Evaluation of the clinical value of hematological parameters in patients with urothelial carcinoma of the bladder

Growth kinetics and predictive factors in renal angiomyolipomas

BACKGROUND

Although renal angiomyolipomas (AMLs) are benign lesions, they can grow and cause serious complications. In this study, we aimed to determine the factors affecting the growth of renal AMLs.

METHOD

Patients followed up for AMLs between January 2014 and January 2024 were screened. By accepting 2.5 mm/year as the limit for a significant growth rate, the patients were divided into two groups: those with and without significant growth. Demographic characteristics, tumor characteristics, and laboratory parameters, platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and aspartate aminotransferase-to-alanine aminotransferase (De Ritis) ratio, were compared between the groups.

RESULTS

The study included a total of 98 patients. Of the entire cohort, 78.6% were women. Significant growth was detected in nine (9.2%) patients. Multivariate analysis revealed that the baseline scan tumor size, PLR, and De Ritis ratio were significant independent predictors of significant AML growth (p = 0.011, p = 0.017, and p = 0.030, respectively). In the receiver operating characteristic curve analysis, the cut-off value of PLR in predicting significant growth was 131.85 (sensitivity: 77.8%, specificity: 73%, area under the curve [AUC] 0754), while the cut-off value of the De Ritis ratio was 1.33 (sensitivity: 66.7%, specificity: 95.8%, AUC 0.721).

CONCLUSION

Tumor size at the time of initial diagnosis, as well as PLR and De Ritis ratio, were found to be independent predictors of AML growth rate. The use of these factors in patient follow-up has the potential to assist clinicians in predicting tumor growth and related complications.

Diagnostic Utility of NLR, PLR and MLR in Early Diagnosis of Gastric Cancer: an Analytical Cross-Sectional Study

PURPOSE

Inflammatory markers such as neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-to-lymphocyte ratio (MLR) are linked with the pathogenesis of gastric cancer (GC). However, the clinical significance of the combination of these markers is unclear. Hence, this study was carried out to determine the individual and combined diagnostic accuracy of NLR, PLR and MLR among patients with GC.

METHODS

In this prospective, cross-sectional study, patients were recruited into three groups, GC, precancerous lesions and age and gender-matched controls. The primary outcome was to determine the diagnostic accuracy of inflammatory markers in the diagnosis of GC. The secondary outcome was to determine the correlation of inflammatory markers with the stage of gastric cancer, nodal involvement and metastasis.

RESULTS

A total of 228 patients, 76 in each group, were enrolled. The cut-off value of NLR, PLR and MLR were 2.23, 146.8 and 0.26, respectively, for the diagnosis of GC. The diagnostic abilities of NLR, PLR and MLR were significantly high at 79, 75 and 68.4, respectively, to predict GC compared to precancerous and control groups. All the models of inflammatory markers showed excellent discrimination between GC and the controls with an AUC > 0.7. The models also showed acceptable discrimination between GC and the precancerous lesion group with AUC between 0.65 and 0.70. No significant difference was found in correlating inflammatory markers with clinicopathological features.

CONCLUSION

The discrimination capacity of the inflammatory markers could be used as screening biomarkers in diagnosing GC, even in its early stages.

Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms

Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related deaths in women. Despite several limitations, histopathological information about the malignancy is used for the classification of cancer. The objective of our study is to develop a non-invasive breast cancer classification system for the diagnosis of cancer metastases. The anaconda-Jupyter notebook is used to develop various python programming modules for text mining, data processing, and Machine Learning (ML) methods. Utilizing classification model cross-validation criteria, including accuracy, AUC, and ROC, the prediction performance of the ML models is assessed. Welch Unpaired t-test was used to ascertain the statistical significance of the datasets. Text mining framework from the Electronic Medical Records (EMR) made it easier to separate the blood profile data and identify MBC patients. Monocytes revealed a noticeable mean difference between MBC patients as compared to healthy individuals. The accuracy of ML models was dramatically improved by removing outliers from the blood profile data. A Decision Tree (DT) classifier displayed an accuracy of 83% with an AUC of 0.87. Next, we deployed DT classifiers using Flask to create a web application for robust diagnosis of MBC patients. Taken together, we conclude that ML models based on blood profile data may assist physicians in selecting intensive-care MBC patients to enhance the overall survival outcome.

