Table 1.

Baseline characteristics based on SF3B1 MT

Comparing all SF3B1 MT vs SF3B1 WT (n = 1729)Comparing SF3B1 MT pts based on new IWG proposal criteria (n = 320)
SF3B1 MT
n = 320
SF3B1 WT
n = 1409
PSF3B1 MT
IWG (n = 175)
SF3B1 MT
non-IWG (n = 145)
P
Age (mean), y 70 68.5 .037 69 71 .2 
Gender (male) 62% 64% .55 67% 56% .04 
Race (white) 94% 90% .13 96% 92% .38 
t-MDS 9% 17% .001 10% 9% .7 
WHO 2016   <.005   <.005 
 MDS-SLD 3% 9%  5% 1%  
 MDS-MLD 8% 26%  8% 8%  
 MDS-SLD-RS 31% 1%  48% 11%  
 MDS-MLD-RS 25% 3%  37% 9%  
 MDS-EB-1 6% 17%  13%  
 MDS-EB-2 6% 21%  12%  
 MDS-U 1% 2%  1% 1%  
 AML 2% 12%  5%  
 MDS/MPN 3% 5%  8%  
 del(5q) 2% 4%  4%  
 MDS/MPN-RS-T 13%  28%  
IPSS-R   <.005   <.005 
 Very low 28% 10%  35% 18%  
 Low 52% 25%  61% 43%  
 Intermediate 10% 21%  4% 17%  
 High 5% 19%  11%  
 Very high 5% 25%  11%  
AML transformation 12.5% 38% <.005 4.7% 22% <.005 
 Myeloblasts 3.2% 8% <.005 1.5% 5% <.005 
  Hgb (g/dL) 11.3 9.7 .007 12.9 9.0 .2 
 ANC 3.5 2.4 .008 2.8 4.3 .01 
 Platelets 287 129 <.005 242 341 <.005 
Mutation landscape       
TET-2 31% 21% <.005 33% 28% .5 
DNMT3A 21% 13% <.005 21% 21% .96 
ASXL-1 15% 22% <.005 11% 19% .15 
IDH-1 1.9% 3.3% .001 1% 3% .5 
IDH-2 2% 5% <.005 2% 2% .9 
SRSF2 4% 13% <.005 3% 6% .3 
U2AF1 1.6% 12% <.005 1% 1% .7 
ZRSR2 5% 6% .001 1% 1% .6 
EZH-2 5% 7.5% <.005 11% <.005 
RUNX-1 12% 9% .001 21% <.005 
ETV-6 1.6% 4% .007 2% 1% .9 
TP53 4.7% 21% <.005 10% <.005 
CBL 1.9% 3% .007 2% 2% .9 
NRAS 1.9% 3.8% <.005 1% 3.4% .2 
SETBP1 3.8% 4.3% .1 3.5% 4% .9 
JAK-2 8.5% 3.4% <.005 6% 12% .16 
MPL 2.2% 1.2% .026 2% 1% .8 
Comparing all SF3B1 MT vs SF3B1 WT (n = 1729)Comparing SF3B1 MT pts based on new IWG proposal criteria (n = 320)
SF3B1 MT
n = 320
SF3B1 WT
n = 1409
PSF3B1 MT
IWG (n = 175)
SF3B1 MT
non-IWG (n = 145)
P
Age (mean), y 70 68.5 .037 69 71 .2 
Gender (male) 62% 64% .55 67% 56% .04 
Race (white) 94% 90% .13 96% 92% .38 
t-MDS 9% 17% .001 10% 9% .7 
WHO 2016   <.005   <.005 
 MDS-SLD 3% 9%  5% 1%  
 MDS-MLD 8% 26%  8% 8%  
 MDS-SLD-RS 31% 1%  48% 11%  
 MDS-MLD-RS 25% 3%  37% 9%  
 MDS-EB-1 6% 17%  13%  
 MDS-EB-2 6% 21%  12%  
 MDS-U 1% 2%  1% 1%  
 AML 2% 12%  5%  
 MDS/MPN 3% 5%  8%  
 del(5q) 2% 4%  4%  
 MDS/MPN-RS-T 13%  28%  
IPSS-R   <.005   <.005 
 Very low 28% 10%  35% 18%  
 Low 52% 25%  61% 43%  
 Intermediate 10% 21%  4% 17%  
 High 5% 19%  11%  
 Very high 5% 25%  11%  
AML transformation 12.5% 38% <.005 4.7% 22% <.005 
 Myeloblasts 3.2% 8% <.005 1.5% 5% <.005 
  Hgb (g/dL) 11.3 9.7 .007 12.9 9.0 .2 
 ANC 3.5 2.4 .008 2.8 4.3 .01 
 Platelets 287 129 <.005 242 341 <.005 
Mutation landscape       
TET-2 31% 21% <.005 33% 28% .5 
DNMT3A 21% 13% <.005 21% 21% .96 
ASXL-1 15% 22% <.005 11% 19% .15 
IDH-1 1.9% 3.3% .001 1% 3% .5 
IDH-2 2% 5% <.005 2% 2% .9 
SRSF2 4% 13% <.005 3% 6% .3 
U2AF1 1.6% 12% <.005 1% 1% .7 
ZRSR2 5% 6% .001 1% 1% .6 
EZH-2 5% 7.5% <.005 11% <.005 
RUNX-1 12% 9% .001 21% <.005 
ETV-6 1.6% 4% .007 2% 1% .9 
TP53 4.7% 21% <.005 10% <.005 
CBL 1.9% 3% .007 2% 2% .9 
NRAS 1.9% 3.8% <.005 1% 3.4% .2 
SETBP1 3.8% 4.3% .1 3.5% 4% .9 
JAK-2 8.5% 3.4% <.005 6% 12% .16 
MPL 2.2% 1.2% .026 2% 1% .8 

Number of somatic mutations tested using the standard Illumina platform, 70% included ≥54 gene panels with a minimum 13-gene panel.

ANC, absolute neutrophil count; Hgb, hemoglobin; MDS-U, MDS-unclassified; MPN, myeloproliferative neoplasm; pts, patients; RS-T, RS with thrombocytosis; WHO, World Health Organization.

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