Literature DB >> 24206578

Expression of CD56 is an unfavorable prognostic factor for acute promyelocytic leukemia with higher initial white blood cell counts.

Takaaki Ono1, Akihiro Takeshita, Yuji Kishimoto, Hitoshi Kiyoi, Masaya Okada, Takahiro Yamauchi, Nobuhiko Emi, Kentaro Horikawa, Mitsuhiro Matsuda, Katsuji Shinagawa, Fumihiko Monma, Shigeki Ohtake, Chiaki Nakaseko, Masatomo Takahashi, Yukihiko Kimura, Masako Iwanaga, Norio Asou, Tomoki Naoe.   

Abstract

Expression of CD56 has recently been introduced as one of the adverse prognostic factors in acute promyelocytic leukemia (APL). However, the clinical significance of CD56 antigen in APL has not been well elucidated. We assessed the clinical significance of CD56 antigen in 239 APL patients prospectively treated with all-trans retinoic acid and chemotherapy according to the Japan Adult Leukemia Study Group APL97 protocol. All patients were prospectively treated by the Japan Adult Leukemia Study Group APL97 protocol. The median follow-up period was 8.5 years. Positive CD56 expression was found in 23 APL patients (9.6%). Expression of CD56 was significantly associated with lower platelet count (P = 0.04), severe disseminated intravascular coagulation (P = 0.04), and coexpression of CD2 (P = 0.03), CD7 (P = 0.04), CD34 (P < 0.01) and/or human leukocyte antigen-DR (P < 0.01). Complete remission rate and overall survival were not different between the two groups. However, cumulative incidence of relapse and event-free survival (EFS) showed an inferior trend in CD56(+) APL (P = 0.08 and P = 0.08, respectively). Among patients with initial white blood cell counts of 3.0 × 10(9)/L or more, EFS and cumulative incidence of relapse in CD56(+) APL were significantly worse (30.8% vs 63.6%, P = 0.008, and 53.8% vs 28.9%, P = 0.03, respectively), and in multivariate analysis, CD56 expression was an unfavorable prognostic factor for EFS (P = 0.04). In conclusion, for APL with higher initial white blood cell counts, CD56 expression should be regarded as an unfavorable prognostic factor.
© 2013 The Authors. Cancer Science published by Wiley Publishing Asia Pty Ltd on behalf of Japanese Cancer Association.

Entities:  

Keywords:  Acute promyelocytic leukemia; CD56 expression; all‐trans retinoic acid; chemotherapy; prognostic factor

Mesh:

Substances:

Year:  2014        PMID: 24206578      PMCID: PMC4317869          DOI: 10.1111/cas.12319

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


The clinical introduction of ATRA has dramatically improved the outcome of APL.1–6 However, 13–33% of patients with APL still relapse after the first remission.6 Therefore, various prognostic factors predicting outcome are being continuously analyzed, and initial high WBC count, low platelet count, and older age have been recognized as significant factors.3,5–8 Recently, several investigators have suggested that the expression of CD56 antigen, a neural adhesion factor, is associated with higher incidence of relapse and poorer outcome in APL.9–12 However, the number of reported cases and follow-up periods are still limited, and there has been no recommendation so far to modify standard treatment of APL on the basis of CD56 expression.13,14 We analyzed the long-term outcome of 239 APL patients who were prospectively treated with ATRA combined with chemotherapies, including anthracycline and Ara-C, in the JALSG APL97 study, and assessed the clinical significance of CD56 expression in APL.

Materials and Methods

Patients

Adult patients with previously untreated APL were consecutively registered to the JALSG APL97 study between May 1997 and June 2002.15 Eligibility criteria were: (i) diagnosis of APL with t(15,17) and/or the PML-RARA fusion gene amplified by RT-PCR; (ii) age between 15 and 70 years; (iii) ECOG PS 0 to 3; and (iv) sufficient functioning of the heart, lung, liver, and kidney. This study was approved by the institutional review boards of each participating institution, and registered with the UMIN Clinical Trials Registry (http://www.umin.ac.jp/ctrj/) under trial number C000000206. Informed consent was obtained from each patient before registration to the study in accordance with the Declaration of Helsinki.

