Identification of promising prognostic genes for relapsed acute lymphoblastic leukemia.

Abstract

PURPOSE:

The present study aimed to identify the molecular mechanism of acute lymphoblastic leukemia (ALL), and explore valuable prognostic biomarkers for relapsed ALL.

METHODS:

Gene expression dataset including 59 samples from ALL survivals without recurrence (good group) and 114 samples from dead ALL patients died of recurrence (poor group) was downloaded from TCGA database. The differentially expressed genes (DEGs) were identified between good and poor groups, followed by pathway and functional enrichment analyses. Subsequently, logistic regression model and survival analysis were performed.

RESULTS:

In total, 637 up- and 578 down-regulated DEGs were revealed between good and poor groups. These DEGs were mainly enriched in functions including transcription and pathways like focal adhesion. Genes including alpha-protein kinase 1 (ALPK1), zinc finger protein 695 (ZNF695), actinin alpha 4 (ACTN4), calreticulin (CALR), and F-Box and leucine rich repeat protein 5 (FBXL5) were outstanding in survival analysis.

CONCLUSION:

Transcription and focal adhesion might play important roles in ALL progression. Furthermore, genes including ALPK1, ZNF695, ACTN4, CALR, and FBXL5 might be novel prognostic genes for relapsed ALL.

• Authors: Chai Ji, Shengliang Lin, Dan Yao, Mingyan Li, Weijun Chen, Shuangshuang Zheng, Zhengyan Zhao
• Journal: Blood cells, molecules & diseases (Blood Cells Mol Dis) Vol. 77 Pg. 113-119 (07 2019) ISSN: 1096-0961 [Electronic] United States
• PMID: 31030124 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
• Copyright: Copyright © 2019 Elsevier Inc. All rights reserved.

Chemical References

• Biomarkers, Tumor

Topics

• Biomarkers, Tumor (genetics)
• Computational Biology (methods)
• Gene Expression Profiling
• Gene Expression Regulation, Neoplastic
• Gene Ontology
• Gene Regulatory Networks
• Humans
• Precursor Cell Lymphoblastic Leukemia-Lymphoma (genetics, mortality, pathology)
• Prognosis
• Recurrence
• Survival Analysis