Literature DB >> 25794001

Clinical and prognostic implications of Roundabout 4 (robo4) in adult patients with acute myeloid leukemia.

Yin-Kai Chen1, Hsin-An Hou2, Jih-Luh Tang3, Jie-Yang Jhuang4, Yan-Jun Lai3, Ming-Cheng Lee3, Yuan-Yeh Kuo5, Wen-Chien Chou6, Chieh-Yu Liu7, Chung-Wu Lin8, Shih-Sung Chuang9, Chien-Yuan Chen3, Mei-Hsuan Tseng3, Chi-Fei Huang3, Ying-Chieh Chiang3, Fen-Yu Lee8, Ming-Chih Liu8, Chia-Wen Liu8, Ming Yao3, Shang-Yi Huang3, Bor-Sheng Ko3, Szu-Chun Hsu10, Shang-Ju Wu3, Woei Tsay3, Yao-Chang Chen6, Hwei-Fang Tien3.   

Abstract

BACKGROUND: Robo4 is involved in hematopoietic stem/progenitor cell homeostasis and essential for tumor angiogenesis. Expression of Robo4 was recently found in solid tumors and leukemia stem cells. However, the clinical implications of Robo4 expression in patients with acute myeloid leukemia (AML) remain unclear.
METHODS: We investigated the clinical and prognostic relevance of mRNA expression of Robo4 in bone marrow (BM) mononuclear cells from 218 adult patients with de novo AML. We also performed immunohistochemical staining to assess the Robo4 protein expression in the BM biopsy specimens from 30 selected AML patients in the cohort.
RESULTS: Higher Robo4 expression was closely associated with lower white blood cell counts, expression of HLA-DR, CD13, CD34 and CD56 on leukemia cells, t(8;21) and ASXL1 mutation, but negatively correlated with t(15;17) and CEBPA mutation. Compared to patients with lower Robo4 expression, those with higher expression had significantly shorter disease-free survival (DFS) and overall survival (OS). This result was confirmed in an independent validation cohort. Furthermore, multivariate analyses showed that higher Robo4 expression was an independent poor prognostic factor for DFS and OS in total cohort and patients with intermediate-risk cytogenetics, irrespective of age, WBC count, karyotype, and mutation status of NPM1/FLT3-ITD, and CEBPA.
CONCLUSIONS: BM Robo4 expression can serve as a new biomarker to predict clinical outcomes in AML patients and Robo4 may serve as a potential therapeutic target in patients with higher Robo4 expression.

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Year:  2015        PMID: 25794001      PMCID: PMC4368775          DOI: 10.1371/journal.pone.0119831

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The Roundabout (Robo) family proteins are highly conserved transmembrane cell adhesion molecules that are expressed predominantly in neuronal tissues and play a role in the development of the nervous system. [1, 2] Roundabout 4 (Robo4), the fourth member of Robo family, was first identified by Huminiecki et al in 2002. [3] It is distinct from the other family members in that it is expressed specifically in endothelial cells [4,5] and hematopoietic stem/progenitor cells (HSPCs). [6,7] Robo4 acts as a receptor for Slit 2 and modulates vascular endothelial growth factor A (VEGF)–VEGF receptor signaling. [8,9] The Slit-Robo signaling is essential for angiogenesis, [6,10] especially tumor angiogenesis. [11] obo4 expression was found to be significantly up-regulated in tumor endothelia compared to their normal counterparts. [12] In addition to angiogenesis, Slit2-Robo4 signaling pathway also plays an essential role in BM homing and mobilization of HSPCs. [7,13] Smith-Berdan et al demonstrated that Robo4, in cooperation with CXCR4, acted as an HSPC-specific adhesion receptor to localize HSPC to BM niches. [7] Acute myeloid leukemia (AML) is a heterogeneous hematological malignancy regarding the pathogenesis, clinical features and treatment outcomes. In addition to intrinsic changes of leukemic cells including cytogenetic, genetic and epigenetic alterations, impaired hematopoietic microenvironment of the bone marrow (BM) may also contribute to the development of AML. [14] It has been shown that adhesion of AML cells to the BM stromal cells promotes their survival and proliferation. [15,16] Angiogenesis also plays an important role in AML. [17,18] Higher BM angiogenesis predicts a higher relapse rate and poorer prognosis in AML patients. [18,19] Robo4 has been shown to be expressed on leukemic stem cells. [20] However, little is known about the expression of Robo4 and its clinical implications in AML. In the present study, we investigated the BM Robo4 expression by quantitative real-time polymerase chain reaction (RQ-PCR) in a cohort of 218 adults with de novo AML and correlated the results with clinical features, major molecular mutations and outcomes of the patients. To the best of our knowledge, this is the first report to address the prognostic implication of Robo4 expression in AML patients. We found that higher BM Robo4 expression was an independent unfavorable prognostic factor for overall survival (OS) in these patients, and the finding was also validated in an independent validation cohort.

