Yufen Zheng1, Chunlong Wu1, Haixi Yan1, Shiyong Chen2. 1. Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Taizhou Enze Medical Center (Group), Linhai 317000, Zhejiang Province, China. 2. Department of Clinical Laboratory, Taizhou Hospital of Zhejiang Province, Taizhou Enze Medical Center (Group), Linhai 317000, Zhejiang Province, China. Electronic address: chensy@enzemed.com.
Abstract
OBJECTIVE: The purpose of this study was to evaluate the prognostic value of combined preoperative fibrinogen-albumin ratio and platelet-lymphocyte ratio score (FAR-PLR score) in breast cancer, and to establish a nomogram based on the score as well as clinicopathological factors to predict the prognosis of breast cancer. METHODS: The study cohort included 707 breast cancer patients who underwent curative resection in Taizhou Hospital of Zhejiang Province, China from January 2010 to April 2016. FAR and PLR increased by 2 at the same time, only one index increased by 1, and none increased by 0. The relationship of preoperative FAR-PLR score with overall survival time (OS) and disease free survival time (DFS) in breast cancer was analyzed by log-rank test and COX proportional risk regression model, and a nomogram was established based on the results of multivariate analysis. RESULTS: The average patient follow-up time was 61.2 months. The FAR-PLR score was conversely correlated with OS and DFS (P < 0.001). In the stage I-II group and III group, the FAR-PLR scores were significantly different among high, medium and low groups of OS and DFS (P < 0.01). FAR-PLR score was also found to be a powerful predictor of prognosis in Luminal B-like subtype, Her-2 overexpression subtype, and triple-negative subtype breast cancers; the higher the FAR-PLR score, the worse the prognosis. Forest charts and multivariate COX proportional risk regression model analysis showed that preoperative FAR-PLR score was an independent risk factor of OS (HR = 1.759, 95%CI = 1.410-2.210, P = 0.000) and DFS (HR = 1.729, 95%CI = 1.385-2.158, P = 0.000) in breast cancer. Based on the COX regression analysis of multiple factors, a nomogram prediction model for the survival of breast cancer was established. The calibration curve analysis indicated that the nomogram results were highly consistent between predicted and actual outcomes. Compared to stage (C-index of OS and DFS were 0.583 and 0.588 respectively), PR (C-index of OS and DFS were 0.592 and 0.592 respectively) and FAR-PLR score (C-index of OS and DFS were 0.592 and 0.591 respectively), the nomogram showed better predictive accuracy (C-index of OS and DFS were 0.652 and 0.651 respectively). CONCLUSIONS: The results of this study suggest that preoperative FAR-PLR score may be a potential new biomarker for predicting survival and prognosis of breast cancer. A prognostic nomogram model based on preoperative FAR-PLR score and clinicopathological factors may help doctors make better clinical decisions for breast cancer treatment.
OBJECTIVE: The purpose of this study was to evaluate the prognostic value of combined preoperative fibrinogen-albumin ratio and platelet-lymphocyte ratio score (FAR-PLR score) in breast cancer, and to establish a nomogram based on the score as well as clinicopathological factors to predict the prognosis of breast cancer. METHODS: The study cohort included 707 breast cancerpatients who underwent curative resection in Taizhou Hospital of Zhejiang Province, China from January 2010 to April 2016. FAR and PLR increased by 2 at the same time, only one index increased by 1, and none increased by 0. The relationship of preoperative FAR-PLR score with overall survival time (OS) and disease free survival time (DFS) in breast cancer was analyzed by log-rank test and COX proportional risk regression model, and a nomogram was established based on the results of multivariate analysis. RESULTS: The average patient follow-up time was 61.2 months. The FAR-PLR score was conversely correlated with OS and DFS (P < 0.001). In the stage I-II group and III group, the FAR-PLR scores were significantly different among high, medium and low groups of OS and DFS (P < 0.01). FAR-PLR score was also found to be a powerful predictor of prognosis in Luminal B-like subtype, Her-2 overexpression subtype, and triple-negative subtype breast cancers; the higher the FAR-PLR score, the worse the prognosis. Forest charts and multivariate COX proportional risk regression model analysis showed that preoperative FAR-PLR score was an independent risk factor of OS (HR = 1.759, 95%CI = 1.410-2.210, P = 0.000) and DFS (HR = 1.729, 95%CI = 1.385-2.158, P = 0.000) in breast cancer. Based on the COX regression analysis of multiple factors, a nomogram prediction model for the survival of breast cancer was established. The calibration curve analysis indicated that the nomogram results were highly consistent between predicted and actual outcomes. Compared to stage (C-index of OS and DFS were 0.583 and 0.588 respectively), PR (C-index of OS and DFS were 0.592 and 0.592 respectively) and FAR-PLR score (C-index of OS and DFS were 0.592 and 0.591 respectively), the nomogram showed better predictive accuracy (C-index of OS and DFS were 0.652 and 0.651 respectively). CONCLUSIONS: The results of this study suggest that preoperative FAR-PLR score may be a potential new biomarker for predicting survival and prognosis of breast cancer. A prognostic nomogram model based on preoperative FAR-PLR score and clinicopathological factors may help doctors make better clinical decisions for breast cancer treatment.