The Prognostic Value of Pretreatment Plasma Fibrinogen in Urological Cancers: A Systematic Review and Meta-analysis

Blood-, Tissue- and Urine-Based Prognostic Biomarkers of Upper Tract Urothelial Carcinoma

Upper tract urothelial carcinoma (UTUC) is a rare but aggressive neoplasm. Currently, there are few reliable and widely used prognostic biomarkers of this disease. The purpose of this study was to assess the prognostic value of blood-, tissue- and urine-based biomarkers in patients with UTUC. A comprehensive literature search was conducted using the PubMed, Cochrane and Embase databases. Case reports, editorials and non-peer-reviewed literature were excluded from the analysis. As a result, 94 articles were included in this review. We evaluated the impact of 22 blood-based, 13 tissue-based and 4 urine-based biomarkers and their influence on survival outcomes. The neutrophil-lymphocyte ratio, albumin, C-reactive protein, De Ritis ratio, renal function and fibrinogen, which are currently mentioned in the European Association of Urology (EAU) guidelines, are well researched and most probably allow for a reliable prognosis estimate. However, our review highlights a number of other promising biomarkers that could potentially predict oncological outcomes in patients with UTUC. Nonetheless, the clinical value of some prognostic factors remains uncertain due to the lack of comprehensive studies.

The prognostic value of preoperative plasma fibrinogen in Asian patients with urothelial cancer: a systematic review and meta-analysis

Objective

We conducted this meta-analysis to comprehensively explore the prognostic value of the preoperative plasma fibrinogen in Asian patients diagnosed with urothelial cancer (UC).

Methods

After a systematic search of Web of Science, PubMed, and Embase before May 2024, we included 10 studies in our meta-analysis. The hazard ratios (HRs) with 95% confidence interval (CI) for overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS), and progression free survival (PFS) were estimated using fixed effect model.

Results

This meta-analysis included a total of 2875 patients. UC patients with an elevated preoperative plasma fibrinogen had worse OS (pooled HR: 2.13, 95% CI: 1.81-2.51; P<0.001), CSS (pooled HR: 2.22, 95% CI: 1.83-2.70; P<0.001), RFS (pooled HR: 1.90, 95% CI: 1.59-2.27; P<0.001), and PFS (pooled HR: 2.12, 95% CI: 1.36-3.29, P=0.001). No significant heterogeneity or publication bias was found. Additionally, statistically significant pooled HRs were also calculated in subgroup analysis when stratified by cancer type, country, and cut-off value.

Conclusions

The presence of elevated preoperative plasma fibrinogen levels is significantly correlated with unfavorable tumor outcomes in UCs.

Peripheral Coagulation Parameters and Prostate Cancer Association: A Retrospective Study and Mendelian Randomization

Background

The limitations of prostate-specific antigen (PSA) in diagnosing prostate cancer (PCa) necessitate the exploration of novel biomarkers. Recent studies suggest a potential link between coagulation markers, particularly fibrinogen and D-dimer, and PCa.

Methods

A retrospective single-center analysis on 466 biopsy-undergone patients was conducted, categorized into PCa and benign prostatic hyperplasia (BPH) groups. Baseline and coagulation parameter levels were analyzed. Utilizing a Mendelian randomization (MR) approach, we investigated the causative relationship between D-dimer and PCa risk.

Results

Individuals with PCa, compared with those with BPH, exhibited significantly higher D-dimer levels (P < .001), total PSA (P < .001), and PSA density (P < .001). Fibrinogen levels did not exhibit significant differences (P = .505). The MR analysis suggested a probable causal link between elevated D-dimer levels and an increased risk of PCa (odds ratio: 1.81, 95% confidence interval: 1.48-2.21, P = 7.4 × 10-9).

Conclusions

This research highlights D-dimer as a potential biomarker for diagnosing PCa, supported by clinical and MR analyses. The study paves the way for future large-scale, multi-center research to corroborate these findings and further explore the relationship between coagulation markers and PCa mechanisms.

