The predictive value of metabolic syndrome combined with inflammation index for the prognosis of triple-negative breast cancer

Niu Mengye; Gao Xian; Zhang Hongxu

doi:10.3760/j.issn.1673-4777.2025.08.013

Abstract：Objective To explore the predictive value of combining metabolic syndrome(MS),systemic inflammation index(SIRI)and fibrinogen/albumin ratio(FAR)in the prognosis of triple-negative breast cancer(TNBC),construct a scoring system and verify its predictive value for the prognosis of TNBC.Methods A total of 252 TNBC patients treated in the Affiliated Hospital of Chengde Medical University and the First Hospital of Hebei Medical University from January to December 2019 were selected as the training set,and 98 TNBC patients treated in the two hospitals from January to April 2020 were selected as the validation set.In the training set,48 patients with MS were included in the observation group,and 204 patients without MS were included in the control group.The patients were followed up for 3 years to record the occurrence of adverse events.MS,FAR and SIRI scoring systems were constructed and their predictive efficacy was evaluated.Results There were no significant differences in baseline data between the training set and the validation set(all P＞0.05).There were statistically significant differences in the levels of systolic blood pressure,diastolic blood pressure,body mass index,triglyceride,high-density lipoprotein,blood glucose,and the proportions of diabetes,hypertension,and adverse outcomes between the observation group and the control group(all P＜0.001).The results of univariate Cox regression analysis showed that SIRI and MS were risk factors for the poor outcome of TNBC patients,and FAR was a protec-tive factor for the poor outcome of TNBC patients(all P＜0.05).Receiver operating characteristic curve analysis results showed that the area under the curve of SIRI was 0.853,the area under the curve of FAR was 0.787,and the area under the curve of the scoring system was 0.886.Conclusion MS,FAR and SIRI are independent predictors of poor prognosis in TNBC,and the scoring system constructed by them can improve the prediction efficiency of poor prognosis.