Literature DB >> 26056082

Classification and clinical behavior of blastic plasmacytoid dendritic cell neoplasms according to their maturation-associated immunophenotypic profile.

Lourdes Martín-Martín1, Antonio López1, Belén Vidriales2, María Dolores Caballero2, António Silva Rodrigues3, Silvia Inês Ferreira4, Margarida Lima5, Sérgio Almeida6, Berta Valverde7, Pilar Martínez8, Ana Ferrer9, Jorge Candeias10, Francisco Ruíz-Cabello11, Josefa Marco Buadesa12, Amparo Sempere13, Neus Villamor14, Alberto Orfao1, Julia Almeida1.   

Abstract

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare subtype of leukemia/lymphoma, whose diagnosis can be difficult to achieve due to its clinical and biological heterogeneity, as well as its overlapping features with other hematologic malignancies. In this study we investigated whether the association between the maturational stage of tumor cells and the clinico-biological and prognostic features of the disease, based on the analysis of 46 BPDCN cases classified into three maturation-associated subgroups on immunophenotypic grounds. Our results show that blasts from cases with an immature plasmacytoid dendritic cell (pDC) phenotype exhibit an uncommon CD56- phenotype, coexisting with CD34+ non-pDC tumor cells, typically in the absence of extramedullary (e.g. skin) disease at presentation. Conversely, patients with a more mature blast cell phenotype more frequently displayed skin/extramedullary involvement and spread into secondary lymphoid tissues. Despite the dismal outcome, acute lymphoblastic leukemia-type therapy (with central nervous system prophylaxis) and/or allogeneic stem cell transplantation appeared to be the only effective therapies. Overall, our findings indicate that the maturational profile of pDC blasts in BPDCN is highly heterogeneous and translates into a wide clinical spectrum -from acute leukemia to mature lymphoma-like behavior-, which may also lead to variable diagnosis and treatment.

Entities:  

Keywords:  acute leukemia; blastic plasmacytoid dendritic cell neoplasm; flow cytometry; lymphoma; maturation profile

Mesh:

Year:  2015        PMID: 26056082      PMCID: PMC4662485          DOI: 10.18632/oncotarget.4146

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


INTRODUCTION

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a relatively rare subtype of leukemia/lymphoma - < 1% of hematologic malignancies [1]- which has been recently categorized in the 2008 World Health Organization (WHO) classification of hematological diseases [2] under acute myeloid leukemia (AML) and related precursor neoplasms. Accumulating evidences show that the normal cellular counterpart of BPDCN resides in the plasmacytoid dendritic cell (pDC) lineage [3]. Despite all the above, diagnosis of BPDCN still remains a challenge; this is probably due to several reasons including its overlapping features with other entities, the lack of recurrent and specific chromosomal abnormalities [4, 5], and its heterogeneous clinical presentation with multiple and variable tissue localizations [6-8]. In addition, diagnosis of BPDCN can be difficult to achieve, particularly when blast cells do not completely fit the typical CD4+ CD56+ HLA-DRhi CD123+ lineage (Lin)− immunophenotypic profile [6, 9]. In fact, at present it is now well-established that tumor cells from BPDCN do express markers which have been classically related to other cell lineages such as CD33, TdT, CD79a, CD2 and CD7 [10, 11], and evidences exist about a broad range of atypical phenotypic profiles in a substantial proportion of cases (up to more than one third of cases), including absence of CD56 [12] and CD4 [13]. Such heterogeneity is also observed at the genetic and molecular level, since multiple and diverse, but unspecific, chromosomal and molecular alterations have been identified [4, 5] with even mutually exclusive gene mutations [14]. Therefore, BPDCN are not only clinically heterogeneous but they also show a considerable biologic diversity which in some cases makes diagnosis difficult. This, together with the low prevalence of the disease, has hampered the study of large series of patients, with few exceptions [6, 7, 15], most reports on BPDCN being based on single or just a few cases. Besides, some of the few larger series reported so far are biased, as they generally include only cases showing cutaneous involvement in the absence of systemic disease and/or they have used rather (even retrospective) restrictive phenotypic inclusion criteria; this has probably contributed to the lack of awareness about disease heterogeneity. In such case we might wonder whether or not, the clinical, phenotypical and genetic diversity of BPDCN (e.g. the maturational stage of blast cells and/or their genetic profile) could contribute to further subclassify this entity, similarly to what happens with other neoplasms, such as B and T-cell malignancies or even AML [16]. Here we describe a relatively large series of 46 BPDCN classified into three subgroups, based on the expression of maturation-associated immunophenotypic markers on tumor vs. normal pDC and pDC precursors. Our major goal was to investigate whether the stage of maturational arrest of pDC tumor cells would be associated with distinct and unique clinico-biological and prognostic features of the disease.

RESULTS

Clinical and laboratory features at presentation

From all 46 cases analyzed, four (9%) were children (median age of 11 years; range: 8 to 12 years) and 42 were adults (median age of 71 years; range: 25 to 91 years), with a clear male predominance: 35 males (76%) vs. 11 females (24%) (Table 1). Most cases (27/45, 60%) consulted because of organ involvement (e.g. skin lesions) in association with B symptoms (32/45 cases, 71%) (Table 1). In a smaller proportion of cases, diagnosis was made because of bleeding (6/45, 13%), bone pain (4/45, 9%) or just the presence of cytopenias with or without blast cells in a routine blood analysis (5/44, 11%). In line with this, most cases presented with extramedullary involvement (33/45, 73%) mainly consisting of skin lesions (29/45 cases, 64%) and/or, to a lesser extent, testis (6%) and central nervous system (CNS) involvement (9% of cases). Presence of lymphadenopathies, splenomegaly and hepatomegaly was detected on physical examination in 51%, 38% and 22% of cases, respectively. Five patients (16%) had an associated myelodysplastic syndrome (MDS) and 3 (7%) had other non-hematological neoplasms (prostate −n = 2- and colon cancer).
Table 1

Clinical characteristics of blastic plasmacytoid dendritic cell neoplasms patients classified according to their maturation-associated immunophenotypic profile