Subacute Toxicity Effects of the Aqueous Shoot Extract of Yushania alpina (K. Schum.) W.C.Lin in Sprague Dawley Rats: An Appraisal of Its Safety in Ethnomedicinal Usage

Plant-based medicines have effectively managed several ailments in humans and animals since prehistoric times. However, the pharmacologic efficacy and safety of many plants currently used in traditional medicine have not been explored empirically, which raises serious public health concerns, derailing further research and their integration into the conventional healthcare system. Despite the longstanding ethnomedicinal usage of Yushania alpina shoot extract to treat inflammation, microbial infections, and diarrhoea, among other diseases, there is insufficient scientific data to appraise its toxicity profile and safety. Accordingly, we investigated the subacute toxicity of the aqueous shoot extract of Y. alpina in Sprague Dawley rats (both sexes) for 28 days based on the Organisation for Economic Cooperation and Development guideline 407. In this study, all the experimental rats treated orally with 40 mg/Kg BW, 200 mg/Kg BW, and 1000 mg/Kg BW of the aqueous shoot extract of Y. alpina remained normal, like the control group rats, and did not show any clinical signs of subacute toxicity, and no morbidity or mortality was recorded. Besides, the weekly body weight gains and the haematological and biochemical parameters of experimental rats orally administered with the studied plant extract at the tested doses and in the control group were comparable (P > 0.05). No pathologic alterations in internal organs were observed following necroscopy. Further, the differences in weights of the liver, kidney, and spleen of experimental rats which were subacutely treated with the studied plant extract and the control rats were insignificant (P > 0.05). Moreover, no histopathological changes were observed in tissue sections of the liver, kidney, and spleen obtained from all the experimental rats. Our findings demonstrate that the aqueous shoot extract of Y. alpina may be safe as it does not elicit subacute toxicity in Sprague Dawley rats. Further toxicological and pharmacological studies using other model animals and in clinical setups are encouraged to fully appraise the efficacy and safety of the studied plant extract.

Preoperative monocyte-to-lymphocyte ratio as a potential predictor of bladder cancer

OBJECTIVES

The aim of this study was to investigate the role of preoperative Monocyte-to-Lymphocyte ratio (MLR) as a potential predictor of bladder cancer (BC).

METHODS

Clinical data of patients who underwent TURBT at our institution between 2017 and 2021 were collected and retrospectively analysed. MLR was obtained from preoperative blood analyses performed within 1 month from hospital admission. The association of MLR with different clinic-pathological features obtained from histological reports was further analysed. Statistical analysis was performed using the Kruskal Wallis test for non-parametric variables, assuming p<0.05 as statistically significant.

RESULTS

510 patients were included in the study (81% males, 19% females), with a mean age of 71.66 ± 11.64 years. Mean MLR was higher in patients with any-type bladder cancer, reporting an MLR of 0.41 ± 0.11 compared to 0.38 ± 0.43 in patients without bladder cancer (p=0.043). In the subsequent comparison among low-grade and high-grade bladder cancer, MLR did not report statistically significant differences, with 0.29 ± 0.12 for low-grade BC and 0.51 ± 0.81 for high-grade BC (p=0.085).

CONCLUSIONS

Our findings reported elevated preoperative MLR should be considered a potential biomarker predicting malignancy for bladder tumours. Furthermore, research are necessary to assess its role in discerning low-grade from high-grade patients.

Predictive Values of the Selected Inflammatory Indexes in Colon Cancer

Purpose

Ample evidence has revealed that the lymphocyte-to-monocyte ratio (LMR), albumin-to-globulin ratio (AGR), and mean platelet volume (MPV) are cancer-related inflammatory markers. The present study aimed to combine these indicators to better assess the progression of colon cancer.