Machine learning models to predict systemic inflammatory response syndrome after percutaneous nephrolithotomy

OBJECTIVE

The objective of this study was to develop and evaluate the performance of machine learning models for predicting the possibility of systemic inflammatory response syndrome (SIRS) following percutaneous nephrolithotomy (PCNL).

METHODS

We retrospectively reviewed the clinical data of 337 patients who received PCNL between May 2020 and June 2022. In our study, 80% of the data were used as the training set, and the remaining data were used as the testing set. Separate prediction models based on the six machine learning algorithms were created using the training set. The predictive performance of each machine learning model was determined by the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity and specificity using the testing set. We used coefficients to interpret the contribution of each variable to the predictive performance.

RESULTS

Among the six machine learning algorithms, the support vector machine (SVM) delivered the best performance with accuracy of 0.868, AUC of 0.942 (95% CI 0.890-0.994) in the testing set. Further analysis using the SVM model showed that prealbumin contributed the most to the prediction of the outcome, followed by preoperative urine culture, systemic immune-inflammation (SII), neutrophil to lymphocyte ratio (NLR), staghorn stones, fibrinogen, operation time, preoperative urine white blood cell (WBC), preoperative urea nitrogen, hydronephrosis, stone burden, sex and preoperative lymphocyte count.

CONCLUSION

Machine learning-based prediction models can accurately predict the possibility of SIRS after PCNL in advance by learning patient clinical data, and should be used to guide surgeons in clinical decision-making.

A novel nomogram can predict pathological T3a upstaged from clinical T1a in localized renal cell carcinoma

HYPOTHESIS

Nomogram can be built to predict the pathological T3a upstaging from clinical T1a in patients with localized renal cell carcinoma before surgery.

PURPOSE

Renal cell carcinoma (RCC) patients with clinical T1a (cT1a) disease who are upstaged to pathological T3a (pT3a) have reduced survivals after partial nephrectomy. We aimed to develop a nomogram-based model predicting pT3a upstaging in RCC patients with preoperative cT1a based on multiple preoperative blood indexes and oncological characteristics.

MATERIALS AND METHODS

Between 2010 and 2019, 510 patients with cT1a RCC were individually matched according to pT3a upstaging and pathological T1a (pT1a) at a 1:4 ratio using clinicopathologic features. Least absolute shrinkage and selection operator regression analysis was used to identify the most important risk factor from 40 peripheral blood indicators, and a predictive model was established. Multivariate logistic regression analysis was performed with the screened blood parameters and clinical data to identify significant variables. Harrell's concordance index (C-index) was applied to evaluate the accuracy of the model for predicting pT3a upstaging in patients with cT1a RCC.

RESULTS

Out of 40 blood indexes, the top ranked predictor was fibrinogen (FIB). Age, the ratio of the tumor maximum and minimum diameter (ROD), FIB, and tumor size were all independent risk factors for pT3a upstaging in multivariate analysis. A predictive ARFS model (Age, ROD, FIB, tumor Size) was established, and the C-index was 0.756 (95% CI, 0.681-0.831) and 0.712 (95% CI, 0.638-0.785) in the training and validation cohorts, respectively.

CONCLUSIONS

Older age, higher ROD, increased FIB level, and larger tumor size were independent risk factors for upstaging. The ARFS model has a high prediction efficiency for pT3a upstaging in patients with cT1a RCC.

A Model to Detect Significant Prostate Cancer Integrating Urinary Peptide and Extracellular Vesicle RNA Data