Materials and Methods

Patients

The original cohort comprised 218 patients with newly diagnosed de novo AML at the National Taiwan University Hospital (NTUH) from April 1996 to December 2007 who had complete clinical data and enough cryopreserved BM samples for analysis. Twenty normal marrow donors were also enrolled for comparison. Diagnosis and classification of AML were made according to the French-American-British (FAB) Cooperative Group Criteria. Among the 218 patients, 148 (67.9%) received standard intensive chemotherapy. The 134 non-M3 patients received induction chemotherapy with idarubicin 12 mg/m2 per day on days 1–3 and cytarabine 100 mg/m2 per day on days 1–7 and then consolidation chemotherapy with 2–4 courses of high-dose cytarabine (2000 mg/m2 q12h days 1–4, total 8 doses), with or without an anthracycline (idarubicin or novatrone), after achieving complete remission (CR). [21,22] The 14 patients with acute promyelocytic leukemia (M3 subtype) received concurrent all-trans retinoic acid and chemotherapy (idarubicin 12 mg/m2 per day on days 1–2) as induction treatment. Consolidation chemotherapy with anthracycline-based regimen was given for 4 courses after CR was achieved. The validation cohort comprised 53 adult AML patients diagnosed at the NTUH from Jan 2008 to June 2009. (S4 Table) These patients were treated with the same regimens as those in the original cohort and were used to validate the prognostic effect of BM Robo4 expression in AML. This study was approved by the Institutional Review Board of the NTUH; and written informed consent was obtained from all participants in accordance with the Declaration of Helsinki.

Quantitative real-time polymerase chain reaction (RQ-PCR)

BM mononuclear cells from 271 patients, including the original and validation cohorts, before chemotherapy and 20 healthy transplantation donors were isolated and cryopreserved until use. Total RNA was extracted and reverse transcribed. The gene expression level was quantified utilizing TaqMan technology on the Applied Biosystems 7500/7500 Fast Real-Time PCR System as previously described. [23] Gene-specific primers and probe of Robo4 were available as TaqMan Gene Expression Assay (Assay ID, Hs00219408_m1*, Applied Biosystems). Each sample was tested at least twice independently. The amount of the target gene was normalized to that of the housekeeping gene RPLP0. [17, 24, 25] The copies of target gene were quantified only after successful amplification of the internal control, using the standard curves derived from cloned plasmids. All data were presented as log ratio of the target gene/RPLP0.

Immunohistochemical staining (IHC) for Robo4 protein

We performed IHC to assess the Robo4 protein expression in the BM biopsy specimens from 30 selected AML patients in the original cohort, 17 having higher Robo4 mRNA expression and another 13, lower Robo4 mRNA expression. The tissue section was prepared from formalin-fixed, paraffin-embedded tissue. After deparaffinization and rehydration as previously described, [23] the slides were boiled in 0.01 mol/L citrate buffer (pH = 6.1) for 5 minutes to retrieve the antigens. The endogenous peroxidase activity was blocked by incubation with 3% H2O2 in methanol for 30 minutes. Then the sections were blocked with 10% normal goat serum (VECTASTAIN Elite ABC kit; Vector Laboratories). The primary antibody we used was rabbit polyclonal anti-human Robo4 (PAB12049, Abnova) at a 1:250 dilution. A negative, no-antibody control was included for each staining. The slides were incubated with a biotinylated secondary antibody (1:200 dilution; goat anti-rabbit IgG; VECTASTAIN Elite ABC kit; Vector Laboratories) for 60 minutes at room temperature and AB reagent was applied based on the manufacturer's instructions (VECTASTAIN Elite ABC kit; Vector Laboratories). The antigen detection was conducted by a color reaction with 3,3'-diaminobenzidine (DAB peroxidase substrate kit; catalog number SK-4100; Vector Laboratories). Finally, the sections were counterstained with hematoxylin and mounted. Robo4 expression was assessed by staining intensity and frequency of positively stained cells. A score of 1–5 was calculated for each specimen according to the addition of the score of staining intensity (0 = none, 1 = weak, 2 = strong) and the score of percentage of myeloid cells positively stained (1 = 0~10%, 2 = 10~50%, 3>50%) by the pathologists who were blind to the results of Robo4 mRNA expression. [26-28] Erythroid cells were excluded from calculation.

