Combined Plasma Fibrinogen and Neutrophil Lymphocyte Ratio in Ovarian Cancer Prognosis May Play a Role?

Fibrinogen and tumors

Elevated plasma fibrinogen (Fg) levels consistently correlate with an unfavorable prognosis in various tumor patient cohorts. Within the tumor microenvironment, aberrant deposition and expression of Fg have been consistently observed, interacting with multiple cellular receptors and thereby accentuating its role as a regulator of inflammatory processes. Specifically, Fg serves to stimulate and recruit immune cells and pro-inflammatory cytokines, thereby contributing to the promotion of tumor progression. Additionally, Fg and its fragments exhibit dichotomous effects on tumor angiogenesis. Notably, Fg also facilitates tumor migration through both platelet-dependent and platelet-independent mechanisms. Recent studies have illuminated several tumor-related signaling pathways influenced by Fg. This review provides a comprehensive summary of the intricate involvement of Fg in tumor biology, elucidating its multifaceted role and the underlying mechanisms.

Preoperative neutrophil/lymphocyte ratio as prognostic factor in epithelial ovarian cancer

Objectives

To determine if there is an association between the neutrophil to lymphocyte ratio (NLR) and prognosis in patients with epithelial ovarian cancer (EOC) diagnosed and treated in a Spanish population.

Material and methods

Retrospective cohort of patients with epithelial ovarian cancer who had neutrophil and lymphocyte values in complete blood count before the histopathological diagnosis and survival of at least three months, in an intermediate complexity hospital. Convenience sampling. Measured variables included age, menopausal stage, parity, International Federation of Gynecology and Obstetrics (FIGO) stage, treatment type, residual tumor, lymph node involvement, presence of ascites, cytology, histologic type, differentiation grade, and CA-125 values. Additionally, outcomes, overall survival, disease/progression-free survival were also measured. Bivariate inferential and Cox regression analyses were performed.

Results

Out of 78 candidates, 60 women with EOC were included. Of them, 24 (40%) had a low NLR (≤ 2,9) while 36 (60%) had a high NLR (> 2,9). An association was found between high NLR levels and suboptimal cytoreductive surgery. High NLR ratios were associated with lower overall survival (Hazard ratio (HR): 4.1; 95% CI: 1.4-11.8) and lower 5-year disease-free survival (HR: 2.6; 95% CI: 1.2-5.7).

Conclusions

A plasma neutrophil to lymphocyte ratio of more than 2.9 was associated with poor prognosis in patients with epithelial ovarian cancer in our setting. There is a need to establish the optimal cut-off point and conduct prospective studies with larger patient numbers in order to support this information.

Comprehensive machine learning-based preoperative blood features predict the prognosis for ovarian cancer

PURPOSE

Significant advancements in improving ovarian cancer (OC) outcomes have been limited over the past decade. To predict prognosis and improve outcomes of OC, we plan to develop and validate a robust prognosis signature based on blood features.

METHODS

We screened age and 33 blood features from 331 OC patients. Using ten machine learning algorithms, 88 combinations were generated, from which one was selected to construct a blood risk score (BRS) according to the highest C-index in the test dataset.

RESULTS

Stepcox (both) and Enet (alpha = 0.7) performed the best in the test dataset with a C-index of 0.711. Meanwhile, the low RBS group possessed observably prolonged survival in this model. Compared to traditional prognostic-related features such as age, stage, grade, and CA125, our combined model had the highest AUC values at 3, 5, and 7 years. According to the results of the model, BRS can provide accurate predictions of OC prognosis. BRS was also capable of identifying various prognostic stratifications in different stages and grades. Importantly, developing the nomogram may improve performance by combining BRS and stage.

CONCLUSION

This study provides a valuable combined machine-learning model that can be used for predicting the individualized prognosis of OC patients.

Assessment of Hematological Profiles and Prognostic Role of Hemogram-Derived Novel Markers for Diabetes Mellitus and Its Complications Among Type 2 Diabetes Mellitus Adult Patients Attending Bishoftu General Hospital, Central, Ethiopia: A Comparative Cross-Sectional Study

Background

Diabetes is a chronic metabolic syndrome that is a global public health problem. Studies have used hematological parameters and hemogram-derived markers as predictors of poor glycemic and microvascular complications status in diabetics. However, the tendency to use these parameters is not fully evaluated in our context, and the evidence is inadequate. This study aimed to assess the hematological profiles and prognostic role of hemogram-derived novel markers in diabetes mellitus and its complications among DM patients at Bishoftu General Hospital, Ethiopia.