There is a clinical need to improve assessment of biopsy-naïve patients for the presence of clinically significant prostate cancer (PCa). In this study, we investigated whether the robust integration of expression data from urinary extracellular vesicle RNA (EV-RNA) with urine proteomic metabolites can accurately predict PCa biopsy outcome. Urine samples collected within the Movember GAP1 Urine Biomarker study (n = 192) were analysed by both mass spectrometry-based urine-proteomics and NanoString gene-expression analysis (167 gene-probes). Cross-validated LASSO penalised regression and Random Forests identified a combination of clinical and urinary biomarkers for predictive modelling of significant disease (Gleason Score (Gs) ≥ 3 + 4). Four predictive models were developed: ‘MassSpec’ (CE-MS proteomics), ‘EV-RNA’, and ‘SoC’ (standard of care) clinical data models, alongside a fully integrated omics-model, deemed ‘ExoSpec’. ExoSpec (incorporating four gene transcripts, six peptides, and two clinical variables) is the best model for predicting Gs ≥ 3 + 4 at initial biopsy (AUC = 0.83, 95% CI: 0.77−0.88) and is superior to a standard of care (SoC) model utilising clinical data alone (AUC = 0.71, p < 0.001, 1000 resamples). As the ExoSpec Risk Score increases, the likelihood of higher-grade PCa on biopsy is significantly greater (OR = 2.8, 95% CI: 2.1−3.7). The decision curve analyses reveals that ExoSpec provides a net benefit over SoC and could reduce unnecessary biopsies by 30%.

Prognostic Value of Preoperative Albumin-to-Fibrinogen Ratio in Patients with Bladder Cancer

Background: Both nutritional status and coagulation function are closely associated with prognosis in patients with bladder cancer (BC). This study aimed to investigate the prognostic value of albumin-to-fibrinogen ratio (AFR) for BC patients underwent radical cystectomy (RC) or transurethral resection of bladder tumor (TURBT), and develop predictive nomograms based on AFR.

Methods: We retrospectively collected medical records of 358 BC patients who underwent RC or TURBT between January 2012 and December 2018. The whole cohort was divided into the training (215 patients, 60.06%) and validation cohorts (143 patients, 39.94%) based on surgery dates. The training cohort was applied to select characteristics and construct nomograms, while the validation cohort was used to verify the nomograms independently. Endpoints of the current study included overall survival (OS), disease-specific survival (DSS) and disease-free survival (DFS). Prognostic values of AFR and other characteristics were evaluated using univariate and multivariate Cox regression analyses and compared using the concordance-index (C-index). Nomograms for OS, DSS and DFS were constructed based on both-directional stepwise Cox proportional hazards regression analysis and evaluated by the receiver operating characteristic (ROC) curve, the C-index and calibration plot.

Results: In whole cohort, 86 patients (24.02%) were classified into low AFR group and had worse OS (hazard ratio [HR]: 4.079, 95% confidence interval [CI]: 2.085-7.982, P < 0.001), DSS (HR: 3.012, 95% CI: 1.302-6.966, P = 0.010) and DFS (HR: 1.863, 95% CI: 1.204-2.883, P = 0.005) compared to BC patients in high AFR group. Meanwhile, the AFR processed better prognostic power than albumin and fibrinogen, individually. Multivariate Cox analysis indicated that AFR was an independent prognostic factor for OS (HR: 2.601, 95% CI: 1.057-6.395, P = 0.037) and DFS (HR: 1.971, 95% CI: 1.049-3.703, P = 0.035). Novel nomograms, incorporating AFR, tumor grade and tumor multifocality, were constructed and successfully validated for predictions of OS, DSS and DFS in BC.

Conclusions: Preoperative AFR was identified as an independent prognostic predictor for OS and DFS of BC patients underwent surgery. The nomograms incorporating AFR provided accurate predictions for OS, DSS and DFS, which could help urologists in better clinical decision-making.

Combination of preoperative fibrinogen and D-dimer as a prognostic indicator in pancreatic ductal adenocarcinoma patients undergoing R0 resection

BACKGROUND

Patients with malignant tumors frequently exhibit hyperactivation of the coagulation system and secondary increased fibrinolytic activity. Fibrinogen and D-dimer are common indicators that are crucial in the coagulation/fibrinolysis system. Both indicators have been verified to have predictive value in the overall survival (OS) of many patients with solid malignancies.

AIM

To explore the prognostic significance of fibrinogen combined with D-dimer in pancreatic ductal adenocarcinoma (PDAC) patients undergoing radical R0 resection.

