Marcus Horstmann

OBJECTIVE: Bladder cancer (BC) has the highest lifetime treatment costs per patient of all cancers. The high recurrence rate and ongoing invasive monitoring requirement are the key contributors to the economic and human toll of this disease. The purpose of this paper was to utilize the recent literature to identify opportunities for improving the benefits and costs of BC care. METHODS: A PubMed search was performed of recent publications concerning (BC) cost-effectiveness. We reviewed studies, reviews, opinion papers and cost-effectiveness analyses, focusing primarily on non-muscle-invasive bladder cancer (Ta/T1; NMIBC). RESULTS: New diagnostic tools such as urine markers may assist in more cost-effectively detecting BC at an earlier stage, however, these markers cannot replace the cystoscopy, which is the current standard of care. A photodynamic diagnostic tool (PDD) using hexylaminolevulinate (Hexvix) enhances tumor visibility and improves transurethral resection of bladder cancer (TURB) results, potentially reducing recurrence rates and lowering treatment costs. While the importance of BC research has been acknowledged, research investment has been continuously reduced during the last 5 years. CONCLUSIONS: The economic burden of BC is well-characterized in the literature. This study suggests that new technologies (i.e., urine-based tests, PDD) and therapeutic regimes (intravesical chemotherapy, adjuvant immunotherapy) have significant potential to improve the diagnosis, treatment and on-going monitoring of BC patients, with potential improvements in clinical outcomes and concurrent cost-savings. A renewed interest and investment in BC research are required to ensure future advancements.

The molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes. Here, we perform an integrative multi-omics analysis of patients diagnosed with NMIBC (n = 834). Transcriptomic analysis identifies four classes (1, 2a, 2b and 3) reflecting tumor biology and disease aggressiveness. Both transcriptome-based subtyping and the level of chromosomal instability provide independent prognostic value beyond established prognostic clinicopathological parameters. High chromosomal instability, p53-pathway disruption and APOBEC-related mutations are significantly associated with transcriptomic class 2a and poor outcome. RNA-derived immune cell infiltration is associated with chromosomally unstable tumors and enriched in class 2b. Spatial proteomics analysis confirms the higher infiltration of class 2b tumors and demonstrates an association between higher immune cell infiltration and lower recurrence rates. Finally, the independent prognostic value of the transcriptomic classes is documented in 1228 validation samples using a single sample classification tool. The classifier provides a framework for biomarker discovery and for optimizing treatment and surveillance in next-generation clinical trials.