Literature DB >> 27351222

MicroRNA-106b~25 cluster is upregulated in relapsed MLL-rearranged pediatric acute myeloid leukemia.

Lonneke J Verboon1, Askar Obulkasim1, Jasmijn D E de Rooij1, Jenny E Katsman-Kuipers1, Edwin Sonneveld2, André Baruchel3, Jan Trka4, Dirk Reinhardt5, Rob Pieters6, Jacqueline Cloos7, Gertjan J L Kaspers7, Jan-Henning Klusmann8, Christian Michel Zwaan1, Maarten Fornerod1, Marry M van den Heuvel-Eibrink1,6.   

Abstract

The most important reason for therapy failure in pediatric acute myeloid leukemia (AML) is relapse. In order to identify miRNAs that contribute to the clonal evolution towards relapse in pediatric AML, miRNA expression profiling of 127 de novo pediatric AML cases were used. In the diagnostic phase, no miRNA signatures could be identified that were predictive for relapse occurrence, in a large pediatric cohort, nor in a nested mixed lineage leukemia (MLL)-rearranged pediatric cohort. AML with MLL- rearrangements are found in 15-20% of all pediatric AML samples, and reveal a relapse rate up to 50% for certain translocation partner subgroups. Therefore, microRNA expression profiling of six paired initial diagnosis-relapse MLL-rearranged pediatric AML samples (test cohort) and additional eight paired initial diagnosis-relapse samples with MLL-rearrangements (validation cohort) was performed. A list of 53 differentially expressed miRNAs was identified of which the miR-106b~25 cluster, located in intron 13 of MCM7, was the most prominent. These differentially expressed miRNAs however could not predict a relapse in de novo AML samples with MLL-rearrangements at diagnosis. Furthermore, higher mRNA expression of both MCM7 and its upstream regulator E2F1 was found in relapse samples with MLL-rearrangements. In conclusion, we identified the miR-106b~25 cluster to be upregulated in relapse pediatric AML with MLL-rearrangements.

Entities:  

Keywords:  MLL; acute myeloid leukemia; miR-106b~25; relapse

Mesh:

Substances:

Year:  2016        PMID: 27351222      PMCID: PMC5217027          DOI: 10.18632/oncotarget.10270

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Acute myeloid leukemia (AML) is a heterogeneous disease characterized by various molecular and cytogenetic abnormalities, like chromosome rearrangements and mutations in different genes [1]. Although survival rates have improved over the last decade, still overall survival does not exceed 70% in most biological groups [2]. Pediatric AMLs with mixed lineage leukemia (MLL) rearrangements (or KMT2A, lysine (K)-specific methyltransferase 2A) represent about 20% of all pediatric AML patients [3]. The clinical outcome of this group, in general, is intermediate, however substantial differences in overall survival related to certain MLL translocation partners have been reported. In particular cases with t(10;11)(p12;q23), t(10;11)(p11.2,q23), or t(6;11)(q27;q23) represent a very poor-risk group, mainly due to early relapses. Approximately 50% of AML patients with t(10;11) and t(6;11) MLL-rearrangements will relapse during or after therapy [4]. The biological processes that determine relapse and subsequent therapy failure in MLL-rearranged AML are largely unknown. Gene expression is regulated via transcription, RNA processing, and mRNA translation. Recently microRNAs (miRNAs) have been identified to control expression of relevant leukemogenic drivers. MiRNAs are the epigenetic fine-tuners of gene expression, and deregulation has been described in a variety of human cancer types, including adult AML [5]. MicroRNA genes are often found in chromosomal regions that are deleted, amplified or involved in translocations in cancer [6, 7]. MiRNAs can act as tumor suppressors as well as oncogenes [8]. This is determined by cell type and physiological context [9]. For instance, the oncogenic miR-17~92 cluster has been shown to be overexpressed in MLL-rearranged acute leukemias probably due to amplification of the genomic locus 13q31.3 and by direct upregulation caused by MLL fusion genes [10, 11]. Due to epigenetic modifying properties, miRNAs play an important role in the translation of mRNA into protein [12]. However, to date, the role of miRNAs in leukemogenesis in pediatric AML, especially in the process of clonal expansion towards relapse is limited. The aim of this study was to determine whether specific miRNAs are involved in, or can predict relapse development in general and, in particular, in MLL-rearranged pediatric AML.

