Differential MiRNA expression in childhood acute lymphoblastic leukemia and association with clinical and biological features

Differential MiRNA expression in childhood acute lymphoblastic leukemia and association with clinical and biological features

Leukemia Research 36 (2012) 293–298 Contents lists available at SciVerse ScienceDirect Leukemia Research journal homepage: www.elsevier.com/locate/l...

609KB Sizes 0 Downloads 10 Views

Leukemia Research 36 (2012) 293–298

Contents lists available at SciVerse ScienceDirect

Leukemia Research journal homepage: www.elsevier.com/locate/leukres

Differential MiRNA expression in childhood acute lymphoblastic leukemia and association with clinical and biological features Jaqueline Carvalho de Oliveira a , Carlos Alberto Scrideli b,∗ , María Sol Brassesco b , Andressa Gois Morales a , Julia Alejandra Pezuk a , Rosane de Paula Queiroz b , José Andres Yunes c,d , Silvia Regina Brandalise c,d , Luiz Gonzaga Tone a,b a

Department of Genetics, Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil Department of Paediatrics, Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil c Centro Infantil Boldrini, Campinas, São Paulo, Brazil d Department of Paediatrics, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil b

a r t i c l e

i n f o

Article history: Received 31 May 2011 Received in revised form 27 August 2011 Accepted 7 October 2011 Available online 17 November 2011 Keywords: MicroRNA Pediatric acute lymphoblastic leukemia Prognostic features

a b s t r a c t The present study aimed to analyze the expression profile of the microRNAs previously described as associated with childhood ALL, miR-92a, miR-100, miR-125a-5p, miR-128a, miR-181b, miR-196b and let-7e, and their association with biological/prognostic features in 128 consecutive samples of childhood acute lymphoblastic leukemia (ALL) by quantitative real-time PCR. A significant association was observed between higher expression levels of miR-196b and T-ALL, miR-100 and patients with low white blood cell count at diagnosis and t(12;21) positive ALL. These findings suggest a potential activity of these microRNAs in pediatric ALL biology. © 2011 Elsevier Ltd. All rights reserved.

1. Introduction Acute lymphoblastic leukemia (ALL) represents the most common type of childhood malignant neoplasia and, despite the significant progress in current treatment, 20–30% of affected children relapse and the causes are still uncertain [1]. ALL is a heterogeneous disease, composed of many subtypes that represent different clinical behaviors and need different therapy schemes [2]; however, the complex mechanism driving to distinct outcomes in each subtype is still poorly understood. In this context, it is important to study microRNAs (miRNAs), small (17–25 nucleotides) single-stranded noncoding RNAs that function predominantly as sequence-targeted modifiers of gene expression through translational repression. Currently, more than 1000 miRNAs have been described for the human genome and, although most of them do not have established function, the association between the disruption of their expression and tumor progression and aggressiveness is widely accepted [3,4]. The miRNAs play an important role in the regulation of normal hematopoiesis and their disruption could contribute to

∗ Corresponding author at: Department of Paediatrics, Medicine of Ribeirão Preto, University of São Paulo, Avenida Bandeirantes 3900, 14049-900, Ribeirão Preto, São Paulo, Brazil. Tel.: +55 16 3602 2672; fax: +55 16 3602 2700. E-mail address: [email protected] (C.A. Scrideli). 0145-2126/$ – see front matter © 2011 Elsevier Ltd. All rights reserved. doi:10.1016/j.leukres.2011.10.005

leukemogenesis [5–8]. Few studies have been conducted until now concerning the role of miRNA in childhood ALL [9–14]. These studies have shown that miRNA expression analysis may help to understand the development of different phenotypes and the biological functions of these miRNAs in childhood ALL. Based on this information, we aimed to evaluate the expression of miRNAs previously reported to be differentially expressed in childhood ALL [9] (miR-92a, miR-100, miR-125a-5p, miR-128a, miR-181b, miR-196b and let-7e), in consecutively diagnosed bone marrow samples from children with ALL treated according to the GBTLI-ALL 99 protocol and to correlate their expression levels with biological/prognostic features. 2. Materials and methods 2.1. Patients Bone marrow (BM) samples were obtained at diagnosis from 128 consecutive patients with childhood ALL classified and treated from January 2002 to May 2005 according to the Brazilian Childhood Leukemia Treatment Group (GBTLI ALL-99) protocol [15,16] at two different treatment centers. In addition, 11 normal BM samples from children without hematological diseases (aged 1 month to 13 years) were analyzed. The study was approved by the National Research Ethics Committee (CONEP, No. 7329/2009) and was based on the Helsinki convention criteria. Samples were collected after written informed consent was obtained from the persons responsible for the children. The diagnosis was made by standard morphological analysis and flow cytometry in BM at diagnosis, with all patients presenting more than 70% of blasts cells. Among the 128 ALL patients studied, 108 (84.4%) had B-derived ALL (pro-B ALL in 10 cases

