ETS‑related gene is a novel prognostic factor in childhood acute lymphoblastic leukemia

  • Authors:
    • Hai‑Zhao Zhao
    • Ming Jia
    • Ze‑Bin Luo
    • Xiao‑Jun Xu
    • Si‑Si Li
    • Jing‑Ying Zhang
    • Xiao‑Ping Guo
    • Yong‑Min Tang
  • View Affiliations

  • Published online on: November 18, 2016     https://doi.org/10.3892/ol.2016.5397
  • Pages: 455-462
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Abstract

The ETS‑related gene (ERG) has been demonstrated to be associated with overall survival in cytogenetically normal acute myeloid leukemia and acute T cell‑lymphoblastic leukemia (T‑ALL) in adult patients. However, there are no data available regarding the impact of ERG expression on childhood ALL. In the present study, ERG expression levels were analyzed in bone marrow samples from 119 ALL pediatric patients. ALL patients demonstrated higher ERG expression compared with the controls (P<0.0001). In addition, low ERG expression identified a group of patients with higher white blood cell counts (P=0.011), higher percentages of T‑ALL immunophenotype (P=0.027), and higher relapse rates (P=0.009). Survival analyses demonstrated that low ERG expression was associated with inferior relapse‑free survival (RFS) in childhood ALL (P=0.036) and was an independent prognostic factor in multivariable analyses for RFS. In conclusion, low ERG expression is associated with poor outcomes and may be used to serve as a molecular prognostic marker to identify patients with a high risk of relapse in childhood ALL.

Introduction

Acute lymphoblastic leukemia (ALL) is the most common malignancy in the pediatric population. Over the past decades, with the progress in risk classification schemes and frontline protocol design, the overall survival (OS) in childhood ALL has exceeded 80% with contemporary treatment regimens (1). However, 15–20% of children with ALL have disease relapse (2). ALL is a heterogeneous disease at the cytogenetic and genetic levels, numerous acquired genetic abnormalities have been described in patients with ALL, including chromosomal translocations, aneuploidy, deletions, and amplifications (3). Certain genetic abnormalities, such as breakpoint cluster region/Abelson murine leukemia viral oncogene homolog 1 (BCR/ABL1) and ETS variant 6-Runt-related transcription factor 1, are well-established prognostic factors (4). However, the identification and understanding of novel genetic abnormalities remains important, in order to optimize and refine the risk-stratification strategy and individualized therapy, particularly for the high-risk and relapsed patients.

ETS transcription factors are key in cell development, differentiation, proliferation, apoptosis and tissue remodeling (5). As a member of the ETS family, the ETS-related gene (ERG) is preferentially and strongly expressed in the immature B- and T-lymphoid lineages, in addition to myeloid lineage cells (6). ERG has been demonstrated to act as a proto-oncogene that can transform NIH3T3 cells and give rise to tumors in nude mice (7). ERG gene rearrangements have been identified in Ewing sarcoma and prostate cancer (8,9). Previous studies suggest that ERG overexpression is associated with inferior clinical outcome (10,11) and is an independent prognostic factor in cytogenetically normal acute myeloid leukemia (AML) (1214). Furthermore, in acute T cell-lymphoblastic leukemia (T-ALL) patients, a high level of ERG expression has been associated with poor relapse-free survival (RFS) (15,16). In childhood AML, the impact of ERG expression level is somewhat controversial: Pigazzi et al (17) suggested that high ERG expression was an independent unfavorable prognostic marker for childhood myeloid leukemia, whereas the study by Hermkens et al did not find such correlation (18).

However, to the best of our knowledge, no studies have yet investigated the prognostic correlation of ERG expression in childhood ALL. The present study analyzed ERG mRNA expression levels in 119 childhood patients with newly diagnosed ALL, and aimed to validate their prognostic significance in pediatric ALL patients.

Materials and methods

Patients and treatment

The expression levels of ERG in 119 bone marrow (BM) samples from patients with newly diagnosed ALL (median age, 6 years; range, 1–14 years; 76 males and 43 females) were retrospectively analyzed between January 2007 and December 2010 at the Children's Hospital of Zhejiang University School of Medicine (Hangzhou, China). The diagnostic criteria of ALL was based on morphology, immunology, and cytogenetics, as described previously (19). Overall, there were 91 B cell-ALL (B-ALL) patients and 28 T-ALL patients. Furthermore, 36 BM samples from children (median age, 6 years; range, 1–14 years; 23 males and 13 females) without history of malignancies were selected and served as controls. Written informed consent was obtained from the parents or guardians. All treatments were administered in accordance with the Declaration of Helsinki and approved by the ethics review board of the Children's Hospital of Zhejiang University.

