scholarly journals Prognostic Significance of Pretreatment Neutrophil/Lymphocyte Ratio and Platelet/Lymphocyte Ratio in Patients with Diffuse Large B-Cell Lymphoma

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Siqian Wang ◽  
Yongyong Ma ◽  
Lan Sun ◽  
Yifen Shi ◽  
Songfu Jiang ◽  
...  

It is generally believed that there is correlation between cancer prognosis and pretreatment PLR and NLR. However, there are limited data about their role in diffuse large B cell lymphoma (DLBCL). This study aims to determine the prognostic value of pretreatment PLR and NLR for patients who have DLBCL. The associations between clinical characteristics and NLR and PLR were evaluated among 182 DLBCL patients from January 2005 to June 2016. The optimal cutoff values for high PLR (⩾150) and NLR (⩾2.32) in prognosis prediction were determined. The effect of NLR and PLR on survival was evaluated through multivariate Cox regression analysis, univariate analysis, and log-rank test. According to the evaluation results, patients with high NLR and PLR had significantly shorter OS (P=0.026 and P=0.035) and PFS (P=0.024 and P=0.022) compared with those who have low PLR and NLR. On multivariate analyses, IPI>2, elevated LDH, and PLR⩾2.32 were prognostic factors for OS and PFS in DLBCL patients. Therefore, we demonstrated that high PLR and NLR predicted adverse prognostic factors in DLBCL patients.






Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1454-1454
Author(s):  
Xiaoxiao Hao ◽  
Yongqiang Wei ◽  
Fen Huang ◽  
Xiaolei Wei ◽  
Yuankun Zhang ◽  
...  

Abstract Inflammation-based prognostic scores, such as the glasgow prognostic score (GPS), prognostic index(PI), prognostic nutritional index(PNI), neutrophil lymphocyte ratio(NLR), platelet lymphocyte ratio(PLR) was related to survival in many solid tumors. Recent study showed that GPS can be used to predict outcome in diffuse large B-cell lymphoma(DLBCL). However other inflammation related scores had not been reported in DLBCL, and it also remained unknown which of them was more useful to evaluate the survival in DLBCL. In this retrospective study, a number of 252 newly diagnosed and histologically proven DLBCL patients from January 2003 to December 2014 were included. An elevated GPS, PI, NLR, PNI and PLR were all associated with decreased overall survival(p=0.000, p=0.000, p=0.006, p=0.001 and p=0.001, respectively) and event-free survival (p=0.000, p=0.000, p=0.011, p=0.001 and p=0.009, respectively) in univariate analysis. Multivariate analysis indicated that GPS(RR=1.768, 95%CI=1.043-3.000, p =0.034) remained an independent prognostic predictor in DLBCL. The area under the curve of GPS (0.735, 95%CI=0.645-0.824) was greater than that of PI(0.710, 95%CI=0.621-0.799), PNI(0.600, 95%CI=0.517-0.683), NLR(0.572, 95%CI=0.503-0.642), and PLR(0.599, 95%CI=0.510-0.689) by Harrell's C-statistics. Especially in the DLBCL patients treated with R-CHOP, GPS also remained the most powerful inflammation-based prognostic score when comparing with PI, NLR, PNI and PLR (p=0.004, p=0.000, respectively for OS and EFS). In conclusion, these results indicate that Inflammation-based prognostic scores such as GPS, PI, NLR, PNI and PLR can be used to evaluate the outcome in DLBCL patients. Among them, GPS is the most powerful tool in predicting survival in DLBCL patients, even in the rituximab era. Disclosures No relevant conflicts of interest to declare.



2020 ◽  
Author(s):  
Michael Roost Clausen ◽  
Sinna Pilgaard Ulrichsen ◽  
Maja Bech Juul ◽  
Christian B. Poulsen ◽  
Brian Østergaard ◽  
...  


Author(s):  
Carla Isabelly Rodrigues‐Fernandes ◽  
Lucas Guimarães Abreu ◽  
Raghu Radhakrishnan ◽  
Danyel Elias da Cruz Perez ◽  
Gleyson Kleber Amaral‐Silva ◽  
...  


2013 ◽  
Vol 104 (9) ◽  
pp. 1245-1251 ◽  
Author(s):  
Young Wha Koh ◽  
Hee Sang Hwang ◽  
Se Jin Jung ◽  
Chansik Park ◽  
Dok Hyun Yoon ◽  
...  


PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e95020 ◽  
Author(s):  
Kuangguo Zhou ◽  
Danmei Xu ◽  
Yang Cao ◽  
Jue Wang ◽  
Yunfan Yang ◽  
...  


2011 ◽  
Vol 95 (2) ◽  
pp. 143-148 ◽  
Author(s):  
Jianhua Feng ◽  
Zhujun Wang ◽  
Xiaoping Guo ◽  
Yuanyuan Chen ◽  
Yuping Cheng ◽  
...  


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