294

J.C. de Oliveira et al. / Leukemia Research 36 (2012) 293–298

and common-ALL/pre-B ALL in 98), and 20 (15.6%) had T-ALL; 69 were boys and 59 were girls ranging in age from 13 months to 17 years (median 5.2 years). The white blood cell count (WBC) ranged from 800 to 849,000/mm3 (median: 17,700/mm3 ). Seven patients presented t(9;22), five t(4;11), twenty-one t(12;21) and one t(1;19) was detected by reverse transcription (RT)-PCR [17]. Conventional G-band karyotyping was performed in 62 patients, with 12 of them presenting a hyperdiploid karyotype. Patients were characterized as poor responders, regardless of the initial risk group, if they met one or more of the following criteria during the phase of remission induction: WBC > 5000/mm3 on day 7 (D7) as a proxy for peripheral blast count, M3 bone marrow (>25% blasts) on day 14 (D14), or M2/M3 bone marrow (>5 and 25% blasts, respectively) on day 28 (D28) [16]. Eighty-three patients were classified as high risk (64.8%) and 20 (15.3%) as poor responders. The time of follow-up of patients in complete clinical remission ranged from 34 to 74 months, with a median observation of 56 months. Unfavorable events (death due to any cause or relapse) occurred in 31 patients (24.2%). Of these, 17 relapsed and 14 died during induction (n = 9) or in clinical remission (n = 5). Among these patients, all casualties were associated with treatment complications: sepsis (n = 12) and hemorrhagic disorders (n = 2). Minimal residual disease (MRD) was detected by a simplified PCR method with consensus primers for T cell receptor (TCR) and immunoglobulin (Ig) gene rearrangements on days 14 and 28, as previously described [15]. The 5 years event free survival according clinical and biological features are shown in supplemental Table S1. 2.2. RNA extraction, cDNA synthesis and quantitative real-time PCR (RQ-PCR) BM mononucleated cells were separated by a Ficoll-Hypaque centrifugation gradient and the total cellular RNA was extracted from BM samples using Trizol Reagent (Invitrogen, Carlsbad, CA, USA). The RNA of each sample was stored in DEPC-treated water at −80 ◦ C and, before use; the quantity and quality of samples were evaluated with an ND-1000 NanoDrop spectrophotometer (NanoDrop Technologies). Total RNA (100 ng) was retrotranscribed with microRNA-specific primers using a TaqMan microRNA reverse transcription kit (Applied Biosystems, Foster City, CA), and qRT-PCR was then performed using Taqman® microRNA assays according to the manufacturer’s protocol. The microRNA levels of miR-92a, miR-100, miR-125a-5p, miR-128a, miR-181b, miR-196b and let-7e were measured using the ABI 7500 Real Time PCR System (PE Applied Biosystems). The relative expression was calculated using the 2−CT method [18] with two internal controls, small nuclear RNU6B and RNU48, used to normalize the cDNA levels. The amplification efficiency of each miRNA and endogenous probes was 92–101%, and the plot of cDNA dilutions versus delta Ct was close to zero (slope ≤ ±0.1). The mean expression in the 11 normal bone marrow samples was used as calibrator. Real time PCR was performed in duplicate and a standard deviation (SD) of <0.5 between duplicates was accepted. A blank control was run in parallel to determine the absence of contamination within each experiment. 2.3. Statistical analysis The association between the variables analyzed (age, WBC count at diagnosis, immunophenotype, risk group, molecular cytogenetics, hyperdiploid karyotype,

Table 1 Minimum, maximum and median microRNA expression levels in normal bone marrow and in ALL samples. microRNA

miR-92a miR-100 miR-125a-5p miR-128a miR-181b miR-196b let-7e

Normal BM (n = 11)