RESULTS

MicroRNA profiling in a cohort of 127 de novo AML cases was performed recently by Emmrich et al [13]. To explore whether relapse can be predicted in de novo setting of pediatric AML, we compared miRNA expression profiles of de novo pediatric AML patients that eventually relapsed, with those that did not relapse. Subsequently, we performed the same comparison, only in the nested subset MLL-rearranged AML cases. Of 127 de novo AML cases, 59/127 (46.5%) relapsed after complete remission (S1 Table). No statistically significant miRNAs were identified when we compared relapsing and non-relapsing cases at diagnosis (p=0.643), neither when type II aberrations were used as a confounder. Also in the nested cohort of de novo pediatric AML MLL-rearranged cases (4 AF6, 7 AF9, 9 AF10, 1 FNBP1, 1 SEPT6, and 1 NRIP3)(S2 Table), of which 14/23 (60.9%) relapsed, no difference in miRNA expression profile was found between cases that relapsed and cases that recurred (p=0.429).

MiRNAs are differentially expressed in initial diagnosis-relapse samples with MLL-rearrangements

To investigate a potential role for miRNAs in clonal evolution towards relapsed disease in pediatric MLL-rearranged AML, we conducted miRNA expression profiling in a cohort of six paired initial diagnosis-relapse samples with various MLL-rearrangements (Table 1). A total of 53 significantly (BFDR<0.1) differentially expressed miRNAs were identified using the Bayesian approach (Figure 1). We observed that all these miRNAs were overexpressed (≥2 fold change) in the relapse samples compared to the initial diagnosis. None of the 53 miRNAs, turned out to be significant when were used to discriminate the de novo pediatric MLL-rearranged AML cases that relapsed from those that did not relapse based on miRNA profiles at diagnosis (p= 0.193).
Table 1

Characteristics of pediatric MLL-rearranged AML patients included in the paired sample study

IDArrayAge (y)SexWBC (x 109/L)FABKaryotype sampleTPType 1 DiagnosisType 1 Relapse
1MC1.6M16.1M5Dx: 46, XY,del(10)(p12), der(11)(t(10;11)(p12;q2?3)[20]R: N/AAF10NRASNone
2MC0.3FNANADx: UnknownR: UnknownAF9NoneNone
3MC1.2M23.0M7Dx: 46, XY, t(9;11)(p22;q23)R: 46, XY [12], 47, XY, t(9;11)(p22;q23), ?del(18)(q2?1), +19 [1], 50~53, XY, +6, +6[4], del(9)(q3?3), +del(9)(q3?3)[5], t(9;11)(p22;q23), −18, ?de;(18)(q2?1), +19, +20, +21, +21, +mar1, +mar1 / 46, XYAF9NoneNone
4MC12.8M2.5M5Dx: 46, XYR: 46, XY, ?del(11)(p15)[cp5]AF10NoneNone
5MC1.9M237.0M5Dx: 46, XY, add(11)(q23)[19]/46,XY[2]R: 46, XY, add(11)(q23)[24]AF10NoneKRAS
6MC7.6M129.0M5Dx: 46, XY, ?t(3;11)(q26;q12) inv(11)(q12q23)]/46, XY[1]R: 53,XY,?t(3;11)(q26;q21),+6,+8,+18,+19,+21,+21,+22 ish t(3;11)(q26;q12)inv(11)(q12q23) [10]/ 46,XY [6]AF10NRASNone
7V5.3M34.0M4 or M5Dx: 46,XY,add(11)(q23),del(12)(p11p13)[4]/46,XY[22]R: 46, XY[20]/add(11q23)del(12)(p12-13)[4]UnkNoneNone
8V1.4F3.2M5Dx: 46,XX,der(10)ins(10;11)(p12;q23q13),der(11)?der(11)(p1?)ins(10;11) [13]/ 46,XX [9]R: 46,XX,der(10)ins(10;11)(p12;q23q13),der(11)?der(11)(p1?)ins(10;11) [13]/ 46,XX [9]AF10NoneNone
9V10.8M67.0M5Dx: 46,XY[20]R: 46,XY[20] ish ins (10;11)(p;q23q23) (5′ MLL+) [6/10]AF10NRASNone
10V9.5F45.7M0Dx: 51~53,XX,+2,+4,+6,+10,+add(11)(p?15),+13,−18,+21,+22,inc[cp10]R: NDAF10FLT3-ITD1None
11V14.1M42.0M5Dx: 46~47,X,der(Y)t(Y,1)(q12,q12),der(8;12)(q10,q10),+1-2mar [8]R: 46~47,X,der(Y)t(Y,1)(q12,q12),der(8;12)(q10,q10),+1-2mar [8]AF10NoneNone
12V8.5M106.0M1Dx: 46,XY,add(11)(q23),incR: 46,XY,add(11)(q23),incELLNone*WT1
13V10.6F5.5M5Dx: 47, XX, +8, cryptic ins(10;11)(p1?;q23q23)R: 45~50, XX, der(1)add(1)(p36)add(1)(q2?1), der(1)addAF10NRASNone
14V11.4MNDM5Dx: 47,XY,+8,t(11;19)(q23;p13.3)[9]/46,XY[1]R: 47,XY,+8,t(11;19)(q23;p13.3)[6]/46,XY[4]ENLNoneNone