Methods

This retrospective study enrolled 251 patients with colon cancer, 171 patients with benign colon diseases, and 187 healthy control subjects. The receiver operating characteristic curve and area under the curve (AUC) were used to determine the diagnostic values of the selected inflammatory index.

Results

The levels of LMR, AGR, and MPV were decreased in the colon cancer group compared with the healthy control and benign colon disease groups. The LMR, AGR, and MPV were all correlated with tumor size. Moreover, LMR and AGR was associated with lymph node metastasis and clinical stage, AGR was related to distant metastasis. Both the LMR (P = .030) and AGR (P = .005) were negatively correlated with the concentration of carcinoembryonic antigen (CEA). The AUC value of MPV combined with CEA had a good diagnostic ability for distinguishing colon cancer cases (AUC = .950) and patients with benign colon diseases (AUC = .886) from controls. Meanwhile, the combination of LMR or AGR with CEA could enhance larger AUC (.746 for LMR + CEA, .737 for AGR + CEA) than CEA, LMR, or AGR alone in detecting colon cancer from benign colon diseases.

Conclusions

CEA combined with the LMR, AGR, or MPV may be used as better blood-based biomarkers in the progression of colon cancer patients.

Red Blood Cell Distribution Width Is Associated with All-cause Mortality but Not Adverse Cancer-specific Outcomes in Men with Clinically Localized Prostate Cancer Treated with Radical Prostatectomy: Findings Based on a Multicenter Shared Equal Access Regional Cancer Hospital Registry

Background

Recent reports with a small number of patients showed an association of red blood cell distribution width (RDW) with prostate cancer (PCa) progression.

Objective

To investigate whether preoperative RDW can serve as a prognostic marker in patients with PCa undergoing radical prostatectomy (RP) in a large, equal access, and diverse patient cohort.

Design, setting, and participants

Data were retrospectively collected on 4756 men treated with RP at eight Veteran Affairs medical centers within the Shared Equal Access Regional Cancer Hospital (SEARCH) database from 1999 through 2017.

Outcome measurements and statistical analysis

Biochemical recurrence (BCR) was the primary outcome, while metastasis, all-cause mortality (ACM), and prostate cancer–specific mortality (PCSM) were secondary outcomes.

Results and limitations

The mean (standard deviation) age was 62 yr (6.1), and 1589 (33%) men were black. The median (interquartile range) follow-up was 82 mo (46–127). Preoperative RDW either as a continuous variable or when stratified by quartiles was not associated with BCR. Likewise, preoperative RDW was not associated with metastases or PCSM. However, higher RDW was significantly associated with higher ACM, both as a continuous variable (p < 0.001) and when stratified by quartiles in univariable and multivariable models (p < 0.001). RDW was found to be correlated with D’Amico risk classification of PCa. Study limitations include its retrospective nature and lack of data regarding advanced PCa.

Conclusions

Preoperative RDW was not associated with PCa outcomes in men treated with RP but was associated with ACM. While RDW may be a biomarker of overall health, it is not a biomarker for PCa outcomes. These results emphasize the importance of diverse, larger sized studies in genitourinary cancer research.

Patient summary

Prostate cancer includes a wide spectrum of diseases with different genetic, pathological, and oncological behaviors. Red blood cell distribution width is helpful in predicting the overall survival for a localized prostate cancer patient, and hence, it can help inform personalized treatment decisions and operative care.

Prognostic value of preoperative inflammation markers in non-muscle invasive bladder cancer

PURPOSE

To investigate the prediction values of the preoperative neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), mean platelet volume (MPV) and red cell distribution width (RDW) for recurrence and progression of patients with non-muscle invasive bladder cancer (NMIBC).

