Abstract
Background:
Acute lymphoblastic leukemia (ALL) is the most common malignancy in children. Epigenetic factors especially DNA methylation of promoter associated cytosine connected to guanine by phosphodiester bond (CpG islands) are considered as one of the most effective mechanisms in pathogenesis of ALL and have been demonstrated as a biomarker for lineage and subtype classification, prognostication, and disease progression.Objectives:
In the present study, we examined the relationship between the promoter hypermethylation of the mir-200b and mir-34a regulator genes on the Notch signaling pathway in patients with ALL and controls in order to investigate association between promoter hypermethylation and development, progression and clinical factors.Methods:
Genomic DNA was extracted from 60 samples (30 blood samples from leukemia patients and 30 normal samples) and modified by sodium bisulfite. Methylation-specific PCR was used to analyze the promoter methylation status of mir-34a and mir200b genes in the studied population. The results were analyzed with SPSS software version 20.Results:
Our results showed significant association of mir-200b (P < 0.0001) and mir-34a (P < 0.004) genes hypermethylation with ALL. Also there was significant relationship between hypermethylation of mir-200b gene with family history (P = 0.003) and platelets (P = 0.01), and methylation of mir-34a gene with cancer state (P = 0.003) and Hb (P = 0.001) in ALL.Conclusions:
In this study, we emphasized the important role of epigenetics on acute lymphoblastic leukemia development and progression. Our results showed that analysis of the methylation status of mir200b and mir-34a genes can provide novel prognostic markers for ALL.Keywords
Acute Lymphoblastic Leukemia Hypermethylation mir34a mir200b
1. Background
Acute lymphoblastic leukemia (ALL) is the most conventional hematologic malignancy in children, with an incidence maximum at 2 to 5 years of age (1). Aberrant genetic or epigenetic changes can lead to an interruption of differentiation and uncontrolled expansions of immature thymocytes in T-cell development (2). One of the key oncogenic signals in the initial T-cell development and T-ALL is Notch, which is efficiently active in more than 50% of T-ALLs (3). Notch signaling pathway regulation happens by its intra membrane proteolysis. Released intracellular fragment participates directly in transcriptional regulation of nuclear target genes.
Regulatory errors in Notch signaling are linked to numerous human disorders, such as cardiovascular disorders and malignancy (4). Regulated Notch function is crucial for the proliferation of T-cells, atypical Notch signaling leads to leukemia (5). Recently, an increasing number of analyses displayed that the miRNA expression pattern in ALL plays a significant role in the Notch1 regulatory route during the progress of leukemia (6, 7).
Mir-200 family members, located on human chromosomes 1 and 12, include five microRNAs: miR-200a, 200b, 200c and miR-141, 429 (8) and are known as regulators of the epithelial phenotype through suppression of ZEB1 and ZEB2 mRNA translation (9). This miRNA family has also been shown to have pleiotropic effects, including regulation of stem cell factors and features, indicative of their importance for tissue homeostasis (10). The 5- Cytosine connected to guanine by phosphodiester bond (5-CpG islands) hypermethylation-correlated silencing of both miR-200 loci is noticed in transformed cells with mesenchymal characteristics, consisting of low levels of ZEB1/ZEB2 and high E-cadherin expression, mesenchymal-epithelial transitions (MET) phenotype in tumor development (11). The miR-200 cluster, which targets Jagged1, has been described as a key regulator of the Notch pathway in cancer (8). In addition, miR-200 and miR-205 repression leads to activation of Notch signaling (12). In the hematopoietic system, Notch directly regulates the differentiation and maturation of normal T lymphocytes, the discrimination between the CD4 and CD8 lineages, and the expression of TCRα/β receptors (13, 14). Wang et al. showed that transfection of miR-200b in pancreatic cell line has reduced the levels of Jagged-1/2 and those of their target genes Hes-1, Hey-2 and Bcl-2 leading to cell growth inhibition (15).
The miR-34 cluster stimulates via the tumor suppressor p53 and is recognized to prevent epithelial-mesenchymal transition (EMT), and so, doubtless suppresses the initial stages of metastasis (16). Repression of miR-34a/b/c affects up-regulation of SNAIL (Snail family transcriptional repressor 1) with the show of EMT indicators and correlated features and increased migration or invasion. MiR-34a also represses SLUG (Snail family transcriptional repressor 2) and ZEB1 (17). MiR-34 cluster is placed in 11q position. Actually, down-regulation of miR-34a in CLL has been associated with p53 silence, reduced DNA damage response, and apoptosis resistor (18). MiR-34a is tumor suppressor miRNA with capability to adjust the expression of several targets known in tumorigenesis and cancer progress such as MET, MYC, CDK4/6, Notch1, BCL2, CD44 and various other molecules (19). Di Martino et al. have also indicated the possible miR-34a action in down-regulating both Bcl-2 and Notch1 and activation of apoptosis both in vitro and in mouse models (20).