Methods

A comparative cross-sectional study was conducted among 261 participants from June 15 to August 12, 2022. A systematic random sampling technique was used to select participants. Data were collected using structured questionnaires, physical measurements, checklists, and laboratory tests. Hematological parameters and fasting blood glucose levels were determined from blood using Sysmex-XN550 and Cobas C311 analyzers, respectively. Blood smear was used to check Hematology analyzer output, and to screen participants for malaria parasites. Collected data were entered into Epi-data 3.1 and exported to SPSS-25. Data were analyzed by Chi-square, Mann-Whitney U-test, Kruskal-Wallis test, Post hoc test, and ROC curve. A P-value <0.05 was considered statistically significant.

Results

Total WBC, neutrophils, Monocyte, NLR, MLR, MPVLR, and PLR were significantly higher in poor glycemic and complicated T2DM; meanwhile, measured RBC parameters, RBC indices values were significantly lower in poor glycemic and complicated T2DM. The NLR, MLR, MPVLR, PLR, and NLR, MLR, MPVLR, RPR values were identified as predictors of poor glycemic and complication status in diabetic patients, respectively.

Conclusion

Significant increment of some hematological parameters and hemogram-derived markers, and their role in predicting poor glycemic and microvascular complications were identified in diabetic patients. Routine screening of hematological parameters and use of hemogram-derived markers for monitoring of altered health status in DM is very important in the improvement of patient quality of life.

Prognostic analysis of the plasma fibrinogen combined with neutrophil-to-lymphocyte ratio in patients with non-small cell lung cancer after radical resection

BACKGROUND

To investigate the correlation between the fibrinogen combined with neutrophil-to-lymphocyte ratio (F-NLR) and the clinicopathologic features of non-small cell lung cancer (NSCLC) patients who underwent radical resection.

METHODS

This study reviewed the medical records of 289 patients with NSCLC who underwent radical resection. The patients were stratified into three groups based on F-NLR as follows: patients with low NLR and fibrinogen were group A, patients with high NLR or fibrinogen were group B, and patients with high NLR and fibrinogen were group C. Receiver operating characteristic curve and Youden index were used to determine the cutoff value of the NLR and fibrinogen. Survival curves were described by Kaplan-Meier method and compared by log-rank test. The univariate and multivariate analyses were performed with the Cox proportional hazard model to identify the prognostic factors.

RESULTS

A value of 3.19 was taken as the optimal cutoff value of NLR in this study. A value of 309 was used as the optimal cutoff value of fibrinogen. Cox multivariate analysis showed that tumor, nodes, metastasis (TNM) stage and F-NLR were independent prognostic factors affecting the survival rate of patients. The first-, third-, and fifth-year survival rates in group A were 99.2%, 96.6%, and 95.0%, respectively. The first-, third-, and fifth-year survival rates in group B were 98.4%, 76.6%, and 63.2%, respectively. The first-, third-, and fifth-year survival rates in group C were 91.3%, 41.1%, and 22.8%, respectively. F-NLR was significantly correlated with overall survival in patients with NSCLC (p < 0.001).

CONCLUSIONS

The F-NLR level is markedly related to the prognosis of patients with NSCLC undergoing radical surgery. Therefore, closer attention should be given to patients with NSCLC with a high F-NLR before surgery to provide postoperative adjuvant therapy.

Prognostic Impact of Using Combined Plasma Fibrinogen Level and Neutrophil-to-Lymphocyte Ratio in Resectable Non-small Cell Lung Cancer

BACKGROUND

Both plasma fibrinogen level and neutrophil-to-lymphocyte ratio (NLR) are associated with malignant potential in different cancer types. The current study evaluated the use of combined plasma fibrinogen level and NLR (F-NLR) as a prognostic predictor in patients with non-small cell lung cancer (NSCLC).

