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. 2024 Jan 5;8(5):1281–1294. doi: 10.1182/bloodadvances.2023011735

Table 2.

Baseline characteristics of MPN-AP/BP cohort at time of transformation

Variable (%) Whole cohort (N = 138) Intensive
(AML-type induction)
(N = 81)
Nonintensive
(HMA or AzaVen)
(N = 57)
P value
(intensive vs nonintensive)
Age at transformation, median [range], y 64 [22-87] 60 [22-76] 70 [42-87] <.001
Sex .16
 Male 87 (63) 47 (58) 40 (70)
 Female 51 (37) 34 (42) 17 (30)
Transformation type <.001
 AP 34 (25) 9 (11) 25 (44)
 BP 104 (75) 72 (89) 32 (56)
Chronic MPN diagnosis .16
 PV/ET 35 (25) 23 (28) 12 (21)
 MPN-U 15 (11) 12 (15) 3 (5)
 PMF 36 (26) 20 (25) 16 (28)
 PPV/PET-MF 52 (38) 26 (32) 26 (46)
Number of prior MPN treatments in chronic phase N = 137 N = 80 N = 57 .16
 0-1 80 (58) 51 (64) 29 (51)
 ≥2 57 (42) 29 (36) 28 (49)
ECOG N = 126 N = 74 N = 52 .03
 0-1 106 (84) 67 (91) 39 (75)
 ≥2 20 (16) 7 (9) 13 (25)
Palpable spleen length (BCM) at time of AP/BP N = 126 N = 71 N = 55 .80
 Not palpable 47 (37) 24 (34) 23 (42)
 < 10 cm 30 (24) 17 (24) 13 (24)
 ≥10 cm 38 (30) 23 (32) 15 (27)
 Splenectomy 11 (9) 7 (10) 4 (7)
Laboratory parameters, median (range) [number]
 Hb, g/L 87 (51-177) [n = 132] 87 (51-177) [n = 77] 87 (51-134) [55] .58
 WBC, ×109/L 12.2 (1-213) [n = 134] 12.8 (1.1-213) [n = 79] 11.5 (1-126) [n = 55] .56
 ANC, ×109/L 3.8 (0-91) [n = 123] 3.8 (0-91) [n = 70] 3.6 (0.2-79) [n = 53] .77
 Platelets, ×109/L 90 (6-1918) [n = 133] 73 (6-865) [n = 78] 109 (13-1918) [n = 55] .01
 PB blasts, % 16 (0-83) [n = 134] 19.5 (0-83) [n = 78] 12 (0-83) [n = 56] .03
 BM blasts, % 25 (3-90) [n = 113] 31 (4-90) [n = 67] 20 (3-89) [n = 46] .03
 LDH, U/L 598 (43-5893) [n = 127] 681 (144-5893) [n = 74] 553 (43-4000) [n = 53] .15
 Albumin, g/L 39 (27-47) [n = 124] 38 (27-47) [n = 74] 42 (30-45) [n = 50] .03
ELN 2022 RISK N = 121 N = 69 N = 52 .14
 Adverse 72 (60) 37 (54) 35 (67)
 Nonadverse 49 (40) 32 (46) 17 (33)
MPN driver mutations N = 101 N = 53 N = 48 .29
 JAK2/MPL 66 (65) 31 (58) 35 (73)
 CALR 12 (12) 7 (13) 5 (10)
 Triple negative 23 (23) 15 (29) 8 (17)
Genes mutated in ≥5% of patients N = 101 N = 53 N = 48
 ASXL1 29 (29) 10 (19) 19 (40) .03
 TET2 26 (26) 18 (34) 8 (17) .07
 SRSF2 26 (26) 10 (19) 16 (33) .11
 IDH1/2 22 (22) 11 (21) 11 (23) .81
 TP53 21 (21) 13 (25) 8 (17) .46
 RUNX1 19 (19) 8 (15) 11 (23) .45
 DNMT3A 16 (16) 7 (13) 9 (19) .59
 NRAS 13 (13) 5 (9) 8 (17) .38
 EZH2 10 (10) 4 (8) 6 (12) .51
 STAG2 12 (12) 5 (9) 7 (15) .54
 PTPN11 7(7) 1 (2) 6 (12) .05
 CEBPA 6 (6) 4 (8) 2 (4) .68
 SETBP1 6 (6) 4 (8) 2 (4) .68
 U2AF1 6 (6) 0 6 (12) .01
 CBL 5 (5) 1 (2) 4 (8) .19
 SF3B1 6 (6) 4 (8) 2 (4) .68
 ZRSR2 5 (5) 2 (4) 3 (6) .67
Mutations by pathway N = 101 N = 53 N = 48
 JAK-STAT pathway 80 (79) 38 (72) 42 (88) .08
 RAS pathway§ 23 (23) 10 (19) 13 (27) .4
 RNA splicing 40 (40) 15 (28) 25 (52) .02
 Epigenetic regulation 67 (66) 35 (66) 32 (67) 1.0
 Transcription factors# 32 (32) 15 (28) 17 (35) .5
Number of mutations N = 101 N = 53 N = 48 .04
 0-1 17 (17) 12 (23) 5 (10)
 2-3 36 (36) 22 (42) 14 (29)
 ≥4 48 (48) 19 (36) 29 (60)

BCM, below costal margin; LDH, lactate dehydrogenase; MPN-U, MPN unclassifiable; PET-MF, post–ET MF; PMF, primary MF; PPV-MF, post–PV MF. Bold values are statistically significant.

Before leukemic transformation.

One patient received decitabine and the remainder received azacitidine.

JAK2, MPL, CALR, CSF3R.

§

CBL, NRAS, PTPN11, KIT, KRAS.

SF3B1, SRSF2, U2AF1, ZRSR2.

ASXL1, BCOR, DNMT3A, EZH2, IDH1/2, SETBP1, TET2.

#

CEBPA, CUX1, ETV6, GATA2, IKZF1, PHF6, RUNX1, WT1.