Molecular classification using Lund University algorithm and clinical correlations in muscle-invasive bladder cancer: Insights from a retrospective study

Our findings demonstrate the feasibility of applying the Lund Classification for molecular subtyping of MIBC in routine diagnostics. The consistency in tumor type assignment between TURBT and cystectomy samples further supports the clinical utility of this approach. Tumor types significantly influenced survival outcomes, underscoring its relevance in patient stratification and personalized treatment strategies.

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Publication Details

Journal
Bladder
Published
2024-11-27
DOI
https://doi.org/10.14440/bladder.2024.0031
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Molecular classification using Lund University algorithm and clinical correlations in muscle-invasive bladder cancer: Insights from a retrospective study

Enrico Maria Silini, Sebastiano Buti, Livia Ruffini, Elena Thai et al.
Bladder
Bladder and Urothelial Cancer Treatments
article

Molecular classification using Lund University algorithm and clinical correlations in muscle-invasive bladder cancer: Insights from a retrospective study

Enrico Maria Silini, Sebastiano Buti, Livia Ruffini, Elena Thai, Davide Campobasso, Annalisa Patera, Nicoletta Campanini, Francesco Ziglioli, Umberto Maestroni, Simone Vezzini
article en

Abstract

Our findings demonstrate the feasibility of applying the Lund Classification for molecular subtyping of MIBC in routine diagnostics. The consistency in tumor type assignment between TURBT and cystectomy samples further supports the clinical utility of this approach. Tumor types significantly influenced survival outcomes, underscoring its relevance in patient stratification and personalized treatment strategies.

BladderVol. 11(4)
University of Parma (IT), Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT)
Good health and well-being
Openalex Percentile: Top 60%
Bladder and Urothelial Cancer Treatments
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Molecular classification using Lund University algorithm and clinical correlations in muscle-invasive bladder cancer: Insights from a retrospective study — Enrico Maria Silini, Sebastiano Buti, et al. · Bladder (2024) | TGRS Research Map | TGRS