ALL (n = 128)

Median (range)

Median (range)

0.97 (0.45–3.91) 1.04 (0.34–3.90) 1.27 (0.48–4.25) 1.02 (0.57–2.23) 1.41 (0.33–3.40) 1.07 (0.29–3.70) 1.16 (0.54–3.25)

0.77 (0.08–5.04) 0.21 (0.002–10.76) 0.80 (0.01–29. 33) 4.32 (0.16–167.91) 5.06 (0.07–45.09) 0.03 (0.001–65.68) 0.59 (0.04–5.15)

P value

0.07 <0.01 0.37 <0.01 <0.01 <0.01 <0.01

P value calculated by the Mann–Whitney test. Bold value indicates statistically significant (P < 0.05). BM, bone marrow. bone marrow status at day 28, MRD at day 14 and 28) and microRNA expression levels was determined by the Mann–Whitney test. For survival analysis, patients were stratified into values below and above the median, the quartiles (P25 and P75) and the average of expression levels in normal bone marrow. The Kaplan Meier curves and log rank test were used to estimate event-free survival (5-year EFS), which was calculated from the date of complete continuous remission (CCR) to the last follow-up, or unfavorable event (induction failure, relapse and/or death due to any cause). Patients who did not attain CCR or died during induction were considered as an unfavorable event at time zero. The correlation between the expression values of the microRNAs was determined by the Spearman correlation coefficient. Data were analyzed statistically using the Statistical Package for the Social Sciences (SPSS) software for Windows, version 15.0 (SPSS Inc., Chicago, IL, USA).

3. Results 3.1. Expression of microRNAs in ALL and in normal bone marrow ALL samples showed a lower expression of miR-100 (P < 0.01), miR-196b (P < 0.01) and let-7e (P < 0.01) and a higher expression of miR-128 (P < 0.01) and miR-181 (P < 0.01) compared to control BM samples. The expression of miR-92a and miR-125a-5p was similar for both groups (Table 1). 3.2. Relation between microRNA expression and clinical/biological features The microRNAs studied presented a wide variability of expression in ALL patients (Table 1). A significant positive correlation was observed by the Spearman’s correlation test between miR-92a,

Table 2 Correlation among analyzed microRNA expressions in childhood ALL patients.

mir-92a CC P value mir-100 CC P value mir-125a-5p CC P value mir-128a CC P value mir-181b CC P value mir-196b CC P value let-7e CC P value

mir92

mir100

mir125

mir128

mir181

mir196

1.00 –

0.04 0.68

0.21 0.02

0.37 0.00

0.43 0.00

0.10 0.25

0.47 0.00

0.04 0.68

1.00 –

0.31 0.00

0.02 0.78

0.06 0.53

0.13 0.13

−0.02 0.83

0.21 0.02

0.31 0.00

1.00 –

0.26 0.00

0.12 0.16

−0.06 0.50

0.32 0.00

0.37 0.00

0.02 0.78

0.26 0.00

1.00 –

0.50 0.00

−0.03 0.72

0.44 0.00

0.43 0.00

0.06 0.53

0.12 0.16

0.50 0.00

1.00 –

−0.13 0.15

0.42 0.00

0.10 0.25

0.13 0.13

−0.06 0.50

−0.03 0.72

−0.13 0.15

1.00 –

0.24 0.01

0.47 0.00

−0.02 0.83

0.32 0.00

0.44 0.00

0.42 0.00

0.24 0.01

1.00 –

CC, Spearman’s correlation coefficient. Bold value indicates statistically significant (P < 0.05).

let7e

J.C. de Oliveira et al. / Leukemia Research 36 (2012) 293–298

295

Fig. 1. Relative expression levels of miRNAs in ALL patients stratified according to biological and clinical features. (A) miR-196b expression in patients positive (left) or negative (right) for the presence of T-cell phenotype (P = 0.01). (B) MiR-100 expression in ALL patients with less than 50,000/mm3 white blood cells (WBC) (left) or more than 50,000/mm3 WBC at diagnosis (P = 0.01). (C) miR-100 expression in patients negative (left) or positive (right) for the presence of 12;21 translocation (P = 0.04). (D) MiR-100 expression in patients negative (left) or positive (right) for the presence of hyperdiploidy (P = 0.04). Mann–Whitney test.

