Transcriptome Analysis in Mexican Adults with Acute Lymphoblastic Leukemia

• Published in: International journal of molecular sciences Vol. 25; no. 3; p. 1750
• Main Authors: Cruz-Miranda, Gabriela Marisol, Olarte-Carrillo, Irma, Bárcenas-López, Diego Alberto, Martínez-Tovar, Adolfo, Ramírez-Bello, Julian, Ramos-Peñafiel, Christian Omar, García-Laguna, Anel Irais, Cerón-Maldonado, Rafael, May-Hau, Didier, Jiménez-Morales, Silvia
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-02-2024
• Subjects: acute lymphoblastic leukemia; Acute lymphocytic leukemia; Adults; Apoptosis; Biomarkers; Biotechnology industry; Chemokines; Correlation analysis; Cytokines; Gene expression; Genes; Health care; Leukemia; Medical prognosis; mexican patients; microarrays; Patients; Remission (Medicine); Survival analysis; Systems development; T cells; transcriptome analysis; United States; Mexico; transcriptome analysis; acute lymphoblastic leukemia; mexican patients; adults; microarrays
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms25031750

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,
-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
,
,
,
, and
were the top five up-regulated genes. Meanwhile, the top five down-regulated genes were
,
,
,
, and
. An association between
,
, and
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.