METHODS

Data collected from 279 patients with resectable NSCLC were retrospectively reviewed. Patients were divided into three groups based on the F-NLR score: score 2, high fibrinogen level (≥350 mg/dL) and high NLR (≥2.5); score 1, either high fibrinogen level or high NLR; and score 0, neither abnormal. Overall survival (OS) and relapse-free survival (RFS) were evaluated using the Kaplan-Meier method and log-rank test. Cox proportional hazard model was used to assess prognostic factors.

RESULTS

Numbers of patients with F-NLR score of 0, 1, and 2 were 122 (43.7%), 105 (37.6%), and 52 (18.6%), respectively. The F-NLR was found to be significantly associated with age, male sex, heavy smoking history, high pT status and pathological stage, and nonadenocarcinoma. Moreover, the OS and RFS significantly differed according to the F-NLR score (P < 0.001, P = 0.003). A multivariate analysis revealed that a high F-NLR score (≥1) was an independent poor prognostic factor for OS (P = 0.027). In subgroup analyses, an adverse prognostic impact of the F-NLR score on OS was identified regardless of nodal involvement or pathological stage.

CONCLUSIONS

The F-NLR score, which is based on histological inflammation and coagulability, could be a potential prognostic indicator in patients with resectable NSCLC.

A Nomogram Combining MRI Multisequence Radiomics and Clinical Factors for Predicting Recurrence of High-Grade Serous Ovarian Carcinoma

Objective

To develop a combined nomogram based on preoperative multimodal magnetic resonance imaging (mMRI) and clinical information for predicting recurrence in patients with high-grade serous ovarian carcinoma (HGSOC).

Methods

This retrospective study enrolled 141 patients with clinicopathologically confirmed HGSOC, including 65 patients with recurrence and 76 without recurrence. Radiomics features were extracted from the mMRI images (FS-T2WI, DWI, and T1WI+C). L1 regularization-based least absolute shrinkage and selection operator (LASSO) regression was performed to select radiomics features. A multivariate logistic regression analysis was used to build the classification models. A nomogram was established by incorporating clinical risk factors and radiomics Radscores. The area under the curve (AUC) of receiver operating characteristics, accuracy, and calibration curves were assessed to evaluate the performance of classification models and nomograms in discriminating recurrence. Kaplan-Meier survival analysis was used to evaluate the associations between the Radscore or clinical factors and disease-free survival (DFS).

Results

One clinical factor and seven radiomics signatures were ultimately selected to establish the predictive model for this study. The AUCs for identifying recurrence in the training and validation cohorts were 0.76 (0.68, 0.84) and 0.67 (0.53, 0.81) with the clinical model, 0.78 (0.71, 0.86) and 0.74 (0.61, 0.86) with the multiradiomics model, and 0.83 (0.77, 0.90) and 0.78 (0.65, 0.90) with the combined nomogram, respectively. The DFS was significantly shorter in the high-risk group than in the low-risk group.

Conclusion

By incorporating radiomics Radscores and clinical factors, we created a radiomics nomogram to preoperatively identify patients with HGSOC who have a high risk of recurrence, which may serve as a potential tool to guide personalized treatment.

Role of Circulating Biomarkers in Platinum-Resistant Ovarian Cancer

Ovarian cancer (OC) is the second most common cause of death in women with gynecological cancer. Considering the poor prognosis, particularly in the case of platinum-resistant (PtR) disease, a huge effort was made to define new biomarkers able to help physicians in approaching and treating these challenging patients. Currently, most data can be obtained from tumor biopsy samples, but this is not always available and implies a surgical procedure. On the other hand, circulating biomarkers are detected with non-invasive methods, although this might require expensive techniques. Given the fervent hope in their value, here we focused on the most studied circulating biomarkers that could play a role in PtR OC.

