Publication: 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.coauthor | Somay, Efsun | |
dc.contributor.coauthor | Topkan, Erkan | |
dc.contributor.coauthor | Başçıl, Sibel | |
dc.contributor.coauthor | Özturk, Düriye | |
dc.contributor.coauthor | Pehlivan, Berrin | |
dc.contributor.kuauthor | Durankuş, Nilüfer Kılıç | |
dc.contributor.kuauthor | Şenyürek, Şükran | |
dc.contributor.kuauthor | Selek, Uğur | |
dc.contributor.schoolcollegeinstitute | School of Medicine | |
dc.date.accessioned | 2024-12-29T09:36:38Z | |
dc.date.issued | 2024 | |
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) - (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.description.indexedby | WoS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.issue | 6 | |
dc.description.openaccess | gold | |
dc.description.publisherscope | International | |
dc.description.sponsors | Funding: Authors received no specific funding for this work. Data availability: The data supporting this study's findings is available from the corresponding author, Efsun Somay, upon a reasonable special request. | |
dc.description.volume | 24 | |
dc.identifier.doi | 10.17305/bb.2024.10616 | |
dc.identifier.eissn | 2831-090X | |
dc.identifier.issn | 2831-0896 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-85206707501 | |
dc.identifier.uri | https://doi.org/10.17305/bb.2024.10616 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/22098 | |
dc.identifier.wos | 1267340000001 | |
dc.keywords | Radiation-induced trismus (RIT) | |
dc.keywords | Global immune-nutrition-inflammation index (GINI) | |
dc.keywords | Concurrent chemoradiotherapy (CCRT) | |
dc.keywords | Nasopharyngeal carcinoma | |
dc.language | en | |
dc.publisher | Association of Basic Medical Sciences of FBIH | |
dc.source | Biomolecules and Biomedicine | |
dc.subject | Medicine, research and experimental | |
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 | Journal article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Durankuş, Nilüfer Kılıç | |
local.contributor.kuauthor | Şenyürek, Şükran | |
local.contributor.kuauthor | Selek, Uğur |
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