A study on DNA methylation status in promoter region of p15 gene in patients of acute myeloid leukemia and myelodysplastic syndrome

Author(s):  
Sangeetha Sampath ◽  
Pratibha Misra ◽  
Sandeep Kumar Yadav ◽  
Sanjeevan Sharma ◽  
Venkatesan Somasundaram
2011 ◽  
Author(s):  
Maribel Tirado-Gomez ◽  
Cristina Munoz ◽  
Paul R. Cordero ◽  
Raul Bernabe ◽  
Mercedes Lacourt ◽  
...  

Cells ◽  
2018 ◽  
Vol 7 (9) ◽  
pp. 138 ◽  
Author(s):  
Michaela Merkerova ◽  
Hana Remesova ◽  
Zdenek Krejcik ◽  
Nikoleta Loudova ◽  
Andrea Hrustincova ◽  
...  

The DLK1–DIO3 region contains a large miRNA cluster, the overexpression of which has previously been associated with myelodysplastic syndromes (MDS). To reveal whether this overexpression is epigenetically regulated, we performed an integrative analysis of miRNA/mRNA expression and DNA methylation of the regulatory sequences in the region (promoter of the MEG3 gene) in CD34+ bone marrow cells from the patients with higher-risk MDS and acute myeloid leukemia with myelodysplasia-related changes (AML-MRC), before and during hypomethylating therapy with azacytidine (AZA). Before treatment, 50% of patients showed significant miRNA/mRNA overexpression in conjunction with a diagnosis of AML-MRC. Importantly, increased level of MEG3 was associated with poor outcome. After AZA treatment, the expression levels were reduced and were closer to those seen in the healthy controls. In half of the patients, we observed significant hypermethylation in a region preceding the MEG3 gene that negatively correlated with expression. Interestingly, this hypermethylation (when found before treatment) was associated with longer progression-free survival after therapy initiation. However, neither expression nor methylation status were associated with future responsiveness to AZA treatment. In conclusion, we correlated expression and methylation changes in the DLK1–DIO3 region, and we propose a complex model for regulation of this region in myelodysplasia.


Blood ◽  
2008 ◽  
Vol 112 (4) ◽  
pp. 1366-1373 ◽  
Author(s):  
Heike Kroeger ◽  
Jaroslav Jelinek ◽  
Marcos R. H. Estécio ◽  
Rong He ◽  
Kimie Kondo ◽  
...  

AbstractDNA methylation of CpG islands around gene transcription start sites results in gene silencing and plays a role in leukemia pathophysiology. Its impact in leukemia progression is not fully understood. We performed genomewide screening for methylated CpG islands and identified 8 genes frequently methylated in leukemia cell lines and in patients with acute myeloid leukemia (AML): NOR1, CDH13, p15, NPM2, OLIG2, PGR, HIN1, and SLC26A4. We assessed the methylation status of these genes and of the repetitive element LINE-1 in 30 patients with AML, both at diagnosis and relapse. Abnormal methylation was found in 23% to 83% of patients at diagnosis and in 47% to 93% at relapse, with CDH13 being the most frequently methylated. We observed concordance in methylation of several genes, confirming the presence of a hypermethylator pathway in AML. DNA methylation levels increased at relapse in 25 of 30 (83%) patients with AML. These changes represent much larger epigenetic dysregulation, since methylation microarray analysis of 9008 autosomal genes in 4 patients showed hypermethylation ranging from 5.9% to 13.6% (median 8.3%) genes at diagnosis and 8.0% to 15.2% (median 10.6%) genes in relapse (P < .001). Our data suggest that DNA methylation is involved in AML progression and provide a rationale for the use of epigenetic agents in remission maintenance.


2016 ◽  
Vol 14 (2) ◽  
pp. 1339-1344 ◽  
Author(s):  
Yingjie Zhang ◽  
Qi Jiang ◽  
Xiaolin Kong ◽  
Lili Yang ◽  
Wanzhen Hu ◽  
...  

2012 ◽  
Author(s):  
Maribel Tirado-Gomez ◽  
Sharon Fonseca ◽  
Cristina Munoz ◽  
Paul Cordero ◽  
Raul Bernabe ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Geórgia Muccillo Dexheimer ◽  
Jayse Alves ◽  
Laura Reckziegel ◽  
Gabrielle Lazzaretti ◽  
Ana Lucia Abujamra

During the onset and progression of hematological malignancies, many changes occur in cellular epigenome, such as hypo- or hypermethylation of CpG islands in promoter regions. DNA methylation is an epigenetic modification that regulates gene expression and is a key event for tumorigenesis. The continuous search for biomarkers that signal early disease, indicate prognosis, and act as therapeutic targets has led to studies investigating the role of DNA in cancer onset and progression. This review focuses on DNA methylation changes as potential biomarkers for diagnosis, prognosis, response to treatment, and early toxicity in acute myeloid leukemia and myelodysplastic syndrome. Here, we report that distinct changes in DNA methylation may alter gene function and drive malignant cellular transformation during several stages of leukemogenesis. Most of these modifications occur at an early stage of disease and may predict myeloid/lymphoid transformation or response to therapy, which justifies its use as a biomarker for disease onset and progression. Methylation patterns, or its dynamic change during treatment, may also be used as markers for patient stratification, disease prognosis, and response to treatment. Further investigations of methylation modifications as therapeutic biomarkers, which may correlate with therapeutic response and/or predict treatment toxicity, are still warranted.


