P-ISSN 2587-2400 | E-ISSN 2587-196X
EJMO. 2020; 4(1): 49-53 | DOI: 10.14744/ejmo.2020.52258

Predictive Values of Systemic Inflammation Index in Prognosis of Patients with Laryngeal Cancer

Atakan Demir1, Ozkan Alan2, Mehmet Surmeli3
1Department of Medical Oncology, Acibadem University, Faculty of Medicine Acibadem Maslak Hospital, Istanbul,Turkey, 2Department of Medical Oncology, Tekirdag State Hospital, Tekirdag, Turkey, 3Department of Otolaryngology, Umraniye Training and Research Hospital, Istanbul, Turkey,

Objectives: Laryngeal cancer is the most common cancer in head and neck cancer group, of which it constitutes 75%. Squamous cell carcinoma (SCC) is the most common histological subtype. Systemic or local inflammation is a well known promotor for cancer development and progression. Systemic immune inflammation index (S II) has been reported as an independent prognostic parameter in various cancers. We aimed to evaluate the capability of SII in predicting the risk of recurrence in patients with operable laryngeal cancer. Methods: We retrospectively collected the data of 100 laryngeal SCC patients who underwent surgery between 2016 and 2018. Neutrophil, lymphocyte, and platelet (Plt) counts were recorded. The SII was calculated as follows: SII= Neutrophile counts *platelet counts/lymphocyte counts. Results: SI index was found to be an independent prognostic factor as affecting disease recurrence (p<0.05). We found that patients with SII >891 had a risk of disease recurrence of approximately three times more than patients with SII = <891.78 (HR: 3.06 (95% CI: 3.42-132.64). Conclusion: This was the first study to demonstrate that preoperative SI index is a simple and powerful independent predictive index that predicts the risk of disease recurrence in patients with laryngeal cancer. Keywords: Disease free survival, laryngeal cancer, prognosis, systemic inflammation index

Cite This Article

Demir A, Alan O, Surmeli M. Predictive Values of Systemic Inflammation Index in Prognosis of Patients with Laryngeal Cancer. EJMO. 2020; 4(1): 49-53

Corresponding Author: Atakan Demir

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