Longitudinal Dynamics of Coagulation and Angiogenesis Markers in Cancer Patients During and After Chemotherapy

Hemostatic parameters have been investigated as molecular determinants of tumor progression. To analyze the dynamics of microparticle-associated tissue factor activity (MPTF), tissue factor antigen (TF-Ag), and angiopоietin-2 (ANG-2) in cancer patients before, during, and after active treatment and to explore their potential as biomarkers for metastatic occurrence and death. Blood for the analysis of MPTF, TF-Ag, ANG-2, and conventional hemostatic tests was sampled in 111 patients with various cancers at 4 consecutive visits: before first chemotherapy cycle, after 3 courses, at the sixth course, and 3 months after chemotherapy cessation. Patients were followed up until metastatic progression/death or the end of the study. MPTF did not change during chemotherapy, but increased significantly after treatment cessation. Total TF-Ag and ANG-2 decreased throughout active treatment. Significant drop of their levels was observed 3 months post therapy cessation. Progressive disease was significantly associated with higher pre-chemotherapy TF-Ag and fibrinogen. Elevated baseline levels of fibrinogen were associated with increased risk of shortened progression free survival. Cessation of chemotherapy is associated with significant change of hemostatic parameters. Pre-chemotherapy levels of TF-Ag and fibrinogen may be informative of disease state and prognosis.

Neutrophil-to-lymphocyte ratio and chemotherapy response score as prognostic markers in ovarian cancer patients treated with neoadjuvant chemotherapy

BACKGROUND

Neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) is the recommended approach in patients with advanced epithelial ovarian cancer (EOC). However, most patients eventually relapse despite the initial high response rate to chemotherapy. Neutrophil-to-lymphocyte ratio is a well-known biomarker that reflects severe inflammation, critical illness, and mortality in various diseases. Chemotherapy response score (CRS) and neutrophil-to-lymphocyte ratio (NLR) have been identified as potential biomarkers of platinum resistance and disease prognosis. We retrospectively evaluated 132 patients with stage IIIc or IV ovarian/fallopian tube/primary peritoneal cancer who had received NACT followed by IDS from 01/01/2003 to 31/12/2018. CRS was assessed on omental specimens collected from IDS according to ICCR guidelines.

RESULTS

Median age was 64.57 years (SD: 9.72; range 39.2-87.1). Most ovarian tumors were serous epithelial (90.9%; 120/132). An elevated NLR (defined as > 3) was observed in 72% (95/132) of patients in contrast with 28% (37/132) of patients characterized by low NLR status. Median PFS (mPFS) and median overall survival (mOS) were 13.05 months (95% CI: 11.42-14.67)) and 34.69 months (95% CI: 23.26-46.12) respectively. In univariate analysis, CRS3 score was significantly associated with prolonged mPFS (CRS1/2: 12.79 months vs CRS3: 17.7 months; P = 0.008). CRS score was not associated with mOS (P = 0.876). High NLR was not significantly associated with mPFS (P = 0.128), however it was significantly associated with poor mOS (P = 0.012). In multivariate analysis, only performance of surgery maintained its statistical significance with both PFS (P = 0.001) and OS (P = 0.008).

CONCLUSION

NLR could serve as a useful predictor of OS but not PFS in ovarian cancer patients receiving NACT. In accordance with our previous study, CRS score at omentum was found to be associated with PFS but not OS in ovarian cancer patients treated with NACT and IDS.

Baseline Serum C-Reactive Protein and Plasma Fibrinogen-Based Score in the Prediction of Survival in Glioblastoma

Objective: The present study investigates a score based on baseline C-reactive protein (CRP) and fibrinogen values (FC score) in 173 consecutive glioblastoma (GBM) patients.

Methods: The optimal cut-off value for fibrinogen and CRP was defined as 3.5 g/dl and 3.0 mg/L, respectively, according to previous reports. Patients with elevated CRP and fibrinogen were classified with a score of 2, those with an elevation of only one of these parameters were allocated a score of 1, and those without any abnormalities were assigned a score of 0.

Results: No significant differences in age, gender, tumor area, molecular pathology, physical status, or extent of resection were identified among the three groups defined by this score. Univariate survival analysis demonstrated that a high baseline FC score (≥1) is significantly associated with a shortened overall survival (OS) (HR: 1.52, 95% CI: 1.05–2.20, p = 0.027). A multivariate Cox regression analysis considering age (>65/≤65), extent of resection (GTR/STR), MGMT promoter status (hypermethylated/non-hypermethylated), and FC score (0/≥1) confirmed that an elevated FC score (≥1) is an independent predictor of shortened OS (HR: 1.71, 95% CI: 1.16–2.51, p = 0.006).

Conclusions: The baseline fibrinogen and CRP score thus serves as an independent predictor of OS in GBM. Further investigations of the role of inflammation in the prediction of a prognosis are needed.

