Predictive value of preoperative lymphocyte-to-monocyte ratio on survival outcomes in bladder cancer patients after radical cystectomy

Pretreatment PLR Is Preferable to NLR and LMR as a Predictor in Locally Advanced and Metastatic Bladder Cancer

Background/Aim

Advanced bladder cancer (BC) is associated with an inflammatory nature and poor prognosis Inflammatory biomarkers are potential predictors in BC. We conducted a study to assess the prognostic value of the pretreatment neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) in advanced bladder cancer.

Patients and Methods

A total of 226-patients with muscle-invasive BC (MIBC) were included. Overall (OS) and progression-free survival were estimated using the Kaplan-Meier method and the log-rank test was used for comparison. Univariate and multivariate Cox proportional hazard models were used to determine NLR, PLR, and LMR association with OS.

Results

Our patients' median progression-free survival and OS were 12.18 and 15.54 months, respectively. Receiver operating characteristic analysis revealed cut-off values for our chosen inflammatory markers. The patients with high NLR or PLR had inferior median OS compared to their counterparts with lower ratios for both (NLR: 22.51 vs. 9.84 months, respectively, p≤0.001; PLR: 17.68 vs. 14.08 months, respectively, p=0.08). Meanwhile, patients with low LMR had inferior median OS compared to patients with higher LMR (LMR: 20.14 months vs. 10.55 months, respectively, p<0.001). The multivariate Cox regression analysis identified a high PLR as an independent predictive factor of worse OS (hazard ratio=2.774, 95% confidence interval=1.486-5.178, p=0.001) but not NLR or LMR.

Conclusion

PLR, C-reactive protein-to-albumin ratio, and serum LDH levels, but not NLR and LMR, may function as independent predictors in patients with advanced BC prior to systemic treatment.

Controlling Nutritional Status (CONUT) as a Novel Postoperative Prognostic Marker in Breast Cancer Patients: A Retrospective Study

PURPOSE

This investigation seeks to elucidate the potential prognostic significance as well as the clinical utility of the controlling nutritional status (CONUT) score in breast cancer patients.

METHODS

Breast cancer patients managed in our center between January 2010 and December 2016 were recruited for our study. They comprised 187 patients who did not undergo neoadjuvant chemotherapy and 194 who did. A receiver operating characteristic curve (ROC) was utilized in identifying the ideal cut-off CONUT value. This cut-off score was then used to reclassify patients into those with high CONUT scores (≥1) and low CONUT scores (<1). The outcomes were analyzed by statistical methods.

RESULTS

Univariate and multivariate Cox regression survival analyses revealed that a CONUT score cut-off of 1 was able to significantly predict duration of disease-free survival (DFS) (p < 0.001; hazard ratio [HR]: 3.184; 95% CI: 1.786-5.677; and p < 0.001; HR: 2.465; 95% CI: 1.642-3.700) and overall survival (OS) (p < 0.001; HR: 2.326; 95% CI: 1.578-3.429; and p < 0.001; HR: 2.775; 95% CI: 1.791-4.300). The mean DFS and OS in those with lower CONUT scores were 41.59 (95% CI: 37.66-45.51 months) and 77.34 months (95% CI: 71.79-82.90 months), respectively. On the other hand, the average DFS and OS for all individuals in the raised CONUT score group were 39.18 (95% CI: 34.41-43.95 months) and 71.30 months (95% CI: 65.47-77.12 months), respectively. Moreover, Kaplan-Meier survival analysis revealed that those in the raised CONUT score cohort had remarkably worse DFS and OS survival rates compared to individuals in the low CONUT score cohort (Log-rank test, DFS: χ 2 = 12.900, p = 0.0003, and OS: χ 2 = 16.270, p < 0.0001).

CONCLUSION

The survival times of breast cancer patients may be reliably predicted using the CONUT score. This score is an easy, convenient, readily accessible, and clinically significant means of prognosticating patients with breast cancer.

Predictive biomarkers of response to bacillus Calmette‐Guérin immunotherapy and bacillus Calmette‐Guérin failure for non‐muscle invasive bladder cancer

Within the heterogeneous population of patients with bacillus Calmette‐Guérin failure, there are clear differences in prognosis and therapy with regard to the timeline when bacillus Calmette‐Guérin failure occurred. There are a variety of classifications which include bacillus Calmette‐Guérin refractory disease, relapsing, unresponsive, and intolerant. Further profiling of these patients may help to shed light on other forms of therapy that are less radical. We hereby summarize the different biomarkers that predicts for response to bacillus Calmette‐Guérin immunotherapy and bacillus Calmette‐Guérin failure for non‐muscle invasive bladder cancer.

Preoperative Metabolic Syndrome and HDL-C Level Predict the Prognosis of Patients Following Radical Cystectomy: A Propensity Score Matching Study

Objective

To investigate the prognostic significance of metabolic syndrome (MetS) and its components in patients with bladder cancer (BCa) treated with radical cystectomy (RC).

Methods

A total of 335 BCa patients who underwent RC between 2004 and 2019 at Peking University Third Hospital (PUTH) were analyzed retrospectively. The Kaplan-Meier method with the log-rank test was performed to assess overall survival (OS) and progression-free survival (PFS). Univariate and multivariate Cox proportional hazard models were conducted to identify the prognostic factors of OS and PFS before and after propensity score matching (PSM).

Results

Enrolled patients were allocated into two groups according to the presence or absence of MetS (n=84 MetS vs n=251 non-MetS), and 82 new matched pairs were identified to balance the baseline characteristics after 1:1 PSM. In the Kaplan-Meier analysis, MetS was associated with better OS (P=0.031) than the group without MetS. In addition, a body mass index (BMI) ≥ 25 was associated with better OS (P=0.011) and PFS (P=0.031), while low high-density lipoprotein cholesterol (HDL-C) was associated with worse OS (P=0.033) and PFS (P=0.010). In all patients, multivariate Cox analysis showed that hemoglobin, pathologic tumor stage and lymph node status were identified as independent prognostic factors for both OS and PFS, while age, MetS and HDL-C were independent prognostic factors only for OS. Reproducible results of multivariate analysis can still be observed in propensity matched patients. The results of further subgroup analysis revealed that the association of MetS with increased OS (P=0.043) and BMI ≥25 with increased OS (P=0.015) and PFS (P=0.029) was observed in non-muscle invasive bladder cancer (NMIBC) patients.

Conclusions

MetS was independently associated with better OS in BCa patients after RC, and HDL-C was the only component of MetS that was independently associated with worse OS. MetS and HDL-C may become reliable prognostic biomarkers of OS in BCa patients after RC to provide individualized prognostication and assist in the formulation of clinical treatment strategies.