Combined fibrinogen concentration and neutrophil-to-lymphocyte ratio, an integrative model of the inflammatory response and coagulation cascades, for predicting prognosis in patients with upper tract urothelial carcinoma

Inflammation and coagulation cascades are closely correlated with cancer occurrence and progression. This study investigated the prognostic value of the combination of plasma fibrinogen level and neutrophil-to-lymphocyte ratio (F-NLR) in patients with upper tract urothelial carcinoma (UTUC). The predictive ability of the F-NLR for overall survival (OS), cancer-specific survival (CSS), and progression-free survival (PFS) was initially established and then further validated in patients who underwent radical nephroureterectomy (RNU) for UTUC. As a result, patients were divided into three groups following the establishment of cut-off values for the neutrophil-to-lymphocyte ratio (NLR) (≥2.53 vs <2.53) and fibrinogen (≥4.55 vs <4.55) through receiver operating characteristic (ROC) curve analysis: F-NLR score 0 (low fibrinogen and low NLR), 2 (high fibrinogen and high NLR), or 1 (remaining patients). The F-NLR score was then identified as an independent risk factor for OS, CSS, and PFS (all P value <0.05) by multivariate regression analysis in both the training and validation cohorts. In addition, F-NLR-based nomograms for OS, CSS, and PFS were developed and evaluated using the concordance index (C-index) and calibration curves. The integration of the F-NLR into existing nomograms improved predictive accuracy compared to the use of nomograms without the F-NLR score. This suggests that the addition of F-NLR is beneficial for enhancing the accuracy of prognosis prediction in patients with UTUC. The F-NLR score may serve as a powerful predictor for patients with UTUC.

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Journal
Biomolecules and Biomedicine
Published
2024-11-08
DOI
https://doi.org/10.17305/bb.2024.11039
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Combined fibrinogen concentration and neutrophil-to-lymphocyte ratio, an integrative model of the inflammatory response and coagulation cascades, for predicting prognosis in patients with upper tract urothelial carcinoma

Lina Zhou, Chaoyue Lu, Zhixian Yu, Haote Liang et al.
Biomolecules and Biomedicine
Inflammatory Biomarkers in Disease Prognosis
article

Combined fibrinogen concentration and neutrophil-to-lymphocyte ratio, an integrative model of the inflammatory response and coagulation cascades, for predicting prognosis in patients with upper tract urothelial carcinoma

Lina Zhou, Chaoyue Lu, Zhixian Yu, Haote Liang, Deguan Yu, Yongxing Bao, Yangqing Zheng, Chen Chen, Yeping Li, Weishi Zhang, Tingyu Ye, Binwei Lin
article en

Abstract

Inflammation and coagulation cascades are closely correlated with cancer occurrence and progression. This study investigated the prognostic value of the combination of plasma fibrinogen level and neutrophil-to-lymphocyte ratio (F-NLR) in patients with upper tract urothelial carcinoma (UTUC). The predictive ability of the F-NLR for overall survival (OS), cancer-specific survival (CSS), and progression-free survival (PFS) was initially established and then further validated in patients who underwent radical nephroureterectomy (RNU) for UTUC. As a result, patients were divided into three groups following the establishment of cut-off values for the neutrophil-to-lymphocyte ratio (NLR) (≥2.53 vs <2.53) and fibrinogen (≥4.55 vs <4.55) through receiver operating characteristic (ROC) curve analysis: F-NLR score 0 (low fibrinogen and low NLR), 2 (high fibrinogen and high NLR), or 1 (remaining patients). The F-NLR score was then identified as an independent risk factor for OS, CSS, and PFS (all P value <0.05) by multivariate regression analysis in both the training and validation cohorts. In addition, F-NLR-based nomograms for OS, CSS, and PFS were developed and evaluated using the concordance index (C-index) and calibration curves. The integration of the F-NLR into existing nomograms improved predictive accuracy compared to the use of nomograms without the F-NLR score. This suggests that the addition of F-NLR is beneficial for enhancing the accuracy of prognosis prediction in patients with UTUC. The F-NLR score may serve as a powerful predictor for patients with UTUC.

Biomolecules and BiomedicineVol. 25(5)
Second Military Medical University (CN), Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Ruian People's Hospital (CN), Changhai Hospital (CN), Wenzhou City People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 64%
Inflammatory Biomarkers in Disease Prognosis
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