Recent studies have displayed the deregulation of miRNA expression and contribution of miRNAs to the multistep processes of carcinogenesis such as oncogenes or tumor suppressor genes (TSGs) in human tumor (21). Also have extensively demonstrated that hypermethylation of promoters in ALL is a frequent mechanism of gene silencing and is associated with the prognosis and the response to treatment (22).
2. Objectives
In present study, we have investigated the relationship between the hypermethylation of promoter of suppressor gene of mir-200b and miR-34a with the Notch signal pathway in acute lymphoblastic leukemia patients.
3. Methods
3.1. Patients and Clinical Samples
We collected blood samples from patients diagnosed with ALL by observing ethical standards and obtaining consent from parents. Samples were obtained from patients referred to Mahak Hospital in Tehran, Iran, from 2015 to December 2017. University Ethical Committee approved this study (approval number: IR.IAU.Z.REC.1397.060/061). Participants’ clinical data included age, sex, BMI, stage of treatment, cancer type, white blood cells, platelets count and hemoglobin level.
Thirty blood samples were collected from patients with ALL with an average age of 5.43 years (range, 1 to 16 years). Patients were divided into two groups before treatment (new cases) and during treatment (under the control), 6 of these were repeated in the new cases and those under the control phase. Normal samples (n = 30) were collected from healthy participants with an average age of 6.163 years (range, 1 month to 13 years). These participants did not have any history of leukemia or clinical symptoms and were not related with the patients.
3.2. DNA Extraction and Methylation Specific PCR (MSP)
DNA was extracted from peripheral blood lymphocytes of the patients and normal controls using Cinaapure DNA (Cat.No.PR881612). After sodium bisulfite treatment of DNA, DNA methylation patterns in the mir-200b and mir-34a promoter region were determined using methylation-specific PCR (MSP). During bisulfite treatment, the unmethylated cytosines are modified to thymine while methylated cytosines remain unchanged. MSP analyses are capable of distinguishing homozygous or heterozygous methylation status in the samples. This method is based on the use of two primers to separate methylated from unmethylated DNA in bisulfite-modified DNA. Bisulfite modification of genomic DNA was done using EpiTect Plus DNA Bisulfite Kit (Cat No. /ID: 59124, QIAGEN Inc), according to manufacturer’s constructions. Primer sequences for selected microRNAs are shown in Table 1.
Summary of Primer Sequences and Annealing Temperatures for 200b Promoter Regions and PCR Product Sizes for MSP
| Primer | Primer Sequence | Annealing Temperature | Product Size, bp |
|---|---|---|---|
| 200b (FM) | 5’- GTCTCTAAAAAAATTTCGAAAACGAC-3’ | 57 | 189 |
| 200b (RM) | 5’- GGGAGTTTAGGGGATATATTTGTC-3’ | ||
| 200b (FU) | 5’- CCATCTCTAAAAAAATTTCAAAAACA-3’ | 57 | 189 |
| 200b (RU) | 5’- GAGTTTAGGGGATATATTTGTTGG-3’ | ||
| mir34a (FM) | 5’- GGT TTT GGG TAG GCG CGT TTC-3’ | 60 | 122 |
| mir34a (RM) | 5’- TCC TCA TCC CCT TCA CCG CCG -3’ | ||
| mir34a (FU) | 5’- GGTT TTG GGT AGG TGT GTT TT-3’ | 57 | 126 |
| mir34a (FU) | 5’- AAT CCT CAT CCC CTT CAC CAC CA-3’ |
Methylation specific polymerase chain reaction (MSP) of mir200b and mir-34a genes were performed with two primers designed for methylated and unmethylated regions. PCR reaction mix (20 µL) included 1X taq premix 10 µL, upstream primer (10 mol/µL) 1 µL, downstream primer (10 mol/µL) 1 µL, template DNA (100 ngr) 2 µL, sterilized DW 6 µL. Thermal cycling conditions were as follows: an initial denaturation step at 95°C for 5 minutes, followed by 35 cycles of 95°C denaturation for 45 seconds, annealing for 45 seconds (primer specific temperatures are listed in Table 1) and extensions at 72°C for 45 seconds, with a final extension at 72°C for 5 minutes. The PCR amplification products were electrophoresed on 2% agarose gel and visualized using the Image Analyzer, after staining with SYBR Safe DNA gel stain. If only unmethylated bands were seen during electrophoresis of MSP products, the sample was recorded as unmethylated; if methylated bands were seen, the sample was recorded as methylated; if unmethylated and methylated bands were observed, the sample was recorded as hemimethylated.