Abbreviations: WBC indicates white blood cell count; FAB, French American British morphology classification; ND, not determined; NA, not available; Dx, diagnosis; R, relapse; Type I mutations screened for NRAS, KRAS, FLT3, PTPN11, KIT and WT1. 1) heterozygote;

not screened for WT1;

used for Western blot. MLL translocations were determined either with FISH or RT-PCR

Figure 1

MicroRNA expression in paired initial diagnosis-relapse samples with MLL-rearrangements as determined by Taqman Low Density Arrays

Expression of 53 differentially expressed miRNAs as measured by TLDA of 6 paired pediatric AML initial-relapse cases with MLL-rearrangements. Expression is significantly higher in relapse samples as compared to initial diagnosis. Data are presented as median miRNA changes in relapse (BFDR<0,1).

Abbreviations: WBC indicates white blood cell count; FAB, French American British morphology classification; ND, not determined; NA, not available; Dx, diagnosis; R, relapse; Type I mutations screened for NRAS, KRAS, FLT3, PTPN11, KIT and WT1. 1) heterozygote; not screened for WT1; used for Western blot. MLL translocations were determined either with FISH or RT-PCR

MicroRNA expression in paired initial diagnosis-relapse samples with MLL-rearrangements as determined by Taqman Low Density Arrays

Expression of 53 differentially expressed miRNAs as measured by TLDA of 6 paired pediatric AML initial-relapse cases with MLL-rearrangements. Expression is significantly higher in relapse samples as compared to initial diagnosis. Data are presented as median miRNA changes in relapse (BFDR<0,1). To confirm these findings, we selected 22 miRNAs, the top ten most differentially expressed miRNAs (Supplementary Figure S1) and 12 potential oncogenic miRNAs from literature, out of 53 significant miRNAs for validation with stem-loop RT-qPCR. A replication set of eight additional initial diagnosis-relapse samples with MLL-rearrangements was included in this analysis (Table 1). Among these 22 miRNAs, 12 were confirmed to be significantly upregulated in the relapse samples (Wilcoxon signed rank test; p<0.05), nine failed to pass the significance threshold, and one miRNA could not be detected in any samples. The one-sided Wilcoxon signed-rank test was used to assess differential expression of the 22 selected miRNAs between initial and relapse samples. In subsequent analyses, miRNA-532-3p was excluded as it was undetectable with RT-qPCR. A significant overall difference was found in miRNA expression between the initial and relapse (global test p<0,001)(Figure 2 and Supplementary Table S3).
Figure 2

MiRNA expression in paired pediatric AML initial diagnosis-relapse cases with stem-loop RT-qPCR

Median miRNA expression levels were determined with single stem loop RT-qPCR per miRNA between initial diagnosis and relapse and are significantly different. A large spread is found in miRNA expression levels of validated miRNAs. Data is presented with one-sided P-value.

