Digital gene expression profiling analysis of childhood acute lymphoblastic leukemia

• Published in: Molecular medicine reports Vol. 13; no. 5; pp. 4321 - 4328
• Main Authors: ZHAO, MING-YI, YU, YAN, XIE, MIN, YANG, MING-HUA, ZHU, SHAN, YANG, LIANG-CHUN, KANG, RUI, TANG, DAO-LIN, ZHAO, LING-LING, CAO, LI-ZHI
• Format: Journal Article
• Language: English
• Published: Greece D.A. Spandidos 01.05.2016; Spandidos Publications; Spandidos Publications UK Ltd
• Subjects: Acute lymphoblastic leukemia; Acute lymphocytic leukemia; Adolescent; Antigens; Apoptosis; Biology; Bone marrow; Breast cancer; Care and treatment; CD70 antigen; Cell death; Chemokines; Child; Child, Preschool; Children; Chromosome rearrangements; Chromosomes; Cytogenetics; Development and progression; digital gene expression profile; Endometrial cancer; Female; Gene expression; Gene Expression Profiling - methods; Gene Expression Regulation, Leukemic; Gene Ontology; Genetic aspects; Genomes; Genotype; Health aspects; Humans; Hybridization; Identification and classification; Innovations; Insects; Kinases; Leukemia; Liver cancer; Lung cancer; Lymphatic leukemia; Male; Malignancy; Molecular biology; Molecular modelling; Morphology; Neoplasm Proteins - biosynthesis; Neoplasm Proteins - genetics; Neuroblastoma; Ovarian cancer; Patients; pediatrics; Polymerase chain reaction; Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics; Precursor Cell Lymphoblastic Leukemia-Lymphoma - metabolism; Proteins; Reverse transcription; second-generation sequencing; Stem cells; United States > US; China
• ISSN: 1791-2997; 1791-3004
• DOI: 10.3892/mmr.2016.5089

Acute lymphoblastic leukemia (ALL) is the most commonly diagnosed malignancy in children. It is a heterogeneous disease, and is determined by multiple gene alterations and chromosomal rearrangements. To improve current understanding of the underlying molecular mechanisms of ALL, the present study profiled genome-wide digital gene expression (DGE) in a population of children with ALL in China. Using second-generation sequencing technology, the profiling revealed that 2,825 genes were upregulated and 1,952 were downregulated in the ALL group. Based on the DGE profiling data, the present study further investigated seven genes (WT1, RPS26, MSX1, CD70, HOXC4, HOXA5 and HOXC6) using reverse transcription-quantitative polymerase chain reaction analysis. Gene Ontology analysis suggested that the differentially expressed genes were predominantly involved in immune cell differentiation, metabolic processes and programmed cell death. The results of the present study provided novel insights into the gene expression patterns in children with ALL.