METHODS

In this prospective study, 94 consecutive patients newly diagnosed with NMIBC between July 2017 and August 2018 were included. The blood samples were collected from patients before transurethral resection of bladder tumour (TURB) and NLR, LMR, PLR, RDW and MPV values were calculated. The effect of these preoperative inflammatory parameters and other clinicopathological parameters on recurrence and progression rates was evaluated. Kaplan-Meier and multivariate Cox regression analyses were performed to identify significant prognostic variables.

RESULTS

The mean follow-up was 11 ± 6.4 months. Recurrence was observed in 35.1% and progression was detected in 7.4% of the patients. NLR was statistically significantly associated with both recurrence (P = .01) and progression (P = .035), whereas LMR was only associated with recurrence (P = .038). In the survival analyses, the relationship between recurrence and LMR was confirmed in both univariate (P = .021) and multivariate (P = .022) analyses. The relationship between NLR and recurrence was confirmed in univariate analysis (P = .019); however; in multivariate analysis, it was found to be statistically insignificant (P = .051).

CONCLUSIONS

LMR might be an easy obtainable, non-invasive and cost-effective method for predicting recurrence of disease in patients with NMIBC.

Immune-inflammatory biomarkers as prognostic factors for immunotherapy in pretreated advanced urinary tract cancer patients: an analysis of the Italian SAUL cohort

Background

Reliable and affordable prognostic and predictive biomarkers for urothelial carcinoma treated with immunotherapy may allow patients' outcome stratification and drive therapeutic options. The SAUL trial investigated the safety and efficacy of atezolizumab in a real-world setting on 1004 patients with locally advanced or metastatic urothelial carcinoma who progressed to one to three prior systemic therapies.

Patients and methods

Using the SAUL Italian cohort of 267 patients, we investigated the prognostic role of neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) and the best performing one of these in combination with programmed death-ligand 1 (PD-L1) with or without lactate dehydrogenase (LDH). Previously reported cut-offs (NLR >3 and NLR >5; SII >1375) in addition to study-defined ones derived from receiver operating characteristic (ROC) analysis were used.

Results

The cut-off values for NLR and SII by the ROC analysis were 3.65 (sensitivity 60.4; specificity 63.0) and 884 (sensitivity 64.4; specificity 67.5), respectively. The median overall survival (OS) was 14.7 months for NLR <3.65 [95% confidence interval (CI) 9.9-not reached (NR)] versus 6.0 months for NLR ≥3.65 (95% CI 3.9-9.4); 14.7 months for SII <884 (95% CI 10.6-NR) versus 6.0 months for SII ≥884 (95% CI 3.7-8.6). The combination of SII, PD-L1, and LDH stratified OS better than SII plus PD-L1 through better identification of patients with intermediate prognosis (77% versus 48%, respectively). Multivariate analyses confirmed significant correlations with OS and progression-free survival for both the SII + PD-L1 + LDH and SII + PD-L1 combinations.

Conclusion

The combination of immune-inflammatory biomarkers based on SII, PD-L1, with or without LDH is a potentially useful and easy-to-assess prognostic tool deserving validation to identify patients who may benefit from immunotherapy alone or alternative therapies.

•

Reliable biomarkers for immunotherapy may assist in treatment decision making and clinical trial design and interpretation.

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Immune-inflammatory biomarkers were investigated for their prognostic role within the Italian SAUL study cohort.

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ROC-based cut-offs were 3.65 for NLR and 884 for SII.

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Both NLR and SII were prognostic with SII performing slightly better than NLR.

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The combination of SII, PD-L1, and LDH stratified OS better than SII + PD-L1; both were independent prognostic factors.

