Global Immune-Nutrition-Inflammation Index As A Novel Comprehensive Biomarker In Predicting The Radiation-Induced Trismus Rates In Locally Advanced Nasopharyngeal Carcinoma Patients
| dc.contributor.author | Somay, Efsun | |
| dc.contributor.author | Topkan, Erkan | |
| dc.contributor.author | Bascil, Sibel | |
| dc.contributor.author | Durankus, Niluefer Kilic | |
| dc.contributor.author | Senyurek, Sukran | |
| dc.contributor.author | Ozturk, Duriye | |
| dc.contributor.author | Pehlivan, Berrin | |
| dc.contributor.author | Selek, Ugur | |
| dc.date.accessioned | 2026-04-21T06:44:53Z | |
| dc.date.issued | 2024-07-20 | |
| dc.description.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) divided by (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. | |
| dc.identifier.citation | BIOMOLECULES AND BIOMEDICINE, cilt 24, 2024, sayı 6, ss. 1703-1710 | en |
| dc.identifier.issn | 2831-0896 | |
| dc.identifier.issue | 6 | en |
| dc.identifier.uri | https://hdl.handle.net/11727/14994 | |
| dc.identifier.volume | 24 | en |
| dc.identifier.wos | 001267340000001 | en |
| dc.language.iso | en_US | |
| dc.publisher | Başkent Üniversitesi Diş Hekimliği Fakültesi | |
| dc.source | BIOMOLECULES AND BIOMEDICINE | en |
| dc.subject | nasopharyngeal carcinoma | |
| dc.subject | concurrent chemoradiotherapy (CCRT) | |
| dc.subject | Global Immune-Nutrition-Inflammation Index (GINI) | |
| dc.subject | Radiation-induced trismus (RIT) | |
| dc.title | Global Immune-Nutrition-Inflammation Index As A Novel Comprehensive Biomarker In Predicting The Radiation-Induced Trismus Rates In Locally Advanced Nasopharyngeal Carcinoma Patients | |
| dc.type | Article |