Back

Demethylation and upregulation of an oncogene post hypomethylating treatment

Liu, Y.-C.; Fabiani, E.; Kwon, J.; Gao, C.; Falconi, G.; Valentini, L.; Gurnari, C.; Liu, Y. V.; Jones, A. I.; Yang, J.; Yang, H.; Thoms, J. A. I.; Unnikrishnan, A.; Pimanda, J. E.; Pan, R.; Voso, M. T.; Tenen, D. G.; Chai, L.

2020-07-26 oncology
10.1101/2020.07.21.20157776 medRxiv
Show abstract

BackgroundWhile hypomethylating agents (HMA) are currently used to treat myelodysplastic syndrome (MDS) and patients with cancer, their effects on reactivation and/or upregulation of oncogenes are generally not well elucidated. SALL4 is a known oncogene that plays an important role in MDS. In this study, we examined the impact of HMA on SALL4 methylation and expression. MethodsPaired bone marrow samples from a cohort of MDS patients on the BMT-AZA trial, collected before and after four cycles of azacytidine (AZA) treatment, were used to explore the relationship between changes in SALL4 expression, treatment response and clinical outcome with a follow-up of up to 40 months. No/low-SALL4 expressing leukemic cell lines were used to study the relationship between SALL4 methylation and expression. A novel locus-specific demethylation technology, CRISPR-DNMT1-interacting RNA (CRISPR-DiR), was used to identify the CpG island critical for SALL4 expression. ResultsIn MDS patients, we noted SALL4 upregulation after AZA treatment in 40% of the cases. Significantly, patients with SALL4 upregulation had a worse outcome. Using CRISPR-DiR, we discovered that demethylation of a 500bp CpG island within the 5UTR-Exon1-Intron1 region was critical for SALL4 expression. Importantly, in cell lines and patients, we confirmed that HMA treatment led to demethylation of the same CpG region and upregulation of SALL4 expression. ConclusionsCRISPR-DiR was useful to define the critical region important for gene activation. Along with analysis of patient samples, we demonstrated that demethylation and upregulation of an oncogene after HMA treatment can indeed occur and should be further studied.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
Cancers
200 papers in training set
Top 0.3%
10.3%
2
Clinical Epigenetics
53 papers in training set
Top 0.1%
7.0%
3
Blood Advances
54 papers in training set
Top 0.2%
6.5%
4
Scientific Reports
3102 papers in training set
Top 26%
4.4%
5
Leukemia
39 papers in training set
Top 0.3%
4.4%
6
Journal of Hematology & Oncology
10 papers in training set
Top 0.1%
4.4%
7
JCO Precision Oncology
14 papers in training set
Top 0.1%
4.1%
8
Blood Cancer Journal
11 papers in training set
Top 0.1%
4.1%
9
Frontiers in Oncology
95 papers in training set
Top 1%
3.7%
10
PLOS ONE
4510 papers in training set
Top 43%
3.0%
50% of probability mass above
11
BMC Bioinformatics
383 papers in training set
Top 3%
2.8%
12
Clinical Cancer Research
58 papers in training set
Top 0.7%
2.1%
13
JCO Clinical Cancer Informatics
18 papers in training set
Top 0.4%
1.7%
14
Clinical and Translational Medicine
30 papers in training set
Top 0.3%
1.7%
15
British Journal of Haematology
15 papers in training set
Top 0.3%
1.5%
16
Frontiers in Genetics
197 papers in training set
Top 5%
1.5%
17
International Journal of Molecular Sciences
453 papers in training set
Top 9%
1.4%
18
PeerJ
261 papers in training set
Top 10%
1.3%
19
Oncotarget
15 papers in training set
Top 0.2%
1.1%
20
Biomedicine & Pharmacotherapy
43 papers in training set
Top 0.7%
1.1%
21
Molecular Biology Reports
19 papers in training set
Top 0.4%
1.0%
22
Aging
69 papers in training set
Top 2%
1.0%
23
Nature Communications
4913 papers in training set
Top 59%
0.9%
24
Computers in Biology and Medicine
120 papers in training set
Top 4%
0.9%
25
Experimental Hematology
11 papers in training set
Top 0.2%
0.9%
26
npj Precision Oncology
48 papers in training set
Top 1%
0.9%
27
Haematologica
24 papers in training set
Top 0.4%
0.9%
28
Journal of Clinical Investigation
164 papers in training set
Top 6%
0.8%
29
Cells
232 papers in training set
Top 5%
0.8%
30
The Journal of Molecular Diagnostics
36 papers in training set
Top 0.4%
0.8%