Patients received treatment with the modified National Protocol of Childhood ALL in China 1997 at the hospital, which has been described in our previous study (20). Based on the modified National Cancer Institute criteria, patients were classified as low-risk (LR) group, intermediate risk (IR) group or high-risk (HR) group (20). Patients with one of the following features were considered as IR: i) Age, >10 years old; ii) initial white blood cell (WBC) counts >50×109/l but <100×109/l; iii) central nervous system leukemia and/or testicular leukemia at diagnosis; iv) T lineage ALL; v) hypodiploidy (<45 chromosomes). Patients with aged <1 year old, or initial WBC counts ≥100×109/l, or with t(9;22), t(4;11) or BCR/ABL1, MLL/AF4 (the fusion of the MLL gene on chromosome 11 and the AF4 gene on chromosome 4) fusion genes, or poor response to prednisone or not achieving complete remission (CR) on day 42 were considered HR. Otherwise, patients without any features as described above were assigned to the LR group.

RNA isolation and reverse transcription-quantitative polymerase chain reaction (RT-qPCR)

Mononuclear cells from BM samples were isolated by Ficoll gradient centrifugation and cryopreserved in liquid nitrogen. Total RNA was extracted using High Pure RNA Isolation Kit (Roche Diagnostics GmbH, Mannheim, Germany) following the manufacturer's protocols. First-strand cDNA was synthesized from total RNA with reverse transcriptase and random primers, using the ReverTra Ace qPCR RT kit (Toyobo Co., Ltd., Osaka, Japan). Samples were selected based on the quality and quantity of RNA.[optical density (OD)260/OD280 ratio, 1.8–2.0].

qPCR was performed with a 96-well optic plate on a StepOnePlus™ Real-time PCR system (Applied Biosystems; Thermo Fisher Scientific, Inc., Waltham, MA, USA), with GAPDH as an endogenous control. Every sample was tested in triplicate. The comparative cycle threshold (CT) method was used to determine the relative expression levels of ERG to GAPDH, using the mean of ΔCT from three replicates and expressed as 2µ(ΔCT) (ΔCT=GAPDH-ERG), as previously described (10). Each reaction mixture consisted of 2 µl cDNA, 12.5 µl SYBR Green PCR Master mix (Toyobo Co., Ltd.), 1 µl of ERG primers (5 nmol/ml) or 1 µl of GAPDH primers (5 nmol/ml) and deionized water to a total volume of 25 µl. The primers of ERG and GAPDH were as described in previous studies (15,21), with the sequences as follows: 5′-CACGAACGAGCGCAGAGTTA-3′ for ERG1; 5′-CTGCCGCACATGGTCTGTAC-3′ for ERG2; 5′-ATGGGGAAGGTGAAGGTCG-3′ for GAPDH1; 5′-GGGTCATTGATGGCAACAATATC-3′ for GAPDH2. PCR amplification was performed under the following conditions: First reaction, 94°C for 5 min, followed by 30 cycles at 94°C for 30 sec, 55°C for 30 sec and 72°C for 1 min; second reaction, 94°C for 5 min, followed by 35 cycles at 94°C for 30 sec, 58°C for 30 sec and 72°C for 1 min, using Taq DNA Polymerase from Toyobo (Osaka, Japan).

In addition, the Ikaros 6 (IK6) variant of Ikaros family zinc finger protein 1 gene was detected by nested PCR using primers described in a previous study (22). All PCR products were size-fractionated by electrophoresis on a 1.5% agarose gel and stained with ethidium bromide using the Image Lab™ Software of Gel Doc XR (Bio-Rad Laboratories Inc., Hercules, CA, USA).

Statistical analysis

The median value of all measurements was selected to define the low and high ERG expressing patients. Patients were classified as having high ERG if they had expression values above the median value of all patients and as low ERG if they had ERG expression values below the median value. Comparisons of baseline clinical variables across groups were conducted using the χ2 test and the nonparametric Mann-Whitney U test for categorical and continuous variables, respectively. Student's t-test for independent samples was selected to perform mean comparisons between distinct groups.

Estimated probabilities of RFS and OS were calculated using the Kaplan-Meier method, and the log-rank test evaluated differences between survival distributions. RFS was determined from the date of achieving CR to relapse, any mortality or last contact. OS was measured from the date of first diagnosis until the date of mortality regardless of cause, censoring for patients alive at last follow-up. The last follow-up was September 2014. Multivariable proportional hazards models were constructed for RFS and OS, using a stepwise forward selection procedure. The following covariates were included in the full model: Age (≤1 year, ≥10 years vs. 1–10 years), WBC counts (≥50×109/l vs. <50×109/l); risk (high vs. low + intermediate); ERG expression (low vs. high), BM blasts (more than or equal to the median vs. less than median), and BCR/ABL1 (presence vs. absence).

