IBCN 2018: Spatial and Temporal Heterogeneity in Bladder Cancer with Basal Phenotype
Using similar dual staining GATA3-KRT5/6 with RNA extraction performed NanoString mRNA expression analyses. A Codeset of 29 genes were differentially expressed in basal/squamous-like subtype with high degree of correlation between samples. They designed a classifier with 29 genes and assessed the prediction with up to 92% accuracy. Subsequent spatial heterogeneity was assessed using this 29 gene classifier with similar accuracy within identification in basal subtypes. Furthermore, they were able to identify mutational burden within tumors and further work has been similarly done comparing primary versus metastatic tumors.
In summary, NanoString technology appears to usable for basal subtype identification using 29 gene classifier, however, further external validation are needed.
Presented by: Yves Allory, Institute Curie and Hôpitaux de Paris, Paris, France,
Written by: Stephen B. Williams, M.D., Associate Professor, Division of Urology, The University of Texas Medical Branch, Galveston, TX. and Ashish M. Kamat, M.D. Professor, Department of Urology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX at the 16th Annual Meeting of the International Bladder Cancer Network (IBCN) October 11-13, 2018 - the Inntel Hotels Rotterdam Centre, Rotterdam, The Netherlands