Genomic characterization of non-schistosomiasis-related squamous cell carcinoma of the urinary bladder: A retrospective exploratory study.

BACKGROUND: Non-schistosomiasis related-squamous cell carcinoma of urinary bladder (NSR-SCCUB) is a rare tumor subtype distinct from urothelial carcinoma (UC). Studies assessing molecular biomarkers in bladder cancer have generally focused on UC, and genomic data of NSR-SCCUB is limited. We aim to provide additional insight into the molecular underpinnings of this rare entity. METHODS: NSR-SCCUB patients were identified retrospectively at Princess Margaret Cancer Centre between 2002 and 2017. Demographics, disease characteristics, therapeutic approaches, and outcomes were collected. Tissue samples were interrogated using the Oncomine Comprehensive Assay v3 (ThermoFisher). Kaplan-Meier method was used to estimate the disease-free survival and overall survival (OS). RESULTS: Overall, 11 patients with NSR-SCCUB were identified between 2002 and 2017 with adequate tissue samples. Median age was 71 years (45-86), predominantly male (63.6%). At time of diagnosis, 9 patients (81.8%) had muscle-invasive disease, 1 (9.1%) had non-muscle invasive, and 1 (9.1%) had advanced disease. Nine (81.8%) patients had radical cystectomy and pelvic lymph nodes dissection. Eight (72.7%) patients had pT3 or pT4 with N0, and 5 (45.5%) were grade 3. Median OS was 12.5 months (95% CI 7.7-17.2 months). Single nucleotide variants or insertion/deletions were identified in TP53, TERT, PIK3CA, PTEN, CREBBP, FBXW7, and FGFR3. Amplifications were found in CCND1, and EGFR. CONCLUSIONS: NSR-SCCUB has potentially actionable genomic alterations with anticancer agents and many of these aberrations are also seen in UC. The recruitment of NSR-SCCUB patients harboring such mutations should be considered in biomarker driven urinary bladder cancer studies.

The effect of implementing high-intensity intensive care unit staffing model on outcome of critically ill oncology patients.

OBJECTIVE: Implementing high-intensity staffing model improves outcome in general intensive care units (ICUs). We studied the effect of implementing such a model on the outcome of critically ill medical patients in an oncology ICU. DESIGN: We compared admission rates, ICU mortality rates (MRs), 28-day MRs, length of stay (LOS) for patients discharged alive, and bed turnover rates of medical patients admitted to the ICU in the year 2004 (before an intensivist model was established) with those in the years 2006 and 2007 (after the model was established). We allowed for 1 year of transition to implement the changes required including the transformation of the ICU to a closed ICU with daily multidisciplinary rounds led by an intensivist as described in the Leapfrog model. RESULTS: ICU admissions increased from 236 patients (2004) to 388 (2006) and 446 (2007). There was no significant difference in the disease severity of illness when compared by Acute Physiology and Chronic Health Evaluation II scores, 20.6 (before) vs. 20.9 (after) (p = 0.386). ICU MR for the consecutive years decreased from 35.17% (95% confidence interval [CI]: 29.08-41.26) to 23.97% (95% CI: 19.72-28.22) and 22.87% (95% CI: 18.97-26.77), and 28-day MRs decreased from 47.69% (95% CI: 40.68-54.7) to 38.24% (95% CI: 32.91-43.58) and 29.84% (95% CI: 24.79-34.89). LOS (for patients who survived) decreased from a mean of 4.26 days (95% CI: 3.19-5.33) to 2.63 (95% CI: 2.4-2.86) and 2.63 (95% CI: 2.4-2.86). Bed turnover rates increased from 5.0 patient/bed (95% CI: 4.22-5.78) to 6.9 patient/bed (95% CI: 6.04-7.77) and 7.56 patient/bed (95% CI: 6.67-8.44). CONCLUSION: Implementing a high-intensity staffing model is associated with significant improvements in MRs, LOS, and bed utilization of critically ill oncology patients.