Publication: Global Immune-Nutrition-Inflammation Index as a novel comprehensive biomarker in predicting the radiation-induced trismus rates in locally advanced nasopharyngeal carcinoma patients
Program
KU Authors
Co-Authors
Somay, Efsun
Topkan, Erkan
Başçıl, Sibel
Özturk, Düriye
Pehlivan, Berrin
Advisor
Publication Date
2024
Language
en
Type
Journal article
Journal Title
Journal ISSN
Volume Title
Abstract
Nasopharyngeal carcinoma (NPC) is a prevalent cancer in certain regions, often treated with concurrent chemoradiotherapy (CCRT), which can lead to complications such as radiation-induced trismus (RIT). In this study, we aimed to evaluate whether the novel pretreatment Global Immune-Nutrition-Inflammation Index (GINI) can predict RIT in locally advanced nasopharyngeal carcinoma (LA-NPC) patients undergoing CCRT. Data of LA-NPC patients presenting without RIT were reviewed retrospectively. Any post-CCRT maximum mouth openings (MMO) <= 35 mm were considered RIT. The GINI index was calculated using the formula: GINI = (CRP x Monocytes x Platelets x Neutrophils) - (Albumin x Lymphocytes). We used receiver operating characteristic (ROC) curve analysis to examine the potential correlation between pretreatment GINI measures and post-CCRT RIT status. Logistic regression analysis examined the independence of the association between confounding factors and RIT rates. The study comprised 230 participants, and 52 (22.6%) received an RIT diagnosis. The optimal pre-CCRT GINI cutoff that dichotomizes RIT rates was determined to be 1424 (area under the curve [AUC]: 76%; sensitivity: 75.0%; specificity: 71.7%; J-index: 0.463). RIT incidence was significantly higher in the GINI >= 1424 group than in its GINI < 1424 counterpart (43.3% vs 9.3%; Hazard ratio (HR): 4.76; P < 0.001). Multivariate logistic regression analysis revealed that a pre-CCRT GINI >= 1424 was an independent predictor of increased RIT rates after definitive CCRT in this patient group (P < 0.001). In conclusion, the present results revealed that elevated pre-CCRT GINI measures (>= 1424) can efficiently and independently predict elevated RIT rates in LA-NPC patients after CCRT.
Description
Source:
Biomolecules and Biomedicine
Publisher:
Association of Basic Medical Sciences of FBIH
Keywords:
Subject
Medicine, research and experimental