miR-128a, miR-181b and let-7e expression; miR-125a-5p, miR92a, miR-128a and let-7e and miR-100; and miR-196b and let-7e (Table 2). A higher MiR-196b expression was found in T-ALL (P = 0.01). MiR-100 expression was higher in patients who presented a WBC count at diagnosis <50,000/mm3 (P = 0.01). In the group of B-cell ALL patients, higher miR-100 expression was associated with the presence of t(12;21) (P = 0.04) and the absence of a hyperdiploid karyotype (P = 0.04) (Fig. 1) (Table S2). The presence of t(4;11) was associated with miR-181b (P = 0.02) and miR-128a (P = 0.03) (Fig. 2). 3.3. Relation between microRNA expression and treatment response parameters Despite the low number of patients in each group, the expression of miR-125a-5p (P = 0.02) and let-7e (P = 0.04) was lower in patients who presented BM status M2/M3 at day 28 of induction therapy (n = 7). Additionally, let-7e expression was higher in patients with MRD at D14 (P = 0.02) (n = 12) (Fig. 3) (Tables S3–S5). In order to analyze a possible correlation between the expression of the mRNAs analyzed and EFS the patients were divided into two groups using the values below and above the median as

cut-off. None of the miRNAs analyzed were associated with 5y EFS (Table S6). The same was true when the quartiles (P25 and P75) and the average of expression levels in control BM were used as a cut-off between low and high expression (data not shown). 4. Discussion MicroRNAs are associated with the regulation of normal hematopoiesis and their disruption has been related to many types of cancer, including hematological malignancies, but little is known about their effects on childhood ALL. In the present study, pediatric ALL BM samples showed lower expression levels of miR-100, miR-196b and let-7e, while miR-128a and miR-181b were overexpressed in patients when compared to normal pediatric BM samples. Similar to our results, miR-128a and miR-181 have been previously reported to be up-regulated in ALL compared to normal donors [10] and also to normal CD34+ progenitor cells [9]. Additionally, down-regulation of miR-100, miR-196b and let-7e was demonstrated in B-ALL without translocations compared to CD34+ cells [9]. Other studies have also shown that some of the miRNA analyzed here influence hematopoietic differentiation including miR181 [19], miR196a [20,21], and mir125 [11,22,23]. However, since normal BM and CD34+ cells do not reproduce exactly the

296

J.C. de Oliveira et al. / Leukemia Research 36 (2012) 293–298

Fig. 2. Relative expression levels of miRNAs in ALL patients stratified according to the presence of t(4;11). (A) MiR-128a expression in patients positive (left) or negative (right) for the presence of t(4;11) (P = 0.03). (B) MiR-181b expression in patients positive (left) or negative (right) for the presence of t(4;11) (P = 0.02). Mann–Whitney test.

normal counterpart of ALL BM, these results should be viewed with caution. Besides the described pattern of expression in normal progenitor cells, these miRNAs have also been found to be differentially expressed in different subtypes of ALL [9]. These genes could also have led to inappropriate expression of proteins that act as tumor suppressors or oncogenes. Some of them such as let-7e, miR100 and miR196b have been reported to have potential tumor suppressive function [20,24,25], while miR181 targets oncoproteins [24]. Analysis of the correlation of expression levels among the genes under study by the Spearman’s correlation coefficient showed a significant positive correlation between some of them, suggesting a possible co-regulation in childhood ALL. Regarding the biological features, miR-196b analyses demonstrated higher expression in T-cell ALL when compared to B-cell patients. The association between miR-196b and ALL has been reported in association with t(4;11) [9,26]. In the present study, despite a higher expression in patients with t(4;11), this difference was not significant. High expression of miR-196b is not exclusively induced by MLL chimeras, but has been also correlated with other leukemia types, including T-cell ALL, with increased HOXA gene expression [27]. MiR-196b is encoded in the HOXA-cluster, mapped between the HOXA9 and HOXA10 genes and is most likely co-regulated in ALL [27]. Although the involvement of HOXA genes in the survival and

