Comparative Genomic Hybridization and Transcriptome Sequencing Reveal Genes with Gain in Acute Lymphoblastic Leukemia: JUP Expression Emerges as a Survival-Related Gene.
Jessica Alejandra Zapata-GarcíaAlma Rocío Riveros-MagañaPablo César Ortiz-LazarenoGeorgina Hernández-FloresLuis Felipe Jave-SuarezAdriana Del Carmen Aguilar-LemarroyPublished in: Diagnostics (Basel, Switzerland) (2022)
Acute lymphoblastic leukemia (ALL) in children or adults is characterized by structural and numeric aberrations in chromosomes; these anomalies strongly correlate with prognosis and clinical outcome. Therefore, this work aimed to identify the genes present in chromosomal gain regions found more frequently in patients with acute lymphoblastic leukemia (ALL) and ALL-derived cell lines using comparative genomic hybridization (CGH). In addition, validation of the genes found in these regions was performed utilizing RNAseq from JURKAT, CEM, and SUP-B15 cell lines, as well as expression microarrays derived from a MILE study. Chromosomes with common gain zones that were maintained in six or more samples were 14, 17, and 22, in which a total of 22 genes were identified. From them, NT5C3B , CNP , ACLY , and GNB1L maintained overexpression at the mRNA level in the cell lines and in patients with ALL. It is noteworthy that SALL2 showed very high expression in T-ALL, while JUP was highly expressed in B-ALL lineages. Interestingly, the latter correlated with worse survival in patients. This provided evidence that the measurement of these genes has high potential for clinical utility; however, their expressions should first be evaluated with a sensitive test in a more significant number of patients.
Keyphrases
- acute lymphoblastic leukemia
- genome wide
- copy number
- genome wide identification
- poor prognosis
- end stage renal disease
- ejection fraction
- newly diagnosed
- dna methylation
- binding protein
- bioinformatics analysis
- allogeneic hematopoietic stem cell transplantation
- single cell
- genome wide analysis
- chronic kidney disease
- prognostic factors
- gene expression
- transcription factor
- long non coding rna
- single molecule
- risk assessment
- label free