METHODS

We retrospectively analyzed the clinical data of 282 patients with PDAC undergoing radical R0 resection in the Cancer Hospital, Chinese Academy of Medical Sciences, between January 2010 and December 2019. The surv_cutpoint function of R language was used to determine the optimal cutoff values of the preoperative fibrinogen concentration and preoperative D-dimer concentration. Enrolled patients were further divided into the any-high group (high preoperative fibrinogen concentration and/or high preoperative D-dimer concentration) and the low-low group (low preoperative fibrinogen and D-dimer concentrations) according to the optimal cutoff values.

RESULTS

The optimal cutoff values of the preoperative fibrinogen concentration and preoperative D-dimer concentration were 3.31 g/L and 0.53 mg/L, respectively. Furthermore, multivariate Cox regression analysis showed that the preoperative fibrinogen concentration (HR: 1.603, 95%CI: 1.201-2.140, P = 0.001) and preoperative D-dimer concentration (HR: 1.355, 95%CI: 1.019-1.801, P = 0.036) exhibited obvious correlations with the OS of PDAC patients undergoing radical R0 resection. A prognostic analysis was further performed based on the subgroup results by using fibrinogen combined with D-dimer. The median OS duration of the low-low group (31.17 mo) was significantly longer than that of the any-high group (15.43 mo). Additionally, multivariate Cox regression analysis revealed that the degree of differentiation (P < 0.001), lymph node metastasis (HR: 0.663, 95%CI: 0.497-0.883, P = 0.005), preoperative CA19-9 level (HR: 1.699, 95%CI: 1.258-2.293, P = 0.001), adjuvant therapy (HR: 1.582, 95%CI: 1.202-2.081, P = 0.001) and preoperative combined grouping (HR: 2.397, 95%CI: 1.723-3.335, P < 0.001) were independent predictors of OS in PDAC patients undergoing radical R0 resection.

CONCLUSION

Preoperative fibrinogen combined with D-dimer plays a predictive role in OS, and low preoperative fibrinogen and D-dimer concentrations can indicate prolonged OS in PDAC patients undergoing radical R0 resection.

Plasma Fibrinogen Predicts the Prognosis of Bladder Cancer Patients After Radical Cystectomy

Background

This study aimed to determine the potential utility of plasma fibrinogen as a prognostic factor in patients with bladder cancer (BCa) after radical cystectomy (RC).

Methods

Patients with BCa who underwent RC from 2014 to 2019 were analyzed retrospectively. The indexes of plasma coagulation and fibrinolysis system factors were collected. Kaplan–Meier survival curves were used to calculate the overall survival (OS) and disease-free survival (DFS). The prognostic value of plasma fibrinogen was analyzed by using Cox regression model, and a nomogram of BCa based on plasma fibrinogen was generated by R software.

Results

Among 145 patients, the optimal cut-off value of plasma fibrinogen was 3.14g/L. High level of plasma fibrinogen was related to the poor prognosis of patients with BCa, and plasma fibrinogen has a more accurate prognostic ability than other plasma coagulation and fibrinolysis system factors. Multivariate Cox regression analysis showed that plasma fibrinogen was an independent predictor of OS (>3.14 vs ≤3.14 HR, 2.58, 95% CI = 1.28–5.23; p = 0.008) and DFS (>3.14 vs ≤3.14 HR, 2.60, 95% CI = 1.20–5.65; p = 0.016), and the nomogram based on plasma fibrinogen had better accuracy and discrimination (area under the curve (AUC): OS = 0.741, DFS = 0.733).

Conclusion

Plasma fibrinogen can be used as an independent predictor of OS and DFS for RC patients, and the nomogram based on plasma fibrinogen was a reliable model for predicting the prognosis after RC.

Oncological impact of inflammatory biomarkers in elderly patients treated with radical cystectomy for urothelial bladder cancer

Objective

To evaluate the impact of preoperative markers of systemic inflammation on complications and oncological outcomes in patients aged ≥75 years treated with radical cystectomy (RC) for urothelial bladder cancer (UBC).