proliferation rates of leukemia cells is generally recognized [28], the overexpression of mir-196b in bone marrow progenitor cells also leads to increased proliferative capacity and survival [26]. In spite of this, its role in leukemia is still controversial, since there are descriptions of its involvement in the regulation of oncoproteins such as ERG and c-myc, suggesting a tumor suppressor activity [20,21]. Noteworthy, miR-196b has been associated with the downregulation of c-myc in B-cell ALL [20], an event not occurring in T-cell ALL as a consequence of mutations in the 3 -untranslated region (3 -UTR) of this gene as reported for some cell lines and patient samples [29]. It is interesting to point that these subtypes related to higher miR196b expression are associated with a poor clinical outcome. We found lower levels of miR-100 expression in ALL patients as a whole and even significantly lower levels in patients with a WBC count higher than 50,000/mm3 . Additionally, increased miR-100 expression was associated with the presence of t(12;21), biological features classically associated with a good outcome. The association between miR-100 expression and t(12;21) patients agrees with previous studies [30]. Furthermore, we found an association between low miR-100 expression and hyperdiploid karyotypes, that are infrequent in t(12;21) ALL (∼1%) [31]. This fact may reinforce a t(12;21) specific regulation of miR-100. Likewise, previous reports on oral cancer have demonstrated that forced expression of miR-100 results in decreased proliferation [32]. Furthermore,

Fig. 3. Relative expression levels of miRNAs in ALL patients stratified according to treatment parameters. (A) miR-125a-5p expression in patients with bone marrow classified as M1 (left) or M2/M3 (right) analyzed on day 28 (P = 0.02). (B) Let-7e expression in patients with bone marrow classified as M1 (left) or M2/M3 (right) analyzed on day 28 (P = 0.04). (C) Let-7e expression in patients with negative minimal residual disease (left) or positive analyzed on day 14 (P = 0.02). Mann–Whitney test.

J.C. de Oliveira et al. / Leukemia Research 36 (2012) 293–298

miR-100 is known to regulate central elements in signaling pathways involved in cell growth control and proliferation such as PLK1, IGF2R and FRAP1/mTOR [33–35]. In contrast, a positive correlation between miR-100 and cell growth has been demonstrated in vitro for AML, where this mirRNA is required for cell growth through the regulation of the tumor suppressor RBSP3 [36]. Of note, when compared to ALL and normal cells, miR-100 levels are exceedingly higher in AML [10], suggesting a different responsibility for each lineage. In the present study, some miRNAs were associated with other clinical and biological features. Among them, lower expression of miR-125a-5p was associated with M2/M3 bone marrow status on D28 (n = 7). MiR-125a expression seems to be conflicting in different tumors, with hyperexpression occurring in lung squamous cell carcinoma and hypoexpression in glioblastomas, medulloblastomas and oral cancer [37–39]. In hematopoietic malignancies, lower expression has been related to HTLV-1-associated acute adult T-cell leukemia [40]. Specifically, miR-125a-5p is an independent prognostic factor in gastric cancer and inhibits proliferation in vitro [41]. Furthermore, this miRNA induces apoptosis by activating p53 in lung cancer cells [42]. The results of miRNA let-7e expression were inconsistent when clinical outcome was considered. While this expression was associated with a good morphological response in bone marrow at D28 (n = 7), it was also associated with the presence of higher levels of DRM on D14 (n = 12). These discrepancies could be related to the small number of cases analyzed and further studies are necessary to determine the relationship between this miRNA and ALL outcome. Literature data also seem to be controversial about the tumor suppressor role of let-7e. Lower expression levels have been described for malignant mesotheliomas [43], as opposed to overexpression in retinoblastomas [44]. Nevertheless, there is compelling evidence of down-regulation of let-7e involvement in resistance to Cetuximab in colorectal cancer and to Gemcitabine in pancreatic and ovarian cancer [45–47], with let-7e being a regulator of the proto-oncogene MYCN [48]. Our study also points to an association between miR-181b and miR-128a expression and t(4;11) ALL. Due to the small number of cases carrying this translocation, additional studies on a higher number of cases are necessary to corroborate these data. In conclusion, miR-196b expression was found to be higher in T-ALL and miR-100 expression was higher in patients with a WBC count <50,000/mm3 at diagnosis and in t(12;21)-positive patients. These findings suggest a potential role of these microRNAs in specific subtypes of pediatric ALL and in the development of different phenotypes. Further studies are needed to corroborate and extend our results. Conflict of interest None. Acknowledgements This collaborative study was supported by the following Public Research Agencies: Fundac¸ão de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP), grant no. 2009/10191-2, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), grant no. 471129/2009-7, and FAEPA (Brazil). The authors thank Veridiana Kiil Suazo and Renata Bomfim Pita for technical assistance. Contributions: JCO, MSB, CAS and LGT designed the study and supervised the project; JCO, AGM, JAP, RPQ performed the molecular genetic analyses; JCO and CAS analyzed the data and performed

