The Prediction Value of the Systemic Inflammation Score for Oral Cavity Squamous Cell Carcinoma

Objectives This study aimed to investigate the potential prognostic role of the oral cancer systemic inflammation score (SIS) based on serum albumin levels and the lymphocyte-to-monocyte ratio in patients with oral squamous cell carcinoma (OSCC) after treatment. Study Design A retrospective cohort s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Otolaryngology-head and neck surgery 2018-06, Vol.158 (6), p.1042-1050
Hauptverfasser: Eltohami, Yousif I., Kao, Huang-Kai, Lao, William Wei-Kai, Huang, Yenlin, Abdelrahman, Mohamed, Liao, Chun-Ta, Yen, Tzu-Chen, Chang, Kai-Ping
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Objectives This study aimed to investigate the potential prognostic role of the oral cancer systemic inflammation score (SIS) based on serum albumin levels and the lymphocyte-to-monocyte ratio in patients with oral squamous cell carcinoma (OSCC) after treatment. Study Design A retrospective cohort study. Setting Tertiary care center. Subjects and Methods The study involved 613 patients who were treated for OSCC between September 2005 and December 2014. The association of the oral cancer SIS with various clinicopathological features was investigated. A nomogram based on different clinicopathological features and SIS was established to predict prognosis. Results Higher SIS was significantly associated with older age (P = .0013), advanced tumor status (P < .0001), tumor depth (P < .0001), advanced overall pathologic stage (P < .0001), and extranodal extension (P = .0045), as well as the presence of perineural invasion (P = .0341). Higher SIS, older age, overall stage, and extranodal extension were demonstrated to be independent prognostic indicators for shorter overall survival (P < .0001). A nomogram comprising SIS, TNM stage, and the degree of cell differentiation, as well as perineural invasion and extranodal extension, was developed to predict the prognosis of these patients. The c-index of the nomogram model based on TNM staging only was 0.688 and could be increased to 0.752 if SIS and several other clinicopathological parameters were incorporated. Conclusions Higher SIS is associated with many poor prognosticators, and the nomogram that was established and based on the incorporation of SIS might strengthen the prediction of prognosis in patients with OSCC.
ISSN:0194-5998
1097-6817
DOI:10.1177/0194599817751678