The Combination of Inflammatory Biomarkers as Prognostic Indicator in Salivary Gland Malignancy

Author:

Abbate VincenzoORCID,Barone Simona,Troise StefaniaORCID,Laface Claudia,Bonavolontà Paola,Pacella DanielaORCID,Salzano GiovanniORCID,Iaconetta Giorgio,Califano Luigi,Dell’Aversana Orabona GiovanniORCID

Abstract

Background: The aim of this study was to investigate how the systemic inflammation response index (SIRI), systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR), taken individually and combined, are associated with overall survival (OS) in patients surgically treated for malignant salivary gland tumors (MSGTs). Methods: A retrospective analysis of 74 cases following surgery at our department between January 2011 and June 2018 was performed. The Receiver Operating Characteristic (ROC) curve was used to calculate the optimal cutoff values for SII, SIRI, PLR, and NLR. Survival curves of different groups at 1–3–5 years were estimated using the Kaplan–Meier method. Results: The optimal thresholds with the highest sensitivity and specificity were 3.95 for NLR, 187.6 for PLR, 917.585 for SII, and 2.045 for SIRI. The ROC curves revealed that the best combination with AUC = 0.884 was SII + SIRI. The estimated 5-year OS probability in patients with SII+ SIRI scores of 0, 1, and 2 was 96%, 87.5% and 12.5%, respectively (p < 0.001). Conclusion: SII+ SIRI can independently predict the OS of patients after MSGT surgery. The prognostic score system based on SII+ SIRI may be good clinical practice as a reference for clinical decision-making.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference28 articles.

1. Outcomes and prognostic factors in modern era management of major salivary gland cancer;Jegadeesh;Oral Oncol.,2015

2. Examined and positive lymph nodes counts and lymph nodes ratio are associated with survival in major salivary gland cancer;Elhusseiny;Head Neck,2019

3. Malignant salivary gland tumors: A short review;Hsieh;Oral Maxillofac. Res. Dent Oral Maxillofac Res.,2021

4. El-Naggar, A.K., Chan, J.K.C., and Grandis JRTakata, T.S.P. (2017). WHO Classification of Head and Neck Tumours, IARC Publication. [4th ed.].

5. Malignant Salivary Gland Tumors;Young;Int. J. Radiat. Oncol. Biol. Phys.,1986

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