Diagnostic Value of Inflammatory Factors in Pathology of Bladder Cancer Patients

We conducted this study to evaluate the diagnostic value of Inflammatory Factors (IFs) in the pathology of bladder cancer patients. The patients who were diagnosed with urothelial bladder carcinoma (bladder cancer) and underwent surgical treatment in our center from 2014 to 2019 were enrolled. The values of Neutrophil to Lymphocyte Ratio (NLR), derived Neutrophil to Lymphocyte Ratio (dNLR), Platelet to Lymphocyte Ratio (PLR), Lymphocyte to Monocyte Ratio (LMR), Systemic Immune-inflammation Index (SII), and Prognostic Nutritional Index (PNI) were calculated by blood routine test results before operation. After obtaining the postoperative pathology of the patients, the Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) curves was calculated to evaluate the diagnostic value of these IFs in pathology and their corresponding cut-off values. A total of 641 bladder cancer patients were enrolled. The median values of NLR, dNLR, PLR, LMR, SII, and PNI were 6.33, 4.09, 156.47, 2.66, 1114.29, and 51.45, respectively. Grouped patients according to the pathological grade, the NLR, dNLR, PLR, and SII of the high-grade group were significantly higher than those of the low-grade group (P < 0.001, P < 0.001, P < 0.001, and P < 0.001, respectively), while the LMR and PNI were significantly lower than those of the low-grade group (P = 0.003 and P < 0.001). Divided patients into non-muscle invasion group (Tis + Ta + T1) and muscle invasion group (T2 + T3 + T4), in which NLR, dNLR, PLR, and SII in the muscle invasion group were significantly higher than those in the non-muscle invasion group (P < 0.001, P < 0.001, P < 0.001, and P < 0.001, respectively), while LMR and PNI were significantly lower than those in the low-grade group (P = 0.012 and P < 0.001). ROC curves analyses showed that NLR, dNLR, PLR, LMR, SII, and PNI had predictive value for pathological grade (P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, and P < 0.001, respectively) and muscle invasion (P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, P < 0.001, and P < 0.001, respectively). The results suggest the higher NLR, dNLR, PLR, SII, and lower LMR and PNI are associated with higher risk of high-grade and muscle invasive disease. However, this conclusion needs to be further clarified in the future.

Red Cell Distribution Width as a Predictor of Malignancy in Patients Who Underwent Upper Gastrointestinal System Endoscopy

Introduction

Red cell distribution width (RDW) has predictive properties in different benign and malignant diseases.

Aim

Our aim was to evaluate the predictive value of RDW for malignant gastric lesions by upper gastrointestinal screening.

Materials and Methods

Data of 91 male patients (Group A) who underwent upper gastrointestinal endoscopy and subsequent surgery for gastric malignancy and age-matched 91 healthy male patients (Group B) with benign disorders were reviewed in this retrospective cohort study. The pathology reports, laboratory parameters, and demographics of the patients were recorded for comparison. Receiver operating characteristic curves were plotted for RDW, and a threshold for prediction of malignancy was calculated.

Results

The average age of the patients with gastric cancer was 62 (interquartile range [IQR]: 53-70) years. The difference in RDW levels between Group A and Group B was found to be significant: 14.40% (IQR: 13.40-16.40) versus 13.10% (IQR: 12.55-13.50) for the malignant and benign groups, respectively, P = 0.000. The area under the curve was 0.81 (95% confidence interval [CI]: 0.76-0.86), P = 0.000. For the threshold of 13.45%, the positive predictive value (PPV) for malignancy was found to be 69.15 (95% CI: 61.77-75.67) and negative predictive value (NPV) was 70.45 (95% CI: 62.60-77.26).

Conclusion

RDW was found to have a PPV for malignancy in nearly two-thirds of the patients and had a similar NPV.

Red cell distribution width predicts time to recurrence in patients with primary non-muscle-invasive bladder cancer and improves the accuracy of the EORTC scoring system

PURPOSE

To investigate the clinical prognostic value of red cell distribution width (RDW) in patients with non-muscle-invasive bladder cancer (NMIBC).

MATERIALS AND METHODS

We retrospectively evaluated 582 consecutive patients with primary NMIBC. The efficacy of preoperative RDW at predicting treatment outcome was assessed. A cut-off point for predicting recurrence was also identified. Uni- and multivariable analyses of time to recurrence (TTR) and progression were conducted. Harrell's concordance index (c-index) was used to evaluate the additive value of RDW to the European Organization of Research and Treatment of Cancer (EORTC) risk scoring model for recurrence.

