Literature DB >> 36119818

Combination of preoperative plasma fibrinogen and neutrophil-to-lymphocyte ratio to predict the prognosis for patients undergoing laparoscopic nephrectomy for renal cell carcinoma.

Jinliang Ni1,2,3, Yidi Wang1,3, Haixian Zhang4,5, Keyi Wang1,3, Wei Song2,3, Ming Luo3, Jianping Che3, Jiang Geng3, Yunfei Xu3, Xudong Yao3, Junhua Zheng6, Ming Chen7, Bo Peng1,2,3, Weipu Mao1,7.   

Abstract

This study was conducted to investigate the prognostic significance of a combination of fibrinogen and neutrophil-to-lymphocyte ratio (NLR) named the F-NLR score as a novel indicator and further create nomograms for predicting the prognosis of patients with renal cell carcinoma (RCC) treated with laparoscopic nephrectomy. A total of 425 patients with RCC who underwent laparoscopic nephrectomy were included in this study. Then, we divided the patients based on the cut-off values of their F-NLR score into three categories: F-NLR 2 (both high fibrinogen and NLR), F-NLR 0 (both low fibrinogen and NLR), and F-NLR 1 (remaining patients). Cox regression analysis was performed to investigate the predictive performance of the F-NLR score on overall survival (OS) and cancer-specific survival (CSS). Predictive nomograms of F-NLR were established and internally validated. Time-dependent receiver operating characteristic (ROC) curve analysis was performed to assess the predictive accuracy of the nomogram, NLR, and fibrinogen as prognostic markers. The F-NLR 0, 1, and 2 groups included 226 (53.2%), 147 (34.6%), and 52 (12.2%) patients, respectively. Cox regression analysis showed that a high F-NLR score was significantly associated with poor prognosis and acted as an independent prognostic factor for OS and CSS (all P < 0.05). Predictive nomograms with F-NLR for OS (C-index: 0.773) and CSS (C-index: 0.838) were well developed. Time-dependent ROC results showed that nomograms containing F-NLR had better predictive performance than NLR and fibrinogen. F-NLR score was a novel effective prognostic biomarker for patients with RCC undergoing laparoscopic nephrectomy. AJCR
Copyright © 2022.

Entities:  

Keywords:  F-NLR score; laparoscopic nephrectomy; prognostic biomarker; renal cell carcinoma

Year:  2022        PMID: 36119818      PMCID: PMC9442019     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   5.942


  29 in total

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Authors:  A Sahni; C W Francis
Journal:  Blood       Date:  2000-12-01       Impact factor: 22.113

2.  Platelets and fibrinogen facilitate each other in protecting tumor cells from natural killer cytotoxicity.

Authors:  Sheng Zheng; Jian Shen; Yang Jiao; Yan Liu; Chunmei Zhang; Min Wei; Shui Hao; Xianlu Zeng
Journal:  Cancer Sci       Date:  2009-03-11       Impact factor: 6.716

Review 3.  Fibrinogen: a journey into biotechnology.

Authors:  Anna Bratek-Skicki; Paulina Żeliszewska; Juan M Ruso
Journal:  Soft Matter       Date:  2016-10-26       Impact factor: 3.679

Review 4.  The prognostic value of the neutrophil-lymphocyte ratio in renal oncology: A review.

Authors:  Romain Boissier; Jennifer Campagna; Nicolas Branger; Gilles Karsenty; Eric Lechevallier
Journal:  Urol Oncol       Date:  2017-02-21       Impact factor: 3.498

5.  Prognostic Role of Prothrombin Time Activity, Prothrombin Time, Albumin/Globulin Ratio, Platelets, Sex, and Fibrinogen in Predicting Recurrence-Free Survival Time of Renal Cancer.

Authors:  Zichen Bian; Jialin Meng; Qingsong Niu; Xiaoyan Jin; Jinian Wang; Xingliang Feng; Hong Che; Jun Zhou; Li Zhang; Meng Zhang; Chaozhao Liang
Journal:  Cancer Manag Res       Date:  2020-09-15       Impact factor: 3.989

Review 6.  The impact of anti-inflammatory agents on the outcome of patients with colorectal cancer.

Authors:  J H Park; D C McMillan; P G Horgan; C S Roxburgh
Journal:  Cancer Treat Rev       Date:  2013-06-14       Impact factor: 12.111

7.  The combination of plasma fibrinogen and neutrophil lymphocyte ratio (F-NLR) is a predictive factor in patients with resectable non small cell lung cancer.

Authors:  Haiyan Wang; Jin Zhao; Mingyun Zhang; Lijie Han; Ming Wang; Li Xingde
Journal:  J Cell Physiol       Date:  2017-12-26       Impact factor: 6.384

Review 8.  Cancer-related inflammation and treatment effectiveness.

Authors:  Connie I Diakos; Kellie A Charles; Donald C McMillan; Stephen J Clarke
Journal:  Lancet Oncol       Date:  2014-10       Impact factor: 41.316

Review 9.  Current status of research on exosomes in general, and for the diagnosis and treatment of kidney cancer in particular.

Authors:  Weipu Mao; Keyi Wang; Zonglin Wu; Bin Xu; Ming Chen
Journal:  J Exp Clin Cancer Res       Date:  2021-09-28
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