Cancer drivers and clonal dynamics in acute lymphoblastic leukaemia subtypes.
James B StuddAlex J CornishPhuc H HoangPhilip J LawBen KinnersleyRichard S HoulstonPublished in: Blood cancer journal (2021)
To obtain a comprehensive picture of composite genetic driver events and clonal dynamics in subtypes of paediatric acute lymphoblastic leukaemia (ALL) we analysed tumour-normal whole genome sequencing and expression data from 361 newly diagnosed patients. We report the identification of both structural drivers, as well as recurrent non-coding variation in promoters. Additionally we found the transcriptional profile of histone gene cluster 1 and CTCF altered tumours shared hallmarks of hyperdiploid ALL suggesting a 'hyperdiploid like' subtype. ALL subtypes are driven by distinct mutational processes with AID mutagenesis being confined to ETV6-RUNX1 tumours. Subclonality is a ubiquitous feature of ALL, consistent with Darwinian evolution driving selection and expansion of tumours. Driver mutations in B-cell developmental genes (IKZF1, PAX5, ZEB2) tend to be clonal and RAS/RTK mutations subclonal. In addition to identifying new avenues for therapeutic exploitation, this analysis highlights that targeted therapies should take into account composite mutational profile and clonality.
Keyphrases
- newly diagnosed
- liver failure
- genome wide
- end stage renal disease
- respiratory failure
- acute lymphoblastic leukemia
- transcription factor
- dna methylation
- chronic kidney disease
- copy number
- ejection fraction
- emergency department
- machine learning
- genome wide identification
- poor prognosis
- intensive care unit
- papillary thyroid
- deep learning
- prognostic factors
- epithelial mesenchymal transition
- hepatitis b virus
- oxidative stress
- patient reported outcomes
- squamous cell
- electronic health record
- patient reported
- bioinformatics analysis