The Prognostic value of the Fibrinogen to pre-albumin ratio in malignant tumors of the digestive system: a systematic review and meta-analysis

Fibrinogen to pre-albumin ratio is an independent prognostic index for patients with pancreatic ductal adenocarcinoma after radical resection

BACKGROUND

This study aims to elucidate the significance of the preoperative fibrinogen to pre-albumin ratio (FPR) in predicting the prognosis of pancreatic ductal adenocarcinoma (PDAC), a correlation not extensively explored previously.

METHODS

A cohort of 563 patients diagnosed with PDAC and subjected to radical surgical resection was examined. We meticulously documented a range of inflammatory markers, clinical-pathological features, and oncological outcomes. The prognostic value of preoperative FPR was assessed using Kaplan-Meier survival analysis and Cox proportional hazards regression modeling. Furthermore, the predictive accuracy of FPR was evaluated through time-dependent receiver operating characteristic (ROC) curves and decision curve analyses (DCA).

RESULTS

The determined optimal threshold for FPR was 14.77, which facilitated the stratification of patients into groups with low and high FPR levels. Notably, patients in the high FPR cohort exhibited significantly reduced recurrence-free survival (RFS) and overall survival (OS) rates compared to their low FPR counterparts. Multivariate Cox regression analysis underscored FPR as an independent prognostic indicator for both RFS and OS. In comparison to the neutrophil-to-lymphocyte ratio (NLR), FPR demonstrated superior prognostic accuracy and clinical utility.

CONCLUSION

The preoperative fibrinogen to pre-albumin ratio serves as an independent prognostic marker for RFS and OS among PDAC patients undergoing radical resection. Our findings suggest that FPR could be a valuable addition to the current prognostic models, potentially guiding therapeutic decision-making and patient management strategies in PDAC.

A nomogram based on inflammation and nutritional biomarkers for predicting the survival of breast cancer patients

Background

We aim to develop a new prognostic model that incorporates inflammation, nutritional parameters and clinical-pathological features to predict overall survival (OS) and disease free survival (DFS) of breast cancer (BC) patients.

Methods

The study included clinicopathological and follow-up data from a total of 2857 BC patients between 2013 and 2021. Data were randomly divided into two cohorts: training (n=2001) and validation (n=856) cohorts. A nomogram was established based on the results of a multivariate Cox regression analysis from the training cohorts. The predictive accuracy and discriminative ability of the nomogram were evaluated by the concordance index (C-index) and calibration curve. Furthermore, decision curve analysis (DCA) was performed to assess the clinical value of the nomogram.

Results

A nomogram was developed for BC, incorporating lymphocyte, platelet count, hemoglobin levels, albumin-to-globulin ratio, prealbumin level and other key variables: subtype and TNM staging. In the prediction of OS and DFS, the concordance index (C-index) of the nomogram is statistically greater than the C-index values obtained using TNM staging alone. Moreover, the time-dependent AUC, exceeding the threshold of 0.7, demonstrated the nomogram's satisfactory discriminative performance over different periods. DCA revealed that the nomogram offered a greater overall net benefit than the TNM staging system.

Conclusion

The nomogram incorporating inflammation, nutritional and clinicopathological variables exhibited excellent discrimination. This nomogram is a promising instrument for predicting outcomes and defining personalized treatment strategies for patients with BC.

Predictive nomograms based on gamma-glutamyl transpeptidase to prealbumin ratio for prognosis of hepatocellular carcinoma patients without microvascular invasion

BACKGROUND

Hepatocellular carcinoma (HCC) presents a significant threat to individuals and healthcare systems due to its high recurrence rate. Accurate prognostic models are essential for improving patient outcomes. Gamma-glutamyl transpeptidase (GGT) and prealbumin (PA) are biomarkers closely related to HCC. This study aimed to investigate the predictive value of the GGT to PA ratio (GPR) and to construct prognostic nomograms for HCC patients without microvascular invasion.

METHODS

We retrospectively analyzed data from 355 HCC patients who underwent radical hepatectomy at Shengjing Hospital of China Medical University between December 2012 and January 2021. Patients were randomly assigned to a training cohort (n = 267) and a validation cohort (n = 88). The linearity of GPR was assessed using restricted cubic spline (RCS) analysis, and the optimal cut-off value was determined by X-tile. Kaplan-Meier survival curves and log-rank tests were used to investigate the associations between GPR and both progression-free survival (PFS) and overall survival (OS). Cox multivariate regression analysis identified independent risk factors, enabling the construction of nomograms. Time-dependent receiver operating characteristic (ROC) and calibration curves were used to evaluate the accuracy of the nomograms. Decision curve analysis (DCA) assessed the predictive value of the models.