Study design and treatments

The detail of treatment schedule was as described previously.15 Remission induction therapy consisted of ATRA and chemotherapy with idarubicin and Ara-C, with dose and duration determined by initial WBC counts. After obtaining CR and receiving three courses of intensive consolidation chemotherapy including anthracyclines, Ara-C, and etoposide, patients negative for the PML-RARA fusion transcript were randomly allocated either to receive six courses of intensified maintenance chemotherapy or to observation. Patients who were positive for the PML-RARA fusion transcript received late ATRA therapy followed by maintenance therapy, and were scheduled to receive allogeneic hematopoietic stem cell transplantation, if they had a human leukocyte antigen-identical donor. Risk stratification according to initial WBC counts (<3.0 × 109/L; 3.0 × 109/L to less than 10.0 × 109/L; ≥10.0 × 109/L) used in the current JALSG APL study are based on the results of the JALSG APL92 study.3 In consideration of this background and the number of cases in each group, we adopted the value and divided the patients into two groups (i.e., initial WBC counts <3.0 × 109 and ≥3.0 × 109) to analyze the prognostic impact of CD56 expression.

Immunophenotypic analysis

Immunophenotypic analysis was carried out using bone marrow samples taken at diagnosis and analyzed in the reference laboratory by standard immunofluorescence methods. Cells were stained with anti-CD45 (mAb), gated by CD45 expression and analyzed by flow cytometer. Cells were additionally stained with fluorescein-conjugated mAb against CD2, CD5, CD7, CD4, CD8, CD19, CD20, CD11b, CD13, CD14, CD15, CD33, CD34, CD56, and HLA-DR surface antigens. According to the criteria defined by the European Group for the Immunological Characterization of Leukemias,16 surface markers were defined as positive if more than 20% of APL cells expressed a specific antigen.

Definition and evaluation of patients

Hematological response was evaluated by standard criteria.17 Molecular relapse detected by RT-PCR analysis of PML-RARA was also considered as a relapse. Overall survival was calculated from the first day of therapy to death or last visit. Event-free survival was determined from the first day of therapy to relapse, death from any cause, or last visit. Cumulative incidence of relapse (extramedullary relapse) was measured from the date of CR to the first relapse, whereas non-relapse mortality was censored as a competing risk event.

Statistical analysis

Categorical data were compared using the χ2-test or Fisher's exact test. Continuous data were compared using Wilcoxon's rank-sum test. The OS and EFS were estimated by Kaplan–Meier methods and compared by the log–rank test. The CIR was analyzed according to Kalbfleisch and Prentice, and differences were compared using Gray statistics. Cox's proportional hazards model was used for multivariate analysis of EFS. Factors significant at the 0.2 level in the univariate analysis were included in the multivariate analysis model. Statistical analyses were carried out using spss version 11.0 (SPSS Inc., Chicago, IL, USA) and R 2.12.1 (R Foundation for Statistical Computing, Vienna, Austria; available at http://www.r-project.org/). All hypothesis testing was two-tailed with a significance level of 0.05.

Results

Patient characteristics

Among 283 evaluable patients of 302 registered to the JALSG APL97 study,15 239 (85%) (median age, 48 years; range, 15–70 years) had satisfactory data for CD56 surface antigen expression, and were evaluated in this study. The median follow-up period was 8.5 years (0–12.2 years). Of 239 patients, 23 (9.6%) were positive for CD56. The clinical and biological characteristics according to CD56 expression are shown in Tables1 and 2. Expression of CD56 was significantly associated with lower platelet count (<10 × 109/L) and severe DIC (P = 0.04 and P = 0.04, respectively); CD56+ APL significantly coexpressed CD2, CD7, CD34, and/or HLA-DR antigen. (P = 0.03, P = 0.04, P < 0.001, and P < 0.001, respectively).
Table 1

Clinical features of acute promyelocytic leukemia (APL) patients according to CD56 expression (n = 239)

