Search

BACKGROUND: The World Health Organization Classification (WHO) of Urinary and Male Genital Tumors has recently been updated to its 5th edition. The new edition presents a comprehensive approach to the classification of urinary and male genital tumors with an incorporation of morphologic, clinical, and genomic data. OBJECTIVE: This review aims to update the new classification of bladder cancer in the 5th edition and to highlight important changes in nomenclatures, diagnostic criteria, and molecular characterization, as compared to the 4th edition. METHODS: The pathologic classification of bladder cancer in the 5th edition of WHO Classification of Urinary and Male Genital Tumours was compared to that in the 4th edition. PubMed was searched using key words, including bladder cancer, WHO 1973, WHO 1998, WHO 2004, WHO 2016, histology, pathology, genomics, and molecular classification in the time frame from 1973 to August of 2022. Other relevant papers were also consulted, resulting in the selection of 81 papers as references. RESULTS: The binary grading of papillary urothelial carcinoma (UC) is practical, but it may be oversimplified and contribute to “grade migration” in recent years. An arbitrary cutoff (5%) has been proposed for bladder cancers with mixed grades. The diagnosis of papillary urothelial neoplasm with low malignant potential has been dramatically reduced in recent years because of overlapping morphology and treatment with low-grade papillary UC. An inverted growth pattern should be distinguished from true (or destructive) stromal invasion in papillary UC. Several methods have been proposed for pT1 tumor substaging, but it is often challenging to substage pT1 tumors in small biopsy specimens. Bladder UC shows a high tendency for divergent differentiation, leading to several distinct histologic subtypes associated with an aggressive clinical behavior. Molecular classification based on the genomic analysis may be a useful tool in the stratification of patients for optimal treatment. CONCLUSIONS: The 5th edition of WHO Classification of Urinary and Male Genital Tumours has made several significant changes in the classification of bladder cancer. It is important to be aware of these changes and to incorporate them into routine clinical practice.

Two commonly used methods for cyanotoxin analysis are enzyme-linked immunosorbent assay (ELISA) and liquid chromatography-tandem mass spectrometry (LC-MS/MS). Each method has its advantages and disadvantages, and discrepancies are commonly observed between the two methods due to various factors including the ELISA antibody cross-reacting to different cyanotoxin congeners. However, reliable cyanotoxin monitoring methods and accurate interpretation of results are needed for water utilities to guide recreational water planning and drinking water treatment operations. In this study, we explored an innovative "effective concentration-equivalent concentration" (EC-EQ) approach to improve the interpretation of ELISA results and the comparison to LC-MS/MS results. The precision of ELISA results was first improved by reporting the sample ECs and EQs derived from their ELISA dose curves. Concentrations of each cyanotoxin as measured by LC-MS/MS were then combined with their respective ELISA cross-reactivities to calculate their theoretical ELISA responses. Finally, instead of comparing the results from the two methods directly, the equivalent concentration based on one single reference cyanotoxin was used for reporting and comparison. This integrated mass balance-based approach provides a more reliable interpretation of results by considering the reactivity differences between toxins as well as their mixture effects. This approach has been successfully applied to microcystin (one main group of cyanotoxins) standard mixtures and cyanobacterial bloom samples to interpret and compare their ELISA and LC-MS/MS detection results. The study provides guidance to utilities on how to obtain more accurate cyanotoxin monitoring results and better understand the discrepancy between the two methods.

Factors associated with an individual's awareness of vulnerability can be modified by the infrastructure of a city. These factors may impact disaster preparedness among local populations in an infrastructure-resilient city, which further influences the health risks of various population subgroups.This was a population-based study.Four population subgroups, which have previously been reported to be related to awareness of vulnerability (i.e. past experiences, sociodemographic deprivation, poor housing conditions and family medical needs), were analysed for their impacts on disaster preparedness. Validated population-based phone interviews (n = 856) were conducted in Hong Kong. Three types of disaster preparedness were studied: (1) physical preparedness; (2) social preparedness; and (3) education preparedness.Previous experience of social hazards, accidental hazards and epidemics increased disaster preparedness among the local population. Specifically, experiences of accidental hazards and social hazards were positively associated with physical preparedness (odds ratios 1.626, 95% confidence interval [95% CI] 1.215, 2.172) and 1.501 [95% CI 1.114, 2.024], respectively). However, experiences of natural hazards did not increase preparedness, even in Hong Kong, which is a city with high 'disaster resilience' because of its well-developed infrastructure. Moreover, individuals with a low educational level or low income had lower education preparedness, unmarried individuals had lower social preparedness, and poor housing conditions of non-private-housing households had negative associations with education preparedness. These findings partially align with local disaster responses to the 2018 Typhoon Mangkhut, the 2019 social unrest and the 2020 COVID-19 pandemic, all of which were observed after the 2018 survey reported in this study.Social and environmental interventions should be targeted to marginalised subpopulations through location-based community strategies to encourage increased environmental knowledge and participation in disaster preparedness activities.

Bladder cancer (BC) is a heterogeneous disease with prognosis and therapeutic strategies highly dependent on tumor grade and stage. Predictive biomarkers of therapeutic response have been studied to guide selection of intravesical and/or systemic therapy. A predictive biomarker is measured before the start of treatment and provides information on the likelihood of response to a specific therapy. Many candidate predictive biomarkers for BC have been identified, but few have been rigorously validated or distinguished from simply having treatment-agnostic prognostic capacity. Identifying predictive biomarkers tailored to therapeutic mechanism of action has considerable implications for the sequencing of therapies, as well as bladder preservation strategies in advanced disease states. We evaluate predictive tissue-based, urine-based, and serum-based biomarkers across the spectrum of non–muscle-invasive and muscle-invasive BC and preview predictive biomarkers for emerging targeted therapies.

To determine the correlations between four quantitative magnetic resonance imaging (MRI) parameters derived from intravoxel incoherent motion diffusion-weighted images (IVIM DWI) and the semi-quantitative Spondyloarthritis Research Consortium of Canada (SPARCC) score of the sacroiliac joint (SIJ) and five clinical activity indices in patients with axial spondyloarthritis (axSpA).A total of 75 patients with axSpA and complete clinical activity indices and SIJ MRI were enrolled to this prospective study. Univariable and multivariable linear regression analyses were performed to evaluate correlations between MRI parameters and clinical activity indices after controlling for confounders. All data were further analysed using Pearson's correlation coefficients (r).Only pure diffusion coefficient (D) and incoherent perfusion related microcirculation (D∗) were found to be independently positively correlated with several clinical activity indices (all p0.05). Positive correlations were observed between D and the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), the Bath Ankylosing Spondylitis Functional Index (BASFI), Patient Global Assessment (PGA), extent of influence of pain, with r of 0.605, 0.402, 0.319, and 0.485 (all p0.0125). D∗ correlated positively with BASDAI, BASFI, and PGA (r=0.436, 0.356, 0.301, respectively; all p0.0125).D and D∗ derived from IVIM DWI could be associated with some disease activity indices in patients with axSpA; apparent diffusion coefficient (ADC) and SPARCC scores were not correlated with these indices. IVIM DWI may be a useful tool for the quantitative assessment of disease activity in patients with axSpA.