3.3. Statistical Analysis
All statistical analyses were performed with the Statistical Package for Social Sciences (SPSS, version 20). The differences between gene methylation status and Clinical Characteristics were evaluated using Pearson’s chi-square test. The association between hypermethylation of the genes and risk of ALL was estimated by calculating odds ratios (ORs) and 95% confidence intervals (CI) using the chi-square test and Fisher’s exact test. The association was considered as statistically significant if P < 0.05.
4. Results
Clinicopathological characteristics of patients (n = 30) were studied. Pathological diagnosis revealed that 18 were Pre-B and 1 Pro-B and 11 T-Cell according to WHO classification. Family history of cancer was reported in 9 of 30 cases. A total of 50% of patients were ≤ 6 years old, while 50% of patients were > 6 years old and only six of them were girls. Fatigue, weakness, fever, bone pain, hemoglobin level lower than 10 g/dL, platelet count (PLT) less than 100,000/µL were common symptoms of patients. Also white blood cell counts of patients were higher or lower than normal.
4.1. Methylation Analysis
The methylation status of the promoter region determined in 60 samples included 30 samples of healthy controls and 30 patients. Six patients were studied in the new case group and also during treatment. MSP data revealed that mir-200b and mir-34a genes promoter were methylated in 50% (15/30) and 30% (9/30), hemimethylated in 50% (15/30) and 56.6% (17/30) respectively, whereas un-methylation was observed in 0.0% and 13.4% (4/30) in patients’ samples. In comparison, control samples were methylated in 6.6% (2/30) and 10% (3/30), hemimethylated in 73.3% (22/30) and 30% (9/30), respectively; also un-methylated in 20% (6/30) and 60% (18/30). Our data showed that methylation of mir200b and mir-34a genes promoter significantly was associated with acute lymphoblastic leukemia (P < 0.0001 and P < 0.004, respectively) (Table 2).
| mir-200b | mir-34a | |||||
|---|---|---|---|---|---|---|
| Healthy, N = 30 | Patient, N = 24 | P Value | Healthy, N = 30 | Patient, N = 24 | P Value | |
| Methylated | 2 (3.7) | 13 (24.1) | 0.000 | 3 (10) | 6 (25) | 0.004 |
| Hemimethylated | 22 (40.7) | 11 (20.3) | 9 (30) | 14 (58.33) | ||
| Unmethylated | 6 (11.1) | 0 (0.0) | 18 (60) | 4 (16.66) | ||
We evaluated the relationships of aberrant hypermethylation with clinicopathological factors (Table 3). Our analysis showed that hypermethylation of mir-200b gene was associated with family history (P = 0.003) and platelets (P = 0.01) in ALL. Also there was a significant association of mir-34a gene methylation with patient status (P = 0.003) and Hb (P = 0.001), while no association was observed between age, WBC, platelets, blast lineage and the hypermethylation of any gene (Table 3).
Clinical Characteristics and Outcome of ALL Patients According to miRNAs Methylation Statusa,b
| Feature | mir-200b | mir-34a | ||||||
|---|---|---|---|---|---|---|---|---|
| Methylated | Hemimethylated | Unmethylated | P Value | Methylated | Hemimethylated | Unmethylated | P value | |
| Age, y | 0.7 | 0.48 | ||||||
| < 1 (1) | 1 (100) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (100) | 0 (0.0) | ||
| 1 - 3 (6) | 4 (66.7) | 2 (33.3) | 0 (0.0) | 3 (50) | 2 (33.3) | 1 (16.7) | ||
| 4 - 10 (16) | 8 (50) | 8 (50) | 0 (0.0) | 3 (18.7) | 10 (62.5) | 3 (18.7) | ||