A novel diagnostic nomogram based on serological and ultrasound findings for preoperative prediction of malignancy in patients with ovarian masses

OBJECTIVE

To develop a novel diagnostic nomogram model to predict malignancy in patients with ovarian masses.

METHODS

In total, 1277 patients with ovarian masses were retrospectively analyzed. Receiver operating characteristic (ROC) analysis was performed to identify valuable predictive factors. Univariate and multivariate logistic regression analyses were used to identify risk factors for ovarian cancer. Subsequently, a predictive nomogram model was developed. The performance of the nomogram model was assessed by its calibration and discrimination in a validation cohort. Decision curve analysis (DCA) was applied to assess the clinical net benefit of the model.

RESULTS

Overall, 496 patients (38.8%) had ovarian cancer. Eighteen parameters were significantly different between the malignant and benign groups. Five parameters were identified as being most optimal for predicting malignancy, including age, carbohydrate antigen 125, fibrinogen-to-albumin ratio, monocyte-to-lymphocyte ratio, and ultrasound result. These parameters were incorporated to establish a nomogram model, and this model exhibited an area under the ROC curve (AUC) of 0.937 (95% confidence interval [CI], 0.920-0.954). The model was also well calibrated in the validation cohort and showed an AUC of 0.925 (95%CI, 0.896-0.953) at the cut-off point of 0.298. DCA confirmed that the nomogram model achieved the best clinical utility with almost the entire range of threshold probabilities. The model has demonstrated superior efficacy in predicting malignancy compared to currently available models, including the risk of ovarian malignancy algorithm, copenhagen index, and the risk of malignancy index. More importantly, the nomogram established here showed potential value in identification of early-stage ovarian cancer.

CONCLUSION

The cost-effective and easily accessible nomogram model exhibited favorable accuracy for preoperative prediction of malignancy in patients with ovarian masses, even at early stages.

The Prognostic Significance of Combined Pretreatment Fibrinogen and Neutrophil-Lymphocyte Ratio in Various Cancers: A Systematic Review and Meta-Analysis

Purpose

The prognostic value of a new scoring system, termed F-NLR, that combines pretreatment fibrinogen level with neutrophil-lymphocyte ratio has been evaluated in various cancers. However, the results are controversial. The purpose of this study was to comprehensively analyze the prognostic value of F-NLR score in patients with cancers.

Methods

An integrated search of relevant studies was conducted by screening the PubMed and Embase databases. Pooled hazard ratios, with 95% confidence intervals (CIs), for overall survival (OS) and disease-free survival (DFS)/progression-free survival (PFS) were calculated to estimate the prognostic significance of F-NLR score in patients with various tumors. A random effects model was used for comprehensive analysis, and subgroup and meta-regression analyses were used to explore sources of heterogeneity.

Results

Thirteen articles reporting data from of 4747 patients were included in the study. Pooled analysis revealed that high F-NLR score was significantly associated with poor OS (HR = 1.77; 95% CI, 1.51–2.08) and poor DFS/PFS (HR = 1.63; 95% CI, 1.30–2.05). Subgroup and meta-regression analyses did not alter the prognostic role of F-NLR score in OS and DFS/PFS.

Conclusions

Increased F-NLR score is significantly associated with poor prognosis in patients with cancers and can serve as an effective prognostic indicator.

Monocyte-lymphocyte ratio is a valuable predictor for diabetic nephropathy in patients with type 2 diabetes

Diabetic nephropathy (DN) is serious threat to human health. Therefore, early prediction of its occurrence is important. This study aimed to assess the predictive significance of monocyte-lymphocyte ratio (MLR) for DN.A total of 301 patients with type 2 diabetes (T2D), including 212 T2D patients without diabetic-related complications and 99 DN patients, were enrolled. Peripheral white blood cells were measured before treatment to calculate MLR, and the risk factors and predictive significance for T2D and DN were assessed.T2D patients without diabetic-related complications had higher MLR than control patients (P < .01). However, MLR was significantly higher in DN patients than in T2D patients without diabetic-related complications (P < .001). According to MLR quartiles, higher MLR in DN patients was correlated with higher serum creatinine, estimated glomerular filtration rate, and urinary albumin excretion (UAE) levels (P < .01 or P < .001). Furthermore, MLR was positively correlated with UAE level (R = 0.5973; P < .01) and an independent predictor for DN (odds ratio: 7.667; 95% confidence interval [CI]: 3.689-21.312; P < .001). The area under the receiver-operating characteristic (ROC) curve for MLR was 0.874 (95%CI: 0.830-0.918, P < .001). When the optimal cutoff value was 0.23, the sensitivity and specificity of MLR for DN prediction were 0.85 and 0.74, respectively.The present findings suggest that MLR is a powerful independent predictor for DN.

