纤维蛋白原浓度和中性粒细胞与淋巴细胞比值的组合是炎症反应和凝血级联的综合模型,可用于预测上尿路尿道癌患者的预后。

0 MEDICINE, RESEARCH & EXPERIMENTAL Biomolecules & biomedicine Pub Date : 2024-11-08 DOI:10.17305/bb.2024.11039
Yangqing Zheng, Chen Chen, Chaoyue Lu, Yongxing Bao, Weishi Zhang, Haote Liang, Tingyu Ye, Zhixian Yu, Yeping Li, Lina Zhou, Deguan Yu, Binwei Lin
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摘要

炎症和凝血级联与癌症的发生和发展密切相关。本研究调查了血浆纤维蛋白原水平和中性粒细胞与淋巴细胞比值(F-NLR)在上尿路上皮癌(UTUC)患者中的预后价值。F-NLR对总生存期(OS)、癌症特异性生存期(CSS)和无进展生存期(PFS)的预测能力已初步建立,随后在接受根治性肾切除术治疗UTUC的患者中得到进一步验证。因此,在确定了 NLR 的临界值(≥2.53 vs. ≥2.53)后,患者被分为三组。
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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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