Histomolekulare Klassifikation des Urothelkarzinoms der Harnblase: Vom histologischen Phänotyp zum Genotyp und zurück
Stoll AK, Koll FJ, Eckstein M, Reis H, Flinner N, Wild PJ, Triesch J (2024)
Publication Type: Journal article
Publication year: 2024
Journal
Book Volume: 45
Pages Range: 106-114
Journal Issue: 2
DOI: 10.1007/s00292-024-01305-w
Abstract
Background: Of all urothelial carcinomas (UCs), 25% are muscle invasive and associated with a 5-year overall survival rate of 50%. Findings regarding the molecular classification of muscle-invasive urothelial carcinomas (MIUCs) have not yet found their way into clinical practice. Objectives: Prediction of molecular consensus subtypes in MIUCs with artificial intelligence (AI) based on histologic hematoxylin-eosin (HE) sections. Methods: Pathologic review and annotation of The Cancer Genome Atlas (TCGA) Bladder Cancer (BLCA) Cohort (N = 412) and the Dr. Senckenberg Institute of Pathology (SIP) BLCA Cohort (N = 181). An AI model for the prediction of molecular subtypes based on annotated histomorphology was trained. Results: For a five-fold cross-validation with TCGA cases (N = 274), an internal TCGA test set (N = 18) and an external SIP test set (N = 27), we reached mean area under the receiver operating characteristic curve (AUROC) scores of 0.73, 0.8 and 0.75 for the classification of the used molecular subtypes “luminal”, “basal/squamous” and “stroma-rich”. By training on correlations to individual molecular subtypes, rather than training on one subtype assignment per case, the AI prediction of subtypes could be significantly improved. Discussion: Follow-up studies with RNA extraction from various areas of AI-predicted molecular heterogeneity may improve molecular classifications and thereby AI algorithms trained on these classifications.
Authors with CRIS profile
Involved external institutions
Universitätsklinikum Frankfurt am Main (KGU)
Germany (DE)
Frankfurt Institute for Advanced Studies
Germany (DE)
Germany (DE)
Frankfurt Institute for Advanced Studies
Germany (DE)
How to cite
APA:
Stoll, A.K., Koll, F.J., Eckstein, M., Reis, H., Flinner, N., Wild, P.J., & Triesch, J. (2024). Histomolekulare Klassifikation des Urothelkarzinoms der Harnblase: Vom histologischen Phänotyp zum Genotyp und zurück. Die Pathologie, 45(2), 106-114. https://doi.org/10.1007/s00292-024-01305-w
MLA:
Stoll, Alexandra K., et al. "Histomolekulare Klassifikation des Urothelkarzinoms der Harnblase: Vom histologischen Phänotyp zum Genotyp und zurück." Die Pathologie 45.2 (2024): 106-114.
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