Cytogenetics

BM mononuclear cells were harvested directly or after 1–3 day of unstimulated culture as described previously. [29] Metaphase chromosomes were banded by trypsin-Giemsa technique and karyotyped according to the International System for Human Cytogenetic Nomenclature.

Immunophenotype analysis

A panel of monoclonal antibodies to myeloid associated antigens, including CD13, CD33, CD11b, CD15, CD14, and CD41a, as well as lymphoid-associated antigens, including CD2, CD5, CD7, CD19, CD10, and CD20, and lineage nonspecific antigens HLA-DR, CD34, and CD56 were used to characterize the immunophenotypes of the leukemia cells as previously described. [21]

Mutation analysis

Mutation analyses of 17 relevant molecular alterations, including Class I mutations, such as FLT3/ITD and FLT3/TKD, [30] NRAS, [31] KRAS, [31] JAK2, [31] KIT [32] and PTPN11 [33] mutations and Class II mutations, such as MLL/PTD, [34] CEBPA [35] and RUNX1 [36] mutations, as well as mutations in NPM1, [37] WT1, [38] and those genes related to epigenetic modifications, such as ASXL1, [39] IDH1, [40] IDH2, [41] TET2 [42] and DNMT3A, [21] were performed as previously described. Abnormal sequencing results were confirmed by at least two repeated analyses.

Statistical analysis

Cut-off value of Robo4 expression level was determined by sequential cutting strategy and was validated by bootstrap resampling method. The discrete variables of patients with lower and higher Robo4 expression were compared using the Chi-square tests or Fisher’s exact test. We used Mann–Whitney U-test to compare continuous variables and medians of distributions. Whole patient population was included for analyses of the correlation between Robo4 expression and clinical characteristics, however, only those receiving conventional standard chemotherapy, as mentioned above, were included in analyses of survivals. OS was measured from the date of first diagnosis to death from any cause or the last follow-up, whereas relapse was defined as a reappearance of at least 5% leukemic blasts in a BM aspirate or new extramedullary leukemia in patients with a previously documented CR. Disease-free status indicated that the patient achieved CR and did not relapse by the end of this study, and disease-free survival (DFS) was defined as the time from recruitment to the first of three events: treatment failure, leukemia relapse or death from any cause. To exclude confounding influences of different treatment regimens, patients who received allogeneic HSCT were censored on the day of cell infusion. [21, 22] We adopted Kaplan–Meier estimation to plot survival curves, and used log-rank tests to examine the difference between groups. Relative risk (RR) and 95% confidence interval (CI) were estimated by Cox proportional hazards regression models to determine independent risk factors associated with survival in multivariate analyses. Two-sided P-values less than 0.05 were considered statistically significant. All statistical analyses were accomplished with the SPSS 17 (SPSS Inc., Chicago, IL, USA) and Statsdirect (Cheshire, England, UK).

Results

Correlation of BM Robo4 expression with clinical features and laboratory data in the original cohort

Robo4 expression was significantly higher in AML patients than in normal BM donors. (P = 0.0007, S1 Fig.) The patients were then divided into two groups: one with lower expression of Robo4 (n = 119) and the other with higher expression (n = 99), by using a cut-off point of 0.010 (Robo4/RPLP0). The comparison of clinical characteristics between patients with lower and higher BM Robo4 expression is shown in Table 1. Patients with higher BM Robo4 expression had lower white blood cell (WBC) and blast counts than those with lower expression. There was no difference in sex, age and initial hemoglobin levels, platelet counts and serum lactate dehydrogenase levels between the two groups of patients. Compared to patients with lower BM Robo4 expression, those with higher expression had less frequently FAB M3 subtype (P = 0.006, Table 1).
Table 1

Clinical manifestations of AML patients with higher and lower BM Robo4 expression.