RESULTS

According to the receiver operating characteristic curve of RDW for recurrence, a RDW ≥ 14.5% was classified as high. In the multivariable analysis, a high RDW could independently predict shorter TTR (subdistribution hazard ratio [SHR]: 2.65, 95% confidence interval [CI]: 1.83-3.84, P < 0.001), irrespective of tumor characteristics. No significant relationship was observed between RDW and time to progression (SHR: 1.75, 95% CI: 0.76-4.08, P = 0.19). Adding binary-coded RDW to the EORTC risk scoring model significantly improved its discriminatory performance in assessing recurrence risk (c-index: 0.62, improvement: 0.052, P < 0.001). High RDW was associated with shorter TTR in patients treated with bacillus Calmette-Guerin in the multivariable analysis (SHR: 2.0, 95% CI: 1.01-3.98, P = 0.047).

CONCLUSIONS

RDW was an independent, significant prognostic factor of TTR in patients with primary NMIBC. Adding RDW to the EORTC risk model significantly improved the model's predictability for tumor recurrence.

Development and Validation of a Novel Recurrence Risk Stratification for Initial Non-Muscle Invasive Bladder Cancer in the Han Chinese Population

Background: Some classification models for determining the risk of recurrence after transurethral resection of bladder tumor (TURBT) in patients with non-muscle invasive bladder cancer (NMIBC) had some shortcomings in clinical applications. This study aimed to investigate whether the European Organization for Research and Treatment of Cancer (EORTC) risk stratification was useful to predict the recurrence of NMIBC in the Han Chinese population. In addition, we developed and validated a novel risk stratification method for recurrence prediction of NMIBC.

Methods: Excluding cases who do not meet the inclusion criteria, 606 patients with NMIBC from the First Affiliated Hospital of Zhengzhou University were included in the testing and validation groups. The recurrence-free survival (RFS) curve according to the EORTC risk classifications was calculated by the Kaplan-Meier and the log-rank test methods. Receiver operating characteristic (ROC) curve analysis was used to estimate the diagnosis value for recurrence. We built a logistic regression model for recurrence in NMIBC patients combining the independent recurrence prognostic factors. One external validation group including 166 patients with NMIBC from the Zhongnan Hospital of Wuhan University was also used to assess the logistic regression model.

Results: There was no significant difference in RFS rates between the groups grouped according to EORTC. We constructed a novel risk model to predict recurrence by classifying patients into two groups using ten independent prognostic factors [bladder cancer-specific nuclear matrix protein 4 (BLCA-4), bladder tumour antigen (BTA), nuclear matrix protein 22 (NMP22), carcinoembryonic antigen (CEA), body mass index, smoking, family history of bladder cancer, occupational exposure to aromatic amine chemicals, number of tumours, bladder instillation of chemotherapeutic agents] to predict tumour recurrence based on logistic regression analyses (testing group). According to the novel recurrence risk classification, there was a significant difference in 5-year RFS rates between the low-risk group and the high-risk group (Validation group and the external validation group).

Conclusions: Our novel classification model can be a useful tool to predict recurrence risk in the Han Chinese population with NMIBC.

Prognostic Significance of Preoperative Systemic Cellular Inflammatory Markers in Gliomas: A Systematic Review and Meta-Analysis

