| Literature DB >> 30317626 |
Xin-Yue Lian1,2, Ji-Chun Ma3,4, Jing-Dong Zhou1,4, Ting-Juan Zhang1,4, De-Hong Wu4,5, Zhao-Qun Deng3,4, Zhi-Hui Zhang1,4, Xi-Xi Li1,4, Pin-Fang He3,4, Yang Yan4,6, Jiang Lin3,4, Jun Qian1,4.
Abstract
The current study was aimed to investigate integrin beta-like 1 (ITGBL1) methylation pattern and its clinical relevance in patients with acute myeloid leukemia (AML). Real-time methylation-specific polymerase chain reaction (PCR; RQ-MSP) and bisulfite sequencing PCR (BSP) were performed to detect the methylation of ITGBL1 promoter. Real-time quantitative PCR (RT-qPCR) was performed to analyze ITGBL1 transcript level. The results showed that ITGBL1 methylation level in 131 patients with AML was significantly higher than 29 controls (p < 0.001). The ITGBL1-hypermethylated group tended to have a higher bone marrow (BM) blasts ( p = 0.076). Meanwhile, ITGBL1-hypermethylated patients tended to have a lower complete remission (CR) rate ( p = 0.102). ITGBL1-hypermethylated patients had significantly shorter overall survival (OS) and leukemia-free survival (LFS) than ITGBL1 hypomethylated patients in whole AML cohort ( p = 0.009 and 0.043, respectively) and patients with nonacute promyelocytic leukemia (APL ; p = 0.023 and 0.039, respectively). Multivariate analysis confirmed that the ITGBL1 methylation served as an independent prognostic factor in both patients with whole-cohort AML ( p = 0.030) and patients with non-APL ( p = 0.020). Furthermore, the ITGBL1 methylation level was significantly decreased in follow-up AML patients who achieved complete remission after induction therapy ( P = 0.001). ITGBL1 methylation negatively correlated with ITGBL1 expression in patients with AML ( R = -0.328, p = 0.008). Moreover, demethylation of ITGBL1 could increase the ITGBL1 expression in the K562 leukemic cell line ( p < 0.05). In conclusion, the ITGBL1 hypermethylation is a potential biomarker for predicting prognosis and monitoring disease status in patients with AML.Entities:
Keywords: ITGBL1; acute myeloid leukemia; expression; methylation; prognosis
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Year: 2018 PMID: 30317626 DOI: 10.1002/jcp.27629
Source DB: PubMed Journal: J Cell Physiol ISSN: 0021-9541 Impact factor: 6.384