VariablesTotal (n = 218)Higher Robo4 Expression (n = 99, 45.4%)Lower Robo4 Expression (n = 119, 54.6%)P value
Sex 1 0.3373
 Male12352 (42.3)71 (57.8)
 Female9547 (49.5)48 (50.5)
Age (year) 2 54.5 (15–90)55 (15–89)54 (15–90)0.4894
Lab data 2
 WBC (/μL)23275 (380–423000)17040 (650–175900)27440 (380–423000)0.0201
 Hb (g/dL)7.9 (3.3–16.2)7.5 (3.3–13.6)8.2 (3.5–16.2)0.291
 Platelet (×1,000 /μL)40.5 (2–455)46 (6–455)37 (2–277)0.2459
 Blast (/μL)10590 (0–369070)7732 (0–141879)14247 (0–369070)0.0459
 LDH (U/L)857 (271–13130)838 (298–5559)917 (271–13130)0.1824
WHO Classification 1
AML with recurrent genetic abnormalities 12151 (42.1)70 (57.9)0.3381
 AML with t(8;21)(q22;q22),RUNX1-RUNX1T11715 (88.2)2 (11.8)0.0002
 AML with inv(16)(p13q22) or t(16;16)(p13;q22), CEFB-MYH1196 (66.7)3 (33.3)0.3057
 Acute promyelocytic leukemia with t(15;17)(q22;q12), PML-RARA151 (6.7)14 (93.3)0.002
 AML with t(9;11)(p22;q23);MLLT3-MLL202 (100)0.5019
 AML with t(6;9)(p23;q34); DEK-NUP214101 (100)>0.9999
 AML with inv(3)(q21q26.2) or t(3;3)(q21;q26.2); RPN1-EVI1000-
 AML (megakaryoblastic) with t(1;22)(p13;q13); RBM15-MKL1000-
 AML with mutated NPM1 5323 (43.4)30 (56.6)0.7538
 AML with mutated CEBPA 246 (25)18 (75)0.0488
AML, not otherwise specified 9144 (48.4)47 (51.6)0.4922
 AML with minimal differentiation (M0)42 (50)2 (50)>0.9999
 AML without maturation (M1)2513 (52)12 (48)0.5265
 AML with maturation (M2)2310 (43.5)13 (56.5)>0.9999
 Acute myelomonocytic leukemia (M4)3015 (50.0)15 (50.0)0.6937
 Acute monoblastic/ acute monocytic leukemia (M5A/B)72 (28.6)5 (71.4)0.4596
 Acute erythroid leukemia (M6)22 (100)00.2051
 Acute megakaryoblastic leukemia (M7)000-
Undetermined64 (66.7)2 (33.3)0.4142
Induction response 1 , 3 1486187
 CR107 (72.3)39 (63.9)68 (78.2)0.0643
 PR4 (2.7)2 (3.3)2 (2.3)0.3035
 Refractory26 (17.6)13 (21.3)13 (14.9)0.3817
 Induction death11 (7.4)7 (11.5)4 (4.6)0.2009
Relapse 50 (33.8)20 (32.8)30 (34.5)0.5477

1number of patients (%)

2median (range)

3Only the 148 patients who received intensive chemotherapy were included.

Abbreviations: WHO, World Health Examination; CR, complete remission; PR, partial remission

1number of patients (%) 2median (range) 3Only the 148 patients who received intensive chemotherapy were included. Abbreviations: WHO, World Health Examination; CR, complete remission; PR, partial remission Higher BM Robo4 expression were positively associated with the expression of HLA-DR (P<0.0001), CD13 (P = 0.0417), CD34 (P = 0.0009) and CD56 (P = 0.039) on the leukemia cells (S1 Table). There was no difference in the expression of other antigens between the patients with higher and lower Robo4 expression.

Correlation between Robo4 RNA expression and protein expression in the original cohort

Robo4 protein expression measured by scoring IHC of BM biopsy specimens correlated with Robo4 mRNA expression in the 30 patients studied. The patients with higher scores measured by IHC had also higher Robo4 mRNA expression than those with lower scores (P = 0.018). Representative IHC of a sample with a high score and the other one with a low score are demonstrated in S2 Fig. In addition to vasculoendothelial cells, Robo4 protein staining could be clearly seen in leukemia cells in the BM with a high score. Because not every patient in this study received BM biopsy, we only did IHC in selected patients. The correlation between Robo4 expression and angiogenesis in the BM of AML patients could not be analyzed in these limited samples.

Correlation of BM Robo4 expression with karyotypes and molecular gene mutations in the original cohort

Chromosome data were available in 207 (95%) patients at diagnosis. The comparison of cytogenetic changes between patients with higher and lower BM Robo4 expression is shown in S2 Table. Higher Robo4 expression was closely associated with chromosomal abnormality t(8;21), but inversely correlated with t(15;17) (15.8% versus 1.8%, P = 0.0002 and 1.1% versus 12.5%, P = 0.0019, respectively). With regard to the AML associated genetic alterations (Table 2), higher BM Robo4 expression was closely associated with ASXL1 mutation (15.2% versus 6.7%, P = 0.0489) but negatively associated with CEBPA mutation (6.1% versus 18.5%, P = 0.0076). AML patients with higher Robo4 expression had a trend of higher probability of concurrent DNMT3A mutation and KIT mutation (P = 0.0707 and 0.0825, respectively).
Table 2

Association of BM expression level with other genetic alterations.

