Fibrinogen-to-albumin ratio predicts overall survival of hepatocellular carcinoma

World J Gastrointest Oncol. 2023 Sep 15;15(9):1662-1672. doi: 10.4251/wjgo.v15.i9.1662.

Abstract

Background: Fibrinogen-to-albumin ratio (FAR) has been found to be of prognostic significance for several types of malignant tumors. However, less is known about the association between FAR and survival outcomes in hepatocellular carcinoma (HCC) patients.

Aim: To explore the association between FAR and prognosis and survival in patients with HCC.

Methods: A total of 366 histologically confirmed HCC patients diagnosed between 2013 and 2018 in a provincial cancer hospital in southwestern China were retrospectively selected. Relevant data were extracted from the hospital information system. The optimal cutoff for baseline serum FAR measured upon disease diagnosis was established using the receiver operating characteristic (ROC) curve. Univariate and multivariate Cox proportional hazards models were used to determine the crude and adjusted associations between FAR and the overall survival (OS) of the HCC patients while controlling for various covariates. The restricted cubic spline (RCS) was applied to estimate the dose-response trend in the FAR-OS association.

Results: The optimal cutoff value for baseline FAR determined by the ROC was 0.081. Multivariate Cox proportional hazards model revealed that a lower baseline serum FAR level was associated with an adjusted hazard ratio of 2.43 (95% confidence interval: 1.87-3.15) in the OS of HCC patients, with identifiable dose-response trend in the RCS. Subgroup analysis showed that this FAR-OS association was more prominent in HCC patients with a lower baseline serum aspartate aminotransferase or carbohydrate antigen 125 level.

Conclusion: Serum FAR is a prominent prognostic indicator for HCC. Intervention measures aimed at reducing FAR might result in survival benefit for HCC patients.

Keywords: Cox proportional hazards model; Fibrinogen-to-albumin ratio; Hepatocellular carcinoma; Overall survival; Survival analysis.