All calculations were performed using the SPSS 17.0 software package (SPSS Inc., Chicago, IL, USA), and P<0.05 was considered to indicate a statistically significant difference.

Results

Expression of ERG in childhood ALL patients and control samples

ERG mRNA expression was retrospectively analyzed in pretreatment BM samples of 119 patients with newly diagnosed ALL and BM samples of 36 controls. ALL patients demonstrated higher ERG expression compared with controls (P<0.0001; Fig. 1).

ERG expression and correlation to clinical features and molecular features

The clinical characteristics of 119 patients included in the present study are summarized in Table I. Overall, patients with low ERG expression exhibited higher pretreatment WBC counts (median, 32.2×109/l vs. 17.95×109/l; P=0.011), compared with the high ERG expression group. In addition, low expression of ERG was associated with higher percentage of T-ALL (P=0.027). However, there was no significant association between the ERG expression levels and the age, gender, platelet count, BM blasts, peripheral blood blasts extramedullary involvement, the risk group, Ik6 mutation, presence of BCR/ABL1 or MLL/AF4, and day 22 minimal residual disease.

Table I.

Clinical characteristics of patients with high and low ERG expression.

Table I.

Clinical characteristics of patients with high and low ERG expression.

CharacteristicLow ERG (n=59)High ERG (n=60)P-value
Age, years 0.432
  Median7.55
  Range1–141–14
Sex, male, n (%)35 (59)41 (68)0.306
WBC count, ×109/l 0.011
  Median32.2017.95
  Range2.4–552.90.8–760.0
PLT count, ×109/l 0.139
  Median4858
  Range10–3304–359
BM blasts, % 0.912
  Median9090
  Range61–9861–98
PB blasts, % 0.105
  Median3014.5
  Range0–850–80
Extramedullary involvement, n (%) 0.623
  Yes1 (2)3 (5)
Immunophenotype, n (%) 0.027
  B-ALL40 (68)51 (85)
  T-ALL19 (32)9 (15)
Risk, n (%) 0.117
  Low13 (22)22 (37)
  Intermediate15 (25)13 (22)
  High31 (53)25 (41)
Ik6, n (%) 0.396
  Mutated5 (8)8 (13)
  Unmuated54 (92)52 (87)
BCR/ABL1, n (%) 0.774
  Presence5 (8)6 (10)
  Absence54 (92)54 (90)
MLL/AF4, n (%) 1.000
  Presence1 (2)1 (2)
  Absence58 (98)59 (98)
Day 22 MRD, n (%) 0.888
  ≥0.01%7 (12)6 (10)
  <0.01%52 (88)54 (90)

[i] ERG, ETS-related gene; WBC, white blood cell; BM, bone marrow; PB, peripheral blood; PLT, platelet; ALL, acute lymphoblastic leukemia; Ik6, Ikaros isoform 6; BCR/ABL1, breakpoint cluster region/Abelson murine leukemia viral oncogene homolog 1; MRD, minimal residual disease.

In the subgroup analysis regarding the association between ERG expression values and molecular genetics, no significant difference was observed between patients with BCR/ABL1 compared with those patients without this fusion gene (P=0.273). Similarly, there was no significant difference in ERG expression levels between IK6 positive and negative groups (P=0.262).

Outcome and survival in childhood ALL patients with respect to ERG expression

Compared with high ERG expressing patients, patients with low ERG expression had a higher relapse rate (33 vs. 12%; P=0.009; Table II). Patients with low ERG expression exhibited a reduced prednisone response (79 vs. 91%; P=0.055; Table II). However, no statistical significance was observed in CR rates between the low ERG group and high ERG group.

Table II.

Outcomes according to ERG expression.

Table II.

Outcomes according to ERG expression.

OutcomeLow ERGHigh ERGP-value
Induction regimen 0.055
  Sensitive (%)44 (79)53 (91)
CR 1.000
  No (%)3 (5.4)6 (6.6)
Relapse 0.009
  Yes (%)18 (33)7 (12)
Relapse free survival 0.036
  Median, months62.564
  Relapse-free at 5-year, %5879
  95% CI44–7268–89
Overall survival 0.620
  Median, months7165
  Alive at 5-year, %7178
  95% CI58–8367–89

[i] ERG, ETS-related gene; CI, confidence interval; CR, complete remission.

