Genomic profiling studies have demonstrated that bladder cancer can be divided into two molecular subtypes referred to as luminal and basal with distinct clinical behaviors and sensitivities to frontline chemotherapy.
We analyzed the mRNA expressions of signature luminal and basal genes in bladder cancer tumor samples from publicly available and MD Anderson Cancer Center cohorts. We developed a quantitative classifier referred to as basal to luminal transition (BLT) score which identified the molecular subtypes of bladder cancer with 80-94% sensitivity and 83-93% specificity. In order to facilitate molecular subtyping of bladder cancer in primary care centers, we analyzed the protein expressions of signature luminal (GATA3) and basal (KRT5/6) markers by immunohistochemistry, which identified molecular subtypes in over 80% of the cases. In conclusion, we provide a tool for assessment of molecular subtypes of bladder cancer in routine clinical practice.
Scientific reports. 2020 Jun 16*** epublish ***
Charles C Guo, Jolanta Bondaruk, Hui Yao, Ziqiao Wang, Li Zhang, Sangkyou Lee, June-Goo Lee, David Cogdell, Miao Zhang, Guoliang Yang, Vipulkumar Dadhania, Woonyoung Choi, Peng Wei, Jianjun Gao, Dan Theodorescu, Christopher Logothetis, Colin Dinney, Marek Kimmel, John N Weinstein, David J McConkey, Bogdan Czerniak
Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio, USA., Johns Hopkins Greenberg Bladder Cancer Institute, Johns Hopkins University, Baltimore, MD, USA., Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai, Los Angeles, CA, USA., Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Department of Statistics, Rice University, Houston, TX, USA., Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. .
PubMed http://www.ncbi.nlm.nih.gov/pubmed/32546765