VariablesNo. of patients with other genetic alteration (%)P
Whole cohort (n = 218)Higher Robo4 Expression (n = 99)Lower Robo4 Expression (n = 119)
FLT3/ITD54 (24.7)20 (20.2)34 (28.6)0.1606
FLT3/TKD17 (7.8)4 (4.0)13 (10.9)0.0761
NRAS 26 (11.9)14 (14.1)12 (10.1)0.4048
KRAS 7 (3.2)4 (4.0)3 (2.5)0.7043
PTPN11 14 (6.4)6 (6.1)8 (6.7)>0.9999
KIT 9 (4.1)7 (7.1)2 (1.7)0.0825
JAK2 1 (0.5)1 (1.0)00.4541
WTI 12 (5.5)6 (6.1)6 (5.0)0.7733
NPM1 53 (24.3)23 (23.2)30 (25.2)0.7538
CEBPA 28 (12.8)6 (6.1)22 (18.5)0.0076
RUNX1 29 (13.3)14 (14.1)15 (12.6)0.8418
MLL/PTD13 (6.0)5 (5.1)8 (6.7)0.7758
ASXL1 23 (10.6)15 (15.2)8 (6.7)0.0489
IDH1 13 (6.0)5 (5.1)8 (6.7)0.7758
IDH2 31 (14.2)18 (18.2)13 (10.9)0.1722
TET2 33 (15.1)16 (16.2)17 (14.3)0.7089
DNMT3A 37 (17.0)22 (22.2)15 (12.6)0.0707

Impact of BM Robo4 expression on clinical outcome in the original cohort

Of the 148 AML patients receiving conventional intensive induction chemotherapy, 107 (72.3%) patients achieved a CR (Table 1). The patients with higher Robo4 expression had a trend of a lower CR rate than those with lower Robo4 expression, albeit the difference was not statistically significant (63.9% versus 78.2%, P = 0.0643). Similar trend was also found in the subgroup of 99 patients with intermediate-risk cytogenetics (CR rate, 59.5% versus 75.8%, P = 0.114) (S3 Table). With a median follow-up of 37.2 months (ranges, 1.0–160), patients with higher Robo4 expression had significantly poorer OS (Fig. 1) and DFS (Fig. 2) than those with lower Robo4 expression (median, 17.0 months versus 95.0 months, P = 0.023, and medium, 5.0 months versus 15.0 months, P = 0.024, respectively). In the subgroup of patients with intermediate-risk cytogenetics, the differences between the two groups in OS (S3 Fig.) (median, 13.5 months versus 95.0 months, P = 0.007) and DFS (S4 Fig.) (median, 4.0 months versus 10.0 months, P = 0.025) were even bigger.
Fig 1

Kaplan–Meier survival curves for overall survival stratified by BM Robo4 mRNA expression in the original cohort.

Among a total of 148 patients with AML who received conventional intensive chemotherapy, patients with higher Robo4 expression had shorter overall than those with lower Robo4 expression.

Fig 2

Kaplan–Meier survival curves for disease-free survival stratified by BM Robo4 mRNA expression in the original cohort.

Among a total of 148 patients with AML who received conventional intensive chemotherapy, patients with higher Robo4 expression had shorter OS (A) and DFS (B) than those with lower Robo4 expression.

Kaplan–Meier survival curves for overall survival stratified by BM Robo4 mRNA expression in the original cohort.

Among a total of 148 patients with AML who received conventional intensive chemotherapy, patients with higher Robo4 expression had shorter overall than those with lower Robo4 expression.

Kaplan–Meier survival curves for disease-free survival stratified by BM Robo4 mRNA expression in the original cohort.

Among a total of 148 patients with AML who received conventional intensive chemotherapy, patients with higher Robo4 expression had shorter OS (A) and DFS (B) than those with lower Robo4 expression. In multivariate analysis (Table 3), the independent poor risk factors for OS were older age > 50 years, higher WBC count >50,000/μL, unfavorable karyotype, and higher Robo4 expression (RR 1.779, 95% CI 1.005–3.149, P = 0.048). On the other hand, CEBPA double-mutation and NPM1 +/FLT3-ITD- (mutant NPM1 in the absence of FLT3-ITD) were independent favorable prognostic factors. The independent poor risk factors for DFS included older age > 50 years, higher WBC count >50,000/μL, unfavorable karyotype, and higher Robo4 expression (RR 1.600, 95% CI 1.026–2.495, P = 0.038). CEBPA double-mutation and NPM1 +/FLT3-ITD- were independent favourable factors for DFS.
Table 3

Multivariate Analysis (Cox regression) on the Disease-free Survival and Overall Survival.