The median follow-up time was 67.5 months with a range of 1–93 months. Following the exclusion of 9 patients who received hematopoietic stem cell transplantation and 2 patients whose exact survival data could not be obtained, the remaining 108 ALL patients were included for analyses of overall OS and 101 for RFS. RFS was significantly different between the two groups (P=0.036; Fig. 2A), patients in high ERG group had an estimated 5-year relapse-free rate of 79% (95% CI, 68–89%; Table II) compared with 58% (95% CI, 44–72%; Table II) in the low ERG group. Furthermore, the estimated 5-year survival rate was 71% (95% CI, 58–83%; Table II) in the low ERG group compared with 78% (95% CI, 67–89%; Table II) in the high ERG group, however, no statistical difference was observed for differences in OS between the two groups (P=0.62; Fig. 2B).

Considering the difference of therapy in LR, IR and HR patients, survival analyses for OS and RFS based on ERG expression were also conducted in the LR, IR and HR subgroups respectively. However, the results did not indicate any survival difference between the high ERG group and the low ERG group (data not shown) in any subgroup.

Multivariate analysis for clinical outcome in childhood ALL

A multivariate analysis including ERG expression, age, WBC counts, risk, BM blast and BCR/ABL1 was also performed to determine the prognostic importance of ERG expression on RFS and OS. Subsequent to adjusting for the impact of other factors, ERG expression remained an independent prognostic factor for RFS (Table III). In the Cox proportional hazards model, BM blast (more than or equal to the median vs. less than the median) and BCR/ABL1 (presence vs. absence) were independent prognostic factors for RFS (Table III). In addition, WBC counts (≥50×109/l vs. <50×109/l) and BM blast (more than or equal to the median vs. less than the median), were independent prognostic factors for OS (Table III).

Table III.

Multivariate analyses for RFS and OS in pediatric ALL patients.

Table III.

Multivariate analyses for RFS and OS in pediatric ALL patients.

RFSOS


FactorHR95% CIP-valueHR95% CIP-value
Age, ≤1 year, ≥10 years vs. 1–10 years1.670.82–3.420.1571.830.87–3.840.109
WBC, ≥50×109/l vs. <50×109/l1.750.86–3.590.1252.191.05–4.570.036
Risk, high vs. low + intermediate1.770.88–3.550.1081.720.83–3.590.146
ERG expression, low vs. high2.171.05–4.480.0361.210.58–2.500.624
BM blast %, ≥median vs. <median2.471.13–5.380.0232.871.22–6.730.015
BCR/ABL1, presence vs. absence3.411.38–8.420.0082.190.82–5.880.119

[i] ALL, acute lymphoblastic leukemia; OS, overall survival; RFS, relapse-free survival; ERG, ETS-related gene; WBC, white blood cell; BM, bone marrow; BCR/ABL1, breakpoint cluster region/Abelson murine leukemia viral oncogene homolog 1; HR, hazard ratio; CI, confidence interval.

ERG expression in childhood B-ALL patients

ERG expression levels were also analyzed in 91 B-ALL patients. Among all the clinical features described above, there was only a significant difference in WBC counts between the low ERG group and the high ERG group (median in the low ERG group, 23.6×109/l vs. median in the high ERG group, 12.7×109/l; P=0.037) (Table IV). Subsequently, the relevance between ERG expression levels and outcomes in B-ALL patients was investigated. Patients with low ERG expression had higher relapse rate (32 vs. 13%; P=0.029; Table IV). No significant difference was observed in CR rates (P=1.000) and prednisone response (P=0.155) between the two groups based on ERG expression. Furthermore, survival analyses suggested that patents with low ERG expression had inferior RFS (P=0.038; estimated 5-year relapse-free rate, 54 vs. 77%; Table IV and Fig. 3A). However, no significant difference was observed in OS (P=0.628; estimated 5-year survival rate, 68% vs. 78%; Table IV and Fig. 3B) was observed between patients with high ERG expression and those with low ERG expression. Results from multivariate analysis indicated that in childhood B-ALL patients, ERG was not an independent prognostic factor, for either OS, or for RFS. The independent prognostic factors for OS were age (≤1 year, ≥10 years vs. 1–10 years) and WBC counts (≥50×109/l vs. <50×109/l; Table V). In addition, age (≤1 year, ≥10 years vs. 1–10 years), WBC counts (≥50×109/l vs. <50×109/l) and BCR/ABL1 (presence vs. absence) were independent prognostic factors for RFS (Table V).

Table IV.

ERG expression in childhood B-ALL patients.

Table IV.

ERG expression in childhood B-ALL patients.