297

the statistical analyses; JCO, MSB, CAS and LGT wrote the article with the contribution of JAY and SRB. CAS, LGT, JAY and SRB were the principal investigators and recruited patients. All authors read and approved the final version of the manuscript. Appendix A. Supplementary data Supplementary data associated with this article can be found, in the online version, at doi:10.1016/j.leukres.2011.10.005. References [1] Pui CH. Recent research advances in childhood acute lymphoblastic leukemia. J Formos Med Assoc 2010;109:777–87. [2] Yeoh EJ, Ross ME, Shurtleff SA, Williams WK, Patel D, Mahfouz R, et al. Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell 2002;1:133–43. [3] Nana-Sinkam SP, Croce CM. MicroRNAs as therapeutic targets in cancer. Transl Res 2011;157:216–25. [4] Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, et al. MicroRNA expression profiles classify human cancers. Nature 2005;435:834–8. [5] Wang Y, Li Z, He C, Wang D, Yuan X, Chen J, et al. MicroRNAs expression signatures are associated with lineage and survival in acute leukemias. Blood Cells Mol Dis 2010;44:191–7. [6] Mian YA, Zeleznik-Le NJ. MicroRNAs in leukemias: emerging diagnostic tools and therapeutic targets. Curr Drug Targets 2010;11:801–11. [7] Garzon R, Croce CM. MicroRNAs in normal and malignant hematopoiesis. Curr Opin Hematol 2008;15:352–8. [8] Vasilatou D, Papageorgiou S, Pappa V, Papageorgiou E, Dervenoulas J. The role of microRNAs in normal and malignant hematopoiesis. Eur J Haematol 2010;84:1–16. [9] Schotte D, Chau JC, Sylvester G, Liu G, Chen C, van der Velden VH, et al. Identification of new microRNA genes and aberrant microRNA profiles in childhood acute lymphoblastic leukemia. Leukemia 2009;23:313–22. [10] Zhang H, Luo XQ, Zhang P, Huang LB, Zheng YS, Wu J, et al. MicroRNA patterns associated with clinical prognostic parameters and CNS relapse prediction in pediatric acute leukemia. PLoS One 2009;4:e7826. [11] Tassano E, Acquila M, Tavella E, Micalizzi C, Panarello C, Morerio C. MicroRNA125b-1 and BLID upregulation resulting from a novel IGH translocation in childhood B-cell precursor acute lymphoblastic leukemia. Genes Chromosomes Cancer 2010;49:682–7. [12] Ju X, Li D, Shi Q, Hou H, Sun N, Shen B. Differential microRNA expression in childhood B-cell precursor acute lymphoblastic leukemia. Pediatr Hematol Oncol 2009;26:1–10. [13] Gefen N, Binder V, Zaliova M, Linka Y, Morrow M, Novosel A, et al. Hsa-mir125b-2 is highly expressed in childhood ETV6/RUNX1 (TEL/AML1) leukemias and confers survival advantage to growth inhibitory signals independent of p53. Leukemia 2010;24:89–96. [14] Kaddar T, Chien WW, Bertrand Y, Pages MP, Rouault JP, Salles G, et al. Prognostic value of miR-16 expression in childhood acute lymphoblastic leukemia relationships to normal and malignant lymphocyte proliferation. Leuk Res 2009;33:1217–23. [15] Scrideli CA, Assumpcao JG, Ganazza MA, Araujo M, Toledo SR, Lee ML, et al. A simplified minimal residual disease polymerase chain reaction method at early treatment points can stratify children with acute lymphoblastic leukemia into good and poor outcome groups. Haematologica 2009;94:781–9. [16] Brandalise SR, Pinheiro VR, Aguiar SS, Matsuda EI, Otubo R, Yunes JA, et al. Benefits of the intermittent use of 6-mercaptopurine and methotrexate in maintenance treatment for low-risk acute lymphoblastic leukemia in children: randomized trial from the Brazilian Childhood Cooperative Group – Protocol ALL-99. J Clin Oncol 2010;28:1911–8. [17] van Dongen JJ, MacIntyre EA, Gabert JA, Delabesse E, Rossi V, et al. Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual disease. Report of the BIOMED-1 Concerted Action: investigation of minimal residual disease in acute leukemia. Leukemia 1999;13:1901–28. [18] Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001;25:402–8. [19] Zimmerman EI, Dollins CM, Crawford M, Grant S, Nana-Sinkam SP, Richards KL, et al. Lyn kinase-dependent regulation of miR181 and myeloid cell leukemia1 expression: implications for drug resistance in myelogenous leukemia. Mol Pharmacol 2010;78:811–7. [20] Bhatia S, Kaul D, Varma N. Potential tumor suppressive function of miR196b in B-cell lineage acute lymphoblastic leukemia. Mol Cell Biochem 2010;340:97–106. [21] Coskun E, von der Heide EK, Schlee C, Kühnl A, Gökbuget N, Hoelzer D, et al. The role of microRNA-196a and microRNA-196b as ERG regulators in acute myeloid leukemia and acute T-lymphoblastic leukemia. Leuk Res 2011;35:208–13. [22] Jiang L, Huang Q, Zhang S, Zhang Q, Chang J, Qiu X, et al. Hsa-miR-125a-3p and hsa-miR-125a-5p are downregulated in non-small cell lung cancer and have