Clinical featuresCD56-positive
CD56-negtive
P-value
No. of patients (%)Median (range)No. of patients (%)Median (range)
All patients
No. of patients23216
Age, years48 (16–66)47 (15–70)0.84
15–5920 (87)181 (84)0.69
60–653 (13)35 (16)
Sex
Male9 (39)127 (59)0.07
Female14 (61)89 (41)
Initial WBC counts, ×109/L2.1 (0.04–98)1.7 (0.01–257)0.47
<3.012 (52)129 (60)0.78
3.0 to <10.06 (26)46 (21)
≥10.05 (22)41 (19)
Initial APL cell counts, ×109/L1.8 (0–92)0.6 (0–253)0.53
Initial platelet counts, ×109/L15 (6–120)30 (2–238)0.04
<105 (22)28 (13)0.30
10 to <4013 (56)111 (51)
≥405 (22)77 (36)
ECOG performance status score
0–219 (83)202 (94)0.05
34 (17)13 (6)
Albumin level, g/dL4.2 (3.3–6.1)4.2 (2.3–6.0)0.51
<3.52 (9)18 (9)0.96
≥3.520 (91)188 (91)
Fibrinogen level, mg/dL105 (55–389)139 (20–513)0.46
FDP ratio16.1 (4.0–322.4)11.6 (0.3–524)0.09
DIC score
0–20 (0)18 (9)0.04
3–917 (77)166 (82)
≥105 (23)18 (9)
FAB subtype
Typical23 (100)201 (93)0.32
Variant0 (0)15 (7)
ACAs8 (42)64 (35)0.56
Patients with intial WBC counts ≥3.0 × 109/L
No. of patients1187
Age, years41 (21–66)45 (19–58)0.87
15–5910 (91)73 (84)0.54
60–651 (9)14 (16)
Sex
Male7 (64)52 (60)0.81
Female4 (36)35 (40)
Initial WBC counts, ×109/L6.3 (3.2–98)8.9 (3.0–257)0.62
≥10.05 (45)41 (47)0.92
Initial APL cell counts, ×109/L4.8 (0–92)7.0 (0.2–253)0.37
Initial platelet counts, ×109/L14 (6–54)23 (2–92)0.38
<103 (30)16 (18)0.78
10 to <405 (40)46 (53)
≥403 (30)25 (29)
ECOG performance status score
0–20 (0)77 (90)0.45
311 (100)9 (10)
Albumin level, g/dL4.3 (3.5–4.7)4.2 (2.6–5.8)0.86
<3.52 (9)8 (10)0.29
≥3.520 (91)76 (90)
Fibrinogen level, mg/dL104 (56–389)104 (21–438)0.84
FDP ratio26.7 (4.4–280)14.1 (0.3–303)0.24
DIC score
0–20 (0)3 (4)0.02
3–97 (64)75 (88)
≥104 (36)7 (8)
FAB subtype
Typical11 (100)74 (85)0.17
Variant0 (0)13 (15)
ACAs2 (25)22 (30)0.76

Fibrinogen degradation product (FDP) ratio calculated by dividing the FDP value by its upper normal limit.

Disseminated intravascular coagulation (DIC) score:(18) 0–2 indicates improbable DIC; score 3, suspected DIC; score 4–9, definitive DIC; ≥10, severe DIC. ACAs, additional chromosomal abnormalities; APL, Acute promyelocytic leukemia; ECOG, Eastern Cooperative Oncology Group; FAB, French–American–British; FDP, fibrin degradation product; WBC, white blood cell.

Table 2

Immunophenotypic features of acute promyelocytic leukemia patients (n = 239) according to CD56 expression

ParametersCD56-positiveCD56-negativeP-value
No. of patients (%)No. of patients (%)
CD2
 Positive5 (22)16 (8)0.03
 Negative18 (78)191 (92)
CD5
 Positive1 (5)3 (2)0.25
 Negative18 (95)195 (98)
CD7
 Positive2 (9)4 (2)0.04
 Negative20 (91)208 (98)
CD19
 Positive1 (4)5 (2)0.56
 Negative22 (96)210 (98)
CD20
 Positive0 (0)1 (0.5)0.75
 Negative19 (100)191 (99.5)
CD11b
 Positive3 (19)11 (7)0.08
 Negative13 (81)157 (93)
CD15
 Positive7 (54)50 (33)0.12
 Negative6 (46)103 (67)
CD41a
 Positive1 (5)19 (10)0.46
 Negative20 (95)177 (90)
CD34
 Positive9 (41)27 (13)P < 0.01
 Negative13 (59)185 (87)
HLA-DR
 Positive7 (30)16 (8)P < 0.01
 Negative16 (70)197 (92)

HLA, human leukocyte antigen.

Clinical features of acute promyelocytic leukemia (APL) patients according to CD56 expression (n = 239) Fibrinogen degradation product (FDP) ratio calculated by dividing the FDP value by its upper normal limit. Disseminated intravascular coagulation (DIC) score:(18) 0–2 indicates improbable DIC; score 3, suspected DIC; score 4–9, definitive DIC; ≥10, severe DIC. ACAs, additional chromosomal abnormalities; APL, Acute promyelocytic leukemia; ECOG, Eastern Cooperative Oncology Group; FAB, French–American–British; FDP, fibrin degradation product; WBC, white blood cell. Immunophenotypic features of acute promyelocytic leukemia patients (n = 239) according to CD56 expression HLA, human leukocyte antigen.