CharacteristicLow ERG (n=40)High ERG (n=51)P-value
WBC count, ×109/l 0.037
  Median23.612.7
  Range2.4–552.90.8–760
Outcome
Response to prednisone 0.155
  Sensitive, n (%)29 (79)43 (90)
CR 1.000
  No, n (%)2 (5.4)4 (7.2)
Relapse 0.029
  Yes, n (%)12 (32)6 (13)
Relapse free survival 0.038
  Relapse-free at 5-year, %5477
  95% CI38–7164–89
Overall survival 0.628
  Alive at 5-year, %6878
  95% CI53–8366–89

[i] B-ALL, B cell acute lymphoblastic leukemia; ERG, ETS-related gene; WBC, white blood cell; CI, confidence interval; CR, complete remission.

Table V.

Multivariate analyses for RFS and OS in pediatric B-ALL patients.

Table V.

Multivariate analyses for RFS and OS in pediatric B-ALL patients.

RFSOS


FactorHR95% CIP-valueHR95% CIP-value
Age, ≤1 year, ≥10 years vs. 1–10 years2.411.1–5.260.0282.791.25–6.200.012
WBC, ≥50×109/l vs. <50×109/l2.771.25–6.170.0132.871.29–6.370.010
Risk, high vs. low + intermediate1.640.61–4.360.2861.310.49–3.500.353
ERG expression, low vs. high1.850.83–4.160.1531.210.55–2.680.632
BM blast %, ≥median vs. <median2.160.79–5.900.1122.470.83–7.360.078
BCR/ABL, presence vs. absence4.601.76–12.020.0021.980.67–5.800.098

[i] B-ALL, B-cell acute lymphoblastic leukemia; BM, bone marrow; CI, confidence interval; CR, complete remission; ERG, ETS-related gene; HR, hazard ratio; WBC, white blood cell; OS, overall survival; RFS, relapse free survival; BCR/ABL1, breakpoint cluster region/Abelson murine leukemia viral oncogene homolog 1.

Discussion

Treatment improvement in ALL requires an optimal risk stratification of patients to guide subsequent risk-adapted treatment. Thus, molecular study of ALL has always been one of the most active areas of leukemia research. In the present study, the ERG expression levels in a cohort of 119 childhood ALL patients and its correlation to clinical features and outcome were investigated. The results of the current study support that ERG expression has an association with the outcome of childhood ALL patients.

Together with its >30 ETS family members, ERG acts as downstream nuclear targets of signal transduction pathways regulating and promoting cell differentiation, proliferation, and tissue invasion (5,7,23). ERG rearrangements with EWS RNA binding protein 1 and FUS RNA binding protein have been respectively identified in Ewing sarcomas harboring t(21;22) (q22;q12) and in AML with t(16;21) (p11;q22) (8,24), and are likely to increase the oncogenic activity of the resulting chimeric transcription factors by redirecting them to specific targets (10).

Furthermore, in hematopoietic tissues, ERG expression is restricted to progenitor cells (25). High expression of ERG is significantly correlated with the immature subtypes of AML (10). The present study compared BM samples from childhood ALL patients with those of controls, and ERG overexpression was observed in pediatric ALL patients with more immature leukemia cells in their bone marrow. The above results suggest that ERG may be associated with the outcomes of pediatric ALL patients.

BCR/ABL1 positivity is a particularly poor prognostic marker for ALL (2628). In addition, dominant-negative Ikaros isoform, notably Ik6, has been reported to be highly expressed in ALL, and correlated with clinical outcome (29). The relevance between ERG expression and the presence of BCR/ABL1 or IK6 mutations in pediatric ALL required further elucidation. The present study analyzed ERG expression values in patients according to BCR/ABL1 and IK6 mutation status. The results demonstrated that there was no significant difference in ERG expression levels between patients with BCR/ABL1 or IK6 and those without these genetic abnormities.

The current study demonstrated that patients in the low ERG group demonstrated a significantly inferior outcome compared with the high ERG group. Low ERG expression identified a group of patients with higher WBC counts and higher percentages of T-ALL, which have been treated as clinically poor prognostic factors in childhood ALL. In addition, low ERG expression conferred an impact on relapse rate and a significant influence on RFS was suggested. In multivariate analysis, subsequent to adjusting for the impact of other factors, ERG remained an independent prognostic factor for RFS. Furthermore, in childhood B-ALL patients, low ERG expression was associated with higher WBC counts, higher relapse rate and poor RFS. The conclusions on how ERG expression levels affect patient outcome and survival between the pediatric group in the present study and other adult groups are inconsistent. As there is no previous study available regarding ERG expression on pediatric ALL, the possible explanations for this discrepancy are as follows: i) Compared with other studies focused on adult leukemia and childhood AML, the current study included patients from a childhood ALL population with marked differences in biology, etiology, treatment protocol and outcome in their diseases; and ii) ERG expression level has been reported to correlate with other genes, such as meningioma (disrupted in balanced translocation) 1 and brain and acute leukemia, cytoplasmic (14), which may also influence the prognostic role of ERG (30), thus, there may be other genes cooperating with or acting against ERG that directly affect its influence on survival in childhood ALL patients; iii) in addition, the inconsistent conclusions may be a result of unadjusted study design confounder from different research centers, including different diseases, ethnic background, medical resources and treatment protocols.