| > 10 (1) | 0 (0) | 1 (100) | 0 (0.0) | 0 (0.0) | 1 (100) | 0 (0.0) | ||
| WBC × 109/L | 1 | 0.4 | ||||||
| < Normal (8) | 4 (50) | 4 (50) | 0 (0.0) | 3 (37.5) | 5 (62.5) | 0 (0) | ||
| Normal (6) | 3 (50) | 3 (50) | 0 (0.0) | 2 (33.33) | 2 (33.33) | 2 (33.33) | ||
| > Normal (10) | 6 (63.6) | 4 (36.4) | 0 (0.0) | 4 (40) | 5 (50) | 1 (10) | ||
| Patients’ status | 0.7 | 0.003 | ||||||
| New case (16) | 8 (50) | 8 (50) | 0 (0) | 9 (56.2) | 7 (43.8) | 0 (0) | ||
| Treated (8) | 5 (62.5) | 3 (37.5) | 0 (0) | 0 (0) | 5(62.5) | 3 (37.5) | ||
| Stage of cancer | 0.3 | 0.7 | ||||||
| Relapse (4) | 3 (75) | 1 (25) | 0 (0.0) | 0 (0.0) | 3 (75) | 1 (25) | ||
| Induction (1) | 1 (100) | 0 (0.0) | 0 (0.0) | 1 (100) | 0 (0.0) | 0 (0.0) | ||
| Consolidationn (7) | 3 (42.9) | 4 (57.1) | 0 (0.0) | 0 (0.0) | 5 (71.4) | 2 (28.6) | ||
| Maintenance (2) | 0 (0.0) | 2 (100) | 0 (0.0) | 0 (0.0) | 1 (50) | 1 (50) | ||
| Platelet (24) | 0.01 | 1 | ||||||
| Abnormal (24) | 6 (25) | 1 (4.2) | 0 (0.0) | 3 (12.5) | 3 (12.5) | 1 (4.1) | ||
| Normal (5) | 0 (0.0) | 5 (20.8) | 0 (0.0) | 2 (8.4) | 3 (12.5) | 0 (0.0) | ||
| Dangerous (12) | 7 (29.2) | 5 (20.8) | 0 (0.0) | 4(33.3) | 6 (50) | 2(16.7) | ||
| Hemoglobin (24) | 0.8 | 0.016 | ||||||
| Abnormal (18) | 10 (55.6) | 8 (44.4) | 0 (0.0) | 8 (0.0) | 10 (0.0) | 0 (0.0) | ||
| Normal (5) | 3 (60) | 2 (40) | 0 (0.0) | 1 (20.0) | 2 (40.0) | 2 (40.0) | ||
| Dangerous (1) | 0 (0.0) | 1 (100) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (100) | ||
| Blast lineage (24) | 0.7 | 0.7 | ||||||
| Pre-B (15) | 8 (53.3) | 7 (46.7) | 0 (0.0) | 7 (46.7) | 6 (40) | 2 (13.3) | ||
| Pro-B (1) | 0 (0.0) | 1 (100.0) | 0 (0.0) | 0 (0.0) | 1 (100.0) | 0 (0.0) | ||
| T cell (8) | 5 (62.5) | 3 (37.5) | 0 (0.0) | 2 (25) | 5 (62.5) | 1 (12.5) | ||
| Family history history (24) | 0.03 | 0.7 | ||||||
| No (16) | 6 (37.5) | 10 (62.5) | 5 (31.2) | 10 (62.5) | 1 (6.3) | |||
| Yes (8) | 7 (87.5) | 1 (12.5) | 4 (50) | 2 (25) | 2 (25) | |||
In this study the methylation pattern of the promoter region for mir200b and mir-34a genes in 14 of 30 patients with leukemia who were in the stages of consolidation (n = 7), induction (n = 1), maintenance (n = 2) and relapse (n = 4) of treatment phases showed that the stage of treatment did not have a significant relationship with leukemia (P = 0.3, P = 1).
Six of the 30 patients were studied in the new cases group and also during treatment. The comparison of methylation pattern before and after treatment showed that 2 of 6 patients who were treated with vincristine (1.5 mg/m2/IV), mercaptopurine (50 mg/m2), and methotrexate (20 mg/m2) in the maintenance stage had been changed from methylated to hemimethylated in the mir-200b gene and from methylated to hemimethylated and unmethylated in the mir-34a gene. Also 4 of 6 patients who were treated with L-asparaginase (5000 u/m2/infusion) and vincristine (1.5 mg/m2/IV) in the consolidation stage showed that methylation pattern in 2 of these patients did not change in the mir-200b gene but in one patient it changed from methylated to hemimethylated and in another patient from hemimethylated to methylated. The pattern of methylation of mir-34a gene promoter in 3 of 4 patients did not change and in one patient it had changed from methylated to hemimethylated in the consolidation stage. The type of medication and their prescribing time at each stage are listed in Table 4.