Patients and methods

The clinical data of 694 patients treated with open RC for UBC at our institution between January 2008 and December 2015 were retrospectively reviewed. Patients aged <75 years, with distant metastases, other-than-urothelial histological type, comorbidities that could affect the systemic inflammatory markers, and patients who received neoadjuvant chemotherapy were excluded. Multivariable regression models were built for the prediction of major postoperative surgical complications, disease recurrence, cancer-specific mortality (CSM), and overall mortality (OM).

Results

The median (interquartile range [IQR]) age at surgery was 79 (75–83) years. Major postoperative surgical complications were registered in 41.9% of the patients. The 5-year overall survival, cancer-specific survival and recurrence-free survival rates were 42.4% (95% confidence interval [CI] 34.7–49.9%), 70.3% (95% CI 62.3–76.9%), and 59.8% (95% CI 52.4–66.5), respectively. At multivariable analysis, higher levels of fibrinogen and a modified Glasgow Prognostic Score (mGPS) of 1 and 2 at baseline were independently associated with higher risk of major postoperative complications and of CSM. The inclusion of mGPS and fibrinogen to a standard multivariable model for recurrence and for CSM increased discrimination from 69.4% to 73.0% and from 71.3% to 73.9%, respectively. Preoperative neutrophil-to-lymphocyte ratio of >3 was independently associated with OM (hazard ratio 1.38, 95% CI 1.01–1.77; P = 0.01).

Conclusions

In a cohort of elderly patients with UBC treated with RC, fibrinogen and mGPS appeared to be the most relevant prognostic measurements and increased the accuracy of clinicopathological preoperative models to predict major postoperative complications, disease recurrence and mortality.

Abbreviations

ASA: American Society of Anesthesiologists; CCI: Charlson Comorbidity Index; CIS: carcinoma in situ; CRP: C-reactive protein; CSM: cancer-specific mortality; CSS: cancer-specific survival; ECOG PS: Eastern Cooperative Oncology Group Performance Status; HDL: high-density lipoprotein; (S)HR: (subdistribution) hazard ratio; LND: lymphadenectomy; LVI: lymphovascular invasion; mGPS: modified Glasgow Prognostic Score; NLR: neutrophil-to-lymphocyte ratio; NOC: non-organ-confined; OM: overall mortality; OR: odds ratio; OS: overall survival; RC: radical cystectomy; RNU: radical nephroureterectomy; UBC: urothelial bladder cancer; UTUC: upper urinary tract urothelial carcinoma

Prognostic value of pretreatment plasma fibrinogen in patients with colorectal cancer: A systematic review and meta-analysis

BACKGROUND

Growing evidence showed that high pretreatment plasma fibrinogen could be used as a potential prognostic marker in colorectal cancer (CRC). However, the conclusions were controversial. Therefore, this meta-analysis was conducted to evaluate the prognostic value of pretreatment plasma fibrinogen in patients with CRC.

METHODS

Relevant studies were searched in the databases including PubMed, EMBASE, Web of Science, Cochrane library, and China National Knowledge Infrastructure up until December 10th, 2018. Pooled hazard ratios (HRs) with their 95% confidence intervals (CIs) were used to estimate the effects.

RESULTS

A total of 17 articles with 6863 patients were included in this meta-analysis. The results revealed that elevated pretreatment plasma fibrinogen was significantly associated with both poor overall survival (univariate analysis: HR = 1.69, 95% CI 1.47-1.95, P = .000; multivariate analysis: HR = 1.50, 95% CI 1.28-1.77, P = .000) and poor disease-free survival (univariate analysis: HR = 1.90, 95% CI 1.49-2.41, P = .000; multivariate analysis: HR = 2.08, 95% CI 1.52-2.86, P = .000) in patients with CRC.

CONCLUSIONS

High pretreatment plasma fibrinogen level is significantly associated with worse survival outcomes in CRC patients. Plasma fibrinogen may be used as an effective prognostic marker and potential therapeutic target. Further studies are required to support these results.

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.