To the best of our knowledge, this is the first study to focus on ERG expression in pediatric ALL patients. However, certain shortcomings remain, including that a relatively small sample size may not be enough to draw a definitive conclusion, and the retrospective nature of the present study may present a certain bias.

In conclusion, the present study suggests that ERG expression level may be useful as a prognostic factor for pediatric ALL stratification, however, further large-scale and well-designed prospective studies are required.

Acknowledgements

The present study was supported by grants from the National Natural Science Foundation of China (grant nos. 30971283, 81170502, 81470304, 81200386 and 81300400), the Zhejiang Provincial Natural Science Foundation of China (grant nos. LZ12H08001 and Q12H080008), the Department of Health of Zhejiang Province of China (grant no. 2013KYA107) and the Leukemia Research Innovative Team of Zhejiang Province (grant no. 2011R50015).

References

1 

Harvey RC, Mullighan CG, Wang X, Dobbin KK, Davidson GS, Bedrick EJ, Chen IM, Atlas SR, Kang H, Ar K, et al: Identification of novel cluster groups in pediatric high-risk B-precursor acute lymphoblastic leukemia with gene expression profiling: Correlation with genome-wide DNA copy number alterations, clinical characteristics, and outcome. Blood. 116:4874–4884. 2010. View Article : Google Scholar : PubMed/NCBI

2 

Bailey LC, Lange BJ, Rheingold SR and Bunin NJ: Bone-marrow relapse in paediatric acute lymphoblastic leukaemia. Lancet Oncol. 9:873–883. 2008. View Article : Google Scholar : PubMed/NCBI

3 

Moorman AV, Ensor HM, Richards SM, Chilton L, Schwab C, Kinsey SE, Vora A, Mitchell CD and Harrison CJ: Prognostic effect of chromosomal abnormalities in childhood B-cell precursor acute lymphoblastic leukaemia: Results from the UK Medical Research Council ALL97/99 randomised trial. Lancet Oncol. 11:429–438. 2010. View Article : Google Scholar : PubMed/NCBI

4 

Moorman AV: The clinical relevance of chromosomal and genomic abnormalities in B-cell precursor acute lymphoblastic leukaemia. Blood Rev. 26:123–135. 2012. View Article : Google Scholar : PubMed/NCBI

5 

Oikawa T: ETS transcription factors: possible targets for cancer therapy. Cancer Sci. 95:626–633. 2004. View Article : Google Scholar : PubMed/NCBI

6 

Anderson MK, Hernandez-Hoyos G, Diamond RA and Rothenberg EV: Precise developmental regulation of Ets family transcription factors during specification and commitment to the T cell lineage. Development. 126:3131–3148. 1999.PubMed/NCBI

7 

Hart AH, Corrick CM, Tymms MJ, Hertzog PJ and Kola I: Human ERG is a proto-oncogene with mitogenic and transforming activity. Oncogene. 10:1423–1430. 1995.PubMed/NCBI

8 

Sorensen PH, Lessnick SL, Lopez-Terrada D, Liu XF, Triche TJ and Denny CT: A second Ewing's sarcoma translocation, t(21;22), fuses the EWS gene to another ETS-family transcription factor, ERG. Nat Genet. 6:146–151. 1994. View Article : Google Scholar : PubMed/NCBI

9 

Tomlins SA, Rhodes DR, Perner S, Dhanasekaran SM, Mehra R, Sun XW, Varambally S, Cao X, Tchinda J, Kuefer R, et al: Recurrent fusion of TMPRSS2 and ETS transcription factor genes in prostate cancer. Science. 310:644–648. 2005. View Article : Google Scholar : PubMed/NCBI

10 

Marcucci G, Baldus CD, Ruppert AS, Radmacher MD, Mrózek K, Whitman SP, Kolitz JE, Edwards CG, Vardiman JW, Powell BL, et al: Overexpression of the ETS-related gene, ERG, predicts a worse outcome in acute myeloid leukemia with normal karyotype: A Cancer and Leukemia Group B study. J Clin Oncol. 23:9234–9242. 2005. View Article : Google Scholar : PubMed/NCBI