Treatment outcome

The CR rate and incidence of early death during induction therapy were not different between CD56+ and CD56− APL (91% vs 95%, P = 0.4, and 9% vs 5%, P = 0.54, respectively; Table3). Primary resistance to induction therapy was not observed in either group. The incidence of differentiation syndrome was not different between the two groups (22% vs 21%, P = 0.9; Table3).
Table 3

Clinical outcomes of acute promyelocytic leukemia patients according to CD56 expression (n = 239)

Clinical featuresCD56-positive
CD56-negative
P-value
No. of patients (%)No. of patients (%)
No. of patients23216
Induction outcome
 CR rate21 (91)206 (95)0.40
 Differentiation syndrome5 (22)44 (21)0.90
Induction death2 (9)10 (5)0.54
 Hemorrhage2 (100)6 (60)0.13
 Infection0 (0)1 (10)0.74
 Differentiation syndrome0 (0)2 (20)0.64
 Others0 (0)1 (10)0.74
Postremission outcome
No. of patients21206
Relapse
  All patients9 (43)49 (24)0.06
  Intial WBC counts <3.03 (14)27 (13)0.88
  Initial WBC counts ≥3.06 (29)22 (11)0.02
 Extramedullary relapse
  All patients1 (5)3 (1.5)0.27
  Intial WBC counts <3.00 (0)2 (1.0)0.65
  Initial WBC counts ≥3.01 (5)1 (0.5)0.05
 CIR (%)
  All patients39.124.30.08
  Intial WBC counts <3.020.020.10.98
  Initial WBC counts ≥3.053.828.90.03
 CIR (extramedullary relapse) (%)
  All patients5.01.50.27
  Intial WBC counts <3.00.01.80.69
  Initial WBC counts ≥3.09.31.10.07

CIR, cumulative incidence of relapse; CR, complete remission; WBC, white blood cell.

Clinical outcomes of acute promyelocytic leukemia patients according to CD56 expression (n = 239) CIR, cumulative incidence of relapse; CR, complete remission; WBC, white blood cell. Overall survival was not different between the two groups (73.9% vs 79.2%, P = 0.52, at 9 years; Fig.1a), whereas EFS and CIR tended to be inferior in CD56+ APL (47.8% vs 64.8%, P = 0.08, and 39.1% vs 24.3%, P = 0.08, at 9 years, respectively; Figs2a,3a). In patients with initial WBC counts ≥3.0 × 109/L, EFS and CIR for 11 CD56+APL patients were significantly inferior to those for 87 CD56− APL patients (30.8% vs 63.6%, P = 0.008, and 53.8% vs 28.9%, P = 0.03, at 9 years, respectively; Figs2b,3b). In patients with initial WBC counts <3.0 × 109/L, EFS and CIR were not different between the two groups (P = 0.99 and P = 0.98, at 9 years, respectively). The OS in patients with initial WBC counts ≥3.0 × 109/L was similar between the two groups (61.5% vs 78.8%, P = 0.13, at 9 years; Fig.1b). Although the number was small, EFS and CIR for five CD56+ APL patients among those with initial WBC counts of ≥10 × 109/L were inferior to those for 41 CD56− APL patients (20.0% vs 60.9%, P = 0.03, and 60.0% vs 30.7%, P = 0.09, at 9 years, respectively). Cumulative incidence of extramedullary relapse tended to be more frequent in patients with CD56+ APL whose initial WBC counts were ≥3.0 × 109/L (9.3% vs 1.1%, at 9 years, P = 0.07). We also analyzed the influence of CD56 expression on clinical outcomes according to Sanz's relapse risk score.7 Both CIR and EFS in patients with CD56+ APL were inferior in the high risk group (60.0% vs 31.4%, P = 0.09 and 20.0% vs 62.5%, P = 0.02, respectively), but not in low and intermediate risk groups (P = 0.17 and P = 0.55, respectively).
Figure 1

Overall survival (OS) of patients with acute promylocytic leukemia according to CD56 expression. (a) OS was not different between the two groups for all patients (73.9% vs 79.2% at 9 years, P = 0.52). (b) In patients whose white blood cell (WBC) count was ≥3.0 × 109/L, OS did not differ between the two groups (61.5% vs 78.8%, P = 0.13).

Figure 2

Event-free survival (EFS) of patients with acute promylocytic leukemia (APL) according to CD56 expression. (a) EFS for all patients showed an inferior trend in CD56+ APL (47.8% vs 64.8% at 9 years, P = 0.08). (b) In patients whose white blood cell (WBC) count was ≥3.0 × 109/L, EFS for CD56+ APL was significantly inferior to that for CD56− APL (30.8% vs 63.8%, P = 0.008).

Figure 3

Cumulative incidence of relapse (CIR) of patients with acute promylocytic leukemia (APL) according to CD56 expression. (a) CIR for all patients showed an inferior trend in the CD56+ APL group (39.1% vs 24.3% at 9 years, P = 0.08). (b) In patients whose white blood cell (WBC) count was ≥3.0 × 109/L, CIR for the CD56+ group was significantly higher compared to that for the CD56− APL group (53.8% vs 28.9%, P = 0.03).

