Transcriptome Analysis in Mexican Adults with Acute Lymphoblastic Leukemia.
Gabriela Marisol Cruz-MirandaIrma Olarte CarrilloDiego Alberto Bárcenas-LópezAdolfo Martínez-TovarJulian Ramírez-BelloChristian Omar Ramos-PeñafielAnel Irais García-LagunaRafael CerónDidier May-HauSilvia Jiménez-MoralesPublished in: International journal of molecular sciences (2024)
Acute lymphoblastic leukemia (ALL) represents around 25% of adult acute leukemias. Despite the increasing improvement in the survival rate of ALL patients during the last decade, the heterogeneous clinical and molecular features of this malignancy still represent a major challenge for treatment and achieving better outcomes. To identify aberrantly expressed genes in bone marrow (BM) samples from adults with ALL, transcriptomic analysis was performed using Affymetrix Human Transcriptome Array 2.0 (HTA 2.0). Differentially expressed genes (DEGs) (±2-fold change, p -value < 0.05, and FDR < 0.05) were detected using the Transcriptome Analysis Console. Gene Ontology (GO), Database for Annotation, Visualization, and Integrated Discovery (DAVID), and Ingenuity Pathway Analysis (IPA) were employed to identify gene function and define the enriched pathways of DEGs. The protein-protein interactions (PPIs) of DEGs were constructed. A total of 871 genes were differentially expressed, and DNTT , MYB , EBF1 , SOX4 , and ERG were the top five up-regulated genes. Meanwhile, the top five down-regulated genes were PTGS2 , PPBP , ADGRE3 , LUCAT1 , and VCAN . An association between ERG , CDK6 , and SOX4 expression levels and the probability of relapse and death was observed. Regulation of the immune system, immune response, cellular response to stimulus, as well as apoptosis signaling, inflammation mediated by chemokines and cytokines, and T cell activation were among the most altered biological processes and pathways, respectively. Transcriptome analysis of ALL in adults reveals a group of genes consistently associated with hematological malignancies and underscores their relevance in the development of ALL in adults.
Keyphrases
- genome wide
- genome wide identification
- transcription factor
- acute lymphoblastic leukemia
- bioinformatics analysis
- immune response
- bone marrow
- dna methylation
- genome wide analysis
- stem cells
- rna seq
- endothelial cells
- single cell
- mesenchymal stem cells
- type diabetes
- small molecule
- high throughput
- end stage renal disease
- cell death
- toll like receptor
- long non coding rna
- metabolic syndrome
- high resolution
- hepatitis b virus
- free survival
- mass spectrometry
- single molecule