11 

Marcucci G, Maharry K, Whitman SP, Vukosavljevic T, Paschka P, Langer C, Mrózek K, Baldus CD, Carroll AJ, Powell BL, et al: High expression levels of the ETS-related gene, ERG, predict adverse outcome and improve molecular risk-based classification of cytogenetically normal acute myeloid leukemia: A Cancer and Leukemia Group B Study. J Clin Oncol. 25:3337–3343. 2007. View Article : Google Scholar : PubMed/NCBI

12 

Eid MA, Attia M, Abdou S, El-Shazly SF, Elahwal L, Farrag W and Mahmoud L: BAALC and ERG expression in acute myeloid leukemia with normal karyotype: Impact on prognosis. Int J Lab Hematol. 32:197–205. 2010. View Article : Google Scholar : PubMed/NCBI

13 

Metzeler KH, Dufour A, Benthaus T, Hummel M, Sauerland MC, Heinecke A, Berdel WE, Büchner T, Wörmann B, Mansmann U, et al: ERG expression is an independent prognostic factor and allows refined risk stratification in cytogenetically normal acute myeloid leukemia: A comprehensive analysis of ERG, MN1, and BAALC transcript levels using oligonucleotide microarrays. J Clin Oncol. 27:5031–5038. 2009. View Article : Google Scholar : PubMed/NCBI

14 

Schwind S, Marcucci G, Maharry K, Radmacher MD, Mrózek K, Holland KB, Margeson D, Becker H, Whitman SP, Wu YZ, et al: BAALC and ERG expression levels are associated with outcome and distinct gene and microRNA expression profiles in older patients with de novo cytogenetically normal acute myeloid leukemia: A Cancer and Leukemia Group B study. Blood. 116:5660–5669. 2010. View Article : Google Scholar : PubMed/NCBI

15 

Baldus CD, Burmeister T, Martus P, Schwartz S, Gökbuget N, Bloomfield CD, Hoelzer D, Thiel E and Hofmann WK: High expression of the ETS transcription factor ERG predicts adverse outcome in acute T-lymphoblastic leukemia in adults. J Clin Oncol. 24:4714–4720. 2006. View Article : Google Scholar : PubMed/NCBI

16 

Baldus CD, Martus P, Burmeister T, Schwartz S, Gökbuget N, Bloomfield CD, Hoelzer D, Thiel E and Hofmann WK: Low ERG and BAALC expression identifies a new subgroup of adult acute T-lymphoblastic leukemia with a highly favorable outcome. J Clin Oncol. 25:3739–3745. 2007. View Article : Google Scholar : PubMed/NCBI

17 

Pigazzi M, Masetti R, Martinolli F, Manara E, Beghin A, Rondelli R, Locatelli F, Fagioli F, Pession A and Basso G: Presence of high-ERG expression is an independent unfavorable prognostic marker in MLL-rearranged childhood myeloid leukemia. Blood. 119:1086–1087; author reply 1087–1088. 2012. View Article : Google Scholar : PubMed/NCBI

18 

Hermkens MC, van den Heuvel-Eibrink MM, Arentsen-Peters ST, Baruchel A, Stary J, Reinhardt D, Zimmerman M, de Haas V, Pieters R and Zwaan CM: The clinical relevance of BAALC and ERG expression levels in pediatric AML. Leukemia. 27:735–737. 2013. View Article : Google Scholar : PubMed/NCBI

19 

Subspecialty Group of Hematology Diseases, The Society of Pediatrics, Chinese Medical Association; Editorial Board, Chinese Journal of Pediatrics, . Recommendations for diagnosis and treatment of acute lymphoblastic leukemia in childhood (3rd revised version). Zhonghua Er Ke Za Zhi. 44:392–395. 2006.(In Chinese). PubMed/NCBI

20 

Xu XJ, Tang YM, Shen HQ, Song H, Yang SL, Shi SW and Xu WQ: Day 22 of induction therapy is important for minimal residual disease assessment by flow cytometry in childhood acute lymphoblastic leukemia. Leuk Res. 36:1022–1027. 2012. View Article : Google Scholar : PubMed/NCBI

21 

Mu Q, Wang Y, Chen B, Qian W, Meng H, Tong H, Chen F, Ma Q, Ni W, Chen S and Jin J: High expression of Musashi-2 indicates poor prognosis in adult B-cell acute lymphoblastic leukemia. Leuk Res. 37:922–927. 2013. View Article : Google Scholar : PubMed/NCBI