Blast cell phenotype
DemographicsTotal casesGroup 1 (immature)Group 2 (intermediate)Group 3 (mature)P-value
n = 46n = 8n = 24n = 14
Age (years)*61 ± 22 (8–91)68 ± 22 (25–91)56 ± 23 (8–85)68 ± 19 (11–83).05c
Children/Adults4/42 (9%/91%)0/8 (0%/100%)3/21 (13%/87%)1/13 (7%/93%)NS
Sex (male/female)35/11 (76%/24%)6/2 (75%/25%)15/9 (63%/37%)14/0 (100%/0%).008c
Reason for consulting
Routine blood analysis5/44 (11%)0/6 (0%)3/24 (13%)2/14 (14%)NS
B & other general symptoms32/45 (71%)6/7 (86%)17/24 (71%)9/14 (64%)NS
Bleeding6/45 (13%)1/7 (14%)3/24 (13%)2/14 (14%)NS
Bone pain4/45 (9%)0/7 (0%)4/24 (17%)0/14 (0%)NS
Organ involvement27/45 (60%)0/7 (0%)14/24 (58%)13/14 (93%)≤ .03a, b, c
Physical examination
Adenopathies23/45 (51%)0/7 (0%)14/24 (58%)9/14 (64%).007a, b
Splenomegaly17/45 (38%)0/7 (0%)13/24 (54%)4/14 (29%).01a
Hepatomegaly10/45 (22%)0/7 (0%)7/24 (29%)3/14 (21%)NS
Extramedullary involvement33/45 (73%)1/7 (14%)19/24 (79%)13/14 (93%)≤ .004a, b
  - Skin129/45 (64%)1/7 (14%)16/24 (67%)12/14 (86%)≤ .02a, b
  - CNS4/45 (9%)0/7 (0%)3/24 (13%)1/14 (7%)NS
  - Testis22/34 (6%)0/5 (0%)1/15 (7%)1/14 (7%)NS
Clinical history
Associated neoplasia3/44 (7%)0/6 (0%)1/24 (4%)2/14 (14%)NS
Myelodysplastic syndrome5/32 (16%)2/6 (33%)1/19 (5%)2/7 (29%)NS

Results expressed as number of cases from all cases with available data and (percentage) or as *mean ± one standard deviation (range). Statistically significantly differences were found between agroup 1 group 2, bgroup 1 group 3 and cgroup 2 group 3. 1None showed mucosal involvement, 2only in male patients, both children. NS: no statistically significant differences (p > 0.05), CNS: central nervous system.

Results expressed as number of cases from all cases with available data and (percentage) or as *mean ± one standard deviation (range). Statistically significantly differences were found between agroup 1 group 2, bgroup 1 group 3 and cgroup 2 group 3. 1None showed mucosal involvement, 2only in male patients, both children. NS: no statistically significant differences (p > 0.05), CNS: central nervous system. Blood cell counts revealed leukocytosis (> 10 × 109 WBC/l) in 33% of the cases, anemia (< 100g hemoglobin/l) in 63%, thrombocytopenia (< 100 × 109/l) in 64% of the cases and neutropenia (< 1.5 × 109/l) in around half (48%) of cases (Table 2). LDH serum levels were increased in 55% of the patients. The majority of cases (61% and 93%) showed presence of blast cells in both PB (median blast cell percentage of 39%; range: 2% to 83%) and BM (median of 78%; range: 4% to 100%), respectively.
Table 2

Blastic plasmacytoid dendritic cell neoplasms classified according to their maturation-associated immunophenotypic profile: laboratory parameters

Blast cell phenotype
Laboratory parametersTotal casesGroup 1 (immature)Group 2 (intermediate)Group 3 (mature)P-value
n = 46n = 8n = 24n = 14
Anemia (< 100 g/l)28/44 (64%)6/7 (86%)16/24 (67%)6/13 (46%)NS
Leukopenia (< 4 × 109/l)13/43 (30%)4/7 (57%)8/23 (35%)1/13 (8%).03a
Neutropenia (< 1.5 × 109/l)20/41 (49%)6/7 (86%)12/22 (55%)2/12 (17%)≤ .04a, b
Thrombocytopenia (< 100 × 109/l)28/43 (65%)3/7 (43%)16/24 (65%)9/12 (75%)NS
Leukocytosis (> 10 × 109/l)14/43 (33%)0/7 (0%)6/23 (26%)8/13 (62%)≤ .04a, b
Elevated LDH (≥ 450 U/l)22/40 (55%)1/6 (17%)11/21 (52%)10/13 (77%).02a
Presence of blast cells (by morphology)
Peripheral blood% cases27/44 (61%)4/7 (57%)14/24 (58%)9/13 (69%)NS
% blast cells1*39% (2%–83%)11% (2%–35%)45% (2%–80%)39% (10%–83%)NS
Bone marrow% cases41/44 (93%)8/8 (100%)21/24 (88%)12/12 (100%)NS
% blast cells1*78% (4%–100%)68% (46%–73%)80% (18%–99%)85% (4%–100%)NS

Results expressed as number of cases from all cases with available data (percentage) or as *median (range). Statistically significantly differences were found between agroup 1 group 3 and bgroup 2 group 3. 1Only in cases with blast cells. NS: no statistically significant differences (p > 0.05) found, LDH: lactate dehydrogenase; β2-microg: β2-microglobulin. No statistical differences were observed among the groups regarding creatinine and C-reactive protein levels.

Results expressed as number of cases from all cases with available data (percentage) or as *median (range). Statistically significantly differences were found between agroup 1 group 3 and bgroup 2 group 3. 1Only in cases with blast cells. NS: no statistically significant differences (p > 0.05) found, LDH: lactate dehydrogenase; β2-microg: β2-microglobulin. No statistical differences were observed among the groups regarding creatinine and C-reactive protein levels.

