ArticleCancers2022
Development of a Clinically Applicable NanoString-Based Gene Expression Classifier for Muscle-Invasive Bladder Cancer Molecular Stratification.
Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Immunohistochemistry-Based Molecular Classification of Muscle-Invasive Bladder Urothelial Carcinoma: Survival Trends Across Molecular Subtypes.International journal of molecular sciences · 2026Article
- MTAP protein status is highly concordant with CDKN2A fluorescent in situ hybridization and allows stratification of the luminal subtype in muscle-invasive bladder cancer.Histopathology · 2025Article
- Histological and immunohistochemical approaches to molecular subtyping in muscle-invasive bladder cancer.Frontiers in oncology · 2025Review
- The Role of Immunohistochemistry as a Surrogate Marker in Molecular Subtyping and Classification of Bladder Cancer.Diagnostics (Basel, Switzerland) · 2024Review
- Urinary mRNA-based biomarkers for non-muscle-invasive bladder cancer: a mini-review.Frontiers in oncology · 2024Review
- Article
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Authors and funding
7 authors.
Funding
Abstract
Transcriptional profiling of muscle-invasive bladder cancer (MIBC) using RNA sequencing (RNA-seq) technology has demonstrated the existence of intrinsic basal and luminal molecular subtypes that vary in their prognosis and response to therapy. However, routine use of RNA-seq in a clinical setting is restricted by cost and technical difficulties. Herein, we provide a single-sample NanoString-based seven-gene (KRT5, KRT6C, SERPINB13, UPK1A, UPK2, UPK3A and KRT20) MIBC molecular classifier that assigns a luminal and basal molecular subtype. The classifier was developed in a series of 138 chemotherapy naïve MIBCs split into training (70%) and testing (30%) datasets. Further, we validated the previously published CK5/6 and GATA3 immunohistochemical classifier which showed high concordance of 96.9% with the NanoString-based gene expression classifier. Immunohistochemistry-based molecular subtypes significantly correlated with recurrence-free survival (RFS) and disease-specific survival (DSS) in univariable (
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Registered trials
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