Long-term validation of a molecular progression-associated gene classifier for prediction of muscle invasion in primary non-muscle-invasive bladder cancer

Molecular biomarkers of progression in non-muscle-invasive bladder cancer - beyond conventional risk stratification

The global incidence of bladder cancer is more than half a million diagnoses each year. Bladder cancer can be categorized into non-muscle-invasive bladder cancer (NMIBC), which accounts for ~75% of diagnoses, and muscle-invasive bladder cancer (MIBC). Up to 45% of patients with NMIBC develop disease progression to MIBC, which is associated with a poor outcome, highlighting a clinical need to identify these patients. Current risk stratification has a prognostic value, but relies solely on clinicopathological parameters that might not fully capture the complexity of disease progression. Molecular research has led to identification of multiple crucial players involved in NMIBC progression. Identified biomarkers of progression are related to cell cycle, MAPK pathways, apoptosis, tumour microenvironment, chromatin stability and DNA-damage response. However, none of these biomarkers has been prospectively validated. Reported gene signatures of progression do not improve NMIBC risk stratification. Molecular subtypes of NMIBC have improved our understanding of NMIBC progression, but these subtypes are currently unsuitable for clinical implementation owing to a lack of prospective validation, limited predictive value as a result of intratumour subtype heterogeneity, technical challenges, costs and turnaround time. Future steps include the development of consensus molecular NMIBC subtypes that might improve conventional clinicopathological risk stratification. Prospective implementation studies of biomarkers and the design of biomarker-guided clinical trials are required for the integration of molecular biomarkers into clinical practice.

Utility of Image Morphometry in the Atypical Urothelial Cells and High-Grade Urothelial Carcinoma Categories of the Paris System for Reporting Urinary Cytology

Introduction

Urinary cytology (UrCy) is highly sensitive to diagnosing high-grade urothelial carcinoma (HGUC) but cannot predict muscularis propria invasion. Further, the atypical urothelial cell category (AUC) may have variable outcomes. Image morphometry (IM) may be a valuable adjunct technique in this setting. Hence, we evaluated IM in the AUC and HGUC categories to improve the diagnostic performance.

Materials and Methods

The following six nuclear parameters were evaluated by IM on 3150 cells: nucleo-cytoplasmic (N:C) ratio, nuclear area, diameter, perimeter, standard deviation of the nuclear area (SDNA; pleomorphism) and integrated density (ID; nuclear chromasia), using the ImageJ software, in three cohorts based on the histopathology outcome: 20 cases of AUC - benign non-neoplastic outcome (AUC-B); 22 cases of HGUC Muscle invasive (HGUC-MI) and 21 cases of HGUC non-muscle invasive (HGUC-MF).

Results

A retrospective analysis of urine cytology. The patient's ages ranged from 36 to 85 years, with a mean age of 60.6. The male-to-female ratio was 5.4:1. A total of 20 cases of AUC-B and 43 cases of HGUC were selected for IM analysis. HGUC cases had higher nuclear parameters than AUC-B, and HGUC-MI had higher SDNA, ID, diameter, and area than HGUC-MF. SDNA and ID predict muscularis propria invasion in HGUC.

Conclusions

Image morphometry successfully differentiates HGUC cases from benign non-neoplastic ones and might help to identify muscularis propria invasion in HGUC using a combination of nuclear parameters.

Prognostic Implications of Immune-Related Gene Pairs Signatures in Bladder Cancer

Compelling evidence indicates that immune function is correlated with the prognosis of bladder cancer (BC). Here, we aimed to develop a clinically translatable immune-related gene pairs (IRGPs) prognostic signature to estimate the overall survival (OS) of bladder cancer. From the 251 prognostic-related IRGPs, 37 prognostic-related IRGPs were identified using LASSO regression. We identified IRGPs with the potential to be prognostic markers. The established risk scores divided BC patients into high and low risk score groups, and the survival analysis showed that risk score was related to OS in the TCGA-training set (p < 0.001; HR = 7.5 [5.3, 10]). ROC curve analysis showed that the AUC for the 1-year, 3-year, and 5-year follow-up was 0.820, 0.883, and 0.879, respectively. The model was verified in the TCGA-testing set and external dataset GSE13507. Multivariate analysis showed that risk score was an independent prognostic predictor in patients with BC. In addition, significant differences were found in gene mutations, copy number variations, and gene expression levels in patients with BC between the high and low risk score groups. Gene set enrichment analysis showed that, in the high-risk score group, multiple immune-related pathways were inhibited, and multiple mesenchymal phenotype-related pathways were activated. Immune infiltration analysis revealed that immune cells associated with poor prognosis of BC were upregulated in the high-risk score group, whereas immune cells associated with a better prognosis of BC were downregulated in the high-risk score group. Other immunoregulatory genes were also differentially expressed between high and low risk score groups. A 37 IRGPs-based risk score signature is presented in this study. This signature can efficiently classify BC patients into high and low risk score groups. This signature can be exploited to select high-risk BC patients for more targeted treatment.

