Investigation and analysis of single nucleotide polymorphisms in Janus kinase/signal transducer and activator of transcription genes with leukemia

Abstract

Aberrant activation of the Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway may predispose to leukemia due to deregulation of proliferation, differentiation or apoptosis. This study was conducted to investigate whether any association exists between genetic polymorphisms in the JAK2, STAT3 and STAT5 genes and individual susceptibility to leukemia. A case–control study was carried out using a Chinese sample set with 344 cases of leukemia and 346 controls matched by age and ethnicity. Genomic DNA was assayed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) on 13 single nucleotide polymorphisms (SNPs). Genotype analyses showed that two SNPs, namely rs17886724 and rs2293157 located in STAT3 and STAT5, respectively, were significantly associated with leukemia (p < 0.05 for all). Interaction analyses of SNPs (rs17886724|rs2293157; rs11079041| rs2293157) showed that there were inferior associations in chronic lymphocytic leukemia (CLL) and acute myeloid leukemia (AML) compared to the control group (0.1 > p > 0.05). Linkage disequilibrium existed between rs11079041 and rs2293157 in both leukemia and control groups (r² = 0.7). The haplotypes displayed significant association between rs11079041 and rs2293157 in both leukemia and control groups (p < 0.05). The accuracy rate of the support vector machine (SVM) classification model in making a prediction of leukemia was 97%. The results indicated that STAT3 and STAT5 gene SNPs may be prognostic of leukemia.

Keywords::

• JAK/STAT
• SNPs
• leukemia

Acknowledgements

We thank Feng Jifeng, Jianzhong Wu, Baoan Chen, Rong Ma, Haixia Cao, Zhuo Wang, Lu Cheng and Jiahua Ding for technical help and assistance with collecting samples. We would also like to thank all the volunteers who took part in this study. We are grateful to Cheng Lu and Jianzhong Wu for assistance in data analysis. This work was funded by the Jiangsu Provincial Special Scientific Program (Z200609) and the Jiangsu Cancer Hospital Intramural Research Program (ZQ201102).

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