| Literature DB >> 32590741 |
Lihua Zheng1,2,3, Yaheng Zhao1,2,3, Feng Liu1,2,3, Peng Liu1,2,3, Wei Li1,2,3, Yan Yang1,2,3, Hongsong Zhang1,2,3, Yunjiang Liu4.
Abstract
Plasma albumin to fibrinogen ratio is involved in human cancer, but its prognostic significance in breast cancer is controversy. In the context of breast invasive ductal carcinoma, this research aims to retrospectively evaluate by preoperative plasma albumin to fibrinogen ratio (AFR) and forecast oncological outcome and recurrence.This retrospective study comprised 230 patients with non-metastatic breast invasive ductal carcinoma who underwent surgery between January 2009 and April 2012 in Fourth Hospital of Hebei Medical University. Patients were categorized base on an optimal value of preoperative plasma fibrinogen (Fib) and albumin. Progression-free and cancer-specific survival were assessed using Kaplan-Meier method. The associations between albumin to fibrinogen ratio and clinical outcomes were assessed with univariate and multivariate analysis. A number of risk factors were used to form nomograms to evaluate survival, and Harrell concordance index (C-index) was used to evaluate the predictive accuracy.Plasma AFR was significantly associated with diminished disease-free survival (DFS) and overall survival (OS). Multivariate analysis revealed that plasma AFR was an independent prognostic indicator for DFS (HR = 1.346; 95% CI: 1.107-1.636; P = .03) and overall survival (OS) (HR = 1.485; 95% CI: 1.106-1.993; P = .008). Two prediction model of 3-, 5-years OS and DFS based on the AFR was developed.Elevated preoperative plasma AFR is an independent prognostic factor for oncological outcomes in patients with breast invasive ductal carcinoma. The formulated nomogram showed superior predictive accuracy for DFS and OS.Entities:
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Year: 2020 PMID: 32590741 PMCID: PMC7328933 DOI: 10.1097/MD.0000000000020681
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Clinical characteristics of patients.
Univariate analysis of OS and DFS.
Multivariable Cox regression analysis of OS and DFS.
Figure 1Kaplan–Meier survival analysis of DFS (A) and OS (B) according to low and high groups. DFS = disease-free survival, OS = overall survival.
Figure 2Nomogram model predicting 3- and 5-year DFS (A) and OS (B) in breast invasive ductal carcinoma patients. The nomogram was used summing the points identified on the points scale for each variable. The total points projected on the bottom scales indicate the probability of 3- and 5-year survival. ER/PR (+): 1 = negative, 2 = positive; P53 1 = <25%, 2 = ≥25%, <50%, 3 = ≥50%, <75%, 4 = ≥75%; Ki-67 1 = ≤30%, 2 = >30%, Lymphovascular invasion 0 = NO, 1 = Yes. DFS = disease-free survival, OS = overall survival; ER = estrogen receptor; PR = progesterone receptor.
Figure 3The curves for predicting patient DFS (A) and OS (B) at 3 years. Nomogram model-predicted OS is plotted on the x-axis; actual OS is plotted on the y-axis. Closer alignment with the diagonal line represents a better estimation. DFS = disease-free survival, OS = overall survival.
Figure 4Decision curve analysis for the 2 nomograms in the population, DFS (A) and OS (B). The y-axis measures the net benefit. The dotted lines (green and blue) represent the nomogram. The solid lines (green and blue) represent the assumption that all patients have 3-, or 5-year survival and DFS, respectively. The thin black line represents the assumption that no patients have 3-, or 5-year survival and DFS. The net benefit was calculated by subtracting the proportion of all patients who are false positive from the proportion who are true positive. DFS = disease-free survival, OS = overall survival.