MiRNA expression in paired pediatric AML initial diagnosis-relapse cases with stem-loop RT-qPCR

Median miRNA expression levels were determined with single stem loop RT-qPCR per miRNA between initial diagnosis and relapse and are significantly different. A large spread is found in miRNA expression levels of validated miRNAs. Data is presented with one-sided P-value.

MiR-106b-25 cluster is overexpressed in relapsed MLL-rearranged AML

Among the 53 identified overexpressed miRNAs, miR-106b-5p was ranked as one of the most prominently overexpressed miRNAs. MiR-106b clusters together with miR-93-5p and miR-25-3p (miR-106b~25 cluster) in intron 13 of minichromosome maintenance complex component 7 (MCM7) on chromosome 7, which were part of the top list differentially expressed miRNAs. This cluster is actively co-transcribed as part of the MCM7 primary RNA transcript [14]. E2F1 transcription factor 1 (E2F1) acts as an upstream regulator of MCM7 (Figure 3A). MCM7 mRNA overexpression has previously been shown to be associated with poor outcome in solid tumors. Potentially, this may be regulated by overexpression of the hosted miRNAs [15, 16].
Figure 3

Relative expression of E2F1, MCM7, and miR-106b~25 cluster

A. The miR-106b~25 cluster in located intron 13-14 of MCM7 and cotranscribed together as part of the MCM7 primery RNA transcript. E2F1 regulates MCM7 expression. B. Relative miRNA expression of miR-25, miR-93, and miR-106b in 14 paired initial diagnosis-relapse pediatric AML samples with MLL-rearrangements and mRNA expression of E2F1 and MCM7. Patients without AF9 or AF10 translocation have comparable miR-106b~25 expression (colored lines). Data are presented with one-sided p-values.

Relative expression of E2F1, MCM7, and miR-106b~25 cluster

A. The miR-106b~25 cluster in located intron 13-14 of MCM7 and cotranscribed together as part of the MCM7 primery RNA transcript. E2F1 regulates MCM7 expression. B. Relative miRNA expression of miR-25, miR-93, and miR-106b in 14 paired initial diagnosis-relapse pediatric AML samples with MLL-rearrangements and mRNA expression of E2F1 and MCM7. Patients without AF9 or AF10 translocation have comparable miR-106b~25 expression (colored lines). Data are presented with one-sided p-values. Therefore, we studied MCM7 and E2F1 mRNA (RT-qPCR) expression and could show that they were differentially overexpressed in the paired samples with MLL-rearrangements at relapse (n=14, p=0.008 and p=0.015, respectively)(Figure 3B). Overexpression of miR-106b, miR-93 and miR-25 at relapse by miRNA profiling, was confirmed by stem loop RT-qPCR in the paired patient samples, both in the replication cohort (n=8) as in the discovery cohort (n=6) (p<0.05)(Figure 3B). The expression of the three miRNAs in the miR106b~25 cluster were, in general, consistently up- or downregulated. Among the 14 cases, four patients had one miRNA that showed opposite expression compared to the other two miRNAs within the cluster (Supplementary Figure S2). It is conceivable, that post-translational modifications such as alternative splicing of the miR-106b~25 transcript may occur, thereby separately regulating miR-25 [17], and mutations in the miRNA transcript may have induced this difference in expression. Therefore, we screened intron 13-14 of MCM7 for mutations. We did not identify mutations in intron 13-14 of MCM7 and observed that the frequency of the SNP rs1527423 was similar to that in the normal human population (data not shown). All samples (either AF9, AF10 or other TPs) showed similar miRNA expression (Figure 3B).

