Accuracy of the CUETO, EORTC 2016 and EAU 2021 scoring models and risk stratification tables to predict outcomes in high-grade non-muscle-invasive urothelial bladder cancer
Language English Country United States Media print-electronic
Document type Journal Article
PubMed
35851185
DOI
10.1016/j.urolonc.2022.06.008
PII: S1078-1439(22)00227-7
Knihovny.cz E-resources
- Keywords
- BCG, CUETO, EAU, EORTC, Non-muscle-invasive bladder cancer, Recurrence,
- MeSH
- BCG Vaccine therapeutic use MeSH
- Risk Assessment MeSH
- Neoplasm Invasiveness MeSH
- Carcinoma, Transitional Cell * pathology MeSH
- Humans MeSH
- Neoplasm Recurrence, Local pathology MeSH
- Urinary Bladder Neoplasms * pathology MeSH
- Disease Progression MeSH
- Retrospective Studies MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- BCG Vaccine MeSH
PURPOSE: Non-muscle-invasive bladder cancers (NMIBC) constitute 3-quarters of all primary diagnosed bladder tumors. For risk-adapted management of patients with NMIBC, different risk group systems and predictive models have been developed. This study aimed to externally validate EORTC2016, CUETO and novel EAU2021 risk scoring models in a multi-institutional retrospective cohort of patients with high-grade NMIBC who were treated with an adequate BCG immunotherapy. METHODS: The Kaplan-Meier estimates for recurrence-free survival and progression-free survival were performed, predictive abilities were assessed using the concordance index (C-index) and area under the curve (AUC). RESULTS: A total of 1690 patients were included and the median follow-up was 51 months. For the overall cohort, the estimates recurrence-free survival and progression-free survival rates at 5-years were 57.1% and 82.3%, respectively. The CUETO scoring model had poor discrimination for disease recurrence (C-index/AUC for G2 and G3 grade tumors: 0.570/0.493 and 0.559/0.492) and both CUETO (C-index/AUC for G2 and G3 grade tumors: 0.634/0.521 and 0.622/0.525) EAU2021 (c-index/AUC: 0.644/0.522) had poor discrimination for disease progression. CONCLUSION: Both the CUETO and EAU2021 scoring systems were able to successfully stratify risks in our population, but presented poor discriminative value in predicting clinical events. Due to the lack of data, model validation was not possible for EORTC2016. The CUETO and EAU2021 systems overestimated the risk, especially in highest-risk patients. The risk of progression according to EORTC2016 was slightly lower when compared with our population analysis.
2nd Department of Urology Centre of Postgraduate Medical Education Warsaw Poland
Department of Clinical and Experimental Pathology Wrocław Medical University Wrocław Poland
Department of Urology 2nd Faculty of Medicine Charles University Prague Czech Republic
Department of Urology and Neurourology Marien Hospital Herne Ruhr University Bochum Herne Germany
Department of Urology Comprehensive Cancer Center Medical University of Vienna Vienna Austria
Department of Urology Fundaciò Puigvert Autonoma University of Barcelona Barcelona Spain
Department of Urology Hospital Clínico San Carlos Madrid Spain
Department of Urology Hospital Universitario La Paz Madrid Spain
Department of Urology Institut Mutualiste Montsouris and Université Paris Descartes Paris France
Department of Urology IRCCS Humanitas Research Hospital Humanitas University Rozzano Italy
Department of Urology La Croix du Sud Hospital Quint Fonsegrives France
Department of Urology Policlinico Umberto 1 Sapienza University of Rome Rome Italy
Department of Urology Spedali Civili Brescia Italy
Department of Urology Stanford University Medical Center Stanford CA
Department of Urology The Jikei University School of Medicine Tokyo Japan
Department of Urology University Hospital Infanta Sofia Madrid Spain
Department of Urology University Hospitals Leuven Leuven Belgium
Department of Urology Valencian Oncology Institute and Foundation Valencia Spain
Division of Urology Marche Polytechnic University Ancona Italy
Holy Cross Cancer Center in Kielce Kielce Poland
Institute of Public Health Opole University Opole Poland 68 Katowicka Street 45 060 Opole Poland
Section of Pathological Anatomy Marche Polytechnic University United Hospitals Ancona Italy
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