Immunophenotypic subgroups of blastic plasmacytoid dendritic cell neoplasms

Patients with BPDCN were divided into three groups according to the maturational stage of the blast/tumor cells as defined by the pattern of expression of CD34 and CD117: 1) immature blastic pDC neoplasms (8/46 cases; 17%) showed expression of CD34 in at least a fraction of the blast cells; 2) intermediate blastic pDC neoplasms (24/46 patients; 52%) typically displayed partial positivity for CD117 in the absence of CD34 expression on the blast cells, and; 3) mature cases (14/46 cases; 30%) had a CD34CD117tumor pDC immunophenotype. Of note, among all immature cases (Group 1) neoplastic pDC systematically coexisted with another blast cell population of myeloid or mixed myeloid plus B-lymphoid origin, accounting for a median of 50% of the whole blast cell population (range: 30% to 90%); such coexisting non-pDC lineage blast cells systematically showed strong CD34 and CD117 expression, whereas the pDC component was typically partially positive for CD34 and negative or dim positive for CD117 (Figure 1J, 1K, and 1L). In contrast, both intermediate (Group 2) and mature (Group 3) blastic pDC neoplasms showed no blast/tumor cell population other than the pDC, all these cases being systematically negative for CD34 by definition. Expression of CD117 (in the absence of CD34) was restricted per definition to Group 2, with a median percentage of CD117+ cells of 18% (range: 5% to 100%).
Figure 1

Illustrating dot plots of the three immunophenotypically defined groups of BPDCN

The neoplastic plasmacytoid dendritic cell population is depicted as black dots, whereas other leukocytes are depicted in gray. Panel I: plots A to I illustrate a combination of markers which are useful for the identification of blastic pDC, while plots J to L show the pattern of expression of CD34 and CD117 for representative cases from the different maturation-associated groups of BPDC neoplasms here defined. Panel II: plots M to X display the pattern of expression observed for those markers found to be expressed at statistically different levels among the three maturation-associated groups of BPDC neoplasms.

Illustrating dot plots of the three immunophenotypically defined groups of BPDCN

The neoplastic plasmacytoid dendritic cell population is depicted as black dots, whereas other leukocytes are depicted in gray. Panel I: plots A to I illustrate a combination of markers which are useful for the identification of blastic pDC, while plots J to L show the pattern of expression of CD34 and CD117 for representative cases from the different maturation-associated groups of BPDC neoplasms here defined. Panel II: plots M to X display the pattern of expression observed for those markers found to be expressed at statistically different levels among the three maturation-associated groups of BPDC neoplasms. Other immunophenotypic markers which showed different patterns of expression on pDC blast cells included (Supplementary Table 2 and Figure 2): CD7 and CD33 which showed a greater expression among cases in the intermediate immunophenotypic Group 2 (p = .008 and p = .04, respectively) and to a lesser extent also, in case of CD7, in Group 3 (p > .05); CD56, which was dimly expressed only in a fraction of cases in Group 1, but widely and intensely positive on tumor cells from Group 2 and Group 3 cases (p ≤ .04), and; NG2, a marker that was absent in Group 1 cases (p ≤ .03) but clearly expressed in most of the other more mature Group 2 and Group 3 patients (Figure 1, panel II, plots M to X and Figure 2).
Figure 2

Immunophenotypic differences observed for individual markers on neoplastic pDC from PBDCN patients classified into the three different maturation-associated groups defined in this study

Only those markers that showed statistically significant differences -CD7, CD33, CD34, CD56, CD117 and NG2- among the three maturation-associated groups of BPDC neoplasms are shown; the percentage of positive cases and the pattern of expression (intensity) observed for the above listed markers are represented as bars for each group of patients. The correspondence between MFI values and the different categories of intensity of expression defined for the individual markers is shown in Supplementary Table 2. Statistically significant differences were found between *Group 1 vs. Group 2, #Group 1 vs. Group 3 and ♦Group 2 vs. Group 3.

Immunophenotypic differences observed for individual markers on neoplastic pDC from PBDCN patients classified into the three different maturation-associated groups defined in this study

Only those markers that showed statistically significant differences -CD7, CD33, CD34, CD56, CD117 and NG2- among the three maturation-associated groups of BPDC neoplasms are shown; the percentage of positive cases and the pattern of expression (intensity) observed for the above listed markers are represented as bars for each group of patients. The correspondence between MFI values and the different categories of intensity of expression defined for the individual markers is shown in Supplementary Table 2. Statistically significant differences were found between *Group 1 vs. Group 2, #Group 1 vs. Group 3 and ♦Group 2 vs. Group 3.

Clinical and laboratory features of the distinct maturation-associated subgroups of BPDCN

Overall, no significant differences were observed among the three phenotypic groups of BPDCN, as regards the distribution of patients according to age. Although a clear male predominance was found in all groups, this was significantly more pronounced in Group 3, where all 14 cases were males (p < .008) (Table 1). Patients in the three groups showed a similar reason for consulting except for cases in Group 1 which less frequently referred because of organ involvement. In line with this, Group 1 cases also showed a significantly lower frequency (vs. the other two groups) of extramedullary involvement (14% vs. 79% and 93%, p ≤ .004), lymphadenopathies (0% vs. 58% and 64%, p ≤ .007) and splenomegaly (0% vs. 54% and 29%, p = .01). Group 2 cases showed intermediate profiles between those of Group 1 and Group 3 patients, as regards the frequency of extramedullary involvement, particularly of skin lesions. Despite similar levels of BM and PB infiltration by tumor pDCs were found among the three groups, the frequency of anemia, leukopenia and neutropenia progressively decreased from Group 1 to Group 2 and Group 3 cases (Table 2). In contrast, the frequency of thrombocytopenia was slightly higher among the latter two groups. The frequency of cases with increased LDH levels was significantly higher in Group 3 vs. Group 1 cases.