Downstream targets of the miR-106b~25 cluster

Multiple downstream targets for the miR-106b~25 cluster have been described in different cancer types. We selected two predicted targets of the miR-106b~25 cluster, cyclin-dependent kinase inhibitor 1A (p21) and BCL2-like 11 (BIM) [18], based on protein function and relevance of these proteins in cancer. In the 14 paired samples we did not find differences in p21 (p=0.43) or BIM (p=0.36) mRNA expression between initial diagnosis and relapse (Figure 4). Of the five paired initial diagnosis-relapse samples with MLL-rearrangements gene expression profiles (GEP) were available (2 AF9 and 3 AF10). Although 22 genes were found to be negatively correlated with the 53 differentially overexpressed miRNAs, p21 and BIM were not negatively correlated with GEP (data not shown).
Figure 4

Relative expression of p21WAF1/CIP1 and BIM in paired pediatric AML initial diagnosis-relapse cases with RT-qPCR (Taqman)

Patients used for Western blot have a colored line. Dara are presented with one-sided p-values

Relative expression of p21WAF1/CIP1 and BIM in paired pediatric AML initial diagnosis-relapse cases with RT-qPCR (Taqman)

Patients used for Western blot have a colored line. Dara are presented with one-sided p-values MiRNAs regulate translation of genes through translational repression or target mRNA cleavage. Although no difference in mRNA expression of p21 and BIM could be found, we anticipated that protein level could be different. For that reason, we used western blot analysis on three paired initial diagnosis-relapse samples with MLL-rearrangements (Table 1). Among two out of three paired initial diagnosis-relapse samples, the expression of BIM and p21 was downregulated in relapse samples as compared to that of initial diagnosis, both in patients with a MLL-AF10 translocation. One patient showed a modest downregulation of BIM and almost no p21 protein expression (Figure 5).
Figure 5

Protein expression anaylis of p21WAF1/CIP1 and BIM with Western blot

Three patients of which protein was available were used to validate protein expression of p21WAF1/CIP1 and BIM. Patients 5 and 6 have a MLL-AF10 rearrangement.

Protein expression anaylis of p21WAF1/CIP1 and BIM with Western blot

Three patients of which protein was available were used to validate protein expression of p21WAF1/CIP1 and BIM. Patients 5 and 6 have a MLL-AF10 rearrangement. As both p21 and BIM are validated targets in prostate cancer and human mammary epithelial cells [18, 19], we studied p21WAF1/CIP1 and BIM protein expression in two MLL-rearranged cell lines, Nomo1 and THP-1, after overexpression of the miR-106b~25 cluster. However, we found no decreased in BIM protein expression upon forced expression of this cluster, while neither MLL-rearranged cell line had detectable p21WAF1/CIP1 expression (data not shown). Therefore, the identity of these two genes as miR-106b~25 target remains hypothetical in our study.

