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The prognostic role of a combined fibrinogen and inflammation-based index in patients with metastatic breast cancer

BACKGROUND: The activation of inflammation and coagulation cascades plays an essential role in the development of various malignancies, including metastatic breast cancer (MBC). This retrospective study aimed to investigate the prognostic role of the combination of fibrinogen and the inflammation-ba...

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Detalles Bibliográficos
Autores principales: Liu, Qiuge, Fang, Shuangshuang, Liang, Shanshan, Lv, Jinyan, Wang, Gang, Tang, Rongbin, Ji, Xuening, Zhao, Tong, Li, Jiaoyang, Xu, Lu, Ma, Lianli, Wang, Ruoyu, Li, Heming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799106/
https://www.ncbi.nlm.nih.gov/pubmed/35117312
http://dx.doi.org/10.21037/tcr-20-2157
Descripción
Sumario:BACKGROUND: The activation of inflammation and coagulation cascades plays an essential role in the development of various malignancies, including metastatic breast cancer (MBC). This retrospective study aimed to investigate the prognostic role of the combination of fibrinogen and the inflammation-based index in patients with MBC. METHODS: A total of 176 patients with MBC were retrospectively reviewed. The clinical and pathological data of included patients were followed-up and analyzed. The plasma fibrinogen concentration (FIB), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) were measured. Dynamic variations in the FIB, NLR, and PLR values were collected from 56 MBC patients before and after first-line therapy. Receiver operating characteristic (ROC) curves were constructed to assess the optimal cut-off values. Correlations between FIB and NLR or PLR were evaluated using Spearman correlation analysis. The Kaplan-Meier method, two-tailed log-rank test, and Cox proportional hazard model were used for statistical analysis. RESULTS: Baseline FIB was positively correlated with NLR and PLR values in MBC patients (P<0.05). Additionally, multivariable analysis proved that the ERBB2 + subtype (P=0.023), basal-like subtype (P=0.032), targeted therapy (P=0.033), other regimens (P=0.005), and baseline FIB level (P=0.004) were independent prognostic variables for progression-free survival (PFS) in MBC patients. Furthermore, ERBB2+, basal-like subtypes, and baseline hyperfibrinogenemia were independent factors for poor prognosis in MBC patients [hazard ratio (HR): 3.717, 95% confidence interval (CI): 1.561–8.851, P=0.003; HR: 3.245, 95% CI: 1.368–7.698, P=0.008; HR: 2.069, 95% CI: 1.352–3.167, P=0.001, respectively]. Most importantly, the FIB level increased significantly after first-line therapy in patients with disease progression (3.73±0.63 vs. 5.32±0.52 g/L, P=0.042) and also decreased markedly in stable disease (3.42±1.05 vs. 3.03±0.73 g/L, P=0.036). However, PFS and overall survival (OS) were not significantly correlated with the dynamic changes of FIB and the inflammation-based index. CONCLUSIONS: The present study provided evidence that baseline FIB combined with NLR and PLR could serve as prognostic predictors for MBC patients. Dynamic change of FIB before and after first-line therapy could also be used as a potential predictor of therapeutic response in MBC patients.