The Prognostic Significance of the Fibrinogen-to-Albumin Ratio in Patients With Triple-Negative Breast Cancer: A Retrospective Study

Development of predictive models for pathological response status in breast cancer after neoadjuvant therapy based on peripheral blood inflammatory indexes

BACKGROUND

Achieving a pathological complete response (pCR) after neoadjuvant therapy (NAT) is considered to be a critical factor for a favourable prognosis in breast cancer. However, discordant pathological complete response (DpCR), characterised by isolated responses in the breast or axillary, represents an intermediate pathological response category between no response and complete response. This study aims to investigate predictive factors and develop models based on peripheral blood inflammatory indexes to more accurately predict NAT outcomes.

METHOD

A total of 789 eligible patients were enrolled in this retrospective study. The patients were randomized into training and validation cohort according to a 7:3 ratio. Lasso and uni/multivariable logistic regression analysis were applied to identify the predictor variables. Two Nomograms combining clinico-pathologic features and peripheral blood inflammatory indexes were developed.

RESULT

Molecular Subtype, HALP, P53, and FAR were used to construct the predictive models for traditional non pCR (T-NpCR) and total-pCR (TpCR). The T-NpCR group was divided into DpCR and non pCR (NpCR) subgroups to construct a new model to more accurately predict NAT outcomes. cN, HALP, FAR, Molecular Subtype, and RMC were used to construct the predictive models for NpCR and DpCR. The receiver operating characteristic (ROC) curves indicate that the model exhibits robust predictive capacity. Clinical Impact Curves (CIC) and Decision Curve Analysis (DCA) indicate that the models present a superior clinical utility.

CONCLUSION

HALP and FAR were identified as peripheral blood inflammatory index predictors for accurately predicting NAT outcomes.

Prognostic and clinicopathological significance of fibrinogen-to-albumin ratio (FAR) in patients with breast cancer: a meta-analysis

BACKGROUND

The fibrinogen-to-albumin ratio (FAR) has been extensively studied for its role in predicting the prognosis of breast cancer (BC) patients; however, existing findings are conflicting. Therefore, this meta-analysis was conducted to identify the significance of FAR in predicting BC prognosis.

METHODS

We searched PubMed, Embase, Web of Science, Cochrane Library, and China National Knowledge Infrastructure databases until May 25, 2024. The value of FAR for predicting overall survival (OS) and disease-free survival (DFS) in BC was examined by calculating the combined hazard ratios (HRs) and 95% confidence intervals (CIs). Correlations between FAR and clinicopathological factors were analyzed using combined odds ratios (ORs) and 95% CIs.

RESULTS

Eight studies involving 4094 patients were included in this work. As shown by our combined data, increased FAR significantly predicted poor OS (HR = 2.84, 95% CI = 1.83-4.39, p < 0.001) and poor DFS (HR = 2.43, 95% CI = 1.66-3.58, p < 0.001) of BC. Moreover, the combined data showed that increased FAR was significantly correlated with age ≥ 50 years (OR = 2.04, 95% CI = 1.37-3.04, p < 0.001), stage III cancer (OR = 1.53, 95% CI = 1.04-2.27, p = 0.033), and the presence of lymph node metastases (OR = 1.33, 95% CI = 1.11-1.61, p = 0.002). Nonetheless, FAR was not significantly associated with tumor size, ER/PR/HER-2 status, or lymphovascular invasion in patients with BC.

CONCLUSION

In this meta-analysis, higher FAR was significantly associated with unfavorable OS and DFS in patients with BC and significantly correlated with several features predictive of cancer development in BC.

The Prognostic Value of Serum Albumin to Globulin Ratio in Patients with Breast Cancer: A Retrospective Study

Objective

This study examined the potential risk value of the serum albumin to globulin ratio (AGR) in patients with breast cancer (BC).

Methods

This study employed a retrospective design, enrolling 332 patients with BC and 38 patients without BC treated at Taizhou People's Hospital between September 2015 and May 2021. Multivariate Cox proportional hazard regression models were used to identify potential risk factors. A prognostic nomogram was developed based on the multivariate analyses. The receiver operating characteristic curve determined the optimal cutoff value for AGR.

Results

The results indicated a statistically significant decrease in AGR among patients with BC. Significant disparities were observed in globulin and AGR levels between the two cohorts. AGR was significantly associated with tumor size and stage, with a marked decline in advanced stages of BC. Additionally, AGR and aspartate transaminase/Alanine aminotransferase (AST/ALT) emerged as significant diagnostic indicators for invasive carcinoma and advanced stages (II-IV) of BC. Specifically, AGR exhibited an area under the curve of 0.645 (P < 0.003), highlighting the discriminatory capacity of serum globulin levels in distinguishing between BC and non-BC cohorts.