RESULTS

Patients were categorized into GPR-low and GPR-high groups based on a GPR value of 333.33. Significant differences in PFS and OS were observed between the two groups (both P < 0.001). Cox multivariate analysis identified GPR as an independent risk factor for both PFS (OR = 1.80, 95% CI: 1.24-2.60, P = 0.002) and OS (OR = 1.87, 95% CI: 1.07-3.26, P = 0.029). The nomograms demonstrated good predictive performance, with C-index values of 0.69 for PFS and 0.76 for OS. Time-dependent ROC curves and calibration curves revealed the accuracy of the models in both the training and validation cohorts, with DCA results indicating notable clinical value.

CONCLUSIONS

GPR emerged as an independent risk factor for both OS and PFS in HCC patients without microvascular invasion. The nomograms based on GPR demonstrated relatively robust predictive efficiency for prognosis.

lncRNA CERS6-AS1 upregulates the expression of ANLN by sponging miR-424-5p to promote the progression and drug resistance of lung adenocarcinoma

Long non-coding RNAs (lncRNAs) play a crucial role in tumor generation and progression. However, the exact functional significance and underlying molecular mechanism by which lncRNA CERS6-AS1 operates in the context of lung adenocarcinoma (LUAD) remain unknown. We aimed to evaluate the potential role of the CERS6-AS1/miR-424-5p/ANLN axis in the progression of LUAD through bioinformatics and cytobehavioral experiments, and to provide a new insight into the combined treatment of LUAD. Based on the TCGA database, the expression of CERS6-AS1 in pan-cancer was evaluated, and its prognostic performance in LUAD was evaluated by ROC curve, survival curve and COX analysis. In addition, quantification of CERS6-AS1 expression levels in LUAD patients and lung cancer cells using quantitative real-time polymerase chain reaction (RT-qPCR), and further validate the functional significance of CERS6-AS1 in promoting the proliferation, migration, and invasion abilities of lung cancer cells. The competitive endogenous RNA (ceRNA) network was constructed, and miR-424-5p inhibitors were applied to CERS6-AS1 knockdown cells. The potential downstream genes associated with the regulatory axis of CERS6-AS1/miR-424-5p were analyzed by PPI network and gene enrichment analysis (KEGG). Finally, we evaluated the prognostic value of high expression of ANLN in LUAD and its effects on immune cell infiltration, tumor mutation burden, chemotherapy response, and immunotherapy. CERS6-AS1 expression was significantly elevated in both LUAD patients and lung cancer cells. In the CERS6-AS1 knockdown assay, the proliferation, invasion, migration and epithelial-mesenchymal transformation (EMT) of cancer cells were significantly inhibited. Notably, there was a prominent upregulation of miR-424-5p expression in cells where CERS6-AS1 was knocked down. Co-transfection of siRNA and miR-424-5p inhibitors into lung cancer cells restored the restriction on lung cancer cells. Anillin (ANLN) has been identified as a potential target gene for miR-424-5p and as a prognostic and immune biomarker associated with immune cell infiltration and tumor mutational burden in LUAD. Additionally, ANLN impacts the efficacy of chemotherapy and immunotherapy in LUAD patients. This study reveals a novel regulatory mechanism in which CERS6-AS1 may contribute to the progression of LUAD by influencing the expression of ANLN as a competitive sponge for miR-424-5p.

Prognostic Value of Fibrinogen to Prealbumin Ratio (FPR) in Resectable Gastric Cancer

Background

The ratio of fibrinogen to prealbumin (FPR) is associated with the prognosis of many cancers. However, the prognostic significance of FPR in resectable gastric cancer has not been clarified.

Methods

A total of 760 patients with resectable gastric cancer participated in this study. The receiver operating characteristic curve (ROC) was used to calculate the optimal cutoff value of each immunonutrition marker. Univariate and multivariate Cox regression analyses were used to confirm the prognostic value of FPR in patients with gastric cancer and to select appropriate variables for the construction of nomogram.

Results

Utilizing ROC analysis, we calculated the optimal cutoff value for FPR and stratified 760 patients into high and low FPR groups. Subsequent examination revealed notable distinctions in baseline characteristics between these groups. For instance, Patients with higher FPR tend to be older and have more lymph node metastasis. Statistical analysis through the chi-square test confirmed the significance of these differences (P < 0.05). In addition, the results of the multivariate Cox proportional hazards regression analysis indicate that the factors related to OS were age (P = 0.001), T stage (P < 0.001), N stage (P < 0.001), radical resection (P < 0.001), and FPR (P < 0.024). The nomogram is composed of the above five variables. ROC analysis showed that the area under the curve (AUC) of the nomogram was 0.859 (95% CI: 0.831-0.887), and the sensitivity and specificity were 77.4% and 82.1%, respectively.

