Are We Ready to Implement Molecular Subtyping of Bladder Cancer in Clinical Practice? Part 1: General Issues and Marker Expression.
Francesca SanguedolceMagda ZanelliAndrea PalicelliStefano AscaniMaurizio ZizzoGiorgia CoccoLars BjörneboAnna LantzUgo Giovanni FalagarioLuigi CormioGiuseppe CarrieriPublished in: International journal of molecular sciences (2022)
Bladder cancer (BC) is a heterogeneous disease with highly variable clinical and pathological features, and resulting in different outcomes. Such heterogeneity ensues from distinct pathogenetic mechanisms and may consistently affect treatment responses in single patients. Thus, over the last few years, several groups have developed molecular classification schemes for BC, mainly based on their mRNA expression profiles. A "consensus" classification has recently been proposed to combine the published systems, agreeing on a six-cluster scheme with distinct prognostic and predictive features. In order to implement molecular subtyping as a risk-stratification tool in routine practice, immunohistochemistry (IHC) has been explored as a readily accessible, relatively inexpensive, standardized surrogate method, achieving promising results in different clinical settings. The first part of this review deals with the steps resulting in the development of a molecular subtyping of BC, its prognostic and predictive implications, and the main features of immunohistochemical markers used as surrogates to stratify BC into pre-defined molecular clusters.
Keyphrases
- clinical practice
- machine learning
- end stage renal disease
- primary care
- single molecule
- deep learning
- type diabetes
- randomized controlled trial
- ejection fraction
- chronic kidney disease
- newly diagnosed
- single cell
- adipose tissue
- prognostic factors
- long non coding rna
- skeletal muscle
- quality improvement
- replacement therapy