Novel Blood Indicators of Progression and Prognosis in Renal Cell Carcinoma: Red Cell Distribution Width-to-Lymphocyte Ratio and Albumin-to-Fibrinogen Ratio

Chenjun Ma; Quan Liu; Chengyang Li; Jiwen Cheng; Deyun Liu; Zhanbin Yang; Haibiao Yan; Bo Wu; Yongxian Wu; Jiawen Zhao

doi:10.1155/2020/2895150

Novel Blood Indicators of Progression and Prognosis in Renal Cell Carcinoma: Red Cell Distribution Width-to-Lymphocyte Ratio and Albumin-to-Fibrinogen Ratio

J Oncol. 2020 Nov 25:2020:2895150. doi: 10.1155/2020/2895150. eCollection 2020.

Authors

Chenjun Ma¹, Quan Liu², Chengyang Li¹, Jiwen Cheng¹, Deyun Liu¹, Zhanbin Yang¹, Haibiao Yan¹, Bo Wu¹, Yongxian Wu¹, Jiawen Zhao¹

Affiliations

¹ Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
² Department of Urology, Liuzhou Traditional Chinese Medical Hospital, Liuzhou, Guangxi, China.

Abstract

Objective: To evaluate the value of preoperative red cell distribution width-to-lymphocyte ratio (RLR) and albumin-to-fibrinogen ratio (AFR) to the prognosis of patients after renal cell carcinoma (RCC).

Methods: From 2012 to 2016, a total of 273 RCC patients underwent radical nephrectomy or partial nephrectomy. This study retrospectively analyzed this group of patients. X-tile software was used to determine the optimal values of RLR and AFR in the peripheral blood. The nomogram constructed with independent factors was used to predict the survival outcome of the patients after RCC.

Results: The RLR of the RCC group was higher than that of the normal control group (P=0.002), whereas the AFR of the RCC group was lower than that of the normal control group (P < 0.001). RLR and AFR are related to tumour type and tumour-node-metastasis (TNM) stage (P < 0.05 for all). Cox regression analysis showed that the independent prognostic factors affecting overall survival and disease-free survival in the RCC group were symptom, tumour type, TNM stage, Fuhrman grade, RLR, and AFR (P < 0.05 for all). The nomogram constructed by multiple factors has better predictive power for patients after RCC.

Conclusion: Preoperative RLR and AFR can serve as potential biomarkers to predict the prognosis of postoperative RCC patients and improve the predictability of patient recurrence and survival.