Patient treatment and outcome

All 4 Group 1 patients who were treated with curative intention, systematically received an AML-type regimen; this is in contrast with Group 3 cases, who more frequently received either lymphoma (6/9 cases) or acute lymphoblastic leukemia (ALL; 3/9 patients) directed therapies (p = .01) (Table 3). In turn, Group 2 patients received AML (8/19), ALL (5/19) and lymphoma (6/19) associated therapy. Despite the diverse therapies administered, complete remission (CR) was achieved in the great majority of cases (92%) who completed the treatment protocol (n = 25), regardless of their phenotypic group (p > .05); nevertheless, the outcome was poor with a median overall survival (OS) of only 11 months due to early relapse. Interestingly, relapse and/or progression at the CNS level was observed in a high proportion of cases (33%), mostly among Group 2 and Group 3 (29% and 50%, respectively) patients (Table 3); this was even more frequent when only patients who achieved CR were evaluated (60%), particularly in those cases where a lymphoma-type therapy was administered (Supplementary Table 3). Overall, no significant differences were observed in the outcome of the patients from the three distinct immunophenotypic groups (Table 3 and Figure 3A and 3B). In contrast, adulthood (age at diagnosis > 15 years; p = .04) (Figure 3C), presence of lymphadenopathies (p = .03) and hepatomegaly (p = .03) (Figure 3D and 3E), skin lesions (p = .04) (Figure 3F), increased serum LDH (≥ 450U/l; p = .001) (Figure 3H) and β2-microglobulin (≥ 3 mg/l; p = .02) were all associated with a poorer outcome (Table 4). In turn, leukopenia (p = .05) (Figure 3G), administration of ALL-type therapy (Figure 3I) and allogeneic stem cell transplantation (Figure 3J) (p = .03 and p = .04, respectively) were associated with a better outcome. Multivariate analysis of prognostic factors (Table 4) showed that serum LDH levels were the only independent prognostic factor for OS in aggressively-treated patients (p = .005, HR = 6.6; 95% CI = 1.8–24.8).
Table 3

Type of therapy and clinical outcome of patients with BPDCN classified according to the immunophenotypic-associated maturation profile of blast cells

Blast cell phenotype
Type of therapy administeredTotal casesGroup 1 (immature)Group 2 (intermediate)Group 3 (mature)P- value
n = 46n = 8n = 24n = 14
AML-type12/45 (27%)4/8 (50%)8/23 (35%)0/14 (0%)≤. 01a, b
High risk ALL-type8/45 (18%)0/8 (0%)5/23 (22%)3/14 (21%)NS
C(H)OP and C(H)OP-like type12/45 (27%)0/8 (0%)6/23 (26%)6/14 (43%).04a
AHSC transplantation5/45 (11%)1/8 (13%)4/23 (17%)0/14 (0%)NS
Palliative10/45 (22%)3/8 (38%)3/23 (13%)4/14 (29%)NS
No treatment3/45 (7%)1/8 (13%)1/23 (4%)1/14 (7%)NS
Clinical outcome
Median OS (months)7 (4–10)2 (0–4)10 (5–15)4 (0–10)NS
Complete remission123/25 (92%)2/2 (100%)14/15 (93%)7/8 (88%)NS
Relapse17/23 (74%)1/2 (50%)10/14 (71%)6/7 (86%)NS
CNS relapse/progression10/30 (33%)0/3 (0%)5/17 (29%)5/10 (50%)NS
Median OS of aggressively treated non-transplanted cases (months)11 (5–17)23211 (7–15)10 (0–23)NS
Overall mortality42/46 (91%)7/8 (88%)22/24 (92%)13/14 (93%)NS
Early deaths12/46 (26%)4/8 (50%)4/24 (17%)4/14 (29%)NS
Deaths after remission18/23 (78%)1/2 (50%)11/14 (79%)6/7 (86%)NS

Results expressed as number of cases from all cases with available data (percentage). Statistically significantly differences were found between agroup 1 group 3 and bgroup 2 versus group 3. 1Only in aggressively treated patients, 2only one case. BPDC: blastic plasmacytoid dendritic cell; AML: acute myeloblastic leukemia; ALL: acute lymphoblastic leukemia; NS: no statistically significant differences (p > 0.05); AHSC: allogeneic hematopoietic stem cell; OS: overall survival; CNS: central nervous system.

Figure 3

Overall survival of patients with BPDCN

Stratified according to the three pDC maturation-associated groups of patients. Panels A and B, age at diagnosis panel C, presence of lymphadenopathies panel D, hepatomegaly panel E, skin lesions panel F, leukopenia panel G, lactate dehydrogenase (LDH) serum levels panel H, type of systemic therapy administered –acute lymphoid leukemia (ALL)-type vs. acute myeloid leukemia (AML) or lymphoma (NHL)-type therapies- panel I, including allogeneic hematopoietic stem cell transplantation (AHSCT) panel J. For all panels but panel A, only those patients who had been treated with an intention to cure, are represented.

Table 4

Prognostic factors (univariate and multivariate analysis) for overall survival among aggressively-treated patients with blastic plasmacytoid dendritic cell neoplasms (n = 25)

Patient features% of casesMedian (months)Uni P- valueMulti P- valueHazard Ratio95% CI
Age≤ 15 y16NR.04
> 15 y8414
AdenopathiesNo5222.03
Yes4810
HepatomegalyNo7217.03
Yes2811
Skin involvementNo4423.04
Yes5611
Leukopenia (< 4 × 109/l)No7411.05
Yes2623
Elevated LDH (≥ 450U/l)No3623.001.0056.61.8 – 24.8
Yes6410
Increased β2-M (≥ 3 mg/l)No4342.02
Yes5710
ALL-type treatmentNo2810.03
Yes72NR
AHSC transplantationNo8011.04
Yes20NR
RelapseNo32NR.02
Yes6814

Uni: univariate analysis, Multi: multivariate analysis, CI: confidence interval, NR: not reached, LDH: lactate dehydrogenase, β2-M: β2-microglobulin, ALL: acute lymphoblastic leukemia, AHSC: allogeneic hematopoietic stem cell.

Results expressed as number of cases from all cases with available data (percentage). Statistically significantly differences were found between agroup 1 group 3 and bgroup 2 versus group 3. 1Only in aggressively treated patients, 2only one case. BPDC: blastic plasmacytoid dendritic cell; AML: acute myeloblastic leukemia; ALL: acute lymphoblastic leukemia; NS: no statistically significant differences (p > 0.05); AHSC: allogeneic hematopoietic stem cell; OS: overall survival; CNS: central nervous system.