298

[23]

[24] [25]

[26]

[27]

[28]

[29] [30]

[31]

[32]

[33]

[34]

[35]

J.C. de Oliveira et al. / Leukemia Research 36 (2012) 293–298 inverse effects on invasion and migration of lung cancer cells. BMC Cancer 2010;10:318. Guo S, Lu J, Schlanger R, Zhang H, Wang JY, Fox MC. MicroRNA miR125a controls hematopoietic stem cell number. Proc Natl Acad Sci USA 2010;107:14229–34. Zhang B, Pan X, Cobb GP, Anderson TA. microRNAs as oncogenes and tumor suppressors. Dev Biol 2007;302:1–12. Sun D, Lee YS, Malhotra A, Kim HK, Matecic M, Evans C, et al. miR-99 family of MicroRNAs suppresses the expression of prostate-specific antigen and prostate cancer cell proliferation. Cancer Res 2011;71:1313–24. Popovic R, Riesbeck LE, Velu CS, Chaubey A, Zhang J, Achille NJ, et al. Regulation of mir-196b by MLL and its overexpression by MLL fusions contributes to immortalization. Blood 2009;113:3314–22. Schotte D, Lange-Turenhout EA, Stumpel DJ, Stam RW, Buijs-Gladdines JG, Meijerink JP, et al. Expression of miR-196b is not exclusively MLL-driven but is especially linked to activation of HOXA genes in pediatric acute lymphoblastic leukemia. Haematologica 2010;95:1675–82. Orlovsky K, Kalinkovich A, Shezen E, Itkin T, Alder H, et al. Down-regulation of homeobox genes MEIS1 and HOXA in MLL-rearranged acute leukemia impairs engraftment and reduces proliferation. Proc Natl Acad Sci USA 2011;08:7956–61. Bhatia S, Kaul D, Varma N. Functional genomics of tumor suppressor miR-196b in T-cell acute lymphoblastic leukemia. Mol Cell Biochem 2011;346:103–16. Schotte D, De Menezes RX, Akbari Moqadam F, Mohammadi Khankahdani L, Lange-Turenhout E, Chen C, et al. MicroRNAs characterize genetic diversity and drug resistance in pediatric acute lymphoblastic leukemia. Haematologica 2011;96:703–11. Forestier E, Andersen MK, Autio K, Blennow E, Borgström G, Golovleva I, et al. Cytogenetic patterns in ETV6/RUNX1-positive pediatric B-cell precursor acute lymphoblastic leukemia: a Nordic series of 245 cases and review of the literature. Genes Chromosomes Cancer 2007;46:440–50. Henson BJ, Bhattacharjee S, O’Dee DM, Feingold E, Gollin SM. Decreased expression of miR-125b and miR-100 in oral cancer cells contributes to malignancy. Genes Chromosomes Cancer 2009;48:569–82. Shi W, Alajez NM, Bastianutto C, Hui AB, Mocanu JD, Ito E, et al. Significance of Plk1 regulation by miR-100 in human nasopharyngeal cancer. Int J Cancer 2010;126:2036–48. Tovar V, Alsinet C, Villanueva A, Hoshida Y, Chiang DY, Sole M, et al. IGF activation in a molecular subclass of hepatocellular carcinoma and pre-clinical efficacy of IGF-1R blockage. J Hepatol 2010;52:550–9. Nagaraja AK, Creighton CJ, Yu Z, Zhu H, Gunaratne PH, Reid JG, et al. A link between mir-100 and FRAP1/mTOR in clear cell ovarian cancer. Mol Endocrinol 2010;24:447–63.