Overall survival (OS) of patients with acute promylocytic leukemia according to CD56 expression. (a) OS was not different between the two groups for all patients (73.9% vs 79.2% at 9 years, P = 0.52). (b) In patients whose white blood cell (WBC) count was ≥3.0 × 109/L, OS did not differ between the two groups (61.5% vs 78.8%, P = 0.13). Event-free survival (EFS) of patients with acute promylocytic leukemia (APL) according to CD56 expression. (a) EFS for all patients showed an inferior trend in CD56+ APL (47.8% vs 64.8% at 9 years, P = 0.08). (b) In patients whose white blood cell (WBC) count was ≥3.0 × 109/L, EFS for CD56+ APL was significantly inferior to that for CD56− APL (30.8% vs 63.8%, P = 0.008). Cumulative incidence of relapse (CIR) of patients with acute promylocytic leukemia (APL) according to CD56 expression. (a) CIR for all patients showed an inferior trend in the CD56+ APL group (39.1% vs 24.3% at 9 years, P = 0.08). (b) In patients whose white blood cell (WBC) count was ≥3.0 × 109/L, CIR for the CD56+ group was significantly higher compared to that for the CD56− APL group (53.8% vs 28.9%, P = 0.03). In the multivariate analysis, CD56 expression was an independent adverse prognostic factor for EFS in patients whose initial WBC counts were ≥3.0 × 109/L (hazard ratio = 2.54; 95% confidence interval, 1.07–6.06, P = 0.04) (Table4).
Table 4

Prognostic factors affecting event-free survival of acute promyelocytic leukemia patients (initial white blood cell counts ≥3.0 × 109/L) (n = 239)

Factors for event-free survivalUnivariate analysis
Multivariate analysis
P-valueHazard ratio95% CIP-value
DIC score >10 (vs DIC score ≤10)0.171.060.90–1.240.48
Age >60 years (vs age ≤60 years)0.042.000.86–4.650.11
HLA-DR antigen positive (vs negative)0.021.460.49–4.330.49
CD56 antigen positive (vs negative)0.0082.541.07–6.060.04

Disseminated intravascular coagulation (DIC) score:(18) 0–2 indicates improbable DIC; score 3, suspected DIC; score 4–9, definitive DIC; ≥10, severe DIC. Factors with P-value <0.20 in univariate analysis were included in the multivariate analysis. CI, confidence interval; HLA, human leukocyte antigen; HR, hazard ratio.

Prognostic factors affecting event-free survival of acute promyelocytic leukemia patients (initial white blood cell counts ≥3.0 × 109/L) (n = 239) Disseminated intravascular coagulation (DIC) score:(18) 0–2 indicates improbable DIC; score 3, suspected DIC; score 4–9, definitive DIC; ≥10, severe DIC. Factors with P-value <0.20 in univariate analysis were included in the multivariate analysis. CI, confidence interval; HLA, human leukocyte antigen; HR, hazard ratio.

Discussion

Expression of CD56 has been reported as one of the adverse prognostic factors in AML with t(8;21), associated with a short remission duration and survival as well as higher incidence of extramedullary relapse.19,20 Recently, several investigators have suggested that CD56 expression is also associated with short remission duration in APL, higher CIR, and extramedullary relapse (Table5).9–12 However, large-scale studies with long-term follow-up are limited,12 and the prognostic significance of CD56 expression has not been fully elucidated.
Table 5

Clinical features and outcomes in acute promyelocytic leukemia (APL) patients with CD56 expression, as reported in published works

AuthorsNo. of patientsTreatmentCD56+ APL (%)Clinical features in patients with CD56+ APL*CR rate
CIR
CIR (extramedullary)
DFS
OS
CD56+CD56CD56+CD56CD56+CD56CD56+CD56CD56+CD56
Murray et al.950CT alone / ATRA alone / ATRA + CT24%S-isoform↑, Fibrinogen↓50%*84%NANANANANANA5 weeks*232 weeks
Ferrara et al.10100ATRA + CT15%No effect87%94%NANA13%8%22 monthsNR62%*86%
Ito et al.1128ATRA + CT14%Coexpression of CD34100%87%NANA75%*0%4 months*NR26 monthsNR
Montesinos et al.12651CT alone / ATRA + CT11%Initial WBC counts↑, Albumin↓, S-isoform↑, Coexpression of CD2, CD7, CD15, CD34, CD117, and HLA-DR85%92%22%*10%7%*1%73%*85%78%84%
Present study (all patients)225ATRA + CT10%Initial platelet counts↓, Severe DIC↑, Coexpression of CD2, CD7, CD34, and HLA-DR91%95%39%24%5%1.5%48%65%74%79%
Present study (initial WBC counts ≥3.0 × 109/L)112ATRA + CT12%92%94%54%*29%9.3%1.1%31%*64%62%79%

Significant difference.