Overall survival of patients with BPDCN

Stratified according to the three pDC maturation-associated groups of patients. Panels A and B, age at diagnosis panel C, presence of lymphadenopathies panel D, hepatomegaly panel E, skin lesions panel F, leukopenia panel G, lactate dehydrogenase (LDH) serum levels panel H, type of systemic therapy administered –acute lymphoid leukemia (ALL)-type vs. acute myeloid leukemia (AML) or lymphoma (NHL)-type therapies- panel I, including allogeneic hematopoietic stem cell transplantation (AHSCT) panel J. For all panels but panel A, only those patients who had been treated with an intention to cure, are represented. Uni: univariate analysis, Multi: multivariate analysis, CI: confidence interval, NR: not reached, LDH: lactate dehydrogenase, β2-M: β2-microglobulin, ALL: acute lymphoblastic leukemia, AHSC: allogeneic hematopoietic stem cell.

DISCUSSION

BPDCN is a rare but very aggressive disease whose nomenclature, ontogeny and underlying biology have evolved over the years, since its first description by Brody et al. in 1995 [17]. Despite the number of cases reported in recent years has increased, as well as our knowledge about the biology of its postulated normal cellular counterpart (i.e. pDC lineage cells) [9, 18–20], the diagnosis of the disease still remains a challenge. This is due in part, to the clinical and phenotypical diversity observed among the patients and the overlapping features with other hematologic malignancies. In order to elucidate whether the clinical heterogeneity of BPDCN is related to the maturation stage of pDC tumor cells, here we analyzed a relatively large series of 46 patients, whose general clinical features were fully compatible with those previously reported for this rare entity [6, 7], except for the proportion of cases presenting with skin involvement that was lower (64% vs. 76%–100%) in our vs. other series [6, 7, 15, 21]. Although there is no definitive explanation for such difference, it might be due to the fact that until recently, skin lesions have been considered one of the major features that point to the diagnosis of BPDCN and consequently, a fraction of BPDCN patients, who have no cutaneous manifestations, might have gone undetected/not identified. Alternatively, a bias in sample selection could also exist, as more blood and BM vs. tissue samples from complex cases are referred from other centers to our institution. Once we grouped our cases according to the immunophenotypic maturation profile of pDC-lineage tumor cells, important differences were noted between the immature and the more mature cases, the intermediate group showing also intermediate features. Despite CD34 has been frequently considered as an exclusion marker for the diagnosis of BPDCN [11, 22], this marker was expressed in a fraction of pDC-lineage commited blast cells in around one fifth of our cases. Interestingly, these CD34+ BPDCN cases systematically had a second CD34+ blast cell population with a minimally differentiated (non-lymphoid) phenotype. These results support and extend on previous observations by the Hellenic Dendritic Cell Leukemia Study Group, which found similar phenotypic and clinical characteristics to those of our Group 1 cases in 4/26 (15%) of their BPDCN patients [6]. If the WHO 2008 criteria [2] would be strictly applied, these cases would be classified as acute leukemia of ambiguous or minimally differentiated myeloid lineage, because of the lack of clear differentiation markers for cell lineages other than pDC. Of note, lymphoid lineage-committed blast cells have also been reported in a smaller proportion of these CD34+ cases ([6] and personal unpublished observations). Previous studies have shown that among CD34+ pDC cases, both the pDC lineage-committed and the minimally differentiated blast cell population coexisting in individual patients, share the same chromosomal aberrations [23, 24], which suggests that both cell populations arise from a common ancestral leukemia cell, and that the pDC-lineage component may represent the more differentiated blast cell compartment. Of note, in these CD34+ cases, the pDC-lineage committed blast cell population frequently did not show aberrant expression of either CD56 or NG2 [6, 23], in contrast to most other more mature (Group 2 and Group 3) BPDCN cases. Furthermore, this subset of CD34+ BPDCN cases also showed a unique clinical behavior vs. the other cases; e.g. at presentation they typically lacked skin lesions and extramedullary disease. These results indicate that in these patients blast cells appear to be almost exclusively confined to the BM with some spreading to PB, reflecting a typical “acute leukemia-like” behavior, associated in most cases with multiple cytopenias. This is in line with the immunophenotypic profile of blast cells from cases classified as immature (Group 1) BPDCN, supporting the notion that they would mimic a stem cell malignancy whose blast cells would have limited ability to differentiate into the early stages of pDC lineage. Conversely, patients classified under Group 3, displayed a more mature pDC immunophenotype, associated with a greater frequency of extramedullar involvement (particularly in the skin) and spread into the lymph nodes and other secondary lymphoid tissues; such clinical behavior mimics that of aggressive lymphomas. Altogether, these results point out to a more mature and differentiated tumor pDC, blocked at a stage where the pDC precursor already leaves the BM via PB, with a greater migration capacity into peripheral tissues and secondary lymphoid tissues, which translates into frequent extramedullary organ involvement. In line with this hypothesis, Group 2 cases showed an intermediate phenotypic and clinical behavior between the other two groups (immature and mature) of BPDCN patients. These results support the notion that BPDCN originates from a BM cell precursor that secondarily involves the skin [25] and other peripheral tissues and lymphoid organs, at least in the great majority of cases. Despite the here defined maturation-associated subgroups of BPDCN displayed a clearly different clinical behavior at presentation, no significant differences were observed among them as regards disease outcome, with systematically low (i.e. less than a year) OS rates. However, it should be noted that different treatments were given to these patients due to their heterogeneous clinical presentation and equivocal tumor cell features at presentation. Of note, high CR rates were obtained, regardless of the type of therapy administered. However, most cases showed an aggressive clinical course with early recurrence of the disease, resistance to therapy and a dismal prognosis with median overall survival rates of less than a year, fully in line with previous observations [25]. Despite the above, more detailed analysis of patient outcome according to therapy showed that cases treated with ALL-type protocols had a better outcome than the other patients, particularly than those who received lymphoma-type regimens (Supplementary Table 3); these results are also in line with previous observations [6, 21], although younger patients (e.g. children) were mostly included in the group treated with ALL-like protocols. Therefore, the question remains about whether the treatment itself or age at diagnosis, would explain the apparently better prognosis of this subgroup of BPDCN patients. In this regard, it should also be emphasized that the only two adults who survived so far, were both treated with an allogeneic stem cell transplant following ALL-type therapy in one case and AML-type chemotherapy in the other patient. Despite the low number of cases included in each group, our results would reinforce previous observations suggesting a better outcome for patients treated with ALL-type and/or allogeneic stem cell transplantation [6, 7, 21, 26]. Although the potential impact of age cannot be ruled out, we may speculate that the better outcome of cases treated with ALL-type chemotherapy could be due to systematic administration of CNS prophylaxis, since a high percentage of the cases (60%) showed CNS involvement at relapse, particularly among non-ALL-type chemotherapy treated patients (all but one, who received an ALL-type protocol). Despite the broad variety of prognostic factors -including therapy- found to be associated with patient outcome, LDH emerged as the only independent prognostic factor for aggressively-treated patients, in line with the strong predictive value of LDH in other hematological malignancies, particularly mature/peripheral lymphoid tumors [27, 28]. In summary, here we show that tumor cells from BPDCN may show a highly variable maturational profile, which translates into a heterogeneous clinical behavior ranging from that of acute leukemia to peripheral/mature lymphomas, such wide clinical spectrum potentially leading also to variable differential diagnoses and administration of distinct treatment modalities. Despite the dismal prognosis of the great majority of patients, usage of ALL-type therapy with CNS prophylaxis and/or allogeneic stem cell transplantation appears to be, among all regimens administered, the only effective ones. Overall, these results support the unique clinical and prognostic behavior of this subgroup of non-lymphoid neoplasms, which requires redefined diagnostic criteria and improved/novel [29] treatment strategies/regimens (e.g. CNS prophylaxis and consolidation regimens) for prolonged CR and survival rates.