The Prognostic Role of a Combined Fibrinogen and Neutrophil-to-Lymphocyte Ratio Score in Patients with Resectable Hepatocellular Carcinoma: A Retrospective Study

Background

Inflammation and activation of the coagulation cascades have a role in the pathogenesis of malignancy, including hepatocellular carcinoma (HCC). This retrospective study aimed to investigate the prognostic role of the combined fibrinogen and neutrophil-to-lymphocyte ratio (F-NLR) in patients with resectable HCC.

Material/Methods

This retrospective study included 292 patients with HCC who underwent surgical resection. The receiver operating characteristic (ROC) curve was used to determine the cut-off value of preoperative fibrinogen (Fib) levels and the neutrophil-to-lymphocyte ratio (NLR). The. Hyperfibrinogenemia was >3.35 g/L, and an increased NLR was ≥2.47. The F-NLR was calculated for all patients. Kaplan-Meier survival curves, univariate analysis, multivariate analysis, and subgroup analysis were used to identify independent prognostic factors for overall survival (OS) and disease-free survival (DFS). The receiver operating characteristic (ROC) curve analysis of the F-NLR score and OS, according to the Barcelona Clinic Liver Cancer (BCLC) stage, was performed.

Results

Increased F-NLR scores were significantly associated with the presence of tumor thrombus (P=0.001), larger tumor diameter (P<0.001), vascular invasion (P<0.001), and increased BCLC stage (P<0.001). Multivariate analysis showed that the F-NLR score was an independent predictor of OS (P<0.001) and DFS (P=0.002). The prognostic role of F-NLR was significant for BCLC stage 0–I (P=0.004; P<0.001) and BCLC stage II–III (P=0.026; P=0.005) for OS and DFS, respectively.

Conclusions

In patients with resectable HCC, the combined F-NLR score, a new indicator of systemic inflammation, was an independent prognostic indicator.

Prognostic significance of FA score based on plasma fibrinogen and serum albumin in patients with epithelial ovarian cancer

Objective

To evaluate the significance of fibrinogen and albumin (FA) score based on preoperative peripheral blood plasma fibrinogen and serum albumin in the prognosis of patients with epithelial ovarian cancer (EOC).

Methods

Patients' clinicopathological data of 186 cases of EOC were retrospectively collected, and these patients were divided into three groups according to their FA scores (both plasma fibrinogen and serum albumin abnormal were allocated a score of 2; one of them abnormal were allocated a score of 1; neither of them abnormal were allocated a score of 0; optimal cut-off point is taken as the critical point whether the value is abnormal or not). Correlation between FA score in patients with EOC as well as clinicopathological features and overall survival (OS) was analyzed.

Results

(1) Receiver operating characteristic curve showed that the optimal cut-off point of plasma fibrinogen in the preoperative peripheral blood of patients with EOC was 3.63 g/L. The optimal cut-off point for serum albumin level was 42.45 g/L. (2) There was no significant difference in age, tumor size, neutrophil count, lymphocyte count, C reactive protein and preoperative tumor marker CA125 between the three groups (FA score=0, FA score=1, FA score=2) (P>0.05). However, there was statistically significant difference in tumor grade, tumor stage and the presence of lymph node metastasis between different FA scoring groups (P<0.05). (3) Univariate and multivariate analyses showed that tumor size, tumor grade, tumor stage, plasma fibrinogen, serum albumin, FA score and tumor marker CA125 were statistically correlated with OS of EOC patients after surgery (P<0.05). The complex index FA score is superior to the single plasma fibrinogen and serum albumin when it comes to predicting prognosis. (4) FA score can better predict the prognosis of postoperative patients with EOC whose tumor size is ≥6 cm, whose EOC is advanced (stages III-IV) (P=0.0138) and whose tumor stage is medium or high grade (P=0.0005).