Event-free survival in present study. APL, acute promyelocytic leukemia; ATRA, all-trans retinoic acid; CIR, cumulative incidence of relapse; CR, complete remission; CT, chemotherapy; DFS, disease-free survival; DIC, disseminated intravascular coagulation; HLA, human leukocyte antigen; NA, not available; NR, not reached; OS, overall survival; WBC, white blood cell.

Clinical features and outcomes in acute promyelocytic leukemia (APL) patients with CD56 expression, as reported in published works Significant difference. Event-free survival in present study. APL, acute promyelocytic leukemia; ATRA, all-trans retinoic acid; CIR, cumulative incidence of relapse; CR, complete remission; CT, chemotherapy; DFS, disease-free survival; DIC, disseminated intravascular coagulation; HLA, human leukocyte antigen; NA, not available; NR, not reached; OS, overall survival; WBC, white blood cell. Our study, analyzing 239 APL patients, showed a significant correlation between CD56 expression with lower platelet counts and severe DIC. In contrast to previous reports,9,10,12 CD56 expression was not associated with higher WBC counts, lower albumin levels, or higher frequency of M3 variant. Severity of DIC was related to platelet counts in CD56+ APL, although fibrinogen levels and fibrinogen degradation product ratios (fibrinogen degradation product value/its upper limit of normal value) were not different (Table1). The relationship between CD56 expression and DIC in AML, including APL, has not been elucidated. As statistically significant findings associated with CD56+ APL in previous reports were not the same as our present study, further studies with sufficient numbers of patients will be needed to clarify the characteristic features of CD56+ APL. Consistent with the report from the PETHEMA/HOVON group,12 CD56+ APL cells frequently coexpressed CD2, CD7, CD34, and/or HLA-DR antigen in our study. Although the mechanism leading to aberrant expression of lymphoid markers, such as CD2 and CD7 in CD56+ APL cells, remains unclear, the expression of these antigens, as well as CD34 and HLA-DR, may indicate that CD56+ APL cells arise in more immature, undifferentiated, and progenitor cells, as previously suggested in acute leukemia.21 The PETHEMA/HOVON group have reported lower CR rates in their patients with CD56+ APL.12 However, our study showed no difference in CR and induction mortality rates. Their patients with CD56+ APL showed poorer ECOG PS scores and lower albumin levels compared with our patients. Higher ECOG PS scores and lower albumin levels were reportedly associated with induction mortality.22 Therefore, the difference may be explained by the characteristics of patients enrolled in both studies. Our study indicated that CD56 expression was correlated with higher CIR and inferior EFS, and was an independent adverse prognostic factor for EFS by multivariate analysis among APL patients whose initial WBC counts were ≥3.0 × 109/L. These results verified that CD56 expression was one of the adverse prognostic factors in APL patients. However, the direct molecular mechanism why CD56 expression in APL is associated with poor prognosis still remains unclear. CD56 expression is reportedly associated with higher expression of P-glycoprotein in AML,23,24 but their adverse prognostic roles seem independent.24 Unfortunately, neither ours nor other studies focusing on CD56+ APL have tested the association between CD56 and P-glycoprotein. However, APL expressing CD34 was reportedly less sensitive to ATRA therapy.25,26 Therefore, coexpression of CD34 antigen might explain the higher CIR in CD56+ APL, although the RT-PCR negativity after the consolidation chemotherapy was not different between CD56+ and CD56− APL. In this study, CD56 expression was not determined as one of the prognostic factors in APL patients whose initial WBC counts were <3.0 × 109/L. One explanation might be that it has become difficult to determine significant risk factors in patients with APL, whose prognosis has considerably improved.1–5 In particular, in patients with lower initial WBC counts, the outcome has been dramatically improved in the ATRA era.3,27 Another considerable reason is that there might be synergistic action between CD56 expression and some undetermined proliferation molecular factors. Additionally, extramedullary relapse, observed frequently in patients with CD56+ APL whose initial WBC counts are ≥3.0 × 109/L, might also be a reason. The molecular mechanism behind why CD56+ APL patients with higher initial WBC counts show poor prognosis should be clarified in a future study. Recently, arsenic trioxide, gemtuzumab ozogamicin, and tamibarotene have been shown to be effective for APL,28–33 and, in fact, most of our relapsed patients received these drugs as well as stem cell transplantation. This may be a plausible reason why EFS and CIR tended to be worse in CD56+ APL, but not OS, because these drugs and transplantation salvaged the relapsed patients. Although our study confirmed CD56 expression as an independent adverse prognostic factor in APL patients with higher initial WBC counts who were treated with ATRA and chemotherapy (Table4), the clinical significance of CD56 expression might change with the introduction of more potent agents as front-line therapy. Expression of CD56 has not been included so far in standard treatments recommended by the European LeukemiaNet.14 However, some recent published research, including ours (summarized in Table5), will promote the modification of treatment for CD56+ APL. In fact, it is proposed in some recently published studies. We should not only continue to monitor CD56 expression in APL patients, but use more effective therapeutic strategies for patients with CD56+ APL, especially those with higher initial WBC counts.
  31 in total