Leukemia ◽  
2005 ◽  
Vol 19 (8) ◽  
pp. 1367-1375 ◽  
Author(s):  
M Iwai ◽  
H Kiyoi ◽  
K Ozeki ◽  
T Kinoshita ◽  
N Emi ◽  
...  

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 5112-5112
Author(s):  
Naoki Mori ◽  
Kentaro Yoshinaga ◽  
Mari Ohwashi ◽  
Toshiaki Kondoh ◽  
Hanae Shimura ◽  
...  

Abstract Abstract 5112 Inactivation of a tumor suppressor gene is often caused by a mutation, small deletion of one allele accompanied by loss of the second allele. Methylation in a promoter CpG of several tumor suppressor genes has recently been reported and has been associated with loss or decreased expression in many tumors. We previously reported frequent loss of heterozygosity on the short arm of chromosome 1 (1p) in the progression of myelodysplastic syndrome (MDS) to acute myeloid leukemia (AML). The retinoblastoma protein-interacting zinc finger gene RIZ maps to 1p36. Mouse gene knockout models show that RIZ1 inactivation can cause tumor susceptibility. Inactivation of the RIZ1 gene by promoter hypermethylation has been reported in breast, liver, and gastric carcinoma. Previous study showed altered expression of the RIZ1 gene in human leukemia. However, methylation status of the RIZ1 gene has not been well studied in hematological neoplasms. To determine the relevance of the RIZ1 methylation, we performed methylation specific-polymerase chain reaction (PCR) analysis on the RIZ1 gene in 34 patients with MDS and 17 with AML evolved from MDS (secondary AML) as well as 55 patients with de novo AML. The 34 MDS samples consisted of 13 refractory anemia (RA), 1 RA with ringed sideroblasts (RARS), 10 RA with excess of blasts (RAEB), 6 RAEB in transformation (RAEB-t), and 4 chronic myelomonocytic leukemia. The 55 de novo AML consisted of 1 M0, 12 M1, 17 M2, 7 M3, 8 M4, 7 M5, 1 M6, and 2 M7. Written informed consent was obtained from the patients. Methylation of the RIZ1 gene was detected in 17 of the 34 MDS (50%) and 22 of 72 de novo and secondary AML (31%) (p=0.053). Methylation was detected in 7 of 14 low risk MDS (50%) and 10 of 20 high risk MDS (50%). Patients with MDS were classified using the IPSS score. Frequency of methylation was not statistically different among IPSS subgroups (p=0.419). No statistical differences were observed between methylation and overall survival (3 years) or progression to AML. In AML patients, methylation was more frequent in secondary AML (11/17, 65%) than in de novo AML (11/55, 20%) (p=0.0005). To define the methylation status of the CpG in the RIZ1 promoter region, we performed bisulfite sequence in several samples with methylation. Bisulfite sequence analysis revealed methylation at many CpG sites in the promoter region. Expression of the RIZ1 gene was examined by quantitative real time reverse transcriptase-PCR analysis in 22 samples of MDS and AML. RIZ1 expression (mean) was not statistically different in secondary AML and de novo AML (2.026 vs. 1.900, p=0.815). RIZ1 expression (mean) was not statistically different in methylation-positive group and methylation-negative group (1.996 vs. 1.810, p=0.728). In comparison with expression of normal bone marrow cells, decreased RIZ1 expression was accompanied by methylation in 6 of 9 samples examined, while it was also observed in 7 of 13 without methylation. HL-60 myeloid leukemia cells with RIZ1 methylation were cultivated for 3 days in the presence of various concentrations of 5-Aza-dC. Treatment of the leukemia cells with 5 Aza-dC induced growth suppression with RIZ1 restoration. Our results suggest that the RIZ1 gene was inactivated in MDS and AML in part by methylation, whereas another mechanism of inactivation should be involved in others. Disclosures: No relevant conflicts of interest to declare.


2015 ◽  
Vol 61 (1) ◽  
pp. 249-258 ◽  
Author(s):  
Gerald B W Wertheim ◽  
Catherine Smith ◽  
Marlise Luskin ◽  
Alison Rager ◽  
Maria E Figueroa ◽  
...  

Abstract BACKGROUND Epigenetic dysregulation involving alterations in DNA methylation is a hallmark of various types of cancer, including acute myeloid leukemia (AML). Although specific cancer types and clinical aggressiveness of tumors can be determined by DNA methylation status, the assessment of DNA methylation at multiple loci is not routinely performed in the clinical laboratory. METHODS We recently described a novel microsphere-based assay for multiplex evaluation of DNA methylation. In the current study, we validated and used an improved assay [termed expedited microsphere HpaII small fragment Enrichment by Ligation-mediated PCR (xMELP)] that can be performed with appropriate clinical turnaround time. RESULTS Using the xMELP assay in conjunction with a new 17-locus random forest classifier that has been trained using 344 AML samples, we were able to segregate an independent cohort of 70 primary AML patients into methylation-determined subgroups with significantly distinct mortality risk (P = 0.009). We also evaluated precision, QC parameters, and preanalytic variables of the xMELP assay and determined the sensitivity of the random forest classifier score to failure at 1 or more loci. CONCLUSIONS Our results demonstrate that xMELP performance is suitable for implementation in the clinical laboratory and predicts AML outcome in an independent patient cohort.


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