Drugs and Their Prescribing Time at Each Stage of Cancer
| Medication | Stage of the Cancer |
|---|---|
| L-Asparaginase | Consolidation |
| Vincristine | Consolidation and maintenance |
| Cytarabine | Induction |
| Mercaptopurine | Induction and maintenance |
| Methotrexate | Induction and maintenance |
| Cyclophosphamide | Induction |
| 5-fluorouracil/leucovorin | Induction |
5. Discussion
According to literature, DNA methylation tends to happen in the promoter region of the genes and is one of the most studied epigenetic anomalies in the oncogenesis (23, 24). In recent years miRNAs have become definitely recognized as key molecular components of the cell in both normal and pathologic conditions (25). MiRNA genes are connected to CpG islands, which terminate to the great mechanism that can lead to abnormal epigenetic alteration (26). Changes in expression of miRNAs has been contributed to leukemogenesis and seems to have an effect on regulatory pathways of growth in ALL. Several specific miRNAs associated with pediatric ALL consist of miRNA (miR) miR-34, miR-128, miR-142, and miR-181, all stated to be more expressed (27, 28).
Our results have indicated that promoter methylation of mir-200b and mir-34a genes are related with ALL. Also this study indicates the role of promoter hypermethylation status of these two genes in carcinogenesis and molecular predictor of cancer progress. Wiklund et al. in 2011 found that in muscle invasive bladder tumors and undifferentiated bladder cell lines, miR-200 family silencing was associated with DNA hypermethylation (29). Aberrant hypermethylation of miR-34a has been exposed in various hematological malignancies like B-cell chronic lymphocytic leukemia, multiple myeloma and lymphomas, but not in samples from patients with ALL (30). MiR-34 family controls the regulation of Notch1 and Notch 2 protein expressions in glioma cells, pancreatic and prostate tumor cells by interfering the inhibition of self-renewal and differentiation features of Cancer Stem Cells (CSCs) (31). Li et al. for the first time in relation to increased levels of Notch with the miR-34a down-regulation in glioblastoma and medulloblastoma, disclosed that miR-34a directed both Notch-1 and Notch-2 (32). Our study and similar researches on other cancers revealed that hypermethylation of promoter of mir-200b and mir-34a genes on the Notch signal pathway correlate with increased tumor metastases and prognosis of cancer so that demethylation of mir-200b and miR-34 can be eventually used as cancer therapeutic by down-regulating the Notch family members.
In this study patients were treated with drugs like L-asparaginase, vincristine, prednisolone, cytarabine, mercaptopurine, methotrexate, cyclophosphamide and 5-fluorouracil/leucovorin. Hogarth et al. showed that mercaptopurine and cyclophosphamide drugs inhibit DNA methylation (33). But in another study Wang et al. showed that methotrexate and cyclophosphamide drugs cause DNA methylation (34). Also Zhang et al. found that 5-fluorouracil/leucovorin had no effect on methylation in leukemia (35). Moon et al. studied vincristine stimulated demethylation of methylated genes in colorectal tumor cells with 5- azacytidine (AZA) (36). In vitro studies, there are numerous proposals indicating that epigenetic modulation can be significant in the pathogenesis of ALL (37). AZA is a hypomethylating mediator with well-established action in myelodysplastic syndrome and acute myeloid leukemia, but not in ALL (38, 39).
Saiki et al. in 1978 showed the effect of AZA on patients with leukemia and displayed that only 4% of 66 patients with acute lymphoblastic leukemia had recovered perfectly while about 8% responded to treatment. They indicate that the intensity of AZA toxicity, especially in the form of nausea and vomiting, is the main limitation of treatment (40). Hoshino et al. in 2007 demonstrated that Hck tyrosine kinase gene promoter CpG island is aberrantly methylated in leukemia (56.5% in hematopoietic and 80% in non-hematopoietic cell lines) but treatment with 5-aza-2’-deoxycytidine stimulate demethylation of Hck mRNA and protein expression (41). It seems that AZA can be considered as a therapeutic option simultaneously with the administration of anti-leukemia drugs in the treatment of acute lymphoblastic leukemia.
We observed a significant association of mir-200b gene promoter hypermethylation with platelets (P < 0.05) and family history (P < 0.05) in acute lymphoblastic leukemia, also miR-34 gene with cancer state (P < 0.05) and hemoglobin (P < 0.05).
5.1. Conclusions
The methylation of promoter mir200b and mir-34a genes can affect regulation of the key pathways involved in leukemogenesis such as that of Notch pathway. Therefore the use of drugs to reverse epigenetic changes alone or in combination with standard chemotherapy can provide a therapeutic advantage for these patients.
References
-
1.
Inaba H, Greaves M, Mullighan CG. Acute lymphoblastic leukaemia. Lancet. 2013;381(9881):1943-55. [PubMed ID: 23523389]. [PubMed Central ID: PMC3816716]. https://doi.org/10.1016/S0140-6736(12)62187-4.
-
2.
Koch U, Radtke F. Mechanisms of T cell development and transformation. Annu Rev Cell Dev Biol. 2011;27:539-62. [PubMed ID: 21740230]. https://doi.org/10.1146/annurev-cellbio-092910-154008.