MATERIALS AND METHODS

Patients and samples

A total of 46 patients (4 children and 42 adults; 35 males and 11 females) diagnosed with BPDCN (according to WHO 2008 criteria [2]) and who were referred to the Cytometry Service of the Cancer Research Centre of the University of Salamanca (Salamanca, Spain), were included in this study. Diagnosis was prospectively made, based on co-expression of HLA-DR++ and CD123+/++ (which strongly supports a plasmacytoid dendritic cell origin [11, 30]) together with CD4 positivity, dim expression of CD45 and intermediate forward scatter (FSC)/sideward scatter (SSC) values, after blast cell commitment to other myeloid and lymphoid cell lineages had been excluded by morphological, immunophenotypical and molecular analyses (e.g. germline TCR and IGH gene configurations). The vast majority of cases also showed expression of CD36, further supporting a BPDCN diagnosis in the presence of the above referred phenotype. In every patient, bone marrow (BM), peripheral blood (PB) and/or fine-needle aspiration (FNA) tissue samples were obtained and studied at diagnosis, before any therapy had been administered. Clinical and laboratory data was retrospectively collected from the referring centers. At the moment of closing the study, median follow-up was of 7 months (range: < 1 to 104 months), 41 patients had died and 5 remained alive. The study was approved by the Ethics Committee of the Cancer Research Center, and performed following the Declaration of Helsinki. Each participant gave his informed consent prior entering the study. Systemic therapy was administered to 32/46 patients and consisted of standard AML-type (cytarabine in combination with idarubicin, mitoxantrone or daunorubicin), acute lymphoid leukemia (ALL)-type (Spanish PETHEMA LAL-AR/2003 protocol and hyper-CVAD) [31] or lymphoma-type (i.e. C(H)OP) protocols, according to local criteria at the referring centers. The remaining patients received only palliative care based on local criteria.

Flow cytometry immunophenotyping

Multiparameter flow cytometry immunophenotypic studies were performed on whole BM, PB and FNA samples obtained from lymphoid tissues and/or skin lesions, using multicolor [3, 4, 6–8, 11] combinations of a large panel of monoclonal antibodies (Supplementary Table 1); since 2009 these included the EuroFlow panels [32]. In all cases, samples were stained using a direct immunofluorescence technique, as described elsewhere [20]. For data acquisition, a FACSCalibur and FACSCanto II flow cytometers (Becton Dickinson Biosciences –BD-, San Jose, CA, USA) were used. The Infinicyt (Cytognos, Salamanca, Spain) software program was used for data analysis.

Cytomorphological and histopathological analyses

Cytological analysis of May-Grünwald-Giemsa stained PB and BM smears was performed by conventional microscopy. In turn, conventional histopathological analyses were also performed in parallel for those cases showing lymph node and/or skin involvement, to further confirm tissue infiltration by pDC blast cells.

Statistical methods

Conventional descriptive and comparative statistics – Mann-Whitney U non-parametric test (for continuous variables) and the χ2 test (for categorical variables)- were calculated using the PASW 19 program (IBM SPSS Statistics, IBM, Armonk, NY, USA). Overall survival curves (OS) were plotted according to the Kaplan-Meier method and compared using the (one-sided) log-rank test. Multivariate Cox proportional hazard models (stepwise regression) were applied to explore the independent effect of each parameter under study (including immunophenotypical BPDCN subgrouping) on OS. Hazard ratio and 95% confidence interval were also estimated. P values < 0.05 were considered to be associated with statistical significance.
  31 in total

1.  Activity of SL-401, a targeted therapy directed to interleukin-3 receptor, in blastic plasmacytoid dendritic cell neoplasm patients.

Authors:  Arthur E Frankel; Jung H Woo; Chul Ahn; Naveen Pemmaraju; Bruno C Medeiros; Hetty E Carraway; Olga Frankfurt; Stephen J Forman; Xuezhong A Yang; Marina Konopleva; Francine Garnache-Ottou; Fanny Angelot-Delettre; Christopher Brooks; Michael Szarek; Eric Rowinsky
Journal:  Blood       Date:  2014-05-23       Impact factor: 22.113

2.  Treatment of high-risk Philadelphia chromosome-negative acute lymphoblastic leukemia in adolescents and adults according to early cytologic response and minimal residual disease after consolidation assessed by flow cytometry: final results of the PETHEMA ALL-AR-03 trial.