1.  CD56 expression in acute promyelocytic leukemia: a possible indicator of poor treatment outcome?

Authors:  C K Murray; E Estey; E Paietta; R S Howard; W J Edenfield; S Pierce; K P Mann; C Bolan; J C Byrd
Journal:  J Clin Oncol       Date:  1999-01       Impact factor: 44.544

2.  All-trans retinoic acid delays the differentiation of primitive hematopoietic precursors (lin-c-kit+Sca-1(+)) while enhancing the terminal maturation of committed granulocyte/monocyte progenitors.

Authors:  L E Purton; I D Bernstein; S J Collins
Journal:  Blood       Date:  1999-07-15       Impact factor: 22.113

3.  Efficacy of gemtuzumab ozogamicin on ATRA- and arsenic-resistant acute promyelocytic leukemia (APL) cells.

Authors:  A Takeshita; K Shinjo; K Naito; H Matsui; N Sahara; K Shigeno; T Horii; N Shirai; M Maekawa; K Ohnishi; T Naoe; R Ohno
Journal:  Leukemia       Date:  2005-08       Impact factor: 11.528

4.  A modified AIDA protocol with anthracycline-based consolidation results in high antileukemic efficacy and reduced toxicity in newly diagnosed PML/RARalpha-positive acute promyelocytic leukemia. PETHEMA group.

Authors:  M A Sanz; G Martín; C Rayón; J Esteve; M González; J Díaz-Mediavilla; P Bolufer; E Barragán; M J Terol; J D González; D Colomer; C Chillón; C Rivas; T Gómez; J M Ribera; R Bornstein; J Román; M J Calasanz; J Arias; C Alvarez; F Ramos; G Debén
Journal:  Blood       Date:  1999-11-01       Impact factor: 22.113

5.  CD56 expression is an indicator of poor clinical outcome in patients with acute promyelocytic leukemia treated with simultaneous all-trans-retinoic acid and chemotherapy.

Authors:  F Ferrara; F Morabito; B Martino; G Specchia; V Liso; F Nobile; P Boccuni; R Di Noto; F Pane; M Annunziata; E M Schiavone; M De Simone; C Guglielmi; L Del Vecchio; F Lo Coco
Journal:  J Clin Oncol       Date:  2000-03       Impact factor: 44.544

6.  CD56 antigenic expression in acute myeloid leukemia identifies patients with poor clinical prognosis.

Authors:  D Raspadori; D Damiani; M Lenoci; D Rondelli; N Testoni; G Nardi; C Sestigiani; C Mariotti; S Birtolo; M Tozzi; F Lauria
Journal:  Leukemia       Date:  2001-08       Impact factor: 11.528

7.  Analysis of prognostic factors in newly diagnosed acute promyelocytic leukemia treated with all-trans retinoic acid and chemotherapy. Japan Adult Leukemia Study Group.

Authors:  N Asou; K Adachi; J Tamura; A Kanamaru; S Kageyama; A Hiraoka; E Omoto; H Akiyama; K Tsubaki; K Saito; K Kuriyama; H Oh; K Kitano; S Miyawaki; K Takeyama; O Yamada; K Nishikawa; M Takahashi; S Matsuda; S Ohtake; H Suzushima; N Emi; R Ohno
Journal:  J Clin Oncol       Date:  1998-01       Impact factor: 44.544

8.  Definition of relapse risk and role of nonanthracycline drugs for consolidation in patients with acute promyelocytic leukemia: a joint study of the PETHEMA and GIMEMA cooperative groups.

Authors:  M A Sanz; F Lo Coco; G Martín; G Avvisati; C Rayón; T Barbui; J Díaz-Mediavilla; G Fioritoni; J D González; V Liso; J Esteve; F Ferrara; P Bolufer; C Bernasconi; M Gonzalez; F Rodeghiero; D Colomer; M C Petti; J M Ribera; F Mandelli
Journal:  Blood       Date:  2000-08-15       Impact factor: 22.113

9.  Expression of the neural cell adhesion molecule CD56 is associated with short remission duration and survival in acute myeloid leukemia with t(8;21)(q22;q22).