Conclusion

FPR is a potential marker in patients with resectable gastric cancer. The nomogram based on FPR shows good predictive ability, which is helpful for clinicians to judge the prognosis of patients and choose targeted treatment strategies.

C-reactive protein to albumin ratio predict responses to programmed cell death-1 inhibitors in hepatocellular carcinoma patients

BACKGROUND

Over the years, programmed cell death-1 (PD-1) inhibitors have been routinely used for hepatocellular carcinoma (HCC) treatment and yielded improved survival outcomes. Nonetheless, significant heterogeneity surrounds the outcomes of most studies. Therefore, it is critical to search for biomarkers that predict the efficacy of PD-1 inhibitors in patients with HCC.

AIM

To investigate the role of the C-reactive protein to albumin ratio (CAR) in evaluating the efficacy of PD-1 inhibitors for HCC.

METHODS

The clinical data of 160 patients with HCC treated with PD-1 inhibitors from January 2018 to November 2022 at the First Affiliated Hospital of Guangxi Medical University were retrospectively analyzed.

RESULTS

The optimal cut-off value for CAR based on progression-free survival (PFS) was determined to be 1.20 using x-tile software. Cox proportional risk model was used to determine the factors affecting prognosis. Eastern Cooperative Oncology Group performance status [hazard ratio (HR) = 1.754, 95% confidence interval (95%CI) = 1.045-2.944, P = 0.033], CAR (HR = 2.118, 95%CI = 1.057-4.243, P = 0.034) and tumor number (HR = 2.932, 95%CI = 1.246-6.897, P = 0.014) were independent prognostic factors for overall survival. CAR (HR = 2.730, 95%CI = 1.502-4.961, P = 0.001), tumor number (HR = 1.584, 95%CI = 1.003-2.500, P = 0.048) and neutrophil to lymphocyte ratio (HR = 1.120, 95%CI = 1.022-1.228, P = 0.015) were independent prognostic factors for PFS. Two nomograms were constructed based on independent prognostic factors. The C-index index and calibration plots confirmed that the nomogram is a reliable risk prediction tool. The ROC curve and decision curve analysis confirmed that the nomogram has a good predictive effect as well as a net clinical benefit.

CONCLUSION

Overall, we reveal that the CAR is a potential predictor of short- and long-term prognosis in patients with HCC treated with PD-1 inhibitors. If further verified, CAR-based nomogram may increase the number of markers that predict individualized prognosis.

Prediction of injury localization in preoperative patients with gastrointestinal perforation: a multiomics model analysis

BACKGROUND

The location of gastrointestinal perforation is essential for severity evaluation and optimizing the treatment approach. We aimed to retrospectively analyze the clinical characteristics, laboratory parameters, and imaging features of patients with gastrointestinal perforation and construct a predictive model to distinguish the location of upper and lower gastrointestinal perforation.

METHODS

A total of 367 patients with gastrointestinal perforation admitted to the department of emergency surgery in Fujian Medical University Union Hospital between March 2014 and December 2020 were collected. Patients were randomly divided into training set and test set in a ratio of 7:3 to establish and verify the prediction model by logistic regression. The receiver operating characteristic curve, calibration map, and clinical decision curve were used to evaluate the discrimination, calibration, and clinical applicability of the prediction model, respectively. The multiomics model was validated by stratification analysis in the prediction of severity and prognosis of patients with gastrointestinal perforation.

RESULTS

The following variables were identified as independent predictors in lower gastrointestinal perforation: monocyte absolute value, mean platelet volume, albumin, fibrinogen, pain duration, rebound tenderness, free air in peritoneal cavity by univariate logistic regression analysis and stepwise regression analysis. The area under the receiver operating characteristic curve of the prediction model was 0.886 (95% confidence interval, 0.840-0.933). The calibration curve shows that the prediction accuracy and the calibration ability of the prediction model are effective. Meanwhile, the decision curve results show that the net benefits of the training and test sets are greater than those of the two extreme models as the threshold probability is 20-100%. The multiomics model score can be calculated via nomogram. The higher the stratification of risk score array, the higher the number of transferred patients who were admitted to the intensive care unit (P < 0.001).

CONCLUSION

The developed multiomics model including monocyte absolute value, mean platelet volume, albumin, fibrinogen, pain duration, rebound tenderness, and free air in the peritoneal cavity has good discrimination and calibration. This model can assist surgeons in distinguishing between upper and lower gastrointestinal perforation and to assess the severity of the condition.

The prognostic role of coagulation markers in the progression and metastasis of laryngeal squamous cell carcinoma

BACKGROUND

The application of coagulation-related markers in laryngeal squamous cell carcinoma(LSCC) remains unclear. This study explored the prognostic role of coagulation markers in the progression and metastasis of LSCC.