-
3.
Ye F. MicroRNA expression and activity in T-cell acute lymphoblastic leukemia. Oncotarget. 2018;9(4):5445-58. [PubMed ID: 29435192]. [PubMed Central ID: PMC5797063]. https://doi.org/10.18632/oncotarget.23539.
-
4.
Urbanek K, Lesiak M, Krakowian D, Koryciak-Komarska H, Likus W, Czekaj P, et al. Notch signaling pathway and gene expression profiles during early in vitro differentiation of liver-derived mesenchymal stromal cells to osteoblasts. Lab Invest. 2017;97(10):1225-34. [PubMed ID: 28805807]. https://doi.org/10.1038/labinvest.2017.60.
-
5.
Li X, von Boehmer H. Notch signaling in T-cell development and T-ALL. ISRN Hematol. 2011;2011:921706. [PubMed ID: 22111016]. [PubMed Central ID: PMC3200084]. https://doi.org/10.5402/2011/921706.
-
6.
Li Q, Liu L, Li W. Identification of circulating microRNAs as biomarkers in diagnosis of hematologic cancers: A meta-analysis. Tumour Biol. 2014;35(10):10467-78. [PubMed ID: 25053601]. https://doi.org/10.1007/s13277-014-2364-4.
-
7.
Cui J. MiR-16 family as potential diagnostic biomarkers for cancer: A systematic review and meta-analysis. Int J Clin Exp Med. 2015;8(2):1703-14. [PubMed ID: 25932099]. [PubMed Central ID: PMC4402746].
-
8.
Chen Y, Zhang L. Members of the microRNA-200 family are promising therapeutic targets in cancer. Exp Ther Med. 2017;14(1):10-7. [PubMed ID: 28672887]. [PubMed Central ID: PMC5488420]. https://doi.org/10.3892/etm.2017.4488.
-
9.
Hur K, Toiyama Y, Takahashi M, Balaguer F, Nagasaka T, Koike J, et al. MicroRNA-200c modulates epithelial-to-mesenchymal transition (EMT) in human colorectal cancer metastasis. Gut. 2013;62(9):1315-26. [PubMed ID: 22735571]. [PubMed Central ID: PMC3787864]. https://doi.org/10.1136/gutjnl-2011-301846.
-
10.
Schliekelman MJ, Gibbons DL, Faca VM, Creighton CJ, Rizvi ZH, Zhang Q, et al. Targets of the tumor suppressor miR-200 in regulation of the epithelial-mesenchymal transition in cancer. Cancer Res. 2011;71(24):7670-82. [PubMed ID: 21987723]. [PubMed Central ID: PMC3419137]. https://doi.org/10.1158/0008-5472.CAN-11-0964.
-
11.
Davalos V, Moutinho C, Villanueva A, Boque R, Silva P, Carneiro F, et al. Dynamic epigenetic regulation of the microRNA-200 family mediates epithelial and mesenchymal transitions in human tumorigenesis. Oncogene. 2012;31(16):2062-74. [PubMed ID: 21874049]. [PubMed Central ID: PMC3330264]. https://doi.org/10.1038/onc.2011.383.
-
12.
Brabletz S, Bajdak K, Meidhof S, Burk U, Niedermann G, Firat E, et al. The ZEB1/miR-200 feedback loop controls Notch signalling in cancer cells. EMBO J. 2011;30(4):770-82. [PubMed ID: 21224848]. [PubMed Central ID: PMC3041948]. https://doi.org/10.1038/emboj.2010.349.
-
13.
Kelliher MA, Roderick JE. NOTCH signaling in T-cell-mediated anti-tumor immunity and T-cell-based immunotherapies. Front Immunol. 2018;9:1718. [PubMed ID: 30967879]. [PubMed Central ID: PMC6109642]. https://doi.org/10.3389/fimmu.2018.01718.
-
14.
Bongiovanni D, Saccomani V, Piovan E. Aberrant signaling pathways in T-cell acute lymphoblastic leukemia. Int J Mol Sci. 2017;18(9). [PubMed ID: 28872614]. [PubMed Central ID: PMC5618553]. https://doi.org/10.3390/ijms18091904.
-
15.
Wang Z, Banerjee S, Ahmad A, Li Y, Azmi AS, Gunn JR, et al. Activated K-ras and INK4a/Arf deficiency cooperate during the development of pancreatic cancer by activation of Notch and NF-kappaB signaling pathways. PLoS One. 2011;6(6). e20537. [PubMed ID: 21673986]. [PubMed Central ID: PMC3108612]. https://doi.org/10.1371/journal.pone.0020537.
-
16.