[36] Zheng YS, Zhang H, Zhang XJ, Feng DD, Luo XQ, Zeng CW, et al. MiR-100 regulates cell differentiation and survival by targeting RBSP3, a phosphatase-like tumor suppressor in acute myeloid leukemia. Oncogene, in press. [37] Cortez MA, Nicoloso MS, Shimizu M, Rossi S, Gopisetty G, Molina JR, et al. miR29b and miR-125a regulate podoplanin and suppress invasion in glioblastoma. Genes Chromosomes Cancer 2010;49:981–90. [38] Yang Y, Li X, Yang Q, Wang X, Zhou Y, Jiang T, et al. The role of microRNA in human lung squamous cell carcinoma. Cancer Genet Cytogenet 2010;200:127–33. [39] Ferretti E, De Smaele E, Po A, Di Marcotullio L, Tosi E, Espinola MS, et al. MicroRNA profiling in human medulloblastoma. Int J Cancer 2009;124: 568–77. [40] Bellon M, Lepelletier Y, Hermine O, Nicot C. Deregulation of microRNA involved in hematopoiesis and the immune response in HTLV-I adult T-cell leukemia. Blood 2009;113:4914–7. [41] Nishida N, Mimori K, Fabbri M, Yokobori T, Sudo T, Tanaka F, et al. MicroRNA125a-5p is an independent prognostic factor in gastric cancer and inhibits the proliferation of human gastric cancer cells in combination with trastuzumab. Clin Cancer Res 2011;17(9):2725–33. [42] Jiang L, Huang Q, Chang J, Wang E, Qiu X. MicroRNA HSA-miR-125a-5p induces apoptosis by activating p53 in lung cancer cells. Exp Lung Res 2011;37: 387–98. [43] Guled M, Lahti L, Lindholm PM, Salmenkivi K, Bagwan I, Nicholson AG, et al. CDKN2A, NF2, and JUN are dysregulated among other genes by miRNAs in malignant mesothelioma – a miRNA microarray analysis. Genes Chromosomes Cancer 2009;48:615–23. [44] Zhao JJ, Yang J, Lin J, Yao N, Zhu Y, Zheng J, et al. Identification of miRNAs associated with tumorigenesis of retinoblastoma by miRNA microarray analysis. Childs Nerv Syst 2009;25:13–20. [45] Ragusa M, Majorana A, Statello L, Maugeri M, Salito L, Barbagallo D, et al. Specific alterations of microRNA transcriptome and global network structure in colorectal carcinoma after cetuximab treatment. Mol Cancer Ther 2010;9:3396–409. [46] Li Y, VandenBoom TG, Kong D, Wang Z, Ali S, Philip PA, et al. Up-regulation of miR-200 and let-7 by natural agents leads to the reversal of epithelialto-mesenchymal transition in gemcitabine-resistant pancreatic cancer cells. Cancer Res 2009;69:6704–12. [47] Sorrentino A, Liu CG, Addario A, Peschle C, Scambia G, Ferlini C. Role of microRNAs in drug-resistant ovarian cancer cells. Gynecol Oncol 2008;111:478–86. [48] Buechner J, Tømte E, Haug BH, Henriksen JR, Løkke C, Flægstad T, et al. Tumoursuppressor microRNAs let-7 and mir-101 target the proto-oncogene MYCN and inhibit cell proliferation in MYCN-amplified neuroblastoma. Br J Cancer 2011;105:296–303.