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Selected Publication:
SHR Neuro Cancer Cardio Lipid Metab Microb
Stoll, AK; Koll, FJ; Eckstein, M; Reis, H; Flinner, N; Wild, PJ; Triesch, J.
[Histomolecular classification of urothelial carcinoma of the urinary bladder : From histological phenotype to genotype and back].
Pathologie (Heidelb). 2024; 45(2): 106-114.
Doi: 10.1007/s00292-024-01305-w
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- Co-authors Med Uni Graz
- Koll Florestan Johannes
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- 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.
- Find related publications in this database (using NLM MeSH Indexing)
- Humans - administration & dosage
- Urinary Bladder Neoplasms - genetics
- Carcinoma, Transitional Cell - genetics
- Urinary Bladder - pathology
- Artificial Intelligence - administration & dosage
- Biomarkers, Tumor - genetics
- Phenotype - administration & dosage
- Genotype - administration & dosage
- Find related publications in this database (Keywords)
- Urothelkarzinom
- K & uuml
- stliche Intelligenz
- Molekulare Subtypen
- Molekulare Heterogenit & auml
- The Cancer Genome Atlas
- Urothelial carcinoma
- Artificial intelligence
- Molecular subtypes
- Molecular heterogeneity