Authors:  Josep-Maria Ribera; Albert Oriol; Mireia Morgades; Pau Montesinos; Josep Sarrà; José González-Campos; Salut Brunet; Mar Tormo; Pascual Fernández-Abellán; Ramon Guàrdia; María-Teresa Bernal; Jordi Esteve; Pere Barba; María-José Moreno; Arancha Bermúdez; Antonia Cladera; Lourdes Escoda; Raimundo García-Boyero; Eloy Del Potro; Juan Bergua; María-Luz Amigo; Carlos Grande; María-José Rabuñal; Jesús-María Hernández-Rivas; Evarist Feliu
Journal:  J Clin Oncol       Date:  2014-04-21       Impact factor: 44.544

3.  Blastic plasmacytoid dendritic cell neoplasm: clinical features in 90 patients.

Authors:  F Julia; T Petrella; M Beylot-Barry; M Bagot; D Lipsker; L Machet; P Joly; O Dereure; M Wetterwald; M d'Incan; F Grange; J Cornillon; G Tertian; E Maubec; P Saiag; S Barete; I Templier; F Aubin; S Dalle
Journal:  Br J Dermatol       Date:  2013-09       Impact factor: 9.302

4.  SPIB, a novel immunohistochemical marker for human blastic plasmacytoid dendritic cell neoplasms: characterization of its expression in major hematolymphoid neoplasms.

Authors:  Santiago Montes-Moreno; Rocio Ramos-Medina; Azahara Martínez-López; Carlos Barrionuevo Cornejo; Alejandro Parra Cubillos; Shirley Quintana-Truyenque; Socorro María Rodriguez Pinilla; Raquel Pajares; Lydia Sanchez-Verde; Jorge Martinez-Torrecuadrada; Giovanna Roncador; Miguel Angel Piris
Journal:  Blood       Date:  2012-11-19       Impact factor: 22.113

5.  Exome sequencing reveals novel and recurrent mutations with clinical impact in blastic plasmacytoid dendritic cell neoplasm.

Authors:  J Menezes; F Acquadro; M Wiseman; G Gómez-López; R N Salgado; J G Talavera-Casañas; I Buño; J V Cervera; S Montes-Moreno; J M Hernández-Rivas; R Ayala; M J Calasanz; M J Larrayoz; L F Brichs; M Gonzalez-Vicent; D G Pisano; M A Piris; S Álvarez; J C Cigudosa
Journal:  Leukemia       Date:  2013-09-27       Impact factor: 11.528

6.  Twenty-one cases of blastic plasmacytoid dendritic cell neoplasm: focus on biallelic locus 9p21.3 deletion.

Authors:  Marco Lucioni; Francesca Novara; Giacomo Fiandrino; Roberta Riboni; Daniele Fanoni; Mariarosa Arra; Luigia Venegoni; Marta Nicola; Elena Dallera; Luca Arcaini; Francesco Onida; Pamela Vezzoli; Erica Travaglino; Emanuela Boveri; Orsetta Zuffardi; Marco Paulli; Emilio Berti
Journal:  Blood       Date:  2011-09-07       Impact factor: 22.113

7.  Blastic plasmacytoid dendritic cell neoplasm in children: diagnostic features and clinical implications.

Authors:  Armin G Jegalian; Nataliya P Buxbaum; Fabio Facchetti; Mark Raffeld; Stefania Pittaluga; Alan S Wayne; Elaine S Jaffe
Journal:  Haematologica       Date:  2010-07-27       Impact factor: 9.941

8.  Blastic plasmacytoid dendritic cell neoplasm with leukemic presentation: an Italian multicenter study.

Authors:  Livio Pagano; Caterina Giovanna Valentini; Alessandro Pulsoni; Simona Fisogni; Paola Carluccio; Francesco Mannelli; Monia Lunghi; Gianmatteo Pica; Francesco Onida; Chiara Cattaneo; Pier Paolo Piccaluga; Eros Di Bona; Elisabetta Todisco; Pellegrino Musto; Antonio Spadea; Alfonso D'Arco; Stefano Pileri; Giuseppe Leone; Sergio Amadori; Fabio Facchetti
Journal:  Haematologica       Date:  2012-10-12       Impact factor: 9.941

9.  Stem cell transplantation can provide durable disease control in blastic plasmacytoid dendritic cell neoplasm: a retrospective study from the European Group for Blood and Marrow Transplantation.

Authors:  Damien Roos-Weil; Sascha Dietrich; Ariane Boumendil; Emmanuelle Polge; Dominique Bron; Enric Carreras; Arturo Iriondo Atienza; William Arcese; Dietrich W Beelen; Jan J Cornelissen; Nicolaus Kröger; Giuseppe Milone; Giuseppe Rossi; Fabrice Jardin; Christina Peters; Vanderson Rocha; Anna Sureda; Mohamad Mohty; Peter Dreger
Journal:  Blood       Date:  2012-11-30       Impact factor: 22.113

10.  Targeted ultra-deep sequencing reveals recurrent and mutually exclusive mutations of cancer genes in blastic plasmacytoid dendritic cell neoplasm.

