting survival. We also noted that patients with LODDS 4 given adjuvant radiotherapy had better 5-year DSS and OS. The LODDS should be considered as a future candidate measurement for N category in oral cancer.

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Citations

Jul 10, 2020·Updates in Surgery·Graziosi LuiginaDonini Annibale
Sep 20, 2019·OTO Open : the Official Open Access Journal of the American Academy of Otolaryngology--Head and Neck Surgery Foundation·Xinrui ZhangXuekui Liu
Jul 21, 2021·International Journal of Oral and Maxillofacial Surgery·X C LiuJ Jia
Nov 23, 2021·European Archives of Oto-rhino-laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·Mussab KoukaOrlando Guntinas-Lichius

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Methods Mentioned

BETA
dissection

Software Mentioned

SEER
* Stat
SPSS
LODDS

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