VariablesDisease-free SurvivalOverall Survival
95% CI95% CI
RRLowerUpperP valueRRLowerUpperP value
Age 1 1.981.2863.0480.0023.4971.9826.170.001
WBC 2 1.5811.0112.470.0441.8621.0693.2420.028
Karyotype 3 4.1752.6346.62<0.0013.0781.7265.4890.001
NPM1/FLT3-ITD 4 0.2460.110.5540.0010.3980.1660.9550.039
CEBPA double mutation 0.4010.1870.8580.0190.1660.0390.6990.014
Robo4 5 1.61.0262.4950.0381.7791.0053.1490.048

Abbreviation: RR, relative risk; CI, confidence interval

1 Age > 50 relative to Age ≤50 (the reference)

2WBC greater than 50,000/μL versus less than 50,000/μL

3unfavorable cytogenetics versus others

NPM1 + /FLT3-ITD- versus other subtypes

Higher Robo4 expression versus lower Robo4 expression

Abbreviation: RR, relative risk; CI, confidence interval 1 Age > 50 relative to Age ≤50 (the reference) 2WBC greater than 50,000/μL versus less than 50,000/μL 3unfavorable cytogenetics versus others NPM1 + /FLT3-ITD- versus other subtypes Higher Robo4 expression versus lower Robo4 expression

The prognostic impact of BM Robo4 expression in the validation cohort

The cut-off point in the original cohort was used to define lower- and higher-expression groups in the validation cohort (n = 53). After a median follow-up time of 39.2 months (range 0.7 to 51.3), higher BM Robo4 expression remained to be a significant unfavorable prognostic factor for OS in total patients (Fig. 3) and those with intermediate-risk cytogenetics in the validation cohort (Fig. 4) (median 13.4 months versus not reached, P = 0.014; median 14.2 months versus not reached, P = 0.017, respectively).
Fig 3

Kaplan-Meier survival curves for overall survival stratified by BM Robo4 mRNA expression in the validation cohort.

The patients with higher BM Robo4 expression had a shorter OS than those with lower expression both among a total of 53 patients. The median value of BM Robo4 expression in the original cohort of 148 patients was used as the cutoff point to define lower- and higher-expression groups.

Fig 4

Kaplan-Meier survival curves for overall survival stratified by BM Robo4 mRNA expression in the validation cohort.

The patients with higher BM Robo4 expression had a shorter OS than those with lower expression both among 25 patients with intermediate-risk cytogenetics. The median value of BM Robo4 expression in the original cohort of 148 patients was used as the cutoff point to define lower- and higher-expression groups.

Kaplan-Meier survival curves for overall survival stratified by BM Robo4 mRNA expression in the validation cohort.

The patients with higher BM Robo4 expression had a shorter OS than those with lower expression both among a total of 53 patients. The median value of BM Robo4 expression in the original cohort of 148 patients was used as the cutoff point to define lower- and higher-expression groups. The patients with higher BM Robo4 expression had a shorter OS than those with lower expression both among 25 patients with intermediate-risk cytogenetics. The median value of BM Robo4 expression in the original cohort of 148 patients was used as the cutoff point to define lower- and higher-expression groups.

Discussion

Robo4, a receptor for Slit2, is highly expressed in solid tumors, including brain, lung, urinary bladder and colorectal cancers and its expression is restricted to tumor vasculature but down-regulated in mature vasculature. [3, 43, 44] Interestingly, up-regulation of Robo4 was noticed in cancerous tissues but not in corresponding noncancerous part using paired samples in 50 patients with colorectal cancers. [43] Robo4 is thus an excellent tumor endothelial markers and a potential target for anti-angiogenesis therapy. [11,45] There have been few studies concerning the clinical relevance of Robo4 expression in cancers. Gorn et al demonstrated that elevated serum levels of Robo4 before treatment predicted poor prognosis in patients with non-small cell lung cancer, but it did not reach statistical significance in a univariate Cox regression model. [44] To the best of our knowledge, the current study was the first to evaluate Robo4 expression and its clinical implications in AML patients. We demonstrated that Robo4 expression was significantly elevated in AML patients compared to normal controls. Furthermore, higher BM Robo4 expression predicted poorer DFS and OS in AML patients, especially those with intermediate-risk cytogenetics. The prognostic impact of higher BM Robo4 expression was further validated in an independent validation cohort. Robo4, in cooperation with CXCR4, plays a role in BM homing and mobilization of HSPCs. [7,13] It acts as an HSPC-specific adhesion receptor to localize HSPC to BM niches and its expression is dramatically down-regulated in mobilized HSPCs. [7] It has been shown that mobilization of AML cells by CXCR4 antagonist could enhance chemosensitivity of AML, which is translated into significant survival advantage. [46] Compatible with this finding, AML patients with lower Robo4 expression in the present study were more sensitive to induction chemotherapy and had a trend of higher CR rates. In the comprehensive analyses of the 17 genetic alterations and cytogenetic changes in the original cohort, we found that higher BM Robo4 expression was closely associated with ASXL1 mutation and t(8;21), but negatively associated with CEBPA mutation and t(15;17). The translocation t(8;21) is a frequent cytogenetic abnormality in AML; however, the presence of the resultant RUNX1-RUNXT1 fusion protein alone is not sufficient per se to induce leukemia. [47] In the present study, 15 of the 17 patients with t(8;21) showed higher Robo4 expression (S2 Table). The higher Robo4 expression, which may lead to dysregulation of angiogenesis or microenvironment, may be another hit in patients with this chromosomal abnormality. The significance of close association of higher Robo4 expression and ASXL1 mutation in the pathogenesis of AML needs further exploration.