Authors:  M R Baer; C C Stewart; D Lawrence; D C Arthur; J C Byrd; F R Davey; C A Schiffer; C D Bloomfield
Journal:  Blood       Date:  1997-08-15       Impact factor: 22.113

10.  Molecular remission in PML/RAR alpha-positive acute promyelocytic leukemia by combined all-trans retinoic acid and idarubicin (AIDA) therapy. Gruppo Italiano-Malattie Ematologiche Maligne dell'Adulto and Associazione Italiana di Ematologia ed Oncologia Pediatrica Cooperative Groups.

Authors:  F Mandelli; D Diverio; G Avvisati; A Luciano; T Barbui; C Bernasconi; G Broccia; R Cerri; M Falda; G Fioritoni; F Leoni; V Liso; M C Petti; F Rodeghiero; G Saglio; M L Vegna; G Visani; U Jehn; R Willemze; P Muus; P G Pelicci; A Biondi; F Lo Coco
Journal:  Blood       Date:  1997-08-01       Impact factor: 22.113

View more
  7 in total

1.  Prognostic value of CD56 in patients with acute myeloid leukemia: a meta-analysis.

Authors:  Shuangnian Xu; Xi Li; Jianmin Zhang; Jieping Chen
Journal:  J Cancer Res Clin Oncol       Date:  2015-04-30       Impact factor: 4.553

2.  Predictive factors of postoperative survival among patients with pulmonary neuroendocrine tumor.

Authors:  Yoshinobu Ichiki; Hiroki Matsumiya; Masataka Mori; Masatoshi Kanayama; Yusuke Nabe; Akihiro Taira; Shinji Shinohara; Taiji Kuwata; Masaru Takenaka; Ayako Hirai; Naoko Imanishi; Kazue Yoneda; Hiroshi Noguchi; Shohei Shimajiri; Yoshihisa Fujino; Toshiyuki Nakayama; Fumihiro Tanaka
Journal:  J Thorac Dis       Date:  2018-12       Impact factor: 2.895

Review 3.  Isolated Central Nervous System (CNS) Relapse in Paediatric Acute Promyelocytic Leukaemia: A Systematic Review.

Authors:  Smeeta Gajendra; Rashmi Ranjan Das; Rashi Sharma
Journal:  J Clin Diagn Res       Date:  2017-03-01

4.  [The analysis of prognosis-associated factors in adults with acute promyelocytic leukemia].

Authors:  R J Ma; Z M Zhu; X L Yuan; L Jiang; S W Yang; J Yang; J M Guo; J Shi; P C Lei; L Zhang; B J Shang; K Sun; Y P Zhai; W Li; Y Zhang
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2017-07-14

Review 5.  A narrative review of central nervous system involvement in acute leukemias.

Authors:  Dalma Deak; Nicolae Gorcea-Andronic; Valentina Sas; Patric Teodorescu; Catalin Constantinescu; Sabina Iluta; Sergiu Pasca; Ionut Hotea; Cristina Turcas; Vlad Moisoiu; Alina-Andreea Zimta; Simona Galdean; Jakob Steinheber; Ioana Rus; Sebastian Rauch; Cedric Richlitzki; Raluca Munteanu; Ancuta Jurj; Bobe Petrushev; Cristina Selicean; Mirela Marian; Olga Soritau; Alexandra Andries; Andrei Roman; Delia Dima; Alina Tanase; Olafur Sigurjonsson; Ciprian Tomuleasa
Journal:  Ann Transl Med       Date:  2021-01

6.  CEA Level, Radical Surgery, CD56 and CgA Expression Are Prognostic Factors for Patients With Locoregional Gastrin-Independent GNET.

Authors:  Yuan Li; Xinyu Bi; Jianjun Zhao; Zhen Huang; Jianguo Zhou; Zhiyu Li; Yefan Zhang; Muxing Li; Xiao Chen; Xuhui Hu; Yihebali Chi; Dongbing Zhao; Hong Zhao; Jianqiang Cai
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

7.  The diagnostic power of CD117, CD13, CD56, CD64, and MPO in rapid screening acute promyelocytic leukemia.

Authors:  Vinh Thanh Tran; Thang Thanh Phan; Hong-Phuoc Mac; Tung Thanh Tran; Toan Trong Ho; Suong Phuoc Pho; Van-Anh Ngoc Nguyen; Truc-My Vo; Hue Thi Nguyen; Thao Thi Le; Tin Huu Vo; Son Truong Nguyen
Journal:  BMC Res Notes       Date:  2020-08-26
  7 in total

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