Glioma is the most common malignant brain tumor and has high lethality. This tumor generated a robust inflammatory response that results in the deterioration of the disease. However, the prognostic role of systemic cellular inflammatory indicators in gliomas remains controversial. This meta‐analysis aimed to assess the prognostic significance of preoperative neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), red cell distribution width (RDW), and prognostic nutritional index (PNI) in patients with gliomas. Databases of PubMed, EMBASE, Web of Science, and The Cochrane Library were systematically searched for all studies published up to January 2019. Study screening and data extraction followed established Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines. The Newcastle–Ottawa Scale was used to assess the quality of studies. Eighteen studies containing 3,261 patients were included. The analyses showed an increased NLR or RDW was found to be an independent predictor of worse survival in patients with gliomas (hazard ratio (HR): 1.38; 95% confidence interval (CI): 1.09–1.74; P = 0.008; and HR: 1.40; 95% CI: 1.13–1.74; P = 0.002, respectively). Furthermore, a higher PNI indicates a better overall survival (OS; HR: 0.57; 95% CI: 0.42–0.77; P = 0.0002). For the evaluation of PLR and LMR, none of these variables correlated with OS (P = 0.91 and P = 0.21, respectively). Our meta‐analysis indicates the NLR, RDW, and PNI rather than PLR and LMR are the independent index for predicting the OS of gliomas. Pre‐operative NLR, RDW, and PNI can help to evaluate disease progression, optimize treatment, and follow‐up in patients with gliomas.

Comparison of Preoperative Neutrophil-Lymphocyte and Platelet-Lymphocyte Ratios in Bladder Cancer Patients Undergoing Radical Cystectomy

Introduction

Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been proven to be significant prognostic factors in many cancers. We aimed to retrospectively investigate the prognostic value of NLR and PLR in patients with bladder cancer undergoing radical cystectomy.

Materials and Methods

The study comprised patients from 2010 to 2018 who were diagnosed with bladder cancer and received radical cystectomy. Clinical and pathological parameters were collected. Receiver operating characteristic curves of NLR and PLR were plotted for overall survival (OS) and cancer-specific survival (CSS). The best cutoff value of NLR and PLR were determined using X-tile software. The prognostic value of NLR and PLR for OS and CSS was analyzed using the Kaplan-Meier method and Cox regression models.

Results

A total of 223 patients were enrolled with a medium follow-up period of 57 months. Receiver operating characteristic curves showed that PLR was superior to NLR as a prognostic factor in patients with bladder cancer undergoing radical cystectomy. Univariate analysis revealed that NLR (p=0.032 and p=0.041) and PLR (p=0.003 and p=0.003) were significantly associated with both OS and CSS, respectively. Multivariate analysis identified only PLR as independent prognostic factors for OS (p=0.046) and CSS (p=0.039), respectively.

Conclusions

The present findings suggested that compared with NLR, PLR was a superior prognostic factor of OS and CSS in bladder cancer patients indicated to radical cystectomy.

Association of red blood cell distribution width and outcomes in patients with mantle cell lymphoma

Red blood cell distribution width (RDW), which measures the range of variation of red blood cell volume, has been explored as a prognostic factor in multiple types of cancer. However, the role of RDW in mantle cell lymphoma (MCL), a rare type of non-Hodgkin lymphoma with poor outcomes, remains to be determined. Therefore, we investigated the prognostic role of RDW in MCL. We found that 21 of 76 MCL patients (27.6%) had an abnormally elevated RDW (>15.7%). Abnormally elevated RDW was significantly associated with presence of B symptoms (P = 0.0020), elevated lactate dehydrogenase (LDH) (P = 0.0010), higher leukocyte count (P = 0.0345), higher simplified Mantle Cell International Prognostic Index (sMIPI) (P = 0.0194), and lower level of hemoglobin (Hb) (P < 0.0001). It was marginally associated with increased C-reactive protein (P = 0.0862). RDW was significantly correlated with Hb level (r²  = 0.42) and LDH level (r²  = 0.19). 15.8% was determined as the best cutoff of RDW in predicting the survival outcome by the X-tile software. Survival analysis revealed that high RDW (>15.8%) predicted shorter progression-free survival (PFS) (hazards ratio [HR]: 3.14; P = 0.0005) and shorter overall survival (OS) (HR: 4.04; P < 0.0001). High RDW independently predicted both shorter PFS (P = 0.0493) and OS (P = 0.0118). RDW also improved the prognostic stratification based on sMIPI. In conclusion, our study identified RDW as a novel prognostic factor of clinical feasibility in the prognostication of MCL.