Conclusions

The AGR, routinely assessed due to its simplicity, objectivity, and cost-effectiveness, holds promise as a potential risk factor for BC and may have practical implications in clinical settings.

Prognostic Value of Fibrinogen-to-Albumin Ratio in Coronary Three-Vessel Disease

Objective

To investigate the prognostic value of fibrinogen-to-albumin ratio (FAR) in the adverse outcomes of patients with coronary three-vessel disease (TVD).

Methods

A total of 4061 patients with TVD between 2013 and 2018 were analyzed in this retrospective cohort study. The best cut‑off value of the FAR determined by receiver operating characteristic (ROC) curve analysis was 0.084. 2782 (68.5%) patients were in the low FAR group (FAR < 0.084) and 1279 (31.5%) patients were in the high FAR group (FAR ≥ 0.084), respectively. Three multivariate Cox proportional hazards models were applied to determine the associations of FAR with clinical outcomes. The concordance index (C-index), net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to assess the incremental predictive value of the FAR and baseline models with respect to the additive effects of the established traditional risk factors on the discrimination of clinical outcomes. The primary endpoint was all-cause mortality. The secondary endpoint was major adverse cardiac and cerebrovascular events (MACCEs).

Results

The median follow-up duration was 2.4 years (range 1.1-4.1 years). Multivariate Cox regression analyses showed that the incidence of all-cause mortality (4.7% vs 2.2%, adjusted hazard ratio [HR] 1.68, 95% confidence interval [CI] 1.12-2.52, p=0.011) and MACCE (34.6% vs 27.3%, HR 1.28, 95% CI 1.13-1.46, p<0.001) were significantly higher in the high FAR group compared to the low FAR group. The C-index was 0.72 (p < 0.001), the value of NRI was 0.3778 (p < 0.001), and the value of IDI was 0.0098 (p < 0.001) for those with FAR. After FAR was added to the traditional model, the discrimination and risk reclassification ability can be significantly improved for all-cause mortality. The similar results were found for MACCE.

Conclusion

Higher level of FAR was associated with all-cause mortality and MACCE among patients with TVD. FAR could help to improve the prognostic performance of the traditional risk factors for TVD patients.

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

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.

The association between fibrinogen-to-albumin ratio (FAR) and adverse prognosis in patients with acute decompensated heart failure at different glucose metabolic states

BACKGROUND

Circulating fibrinogen-to-albumin ratio (FAR) has been proposed as a novel inflammatory biomarker and a cardiovascular disease risk predictor. However, its prognostic value in patients with acute decompensated heart failure (ADHF) and different glycemic metabolic states remains ambiguous.

METHODS

A total of 1031 hospitalized patients with ADHF from January 2018 to May 2021 were included in the study. The primary endpoints were the major adverse cardiac and cerebral events (MACCEs). Patients were categorized into high-level FAR (FAR-H) and low-level FAR (FAR-L) groups based on the optimal cut-off value of FAR obtained from restricted cubic spline function analysis. The Kaplan-Meier plots and three multivariate-adjusted Cox proportional hazard models were used to determine the association between FAR and the risk of developing MACCEs in patients with ADHF at different glycemic metabolic states.

RESULTS

MACCEs occurred in 483 (46.8%) patients during a median follow-up time of 520 days. The optimal FAR cut-off value was 0.079. Upon analyzing the Kaplan-Meier plots, the incidence of MACCEs was significantly different between the FAR groups in all patients and patients with diabetes mellitus (p < 0.05). After adjusting for the confounding factors, the hazard ratio (HR) for MACCEs in the FAR-H group was 1.29 compared with the FAR-L group in all patients (Model 3: 95% CI 1.07-1.56, p = 0.007). Additionally, high FAR was associated with MACCEs in three multivariate Cox models (Model 1, HR = 1.52, 95% CI 1.17-1.96, p = 0.002; Model 2, HR = 1.46, 95% CI 1.13-1.89, p = 0.004; Model 3, HR = 1.48, 95% CI 1.14-1.92, p = 0.003) in DM patients. But no significant differences were found between the FAR groups for prediabetes mellitus (Pre-DM) and normal glucose regulation (NGR) using the three Cox models (all p-values were > 0.05).

CONCLUSIONS

Elevated FAR was independently associated with poor prognosis in patients with ADHF and DM and thus could be used as a risk stratification tool and a potential therapeutic target in the future.