DISCUSSION

Over the last years, miRNAs are widely studied in the context of cancer development, progression, and cancer type classification [20]. Based on miRNA profiling, AML samples could be classified according to FAB type [21] or cytogenetic information [13]. However, the contribution of miRNAs in the process of clonal expansion towards relapse in pediatric AML has not been reported so far. In this study we aimed to investigate the potential role of miRNAs in clonal evolution towards relapse by miRNA expression profiling of paired initial diagnosis-relapse samples with MLL-rearrangements. In our series of pediatric AML we could not identify miRNAs that were predictive for relapse occurrence in pediatric AML cases in the diagnostic phase. This may have been due to the heterogeneity of selected cases (n=127). However, also in a nested more homogeneous cohort of MLL-rearranged AML cases, we did not identify a miRNA signature that could predict relapse. We appreciated the fact that although we studied 23 cases (of which 9 carried a MLL-AF10 translocation) this may, in part, have been due to insufficient power to find a specific miRNA signature predictive for relapse in poor risk MLL-AML cases. We identified 53 miRNAs differentially expressed miRNAs in the development towards relapse in MLL-rearranged pediatric AML. These differentially expressed miRNAs could however again, not predict relapse. Also, this may again underscore the fact that clones that are leukemia drivers at relapse, may exist only on the subclonal level as has been revealed by NGS studies recently [22, 23]. Our results suggest that alternative miRNAs are involved in the development of a relapse. This is in line with recent findings of Bachas et al. that revealed that alternative gene expression profiles and biological pathways, are relevant for relapse development, in a paired sample analyses of relapsed pediatric AML. Approximately, 48% of these paired samples did not culminate in the same gene expression cluster. Also, paired samples that were in the same cluster had differentially expressed genes [24]. This may underscore our findings that relapse reflects clonal evolution of small undiscovered clones that may be regulated by epigenetic mechanisms, rather than by individual genes. Of the 22 miRNAs that were validated with stem-loop RT-qPCR, 12 were significantly upregulated, including three members of the miR-106b~25 cluster. This cluster has also been identified as an oncogenic microRNA cluster in other types of cancer, such as gastric, prostate, and breast cancer [15, 25, 26]. In total, 19 (out of 22) miRNAs that were detectable are more highly expressed at relapse compared to initial diagnosis as predicted in the discovery cohort. Validation of miRNAs obtained by TLDA arrays, especially in small cohorts, is required to determine the true significantly different miRNAs. In four patients, one miRNA within the miR-106b~25 cluster showed opposite expression. This difference could not be explained by the presence of SNP rs1527423. No other mutations were found in the miRNA gene. Although single miRNAs from this cluster were reported in adult AML. Higher miR-25 expression was found to be correlated with adverse survival [27], and higher miR-93 serum levels were described to be valued as potential biomarker for detecting AML in adults [28]. In addition, in the study performed by Emmrich et al [13] only miR-106b was significantly higher expressed in pediatric AML subtype t(15;17)(q22;q21) (PML/RARA). Likewise, only miR-25-5p was significantly lower expressed in t(15;17). These findings may underline the fact that there is a particular role for this cluster in AML leukemogenesis. We found overexpression of miR-106b~25, E2F1, and MCM7 at relapse. The miR-106b~25 cluster, located in intron 13 of the MCM7 gene, is actively co-transcribed during transcription. It is conceivable that overexpression of the miR-106b~25 cluster is regulated by overexpression of MCM7. MCM7 is essential for the initiation of eukaryotic genome replication and ensuring that the whole genome is replicated once per cell cycle [29]. Expression of MCM7 is regulated via the activation of the transcription factor E2F1 which controls the expression of genes encoding various DNA replication proteins and cell cycle regulators [30]. Overexpression of E2F1 may lead to inappropriate DNA replication and subsequent formation of DNA double-stranded breaks result in DNA damage [31], thereby resulting in deregulation of hematopoiesis. Two predicted downstream targets that are targeted by the miR-106b~25 cluster were further studied in depth, p21 and BIM. We could not show deregulated mRNA expression of p21WAF1/ and BIM at relapse in the total group of MLL rearranged patients. However, 3 patients (1 AF9, 1 AF10, and 1 ELL) had both lower mRNA expression of p21WAF1/ and BIM at relapse and 2 additional patients (2 AF10) had lower p21WAF1/ expression at relapse. Difference in protein expression could be shown in the three paired initial diagnosis-relapse samples. Two of the three pairs showed lower p21WAF1/ and BIM protein expression in relapse of paired initial diagnosis-relapse samples (AF10). Previous studies showed, that, not only miR-106b~25 cluster targets p21WAF1/ and BIM, but also miR-30c and miR-32 have BIM as validated target [32, 33]. We could show that miR-30c and miR-32 were also overexpressed at relapse (Supplementary Figure S1). In addition hsa-let-7a, hsa-let-7e, and miR-301b, predicted by targetscan and miRanda to target p21WAF1/ could also contribute to the downregulation of these two targets. In conclusion, we show that miRNA signatures could not predict relapse in a representative cohort of pediatric AML, nor in a nested series with MLL-rearrangements. Based on paired initial diagnosis-relapse miRNA analysis we identified 53 miRNAs that may be involved in clonal evolution of in the paired samples in pediatric MLL-rearranged AML. The miR-106b~25 cluster may be involved in the development of relapse of MLL-rearranged AML which may be caused through upregulation of E2F1. Downstream predicted targets of this cluster such as p21WAF1/ and BIM, may be repressed.

