Gene Expression and Clinical Relevance Analysis of ALG3 as an Adverse Prognosis Biomaker in Multiple Myeloma Based on Oncomine Database and CCLE Database

Author:

Xu Jie1,Zhao Wen-Xiao2,Jiao Yu-Tian3,Gu Xiao-Ran3,Yu Xiao-Xiao4,Du Jun4,Huang Zou-Fang5

Affiliation:

1. Chinese Academy of Medical Science & Peking Union Medical College

2. The Chinese University of Hong Kong

3. Shanghai Jiao Tong University School of Medicine

4. Renji Hospital, School of Medicine, Shanghai Jiao Tong University

5. The First Afiliated Hospital of Gannan Medical University

Abstract

Abstract Aim To investigate the expression and clinical relevance of the alpha- 1,3- mannosyltransferasegene (ALG3) gene in Multiple Myeloma through intensive mining of the Oncomine database and CCLE database. Methods Meta-analysis was performed on all MM datasets included in the Oncomine database. The ALG3 gene was identified and the expression changes in MM patients were analyzed. Download the source files of MM datasets containing survival information and perform survival analysis depending on the level of ALG3 mRNA expression. Correlation analysis and Cox multifactor regression analysis were performed using SPSS statistical analysis software for factors including ALG3 expression and 1q21 + status. The expression of ALG3 in each tumor cell line was evaluated with CCLE database. Co-expression analysis, as well as KEGG and GO enrichment analysis, were performed for ALG3 through the STRING online data analysis tool. Results The Oncomine database contains 33 MM datasets with 3157 samples. Meta-analysis of two datasets containing 207 samples labeled "Multiple Myeloma vs Normal" showed that ALG3 was the 18th most significantly hyper-expressed molecule. Survival analysis indicated that ALG3 expression was negatively associated with overall survival of MM patients. High ALG3 expression was a poor prognostic factor independent of 1q21 amplification. KEGG and GO enrichment analysis of molecules co-expressed with ALG3 revealed the correlation of ALG3 with pathways involving RNA degradation, proteasome regulation, HIF- 1 signaling pathway and shear body formation. Conclusion ALG3 is highly expressed in multiple myeloma and negatively correlates with survival prognosis of patients. ALG3 is a poor prognostic marker in MM patients, associated with upregulation in myeloma with pathways including proteasome regulation, RNA degradation and shedder formation, which is promising as a precise therapeutic target for MM.

Publisher

Research Square Platform LLC

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