Rokavec M, Oner MG, Li H, Jackstadt R, Jiang L, Lodygin D, et al. IL-6R/STAT3/miR-34a feedback loop promotes EMT-mediated colorectal cancer invasion and metastasis. J Clin Invest. 2014;124(4):1853-67. [PubMed ID: 24642471]. [PubMed Central ID: PMC3973098]. https://doi.org/10.1172/JCI73531.
-
17.
Xishan Z, Ziying L, Jing D, Gang L. MicroRNA-320a acts as a tumor suppressor by targeting BCR/ABL oncogene in chronic myeloid leukemia. Sci Rep. 2015;5:12460. [PubMed ID: 26228085]. [PubMed Central ID: PMC4521206]. https://doi.org/10.1038/srep12460.
-
18.
Balatti V, Acunzo M, Pekarky Y, Croce CM. Novel mechanisms of regulation of miRNAs in CLL. Trends Cancer. 2016;2(3):134-43. [PubMed ID: 27213184]. [PubMed Central ID: PMC4874335]. https://doi.org/10.1016/j.trecan.2016.02.005.
-
19.
Misso G, Di Martino MT, De Rosa G, Farooqi AA, Lombardi A, Campani V, et al. Mir-34: A new weapon against cancer? Mol Ther Nucleic Acids. 2014;3. e194. [PubMed ID: 25247240]. [PubMed Central ID: PMC4222652]. https://doi.org/10.1038/mtna.2014.47.
-
20.
Di Martino MT, Leone E, Amodio N, Foresta U, Lionetti M, Pitari MR, et al. Synthetic miR-34a mimics as a novel therapeutic agent for multiple myeloma: In vitro and in vivo evidence. Clin Cancer Res. 2012;18(22):6260-70. [PubMed ID: 23035210]. [PubMed Central ID: PMC4453928]. https://doi.org/10.1158/1078-0432.CCR-12-1708.
-
21.
Slattery ML, Herrick JS, Mullany LE, Samowitz WS, Sevens JR, Sakoda L, et al. The co-regulatory networks of tumor suppressor genes, oncogenes, and miRNAs in colorectal cancer. Genes Chromosomes Cancer. 2017;56(11):769-87. [PubMed ID: 28675510]. [PubMed Central ID: PMC5597468]. https://doi.org/10.1002/gcc.22481.
-
22.
Chaber R, Gurgul A, Wrobel G, Haus O, Tomon A, Kowalczyk J, et al. Whole-genome DNA methylation characteristics in pediatric precursor B cell acute lymphoblastic leukemia (BCP ALL). PLoS One. 2017;12(11). e0187422. [PubMed ID: 29125853]. [PubMed Central ID: PMC5695275]. https://doi.org/10.1371/journal.pone.0187422.
-
23.
Kim J, Bretz CL, Lee S. Epigenetic instability of imprinted genes in human cancers. Nucleic Acids Res. 2015;43(22):10689-99. [PubMed ID: 26338779]. [PubMed Central ID: PMC4678850]. https://doi.org/10.1093/nar/gkv867.
-
24.
Loginov VI, Rykov SV, Fridman MV, Braga EA. Methylation of miRNA genes and oncogenesis. Biochemistry (Mosc). 2015;80(2):145-62. [PubMed ID: 25756530]. https://doi.org/10.1134/S0006297915020029.
-
25.
Ebert MS, Sharp PA. Roles for microRNAs in conferring robustness to biological processes. Cell. 2012;149(3):515-24. [PubMed ID: 22541426]. [PubMed Central ID: PMC3351105]. https://doi.org/10.1016/j.cell.2012.04.005.
-
26.
Weber B, Stresemann C, Brueckner B, Lyko F. Methylation of human microRNA genes in normal and neoplastic cells. Cell Cycle. 2007;6(9):1001-5. [PubMed ID: 17457051]. https://doi.org/10.4161/cc.6.9.4209.
-
27.
Szymczyk A, Macheta A, Podhorecka M. Abnormal microRNA expression in the course of hematological malignancies. Cancer Manag Res. 2018;10:4267-77. [PubMed ID: 30349361]. [PubMed Central ID: PMC6183594]. https://doi.org/10.2147/CMAR.S174476.
-
28.
Yeh CH, Moles R, Nicot C. Clinical significance of microRNAs in chronic and acute human leukemia. Mol Cancer. 2016;15(1):37. [PubMed ID: 27179712]. [PubMed Central ID: PMC4867976]. https://doi.org/10.1186/s12943-016-0518-2.
-
29.