MATERIALS AND METHODS

Patient samples

Viably frozen bone marrow or peripheral blood samples from 14 paired initial diagnostic and relapsed (n=28) pediatric AML cases were provided by the Dutch Childhood Oncology Group (DCOG), the AML ‘Berlin–Frankfurt–Münster’ Study Group (AML-BFM-SG), the Czech Pediatric Hematology Group (CPH) and the St. Louis Hospital in Paris, France. Informed consent was obtained from all patients, after Institutional Review Board approval, according to national law and regulations. After thawing, samples were enriched to contain at least 80% leukemic blast cells as previously described [34]. Total cellular RNA and genomic DNA were extracted using TRIzol reagent (Invitrogen Life Technology, Breda, The Netherlands), as previously described [35].

MiRNA and mRNA expression profiling and RT-qPCR

MiRNA expression profiling of leukemic cells from six paired initial diagnosis-relapse samples AML cases were performed. MiRNA expression was measured on Taqman Low Density Arrays (TLDA) v2.0 using Taqman technology in the 7900 HT Real-Time PCR System (Applied Biosystems, Foster City, CA, USA) according to the manufacturer's instructions. Differentially expressed miRNAs were validated by single stem loop real-time PCR using TaqMan MiRNA assay (Applied Biosystem) according to the manufacturers' protocol. The expression levels of miRNA target genes (BIM and p21) that had been identified in other types of cancer, were validated with RT-qPCR in 14 paired initial diagnostic-relapse MLL-rearranged AML samples, six pairs in the discovery cohort and eight additional paired samples with MLL-rearrangements (9 AF10, 2 AF9, 1 ELL, 1 ENL, and 1 unknown) in the validation cohort. Primers are shown in Supplementary Table S4. Messenger-RNA expression was performed by RT-qPCR using DyNAmo HS SYBR green (Thermo Scientific, Waltham, MA, USA). The average cycle threshold (Ct) value was used to calculate miRNA and mRNA expression levels relative to the expression level of the reference RNU24 or GAPDH, respectively, using the comparative Ct method [36].

Western blot

For Western blot, leukemic cells of three paired initial diagnosis-relapse samples of patients with MLL-rearrangements (2 AF10 and 1 unknown) were selected. Cells were lysed with Kinase Lysis buffer (KLB) [37], 25 μg protein per lane was loaded on precast polyacrylamide gel (10%, BIO-RAD, Hercules, CA, USA), transferred to nitrocellulose membranes using a Trans-Blot Turbo Transfer system (BIO-RAD) and probed with α-BIM (rabbit mAb (C34C5) and α-p21WAF1/CIP1 (rabbit mAb (12D1), (Cell signaling, Danvers, MA, USA). β-actin (mouse mAb (ab6276, AC-15), (Abcam, Cambridge, UK) was used as loading control. Blots were counterstained with IRDye 680/800-labeled secondary antibodies (LI-COR biosciences, Lincoln, NE, USA).

Statistical analyses

The miRNAs differential expression analysis was performed using a Bayesian approach that has been implemented in the R-package ShrinkBayes. This approach has been known for its robustness in small sample series [38]. P-values < 0.05 were considered statistically significant for a single test, and Benjamini-Hochberg corrected false discovery rates (FDR) < 0.1 were considered statistically significant for multiple tests [39]. Statistical analyses were performed using R, version 3.0. MiRNA profiles were compared using global testing with a multinomal regression model [40]. Difference between mRNA and miRNA expression levels between paired initial diagnosis-relapse samples, as measured by Taqman, were determined using the one-sided Wilcoxon paired signed rank test.
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Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-18       Impact factor: 11.205

8.  E2F1 mediates DNA damage and apoptosis through HCF-1 and the MLL family of histone methyltransferases.

Authors:  Shweta Tyagi; Winship Herr
Journal:  EMBO J       Date:  2009-09-17       Impact factor: 11.598

9.  MicroRNA-106b-25 cluster expression is associated with early disease recurrence and targets caspase-7 and focal adhesion in human prostate cancer.

Authors:  R S Hudson; M Yi; D Esposito; S A Glynn; A M Starks; Y Yang; A J Schetter; S K Watkins; A A Hurwitz; T H Dorsey; R M Stephens; C M Croce; S Ambs
Journal:  Oncogene       Date:  2012-09-17       Impact factor: 9.867

Review 10.  Replication licensing--defining the proliferative state?

