SWI/SNF Alterations in Squamous Bladder Cancers.
Fabian AchenbachMichael RoseNadina Ortiz-BrüchleLancelot SeillierRuth KnüchelVeronika WeyererArndt HartmannRonja MorschAngela MaurerThorsten H EckeStefan GarczykNadine Therese GaisaPublished in: Genes (2020)
Dysfunction of the SWI/SNF complex has been observed in various cancers including urothelial carcinomas. However, the clinical impact of the SWI/SNF complex in squamous-differentiated bladder cancers (sq-BLCA) remains unclear. Therefore, we aimed to analyze potential expression loss and genetic alterations of (putative) key components of the SWI/SNF complex considering the co-occurrence of genetic driver mutations and PD-L1 expression as indicators for therapeutic implications. Assessment of ARID1A, SMARCA2, SMARCA4, SMARCB1/INI1, SMARCC1, SMARCC2 and PBRM1 mutations in a TCGA data set of sq-BLCA (n = 45) revealed that ARID1A was the most frequently altered SWI/SNF gene (15%) while being associated with protein downregulation. Genetic alterations and loss of ARID1A were confirmed by Targeted Next Generation Sequencing (NGS) (3/6) and immunohistochemistry (6/116). Correlation with further mutational data and PD-L1 expression revealed co-occurrence of ARID1A loss and TP53 mutations, while positive correlations with other driver mutations such as PIK3CA were not observed. Finally, a rare number of sq-BLCA samples were characterized by both ARID1A protein loss and strong PD-L1 expression suggesting a putative benefit upon immune checkpoint inhibitor therapy. Hence, for the first time, our data revealed expression loss of SWI/SNF subunits in sq-BLCA, highlighting ARID1A as a putative target of a small subgroup of patients eligible for novel therapeutic strategies.
Keyphrases
- copy number
- high grade
- genome wide
- poor prognosis
- electronic health record
- big data
- end stage renal disease
- spinal cord injury
- single cell
- oxidative stress
- machine learning
- stem cells
- prognostic factors
- chronic kidney disease
- peritoneal dialysis
- clinical trial
- urinary tract
- dna methylation
- risk assessment
- data analysis
- randomized controlled trial
- drug delivery
- bone marrow
- artificial intelligence
- long non coding rna
- transcription factor
- childhood cancer