Wiklund ED, Bramsen JB, Hulf T, Dyrskjot L, Ramanathan R, Hansen TB, et al. Coordinated epigenetic repression of the miR-200 family and miR-205 in invasive bladder cancer. Int J Cancer. 2011;128(6):1327-34. [PubMed ID: 20473948]. https://doi.org/10.1002/ijc.25461.
-
30.
Chim CS, Wong KY, Qi Y, Loong F, Lam WL, Wong LG, et al. Epigenetic inactivation of the miR-34a in hematological malignancies. Carcinogenesis. 2010;31(4):745-50. [PubMed ID: 20118199]. https://doi.org/10.1093/carcin/bgq033.
-
31.
Prokopi M, Kousparou CA, Epenetos AA. The Secret Role of microRNAs in Cancer Stem Cell Development and Potential Therapy: A Notch-Pathway Approach. Front Oncol. 2014;4:389. [PubMed ID: 25717438]. [PubMed Central ID: PMC4324081]. https://doi.org/10.3389/fonc.2014.00389.
-
32.
Li Y, Guessous F, Zhang Y, Dipierro C, Kefas B, Johnson E, et al. MicroRNA-34a inhibits glioblastoma growth by targeting multiple oncogenes. Cancer Res. 2009;69(19):7569-76. [PubMed ID: 19773441]. [PubMed Central ID: PMC2756313]. https://doi.org/10.1158/0008-5472.CAN-09-0529.
-
33.
Hogarth L, Redfern C, Hall A, Coulthard S. nhibition of DNA methylation by 6-mercaptopurine and 6-thioguanine. IAACR Annual Meeting. 2007. p. 14-8.
-
34.
Wang X, Guan Z, Chen Y, Dong Y, Niu Y, Wang J, et al. Genomic DNA hypomethylation is associated with neural tube defects induced by methotrexate inhibition of folate metabolism. PLoS One. 2015;10(3). e0121869. [PubMed ID: 25822193]. [PubMed Central ID: PMC4379001]. https://doi.org/10.1371/journal.pone.0121869.
-
35.
Zhang J, Yuan B, Zhang F, Xiong L, Wu J, Pradhan S, et al. Cyclophosphamide perturbs cytosine methylation in Jurkat-T cells through LSD1-mediated stabilization of DNMT1 protein. Chem Res Toxicol. 2011;24(11):2040-3. [PubMed ID: 22007908]. [PubMed Central ID: PMC3221796]. https://doi.org/10.1021/tx2003849.
-
36.
Moon JW, Lee SK, Lee JO, Kim N, Lee YW, Kim SJ, et al. Identification of novel hypermethylated genes and demethylating effect of vincristine in colorectal cancer. J Exp Clin Cancer Res. 2014;33:4. [PubMed ID: 24393480]. [PubMed Central ID: PMC3923411]. https://doi.org/10.1186/1756-9966-33-4.
-
37.
Yokota T, Kanakura Y. Genetic abnormalities associated with acute lymphoblastic leukemia. Cancer Sci. 2016;107(6):721-5. [PubMed ID: 26991355]. [PubMed Central ID: PMC4968601]. https://doi.org/10.1111/cas.12927.
-
38.
Czibere A, Bruns I, Kroger N, Platzbecker U, Lind J, Zohren F, et al. 5-Azacytidine for the treatment of patients with acute myeloid leukemia or myelodysplastic syndrome who relapse after allo-SCT: A retrospective analysis. Bone Marrow Transplant. 2010;45(5):872-6. [PubMed ID: 19820729]. https://doi.org/10.1038/bmt.2009.266.
-
39.
Achille NJ, Othus M, Phelan K, Zhang S, Cooper K, Godwin JE, et al. Association between early promoter-specific DNA methylation changes and outcome in older acute myeloid leukemia patients. Leuk Res. 2016;42:68-74. [PubMed ID: 26818573]. [PubMed Central ID: PMC4779662]. https://doi.org/10.1016/j.leukres.2016.01.004.
-
40.
Saiki JH, McCredie KB, Vietti TJ, Hewlett JS, Morrison FS, Costanzi JJ, et al. 5-azacytidine in acute leukemia. Cancer. 1978;42(5):2111-4. [PubMed ID: 82472]. https://doi.org/10.1002/1097-0142(197811)42:5<2111::aid-cncr2820420505>3.0.co;2-i.
-
41.
Hoshino K, Quintas-Cardama A, Yang H, Sanchez-Gonzalez B, Garcia-Manero G. Aberrant DNA methylation of the Src kinase Hck, but not of Lyn, in Philadelphia chromosome negative acute lymphocytic leukemia. Leukemia. 2007;21(5):906-11. [PubMed ID: 17344919]. https://doi.org/10.1038/sj.leu.2404615.