Authors:  J Julian Blow; Ben Hodgson
Journal:  Trends Cell Biol       Date:  2002-02       Impact factor: 20.808

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  10 in total

Review 1.  MicroRNAs as prognostic biomarker and relapse indicator in leukemia.

Authors:  S Hajizamani; M Shahjahani; S Shahrabi; N Saki
Journal:  Clin Transl Oncol       Date:  2017-03-07       Impact factor: 3.405

Review 2.  Molecular and genetic alterations associated with therapy resistance and relapse of acute myeloid leukemia.

Authors:  Hubert Hackl; Ksenia Astanina; Rotraud Wieser
Journal:  J Hematol Oncol       Date:  2017-02-20       Impact factor: 17.388

3.  MicroRNA-106b promotes the proliferation, migration and invasion of retinoblastoma cells by inhibiting the expression of ZBTB4 protein.

Authors:  Wenjuan Bu; Yanhui Wang; Xiangrong Min
Journal:  Exp Ther Med       Date:  2018-10-01       Impact factor: 2.447

4.  Modelling the Effects of MCM7 Variants, Somatic Mutations, and Clinical Features on Acute Myeloid Leukemia Susceptibility and Prognosis.

Authors:  Florin Tripon; Mihaela Iancu; Adrian Trifa; George Andrei Crauciuc; Alina Boglis; Delia Dima; Erzsebet Lazar; Claudia Bănescu
Journal:  J Clin Med       Date:  2020-01-08       Impact factor: 4.241

5.  Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer.

Authors:  Yuliya A Veryaskina; Sergei E Titov; Mikhail K Ivanov; Pavel S Ruzankin; Anton S Tarasenko; Sergei P Shevchenko; Igor B Kovynev; Evgenij V Stupak; Tatiana I Pospelova; Igor F Zhimulev
Journal:  PLoS One       Date:  2022-02-17       Impact factor: 3.240

Review 6.  Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.

Authors:  Yulia Andreevna Veryaskina; Sergei Evgenievich Titov; Igor Fyodorovich Zhimulev
Journal:  Med Princ Pract       Date:  2022-03-30       Impact factor: 2.132

7.  Upregulation of CD11b and CD86 through LSD1 inhibition promotes myeloid differentiation and suppresses cell proliferation in human monocytic leukemia cells.

Authors:  Jianwu Fang; Haiyan Ying; Ting Mao; Yanjia Fang; Yuan Lu; He Wang; Irene Zang; Zhaofu Wang; Ying Lin; Mengxi Zhao; Xiao Luo; Zongyao Wang; Yan Zhang; Chao Zhang; Wei Xiao; Yan Wang; Wei Tan; Zhui Chen; Chris Lu; Peter Atadja; En Li; Kehao Zhao; Jianfeng Liu; Justin Gu
Journal:  Oncotarget       Date:  2017-06-19

Review 8.  MiRNA Dysregulation in Childhood Hematological Cancer.

Authors:  Jaqueline Carvalho de Oliveira; Gabriela Molinari Roberto; Mirella Baroni; Karina Bezerra Salomão; Julia Alejandra Pezuk; María Sol Brassesco
Journal:  Int J Mol Sci       Date:  2018-09-10       Impact factor: 5.923

9.  Acidic leucine-rich nuclear phosphoprotein-32A expression contributes to adverse outcome in acute myeloid leukemia.

Authors:  Sai Huang; Zhi Huang; Chao Ma; Lan Luo; Yan-Fen Li; Yong-Li Wu; Yuan Ren; Cong Feng
Journal:  Ann Transl Med       Date:  2020-03

10.  MicroRNA‑93 knockdown inhibits acute myeloid leukemia cell growth via inactivating the PI3K/AKT pathway by upregulating DAB2.

Authors:  Jiwei Huang; Ruozhi Xiao; Xiaozhen Wang; Bijay Khadka; Zhigang Fang; Mingxue Yu; Ling Zhang; Jieying Wu; Jiajun Liu
Journal:  Int J Oncol       Date:  2021-09-03       Impact factor: 5.650

  10 in total

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