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. 2019 May 16;6(3):276–281. doi: 10.1016/j.gendis.2019.05.001

Table 1.

Characteristics of the included studies.

First Author Year Region Subtype Number Sex (M/F) Age (range) EZH2 mutations
Grossmann V 2011 Germany AML 81 57/24 72.8 (40–85.5) 9 (11.1%)
Saygin C 2018 America AML 100 52/48 58.5 (24–75) 5 (5.0%)
Wang XL 2013 China MDS 714 396/318 43 (8–83) 13 (1.8%)
Wang JY 2013 China MDS 153 106/47 51 (16–81) 8 (5.2%)
Bejar R 2012 America MDS 288 203/85 69 (15–90) 23 (8.0%)
Tobiasson M 2016 Sweden and UK MDS 134 Unknown 70.5 (35–88) 12 (9.0%)
SN Khan 2013 America MDS, MDS/MPN, MPN, AML 469 Unknown Unknown 38 (8.0%)
Wu LY 2015 China MDS 304 162/142 57 (11–89) 11 (3.6%)