Stratification of Intermediate-risk Non-muscle-invasive Bladder Cancer Patients: Implications for Adjuvant Therapies.


Journal

European urology focus
ISSN: 2405-4569
Titre abrégé: Eur Urol Focus
Pays: Netherlands
ID NLM: 101665661

Informations de publication

Date de publication:
May 2021
Historique:
received: 01 04 2020
revised: 27 04 2020
accepted: 12 05 2020
pubmed: 14 6 2020
medline: 14 4 2022
entrez: 14 6 2020
Statut: ppublish

Résumé

There is an urgent need to provide a risk-stratification tool for intermediate-risk non-muscle-invasive bladder cancer (NMIBC), especially at the time of bacillus Calmette-Guerin (BCG) shortage. To assess whether patients with intermediate-risk NMIBC can be stratified into different risk groups, thereby providing a practical tool for the selection of the optimal adjuvant therapy, based on the individualized risk of disease progression. This was a retrospective analysis of 636 patients with intermediate-risk NMIBC. A multivariable Cox-regression model was built to evaluate the impact of each variable on recurrence and progression to muscle-invasive disease. A Cox-based nomogram to predict patient-specific probability of disease progression was performed, and the decision curve analysis (DCA) was used to evaluate its clinical benefit. Within a median follow-up of 92 mo (interquartile range 56-118), disease recurrence and progression occurred in 346 (54%) and 91 (14%) patients, respectively. On multivariable analysis, age, early recurrence (<12 mo), and tumor size≥3cm were found to be independent predictors of progression. The Harrell C-index of the model for the prediction of progression was 0.75 and exceeded that of the model proposed by the International Bladder Consultation Group. DCA showed superior net benefits for the nomogram compared with the strategies of treating all/none and previous predictive models. Limitations are inherent to the retrospective design. We provided a risk-stratification tool that helps identify individual risk of disease progression in patients with intermediate-risk NMIBC. This tool outperforms standard strategies in the threshold probability range of interest and could help select the optimal intravesical therapy regimen based on the individual risk of disease progression. In this study, we provided a practical tool for risk stratification in patients with intermediate-risk non-muscle-invasive bladder cancer. This tool may help select the most appropriate adjuvant therapy (either bacillus Calmette-Guerin [BCG] or chemotherapy) based on patient and tumor characteristics, thus making a step forward toward the era of personalized medicine.

Sections du résumé

BACKGROUND BACKGROUND
There is an urgent need to provide a risk-stratification tool for intermediate-risk non-muscle-invasive bladder cancer (NMIBC), especially at the time of bacillus Calmette-Guerin (BCG) shortage.
OBJECTIVE OBJECTIVE
To assess whether patients with intermediate-risk NMIBC can be stratified into different risk groups, thereby providing a practical tool for the selection of the optimal adjuvant therapy, based on the individualized risk of disease progression.
DESIGN, SETTING, AND PARTICIPANTS METHODS
This was a retrospective analysis of 636 patients with intermediate-risk NMIBC.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS METHODS
A multivariable Cox-regression model was built to evaluate the impact of each variable on recurrence and progression to muscle-invasive disease. A Cox-based nomogram to predict patient-specific probability of disease progression was performed, and the decision curve analysis (DCA) was used to evaluate its clinical benefit.
RESULTS AND LIMITATIONS CONCLUSIONS
Within a median follow-up of 92 mo (interquartile range 56-118), disease recurrence and progression occurred in 346 (54%) and 91 (14%) patients, respectively. On multivariable analysis, age, early recurrence (<12 mo), and tumor size≥3cm were found to be independent predictors of progression. The Harrell C-index of the model for the prediction of progression was 0.75 and exceeded that of the model proposed by the International Bladder Consultation Group. DCA showed superior net benefits for the nomogram compared with the strategies of treating all/none and previous predictive models. Limitations are inherent to the retrospective design.
CONCLUSIONS CONCLUSIONS
We provided a risk-stratification tool that helps identify individual risk of disease progression in patients with intermediate-risk NMIBC. This tool outperforms standard strategies in the threshold probability range of interest and could help select the optimal intravesical therapy regimen based on the individual risk of disease progression.
PATIENT SUMMARY RESULTS
In this study, we provided a practical tool for risk stratification in patients with intermediate-risk non-muscle-invasive bladder cancer. This tool may help select the most appropriate adjuvant therapy (either bacillus Calmette-Guerin [BCG] or chemotherapy) based on patient and tumor characteristics, thus making a step forward toward the era of personalized medicine.

Identifiants

pubmed: 32532704
pii: S2405-4569(20)30115-2
doi: 10.1016/j.euf.2020.05.004
pii:
doi:

Substances chimiques

Adjuvants, Immunologic 0
BCG Vaccine 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

566-573

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Auteurs

Francesco Soria (F)

Division of Urology, Department of Surgical Sciences, San Giovanni Battista Hospital, University of Studies of Torino, Turin, Italy; Department of Urology, Medical University of Vienna, Vienna, Austria.

David D'Andrea (D)

Department of Urology, Medical University of Vienna, Vienna, Austria.

Mohammad Abufaraj (M)

Department of Urology, Medical University of Vienna, Vienna, Austria; Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman, Jordan.

Marco Moschini (M)

Department of Urology, Medical University of Vienna, Vienna, Austria; Department of Urology, Luzerner Kantonsspital, Luzern, Switzerland; Department of Urology, Urological Research Institute, Vita-Salute University, San Raffaele Scientific Institute, Milan, Italy.

Andrea Giordano (A)

Division of Urology, Department of Surgical Sciences, San Giovanni Battista Hospital, University of Studies of Torino, Turin, Italy.

Kilian M Gust (KM)

Department of Urology, Medical University of Vienna, Vienna, Austria.

Pierre I Karakiewicz (PI)

Division of Urology, University of Montreal Hospital Center, Montreal, Québec, Canada.

Marek Babjuk (M)

Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic.

Paolo Gontero (P)

Division of Urology, Department of Surgical Sciences, San Giovanni Battista Hospital, University of Studies of Torino, Turin, Italy.

Shahrokh F Shariat (SF)

Department of Urology, Medical University of Vienna, Vienna, Austria; Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman, Jordan; Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic; Institute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University, Moscow, Russia; Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Urology, Weill Cornell Medical College, New York, NY, USA. Electronic address: shahrokh.shariat@meduniwien.ac.at.

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Classifications MeSH