Conclusion

FA score is closely related to the clinicopathological characteristics and OS of patients with EOC and is an independent risk factor indicating the prognosis of EOC patients.

Clinical and prognostic significance of combined plasma fibrinogen concentrations and the monocyte-to-lymphocyte ratio in patients with ovarian cancer

Background

Fibrinogen concentrations and the monocyte-to-lymphocyte ratio (FC-MLR) are associated with progression and outcomes of many malignancies. This study aimed to assess the clinical and prognostic significance of the combination of plasma FC-MLR in patients with ovarian cancer.

Methods

A total of 155 patients with epithelial ovarian cancer (EOC) and 102 patients with benign gynecological disease were retrospectively reviewed. The clinical and pathological data of all patients with EOC were analyzed. Plasma fibrinogen concentrations and the white blood cell (WBC) count were measured to calculate the MLR and neutrophil-to-lymphocyte ratio (NLR). Furthermore, the association of fibrinogen concentrations, the MLR, and FC-MLR with tumor stage, lymphatic and venous metastasis, and 5-year survival was assessed. Regression analysis was performed to evaluate the risk factors for progression of EOC. Receiver operating characteristic (ROC) curves were constructed to assess the prognostic power of plasma fibrinogen concentrations, the MLR, and FC-MLR, and to determine the optimal cutoff values of fibrinogen and the MLR. On the basis of the cutoff values, patients with EOC were divided into three groups: no abnormality, either increased, and both increased groups, respectively. The effect of FC-MLR on overall survival was calculated by the Kaplan-Meier method and compared by the log-rank test in the three groups.

Results

Patients with EOC had higher fibrinogen concentrations and a higher MLR than did controls (both P<0.01), and FC-MLR was closely associated with tumor stage and lymphatic and venous metastasis (all P<0.001). Furthermore, FC-MLR was an independent risk factor for progression of EOC (OR =8.985; 95% CI: 4.912-27.166; P<0.001), and patients with high fibrinogen concentrations and a high MLR showed a lower 5-year survival rate (P<0.001).

Conclusions

FC-MLR may be used as a predictor of tumor progression and prognosis for ovarian cancer.

A Cumulative Score Based on Preoperative Neutrophil-Lymphocyte Ratio and Fibrinogen in Predicting Overall Survival of Patients with Glioblastoma Multiforme

OBJECTIVE

We conducted a retrospective analysis to explore the prognostic effect of the cumulative score based on neutrophil-lymphocyte ratio (NLR) and fibrinogen in patients with glioblastoma multiforme (GBM).

METHODS

The clinical data of patients with GBM from January 2014 to December 2017 in our hospital were retrospectively analyzed. X-tile software was used to identify the optimal cutoff points of NLR and fibrinogen in predicting prognosis of GBM. Fibrinogen-NLR (F-NLR) score was calculated as following: fibrinogen >3.4 g/dL and NLR >4.1 was identified as F-NLR score of 2, only 1 abnormal index was defined as F-NLR score of 1, and no abnormal indices were classified as F-NLR score of 0.

RESULTS

A total of 187 patients with primary GBM were enrolled in this study. Of these patients, 116 patients were men and 71 were women, and the mean age was 55 ± 13.55 years. The cutoffs of lymphocyte, NLR, fibrinogen, and platelet-lymphocyte ratio (PLR) identified by X-tile were 1.8 × 10⁹/L, 4.1 × 10⁹/L, 3.4 mg/dL, and 228.6. There were 87 patients with F-NLR score of 0, 50 patients with F-NLR score of 1, and 50 patients with F-NLR score of 2. In the univariate survival analysis, age, lymphocyte count, fibrinogen, NLR, PLR, F-NLR score of 2, chemotherapy, and radiotherapy were significant predictors of overall survival (OS) in patients with GBM (all P < 0.05). After excluding related parameters, F-NLR score of 2 (hazard ratio [HR], 2.103; 95% confidence interval [CI], 1.401-3.155; P < 0.001) and chemotherapy (HR, 0.650; 95% CI, 0.432-0.977; P = 0.038) were predictive factors of OS for patients with GBM. When stratified by extent of resection, age, and adjuvant chemotherapy and radiotherapy, F-NLR score maintained the prognostic value in patients with GBM (all P < 0.05).

