Expression and Prognostic Value of Metabolism-related Genes in Pediatric Acute Lymphoblastic Leukemia.
10.19746/j.cnki.issn.1009-2137.2021.05.002
- Author:
Hao ZHANG
1
;
Juan CHEN
1
;
Hai-Zhen MA
1
;
Long ZHAO
1
;
Ya-Ming XI
2
Author Information
1. Department of Hematology, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu Province, China.
2. Department of Hematology, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu Province, China E-mail: xiyaming02@163.com.
- Publication Type:Journal Article
- MeSH:
Gene Expression Profiling;
Humans;
Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics*;
Prognosis;
Transcriptome
- From:
Journal of Experimental Hematology
2021;29(5):1375-1379
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To analyze the expression and prognostic value of metabolism-related genes in pediatric acute lymphoblastic leukemia (ALL), and explore the potential prognostic biomarkers or therapeutic targets.
METHODS:Transcriptome data from 84 children with B-cell ALL at the time of diagnosis and prior to any treatment were used to analyze the differential gene expression. A prognostic scoring system based on the expression of the metabolism-related genes was constructed using Cox and Lasso regression methods. The prognostic value of the scoring system was further assessed by multivariate Cox regression analysis. Gene set enrichment analysis was carried out by using GSEA software.
RESULTS:Among the 933 metabolism-related genes, 14 up-regulated genes and 17 down-regulated genes were identified as differentially expressed genes. In addition, 8 up-regulated genes (ASS1, CKM, PTGES, ADCY5, HNMT, PHGDH, CYP4F3, AADAT) and 4 down-regulated genes (GDA, DHRS9, IDO2, UGT2B4) were selected to establish a novel prognostic scoring system. Patients in the high-risk group showed poorer survival significantly than patients in the low-risk group (P<0.05). The prognostic scoring system was still shown to be an independent prognostic factor for the survival of children with ALL after the clinical characteristics, such as gender, age, white blood cell count at initial diagnosis, cytogenetics and molecular genetics were included (HR=8.906, 95%CI: 3.114-25.470). GSEA results showed that 6 metabolism-related pathways (amino sugar and nucleotide sugar metabolism, arginine and proline metabolism, fructose and mannose metabolism, glyoxylate and dicarboxylate metabolism, pyrimidine metabolism, selenoamino acid metabolism) were enriched in the high-risk group.
CONCLUSION:The abnormal metabolism-related gene expression is associated with the clinical outcome of children with ALL, and these results provide potential novel prognostic biomarkers and treatment targets for pediatric ALL.
