Comprehensive analysis of ID genes reveals the clinical and prognostic value of ID3 expression in acute myeloid leukemia using bioinformatics identification and experimental validation

Author:

Zhao Qi,Wang Yun,Yu Di,Leng Jia-Yan,Zhao Yangjing,Chu Mingqiang,Xu Zijun,Ding Hao,Zhou Jingdong,Zhang Tingjuan

Abstract

Abstract Background Dysregulation of inhibitor of differentiation/DNA binding (ID) genes is linked to cancer growth, angiogenesis, invasiveness, metastasis and patient survival. Nevertheless, few investigations have systematically determined the expression and prognostic value of ID genes in acute myeloid leukemia (AML). Methods The expression and clinical prognostic value of ID genes in AML were first identified by public databases and further validated by our research cohort. Results Using public data, the expression of ID1/ID3 was markedly downregulated in AML, and the expression of ID2 was greatly upregulated in AML, whereas ID4 showed no significant difference. Among the ID genes, only ID3 expression may be the most valuable prognostic biomarker in both total AML and cytogenetically normal AML (CN-AML) and especially in CN-AML. Clinically, reduced ID3 expression was greatly associated with higher white blood cell counts, peripheral blood/bone marrow blasts, normal karyotypes and intermediate cytogenetic risk. In addition, low ID3 expression was markedly related to FLT3 and NPM1 mutations as well as wild-type TP53. Despite these associations, multivariate Cox regression analysis revealed that ID3 expression was an independent risk factor affecting overall survival (OS) and disease free survival (DFS) in CN-AML patients. Biologically, a total of 839 mRNAs/lncRNAs and 72 microRNAs were found to be associated with ID3 expression in AML. Importantly, the expression of ID3 with discriminative value in AML was further confirmed in our research cohort. Conclusion The bioinformatics analysis and experimental verification demonstrate that low ID3 expression independently affects OS and DFS in patients with CN-AML, which might be seen as a potential prognostic indicator in CN-AML.

Funder

National Natural Science Foundation of China

Medical Field of Zhenjiang “Jin Shan Ying Cai” Project

National Natural Science foundation of China

Natural Science Foundation of Jiangsu Province

Social Development Foundation of Zhenjiang

Research Project of Jiangsu Commission of Health

Medical Education Collaborative Innovation Fund of Jiangsu University

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Genetics,Oncology

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