Gunilla Chebil

TL;DR: The molecular subtypes cut across pathologic classification, and class-defining gene signatures show coordinated expression irrespective of pathologic stage and grade, suggesting the molecular phenotypes as intrinsic properties of the tumors.

TL;DR: The combination of molecular and histopathologic classification systems might provide a strong improvement for bladder cancer classification and produce new insights into the development of this tumor type.

TL;DR: In this paper, the authors analyzed 34 cases of urothelial carcinomas by miRNA, mRNA and genomic profiling and identified muscle invasive tumors with high precision and sensitivity using hierarchical clustering using expression information for 300 miRNAs.

TL;DR: It is shown that gene expression profiling can discover novel classes among BRCAx tumors, and differentiate them from BRCA1 and BRC a2 tumors, illustrating that, when gene expression-based classifications are used, BRC Ax families can be grouped into homogeneous subsets, thereby potentially increasing the power of conventional genetic analysis.

TL;DR: The integrative approach revealed at least two separate networks of genomic alterations linked to the molecular diversity seen in UC, and that these circuits may reflect distinct pathways of tumor development.