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Inflammation plays an important role in the process of cancer development. The number of studies evaluating the ability of inflammatory biomarkers to predict survival has increased in recent years. This study aimed to comprehensively evaluate the predictive role of inflammatory biomarkers in patients with larynx cancer undergoing definitive radiotherapy. A total of 101 patients who underwent definitive radiotherapy for larynx cancer at our center were retrospectively examined. Blood samples were taken from the patients before radiotherapy to obtain biomarkers such as C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), pan-immune inflammatory value (PIV), hemo-eosinophil inflammation index (HEI), albumin, and Lactate dehydrogenase (LDH). The study examined the predictive value of parameters for progression-free survival (PFS), local recurrence-free survival (LRFS), and overall survival (OS) using both univariate and multivariate Cox regression analysis. In the univariate analysis, the biomarkers that predicted PFS were SII, PIV, CRP, and Eastern Cooperative Oncology Group Performance Status (ECOG PS). According to the multivariate analysis, only CRP was found to be a significant predictor of PFS. In the univariate analysis, the following biomarkers were found to predict OS: NLR, PLR, MLR, SII, PIV, CRP, HEI, stage, and ECOG PS. In the multivariate analysis, NLR and ECOG PS were found to be predictors of OS. A significant difference was found in MLR, PIV, and CRP values based on the presence of lymphatic metastasis. The current study is the first to comprehensively examine the relationship between larynx cancer and several inflammatory biomarkers. Many of these biomarkers have been shown to predict both PFS and OS in patients with larynx cancer undergoing definitive radiotherapy. It has been shown that PIV and CRP may predict the presence of lymphatic metastases in addition to PFS and OS.
Inflammation plays an important role in the process of cancer development. The number of studies evaluating the ability of inflammatory biomarkers to predict survival has increased in recent years. This study aimed to comprehensively evaluate the predictive role of inflammatory biomarkers in patients with larynx cancer undergoing definitive radiotherapy. A total of 101 patients who underwent definitive radiotherapy for larynx cancer at our center were retrospectively examined. Blood samples were taken from the patients before radiotherapy to obtain biomarkers such as C-reactive protein (CRP), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), pan-immune inflammatory value (PIV), hemo-eosinophil inflammation index (HEI), albumin, and Lactate dehydrogenase (LDH). The study examined the predictive value of parameters for progression-free survival (PFS), local recurrence-free survival (LRFS), and overall survival (OS) using both univariate and multivariate Cox regression analysis. In the univariate analysis, the biomarkers that predicted PFS were SII, PIV, CRP, and Eastern Cooperative Oncology Group Performance Status (ECOG PS). According to the multivariate analysis, only CRP was found to be a significant predictor of PFS. In the univariate analysis, the following biomarkers were found to predict OS: NLR, PLR, MLR, SII, PIV, CRP, HEI, stage, and ECOG PS. In the multivariate analysis, NLR and ECOG PS were found to be predictors of OS. A significant difference was found in MLR, PIV, and CRP values based on the presence of lymphatic metastasis. The current study is the first to comprehensively examine the relationship between larynx cancer and several inflammatory biomarkers. Many of these biomarkers have been shown to predict both PFS and OS in patients with larynx cancer undergoing definitive radiotherapy. It has been shown that PIV and CRP may predict the presence of lymphatic metastases in addition to PFS and OS.
Background:The inter-alpha-trypsin inhibitor heavy chain 4 (ITIH4) may regulate immunity and inflammation. The current study was conducted to determine its role as a biomarker for reflecting the severity and predicting outcomes of intracerebral hemorrhage (ICH). Methods: In this prospective cohort study, 185 patients with supratentorial ICH were enrolled, among whom 62 had blood obtained not only at admission but also on days 1, 3, 5, 7, 10, and 14. In addition, 62 healthy controls underwent blood collection at the start of the study. The serum ITIH4 levels were then quantified. We recorded early neurological deterioration (END) and poor prognosis (modified Rankin Scale [mRS] scores of 3-6]) six months after ICH. Results: Serum ITIH4 levels decreased prominently in the early phase after ICH, continued to decline until day 5, then gradually increased until day 14, and were significantly lower during 14 days in patients than in controls. Serum ITIH4 levels on admission were independently associated with serum C-reactive protein levels, National Institutes of Health Stroke Scale (NIHSS) scores and hematoma volume. Admission serum ITIH4 levels were independently associated with mRS scores, END, and poor prognosis. No substantial differences existed in the areas under the receiver operating characteristic curve of END and poor prognosis prediction between the serum ITIH4 levels, NIHSS scores, and hematoma volume. Prediction models, in which serum ITIH4 levels, NIHSS scores, and hematoma volume were integrated, were relatively reliable and stable using a series of statistical methods. In addition, the prediction model of poor prognosis had a higher discriminatory ability than the NIHSS scores and hematoma volume alone. Conclusion: A dramatic decline in serum ITIH4 levels during the early period following ICH is independently related to the inflammatory response, stroke severity, and poor neurologic outcomes, suggesting that serum ITIH4 may be a useful prognostic biomarker of ICH.
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