Authors:  Albrecht Stenzinger; Volker Endris; Nicole Pfarr; Mindaugas Andrulis; Korinna Jöhrens; Frederick Klauschen; Udo Siebolts; Thomas Wolf; Philipp-Sebastian Koch; Miriam Schulz; Wolfgang Hartschuh; Sergij Goerdt; Jochen K Lennerz; Claudia Wickenhauser; Wolfram Klapper; Ioannis Anagnostopoulos; Wilko Weichert
Journal:  Oncotarget       Date:  2014-08-15
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  26 in total

1.  Recurrent MYB rearrangement in blastic plasmacytoid dendritic cell neoplasm.

Authors:  K Suzuki; Y Suzuki; A Hama; H Muramatsu; M Nakatochi; M Gunji; D Ichikawa; M Hamada; R Taniguchi; S Kataoka; N Murakami; D Kojima; Y Sekiya; E Nishikawa; N Kawashima; A Narita; N Nishio; Y Nakazawa; H Iwafuchi; K-I Watanabe; Y Takahashi; M Ito; S Kojima; S Kato; Y Okuno
Journal:  Leukemia       Date:  2017-03-27       Impact factor: 11.528

2.  Blastic Plasmacytoid Dendritic Cell Neoplasm: Still an Enigma.

Authors:  Neha Singh; Narendra Agrawal; Poojan Agarwal; Anurag Mehta
Journal:  Indian J Hematol Blood Transfus       Date:  2018-02-14       Impact factor: 0.900

3.  How should we diagnose and treat blastic plasmacytoid dendritic cell neoplasm patients?

Authors:  Francine Garnache-Ottou; Chrystelle Vidal; Sabeha Biichlé; Florian Renosi; Eve Poret; Maïder Pagadoy; Maxime Desmarets; Anne Roggy; Estelle Seilles; Lou Soret; Françoise Schillinger; Sandrine Puyraimond; Tony Petrella; Claude Preudhomme; Christophe Roumier; Elisabeth A MacIntyre; Véronique Harrivel; Yohan Desbrosses; Bérengère Gruson; Franck Geneviève; Sylvain Thepot; Yuriy Drebit; Thibaut Leguay; François-Xavier Gros; Nicolas Lechevalier; Pascale Saussoy; Véronique Salaun; Edouard Cornet; Zehaira Benseddik; Richard Veyrat-Masson; Orianne Wagner-Ballon; Célia Salanoubat; Marc Maynadié; Julien Guy; Denis Caillot; Marie-Christine Jacob; Jean-Yves Cahn; Rémy Gressin; Johann Rose; Bruno Quesnel; Estelle Guerin; Franck Trimoreau; Jean Feuillard; Marie-Pierre Gourin; Adriana Plesa; Lucile Baseggio; Isabelle Arnoux; Norbert Vey; Didier Blaise; Romaric Lacroix; Christine Arnoulet; Blandine Benet; Véronique Dorvaux; Caroline Bret; Bernard Drenou; Agathe Debliquis; Véronique Latger-Cannard; Caroline Bonmati; Marie-Christine Bene; Pierre Peterlin; Michel Ticchioni; Pierre-Simon Rohrlich; Anne Arnaud; Stefan Wickenhauser; Valérie Bardet; Sabine Brechignac; Benjamin Papoular; Victoria Raggueneau; Jacques Vargaftig; Rémi Letestu; Daniel Lusina; Thorsten Braun; Vincent Foissaud; Jérôme Tamburini; Hind Bennani; Nicolas Freynet; Catherine Cordonnier; Magali Le Garff-Tavernier; Nathalie Jacques; Karim Maloum; Damien Roos-Weil; Didier Bouscary; Vahid Asnafi; Ludovic Lhermitte; Felipe Suarez; Etienne Lengline; Frédéric Féger; Giorgia Battipaglia; Mohamad Mohty; Sabrina Bouyer; Ouda Ghoual; Elodie Dindinaud; Caroline Basle; Mathieu Puyade; Carinne Lafon; Thierry Fest; Mikael Roussel; Xavier Cahu; Elsa Bera; Sylvie Daliphard; Fabrice Jardin; Lydia Campos; Françoise Solly; Denis Guyotat; Anne-Cécile Galoisy; Alice Eischen; Caroline Mayeur-Rousse; Blandine Guffroy; Christian Recher; Marie Loosveld; Alice Garnier; Vincent Barlogis; Maria Alessandra Rosenthal; Sophie Brun; Nathalie Contentin; Sébastien Maury; Mary Callanan; Christine Lefebvre; Natacha Maillard; Patricia Okamba; Christophe Ferrand; Olivier Adotevi; Philippe Saas; Fanny Angelot-Delettre; Delphine Binda; Eric Deconinck
Journal:  Blood Adv       Date:  2019-12-23

Review 4.  Updates in Novel Therapies for Blastic Plasmacytoid Dendritic Cell Neoplasm (BPDCN).

Authors:  Minas P Economides; David Rizzieri; Naveen Pemmaraju
Journal:  Curr Hematol Malig Rep       Date:  2019-12       Impact factor: 3.952

Review 5.  Treatment of blastic plasmacytoid dendritic cell neoplasm.

Authors:  Jill M Sullivan; David A Rizzieri
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2016-12-02

Review 6.  Blastic Plasmacytoid Dendritic Cell Neoplasm.

Authors:  Joseph D Khoury
Journal:  Curr Hematol Malig Rep       Date:  2018-12       Impact factor: 3.952

Review 7.  Neoplasms derived from plasmacytoid dendritic cells.

Authors:  Fabio Facchetti; Marta Cigognetti; Simona Fisogni; Giuseppe Rossi; Silvia Lonardi; William Vermi
Journal:  Mod Pathol       Date:  2016-01-08       Impact factor: 7.842

8.  Blastic plasmacytoid dendritic cell neoplasms: results of an international survey on 398 adult patients.

Authors:  Kamel Laribi; Alix Baugier de Materre; Mohamad Sobh; Lorenzo Cerroni; Caterina Giovanna Valentini; Tomohiro Aoki; Ritsuro Suzuki; Kengo Takeuchi; Arthur E Frankel; Carlo Cota; David Ghez; Ronan Le Calloch; Livio Pagano; Tony Petrella
Journal:  Blood Adv       Date:  2020-10-13

9.  Approval of tagraxofusp-erzs for blastic plasmacytoid dendritic cell neoplasm.

Authors:  Naveen Pemmaraju; Marina Konopleva
Journal:  Blood Adv       Date:  2020-08-25

Review 10.  Blastic Plasmacytoid Dendritic Cell Neoplasm: Progress in Cell Origin, Molecular Biology, Diagnostic Criteria and Therapeutic Approaches.

Authors:  Wei Cheng; Tian-Tian Yu; Ai-Ping Tang; Ken He Young; Li Yu
Journal:  Curr Med Sci       Date:  2021-07-03
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