Conclusions

In conclusion, the present study provides evidences that higher BM Robo4 expression is closely associated with distinct clinical and biologic characteristics in AML patients. Further, higher BM Robo4 expression is an independent poor prognostic factor for OS. The unfavorable prognostic impact of higher BM Robo4 expression was also validated in an independent validation cohort. Higher BM Robo4 expression may serve as a new biomarker for foreseeing the clinical outcome of AML patients and may be a potential target for the treatment of AML patients with higher expression of this protein.

Comparison of BM Robo4 expressions between AML patients in the original cohort and normal controls.

The level was calculated as the log value of Robo4 mRNA expression normalized to the housekeeping gene RPLP0. The P value was calculated using the Mann-Whitney U test. (DOCX) Click here for additional data file.

Representative immunohistochemical staining of Robo4 protein in BM biopsy specimens from two patients.

One specimen from a patient with higher BM Robo4 mRNA expression showed strong staining of leukemic cells (A & B) and another one from a patient with lower BM Robo4 mRNA expression showed weak staining (C & D). (Magnification 100X and 400X, respectively) (DOCX) Click here for additional data file.

Kaplan–Meier survival curves for overall survival of AML patients with intermediate-risk cytogenetics stratified by BM Robo4 mRNA expression in the original cohort.

Among a total of 99 patients with intermediate-risk cytogenetics who received conventional intensive chemotherapy, patients with higher Robo4 expression had shorter overall survival than those with lower expression. (DOCX) Click here for additional data file.

Kaplan–Meier survival curves for disease-free survival of AML patients with intermediate-risk cytogenetics stratified by BM Robo4 mRNA expression in the original cohort.

Among a total of 99 patients with intermediate-risk cytogenetics who received conventional intensive chemotherapy, patients with higher Robo4 expression had shorter disease-free survival than those with lower expression. (DOCX) Click here for additional data file.

Comparison of immune-phenotypes of leukemia cells between AML patients with higher and lower BM Robo4 expression.

(DOCX) Click here for additional data file.

Association of Robo4 expression level with cytogenetic abnormalities*.

(DOCX) Click here for additional data file.

Comparison of clinical manifestations between patients with higher and lower BM Robo4 expression in AML patients with intermediate cytogenetics.

(DOCX) Click here for additional data file.

Clinical characteristics of validation cohort.

(DOCX) Click here for additional data file.
  47 in total

1.  Changes in magnetic resonance bone marrow angiogenesis on day 7 after induction chemotherapy can predict outcome of acute myeloid leukemia.

Authors:  Hsin-An Hou; Tiffany Ting-Fang Shih; Chieh-Yu Liu; Bang-Bin Chen; Jih-Luh Tang; Ming Yao; Shang-Yi Huang; Wen-Chien Chou; Chao-Yu Hsu; Hwei-Fang Tien
Journal:  Haematologica       Date:  2010-03-10       Impact factor: 9.941

2.  roundabout4 is essential for angiogenesis in vivo.

Authors:  Victoria M Bedell; Sang-Yeob Yeo; Kye Won Park; Jeffrey Chung; Pankaj Seth; Venkatesha Shivalingappa; Jinhua Zhao; Tomoko Obara; Vikas P Sukhatme; Iain A Drummond; Dean Y Li; Ramani Ramchandran
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-22       Impact factor: 11.205

3.  Bone marrow angiogenesis magnetic resonance imaging in patients with acute myeloid leukemia: peak enhancement ratio is an independent predictor for overall survival.