METHODS

Coagulation markers of patients with LSCC receiving surgery in the Second Affiliated Hospital of Fujian Medical University in China, from January 2013 to May 2022 were retrospectively analyzed and compared with those of contemporary patients with benign laryngeal diseases. The relationship between clinicopathological features of LSCC and coagulation markers was analyzed with the chi-square and rank sum tests. The ROC curve analysis was utilized to evaluate the diagnostic efficacy of seven coagulation markers for LSCC and its different clinicopathological features, and to find the optimal cutoff value of each coagulation marker.

RESULTS

303 patients with LSCC and 533 patients with benign laryngeal diseases were included in the present analysis. Compared to the control group, prothrombin time (PT) (p < 0.001), activated partial thromboplastin time (APTT) (p = 0.001), and Fib (p < 0.001) in patients with LSCC were significantly higher, while mean platelet volume (MPV) (p < 0.001) was significantly shorter. Significant increases were detected in PT (Z = 14.342, p = 0.002), Fib (Z = 25.985, p < 0.001), platelet count (PC) (Z = 12.768, p = 0.005), PCT (Z = 9.178, p = 0.027), MPV (F = 2.948, p = 0.033) in T4 stage. Fib had the highest prognostic value among the seven coagulation markers in different T stages (AUC = 0.676, p < 0.001), N stages (AUC = 0.717, p < 0.001), tumor stage (AUC = 0.665, p < 0.001), differentiation degree (AUC = 0.579, p = 0.022), and neurovascular invasion (AUC = 0.651, p = 0.007). Fib (Z = 25.832, p < 0.001), PC (Z = 23.842, p < 0.001), and PCT (Z = 20.15, p < 0.001) in N1 and N3 stages were significantly higher than in N0 stage. PT (Z = 12.174, p = 0.007), Fib (Z = 23.873, p < 0.001), PC (Z = 17.785, p < 0.001), and PCT (Z = 14.693, p = 0.002) were significantly higher in stage IV than in stage I and II. APTT (Z=-1.983, p = 0.047), Fib (Z=-2.68, p = 0.007), PC (Z=-2.723, p = 0.006), and PCT (Z=-2.592, p = 0.01) increased significantly when the tumor invaded neurovascular tissue.

CONCLUSIONS

Coagulation markers have the potential to act as biomarkers for predicting pathological features of LSCC. The high level of Fib was helpful for the diagnosis of LSCC and the detection of advanced LSCC.

TRIAL REGISTRATION

Not applicable.

The prognostic value of fibrinogen to albumin ratio in malignant tumor patients: A meta-analysis

Background

Recent studies have shown that the fibrinogen to albumin ratio (FAR) is closely related to the prognosis of various cancers. The aim of this systematic review and meta-analysis was to investigate the prognostic value of FAR in malignancies based on the available evidence.

Method

To systematically search the Cochrane Library, Embase, PubMed, Google Scholar, Baidu scholars, CNKI and VIP databases for relevant studies published before April 1, 2022, and to evaluate the fibrinogen-to-albumin ratio (FAR) and survival of patients with malignant tumors through a meta-analysis relationship between the results. Results. This meta-analysis included 19 eligible studies involving 5926 cancer patients. We found that high FAR was associated with poor overall survival (HR=2.25, 95%CI 1.86-2.74, p&lt;0.001), recurrence-free survival (HR=2.29, 95%CI 1.91-2.76, P&lt;0.001), progression-free survival (HR: 2.10, 95%CI 1.58-2.79, p&lt;0.001), disease-free survival (HR=1.52, 95%CI 1.17-1.96, p=0.001), and time to recurrence (HR: 1.555, 95%CI 1.031-2.346, P=0.035) was significantly correlated.

Conclusions

High FAR is significantly associated with poor clinical outcomes in cancer, suggesting that it may be an important predictor of prognosis in patients with malignancies.

The Prognostic Role of Circulating FPR Before Operation in Patients with BCLC A-C Hepatocellular Carcinoma: A Retrospective Cohort Study

Background

This research aimed to comprehensively assess the prognostic role of fibrinogen to prealbumin ratio (FPR) in BCLC A-C HCC patients treated by TACE and RFA.

Methods

The research included 240 patients at stage BCLC A-C treated by TACE and RFA at Beijing Ditan Hospital of Capital Medical University from May 2011 to November 2018.

Results

The results showed that the size of the tumor, vascular invasion, α-foetoprotein, cirrhosis, NLR, LMR, and PLR showed prognostic value in predicting 5-year OS. Besides, FPR (95% confidence interval: 1.006–1.013, hazard ratio: 1.009) was a prognostic factor for the prediction of 5-year OS in HCC.

Conclusion

Our research indicated that FPR was a potential indicator for patients with BCLC A-C hepatocellular carcinoma after treatment of RFA and TACE.