CONCLUSIONS

F-NLR score of 2 was a risk predictor of prognosis for patients with GBM.

Prognostic significance of inflammatory-related parameters in patients with anal canal cancer

PURPOSE

To investigate the correlation between inflammatory-related parameters and overall survival (OS) and disease-free survival (DFS) in anal canal cancer population.

METHODS AND MATERIALS

Patients diagnosed with anal canal carcinoma and treated with curative intent chemoradiotherapy (CRT) were included. Data about pre-treatment complete blood count were collected. Neutrophil to lymphocyte ratio (NLR), fibrinogen (F), and a combination of these (F-NLR score) were correlated with OS.

RESULTS

A total of 58 patients were enrolled. In multivariate analysis, the strongest OS prognostic factor was NLR, with a hazard ratio (HR) for low NLR compared to high NLR of 1.30 (95% confidence interval 1.01-14.12). Kaplan-Meier survival analysis showed that patients with high NLR, F, and F-NLR had significantly shorter OS and DFS.

CONCLUSION

To our knowledge, this is the first study providing evidence that elevated pre-treatment NLR, F, and F-NLR score significantly correlate with worse survival outcomes in patients with anal canal carcinoma. In view of our findings, future clinical trials in anal canal cancer patients are warranted to verify our results.

First-line treatment of women with advanced ovarian cancer: focus on bevacizumab

Ovarian cancer is the fifth most common cause of cancer death in women in Europe. Despite the progress, almost 70% of the patients relapse. The standard treatment is cytoreductive surgery followed by platinumtaxane chemotherapy; in patients with a disseminated disease, one option is neoadjuvant chemotherapy with delayed surgery (ie, interval debulking surgery). The most important change in the last decades involved the schedule treatment and the addition of new drugs to first-line therapy. Because of the pathogenetic role of angiogenesis in solid-tumor growth and metastasis, research has been concentrated on anti-angiogenetic drug. Bevacizumab, the most promising anti-angiogenetic drug, is a humanized monoclonal IgG antibody that targets vascular endothelial growth factor receptor. It was approved on December 23, 2011 by the European Medicines Agency and on June 13, 2018 by the Food and Drug administration as first-line treatment in epithelial ovarian, fallopian tube, or primary peritoneal cancer stage III or IV in combination with carboplatin and paclitaxel. There are still some doubts, regarding the schedule, dosage, duration of the treatment, safety, and tolerability, both in first-line and in neoadjuvant chemotherapy treatments. This review tries to answer clinical practice questions and summarizes the evidence from Phase III studies, emerging data, and ongoing trials.

Lymphopenia after induction chemotherapy correlates with incomplete surgical resection in patients with advanced ovarian cancer

BACKGROUND

Lymphopenia is associated with poor outcomes in patients with various cancers, but little is known about the prognostic impact of lymphopenia in patients with epithelial ovarian cancer (EOC) after induction chemotherapy (IC). This study investigated the prognostic significance of pre- and post-IC lymphopenia in patients with advanced EOC.

METHODS

We reviewed medical records of 68 patients with stage III/IV ovarian, fallopian tube, or peritoneal cancer treated with IC at our institution between 2009 and 2017. We assessed the associations of pre- and post-IC inflammatory markers, including lymphocyte counts, with several oncological outcomes, such as the implementation of interval debulking surgery (IDS), complete resection, progression-free survival (PFS), and overall survival (OS).

RESULTS

Lymphocyte counts increased significantly post-IC compared with the pre-IC values (P = 0.009). Pre-IC lymphopenia was observed in 27 patients (40%), whereas only 16 patients (24%) displayed lymphopenia post-IC (P = 0.020). Among several inflammatory markers, only post-IC lymphopenia was significantly associated with incomplete resection outcome during IDS (P = 0.012). Moreover, post-IC lymphopenia was significantly associated with poor PFS (log-rank test, P = 0.009), whereas pre-IC lymphopenia was associated with neither PFS nor OS.

CONCLUSIONS

Post-IC lymphopenia may predict incomplete resection during IDS and poor prognosis in patients with advanced EOC.