Authors:  Tiffany Ting-Fang Shih; Hsin-An Hou; Chieh-Yu Liu; Bang-Bin Chen; Jih-Luh Tang; Hsuan-Yu Chen; Shwu-Yuan Wei; Ming Yao; Shang-Yi Huang; Wen-Chien Chou; Szu-Chun Hsu; Woei Tsay; Chih-Wei Yu; Chao-Yu Hsu; Hwei-Fang Tien; Pan-Chyr Yang
Journal:  Blood       Date:  2008-11-06       Impact factor: 22.113

4.  Chemosensitization of acute myeloid leukemia (AML) following mobilization by the CXCR4 antagonist AMD3100.

Authors:  Bruno Nervi; Pablo Ramirez; Michael P Rettig; Geoffrey L Uy; Matthew S Holt; Julie K Ritchey; Julie L Prior; David Piwnica-Worms; Gary Bridger; Timothy J Ley; John F DiPersio
Journal:  Blood       Date:  2008-12-02       Impact factor: 22.113

5.  A prognostic model for survival in chronic lymphocytic leukaemia based on p53 expression.

Authors:  Francis J Giles; B Nebiyou Bekele; Susan O'Brien; Jorge E Cortes; Srdan Verstovsek; Maria Balerdi; Marwan Yared; Xian Zhou; Hagop M Kantarjian; Michael J Keating; Peter Thall; Maher Albitar
Journal:  Br J Haematol       Date:  2003-05       Impact factor: 6.998

6.  RUNX1 gene mutation in primary myelodysplastic syndrome--the mutation can be detected early at diagnosis or acquired during disease progression and is associated with poor outcome.

Authors:  Chien-Yuan Chen; Liang-In Lin; Jih-Luh Tang; Bo-Sheng Ko; Woei Tsay; Wen-Chien Chou; Ming Yao; Shang-Ju Wu; Mei-Hsuan Tseng; Hwei-Fang Tien
Journal:  Br J Haematol       Date:  2007-11       Impact factor: 6.998

7.  Robo4 is an effective tumor endothelial marker for antibody-drug conjugates based on the rapid isolation of the anti-Robo4 cell-internalizing antibody.

Authors:  Mai Yoshikawa; Yohei Mukai; Yoshiaki Okada; Yuki Tsumori; Shin-ichi Tsunoda; Yasuo Tsutsumi; William C Aird; Yasuo Yoshioka; Naoki Okada; Takefumi Doi; Shinsaku Nakagawa
Journal:  Blood       Date:  2013-01-30       Impact factor: 22.113

8.  Bone marrow adherent layers inhibit apoptosis of acute myeloid leukemia cells.

Authors:  L J Bendall; A Daniel; K Kortlepel; D J Gottlieb
Journal:  Exp Hematol       Date:  1994-12       Impact factor: 3.084

9.  A 'telomere-associated secretory phenotype' cooperates with BCR-ABL to drive malignant proliferation of leukemic cells.

Authors:  M Braig; N Pällmann; M Preukschas; D Steinemann; W Hofmann; A Gompf; T Streichert; T Braunschweig; M Copland; K L Rudolph; C Bokemeyer; S Koschmieder; A Schuppert; S Balabanov; T H Brümmendorf
Journal:  Leukemia       Date:  2014-03-07       Impact factor: 11.528

10.  Robo4 plays a role in bone marrow homing and mobilization, but is not essential in the long-term repopulating capacity of hematopoietic stem cells.

Authors:  Yuko Goto-Koshino; Yumi Fukuchi; Fumi Shibata; Daichi Abe; Kana Kuroda; Shinichiro Okamoto; Toshio Kitamura; Hideaki Nakajima
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

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  3 in total

1.  Delineation of target expression profiles in CD34+/CD38- and CD34+/CD38+ stem and progenitor cells in AML and CML.

Authors:  Harald Herrmann; Irina Sadovnik; Gregor Eisenwort; Thomas Rülicke; Katharina Blatt; Susanne Herndlhofer; Michael Willmann; Gabriele Stefanzl; Sigrid Baumgartner; Georg Greiner; Axel Schulenburg; Niklas Mueller; Werner Rabitsch; Martin Bilban; Gregor Hoermann; Berthold Streubel; Daniel A Vallera; Wolfgang R Sperr; Peter Valent
Journal:  Blood Adv       Date:  2020-10-27

Review 2.  Regulatory mechanisms of Robo4 and their effects on angiogenesis.

Authors:  Chang Dai; Qiaoyun Gong; Yan Cheng; Guanfang Su
Journal:  Biosci Rep       Date:  2019-07-10       Impact factor: 3.840

3.  Biomarkers of evasive resistance predict disease progression in cancer patients treated with antiangiogenic therapies.

Authors:  Andreas Pircher; Karin Jöhrer; Florian Kocher; Normann Steiner; Ivo Graziadei; Isabel Heidegger; Renate Pichler; Nicolai Leonhartsberger; Christian Kremser; Johann Kern; Gerold Untergasser; Eberhard Gunsilius; Wolfgang Hilbe
Journal:  Oncotarget       Date:  2016-04-12
  3 in total

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