Instrument-Free Detection of FXYD3 Using Vial-Based Immunosensor for Earlier and Faster Urothelial Carcinoma Diagnosis

The incidence and 5 year recurrence rate of urothelial carcinomas (UCs), including UC of the bladder (UCB) and upper urinary tract UC (UTUC), have increased annually. There is a great need for a simple and fast point-of-care (POC) test for early diagnosis and amelioration in the survival rate. We present a POC test comprising a new vial-immunosensor, nanoenzyme, and iPhone 7 plus, which detects and quantifies the new biomarker FXYD domain-containing ion transport regulator 3 (FXYD3) in human urine for specific UC screening, tumor-grade classification, and postoperative monitoring by the grayscale value of the photograph taken. The performance of the proposed POC test was then verified using urine from 4 healthy people, 40 UCB patients (10 patients were low-grade and 30 patients were high-grade), and 13 UTUC patients (2 patients were low-grade and 11 patients were high-grade), confirming the accuracy and specificity by comparing the results with those obtained by enzyme-linked immunosorbent assay (ELISA). Moreover, we also designed a correction method that can make the grayscale values calculated by different smartphones close to the values calculated by iPhone 7 plus, resulting in the POC test enabling simple, fast, universal, and portable testing, data storage, and sharing for personal UCs screening and postoperative monitoring.

Development and Initial Testing of a Modified UroVysion-Based Fluorescence In Situ Hybridization Score for Prediction of Progression in Bladder Cancer

OBJECTIVES

Our aim was to predict progression of non-muscle-invasive bladder urothelial carcinomas (NMIUCs) into muscle-invasive disease by assessing cytogenetic abnormality of tumors with a new UroVysion scoring system.

METHODS

Seventy-five bladder cancer cases (including 57 NMIUCs) were classified according to the quantitatively assessed degree of UroVysion-detected chromosomal abnormalities into urine fluorescence in situ hybridization score (UFS) groups: UFS I, II, and III. Cox time-to-event, Kaplan-Meier, and C-statistics analyses were performed.

RESULTS

UFS proved to be an independent prognostic factor of progression-free survival (PFS) and time to progression (TTP). NMIUCs with UFS III had a 34.05-fold increased hazard for progression to muscle-invasive cancer (TTP; 95% confidence interval, 5.841-198.5; P < .001) in comparison with UFS I to II cases. The addition of UFS to conventional risk scores increased the C-index for PFS and TTP.

CONCLUSIONS

UFS can indicate an increased risk for progression into muscle-invasive disease in patients with NMIUC and improves prognostic accuracy of the current clinical risk assessment systems.

Biomarkers of aggressiveness in genitourinary tumors with emphasis on kidney, bladder, and prostate cancer

INTRODUCTION

Over the last decade, the improvement in molecular techniques and the acquisition of genomic information has transformed and increased the quality of patient care and our knowledge of diseases. Areas covered: Protein expression levels in immunohistochemistry and molecular biomarkers are reported for their ability to predict recurrence, progression, development of metastases, or patient survival. In particular, for renal cell carcinoma, we take into consideration the biomarkers applicable to immunohistochemistry and with molecular and genetic analyses. In urothelial carcinoma, there is great interest in the possibility of distinguishing the basal vs. luminal subtypes and to acquire deeper insight into the tumor biology through examining exosomes in urine and biomarkers in the serum. In prostate cancer, single gene expression and multiple gene expression classifiers are reviewed as a tool to distinguish indolent vs. aggressive disease. Expert commentary: The genomic information along with the application of ancillary techniques allow the definition of a neoplasia not only by its morphology but also by its biological signature. This continuous increase in knowledge will result in a better comprehension of oncogenesis, development of targeted therapies and optimizing decision-making processes related to patient care.

Molecular Progression Risk Score for Prediction of Muscle Invasion in Primary T1 High-Grade Bladder Cancer

BACKGROUND

Pathologic T1 high-grade (pT1HG) bladder cancer (BC) is characterized by a high progression rate and constitutes an important clinical challenge; however, there is no consensus on the prediction of progression in pT1HG BC. The purpose of this study was to validate previously published molecular progression risk score (MoPRS) for predicting muscle-invasive disease in pT1HG BC.

MATERIALS AND METHODS

The expression of an 8-gene progression-related classifier identified from microarray data was analyzed by real-time PCR, and the MoPRS was calculated in 121 newly recruited patients with pT1HG BC. Progression was defined as muscle invasion or metastasis.

RESULTS

Overall, the disease of 28 patients (23.1%) progressed to muscle-invasive BC during the median follow-up of 63.7 (interquartile range, 17.6-96.4) months. The MoPRS was significantly higher in 1973 World Health Organization grade 3 than grade 2 tumors (P = .004). Early development of invasive BC was more prevalent in the highest quartile MoPRS group than in the lowest to 75th percentile MoPRS groups according to Kaplan-Meier analysis. Multivariate Cox regression analysis revealed that the MoPRS was an independent predictor of invasive BC, either as a continuous variable (hazard ratio, 1.624; 95% confidence interval, 1.266-2.082; P < .001) or as a categorical variable (hazard ratio, 3.089; 95% confidence interval, 1.335-7.150; P = .008).

CONCLUSION

The MoPRS was an independent prognostic factor for identifying patients at high risk of invasive BC in patients with pT1HG BC. This scale may help identify patients who could benefit from more aggressive therapeutic intervention such as early cystectomy.