High WBP5 expression correlates with elevation of HOX genes levels and is associated with inferior survival in patients with acute myeloid leukaemia.
C WardPierre CauchyP GarciaJ FramptonMiguel Angel EstebanG VolpePublished in: Scientific reports (2020)
WW domain binding protein 5 (WBP5), also known as Transcriptional Elongation Factor A like 9 (TCEAL9) has been proposed as a candidate oncogene for human colorectal cancers with microsatellite instability and as a predictive indicator of small cell lung cancers. Furthermore, several independent studies have proposed WBP5, and its association with Wilms Tumor-1 (WT1) expression, as part of a gene expression-based risk score for predicting survival and clinical outcome in patients with Acute Myeloid Leukaemia (AML). To date, the prognostic significance of the sole WBP5 expression and its impact on the survival outcome in AML patients remains largely understudied. In the present study, we have made use of publicly available patient expression arrays and have developed an unbiased approach to classify AML patients into low versus high WBP5 expressers and to balance them for known mutations and cytogenetic findings. Interestingly, we found that patients characterized by high WBP5 expression displayed inferior overall and event-free survival rates. Notably, gene expression profiling showed that patients with high WBP5 had elevated expression of several HOX cluster genes, such as HOXA5, HOXA7, HOXA9 and HOXA10, and several of their partner proteins, such as MEIS1 and FOXC1, which have been demonstrated to be causative for AML. Taken together, our data suggest that WBP5 expression level could serve as an indicator for prognosis and survival outcome in patients with AML.
Keyphrases
- poor prognosis
- binding protein
- acute myeloid leukemia
- end stage renal disease
- gene expression
- free survival
- long non coding rna
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- genome wide
- stem cells
- peritoneal dialysis
- endothelial cells
- dna methylation
- dendritic cells
- hiv infected
- patient reported outcomes
- hepatitis c virus
- long noncoding rna
- transcription factor
- single cell
- cell therapy
- deep learning
- big data
- copy number
- induced pluripotent stem cells
- mesenchymal stem cells
- hiv testing