22 

Mullighan CG, Miller CB, Radtke I, Phillips LA, Dalton J, Ma J, White D, Hughes TP, Le Beau MM, Pui CH, et al: BCR-ABL1 lymphoblastic leukaemia is characterized by the deletion of Ikaros. Nature. 453:110–114. 2008. View Article : Google Scholar : PubMed/NCBI

23 

Oikawa T and Yamada T: Molecular biology of the Ets family of transcription factors. Gene. 303:11–34. 2003. View Article : Google Scholar : PubMed/NCBI

24 

Ichikawa H, Shimizu K, Hayashi Y and Ohki M: An RNA-binding protein gene, TLS/FUS, is fused to ERG in human myeloid leukemia with t(16;21) chromosomal translocation. Cancer Res. 54:2865–2868. 1994.PubMed/NCBI

25 

Rainis L, Toki T, Pimanda JE, Rosenthal E, Machol K, Strehl S, Göttgens B, Ito E and Izraeli S: The proto-oncogene ERG in megakaryoblastic leukemias. Cancer Res. 65:7596–7602. 2005.PubMed/NCBI

26 

Dombret H, Gabert J, Boiron JM, Rigal-Huguet F, Blaise D, Thomas X, Delannoy A, Buzyn A, Bilhou-Nabera C, Cayuela JM, et al: Outcome of treatment in adults with Philadelphia chromosome-positive acute lymphoblastic leukemia-results of the prospective multicenter LALA-94 trial. Blood. 100:2357–2366. 2002. View Article : Google Scholar : PubMed/NCBI

27 

Gleissner B, Gökbuget N, Bartram CR, Janssen B, Rieder H, Janssen JW, Fonatsch C, Heyll A, Voliotis D, Beck J, et al: Leading prognostic relevance of the BCR-ABL translocation in adult acute B-lineage lymphoblastic leukemia: A prospective study of the German Multicenter Trial Group and confirmed polymerase chain reaction analysis. Blood. 99:1536–1543. 2002. View Article : Google Scholar : PubMed/NCBI

28 

Mancini M, Scappaticci D, Cimino G, Nanni M, Derme V, Elia L, Tafuri A, Vignetti M, Vitale A, Cuneo A, et al: A comprehensive genetic classification of adult acute lymphoblastic leukemia (ALL): Analysis of the GIMEMA 0496 protocol. Blood. 105:3434–3441. 2005. View Article : Google Scholar : PubMed/NCBI

29 

Liu P, Lin Z, Qian S, Qiao C, Qiu H, Wu Y, Li J and Ge Z: Expression of dominant-negative Ikaros isoforms and associated genetic alterations in Chinese adult patients with leukemia. Ann Hematol. 91:1039–1049. 2012. View Article : Google Scholar : PubMed/NCBI

30 

Staffas A, Kanduri M, Hovland R, Rosenquist R, Ommen HB, Abrahamsson J, Forestier E, Jahnukainen K, Jónsson ÓG, Zeller B, et al: Presence of FLT3-ITD and high BAALC expression are independent prognostic markers in childhood acute myeloid leukemia. Blood. 118:5905–5913. 2011. View Article : Google Scholar : PubMed/NCBI

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January-2017
Volume 13 Issue 1

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Online ISSN:1792-1082

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Spandidos Publications style
Zhao HZ, Jia M, Luo ZB, Xu XJ, Li SS, Zhang JY, Guo XP and Tang YM: ETS‑related gene is a novel prognostic factor in childhood acute lymphoblastic leukemia. Oncol Lett 13: 455-462, 2017
APA
Zhao, H., Jia, M., Luo, Z., Xu, X., Li, S., Zhang, J. ... Tang, Y. (2017). ETS‑related gene is a novel prognostic factor in childhood acute lymphoblastic leukemia. Oncology Letters, 13, 455-462. https://doi.org/10.3892/ol.2016.5397
MLA
Zhao, H., Jia, M., Luo, Z., Xu, X., Li, S., Zhang, J., Guo, X., Tang, Y."ETS‑related gene is a novel prognostic factor in childhood acute lymphoblastic leukemia". Oncology Letters 13.1 (2017): 455-462.
Chicago
Zhao, H., Jia, M., Luo, Z., Xu, X., Li, S., Zhang, J., Guo, X., Tang, Y."ETS‑related gene is a novel prognostic factor in childhood acute lymphoblastic leukemia". Oncology Letters 13, no. 1 (2017): 455-462. https://doi.org/10.3892/ol.2016.5397