the spectrum and clinical impact of epigenetic modifier...
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The spectrum and clinical impact of epigenetic modifier mutations in myelomaRunning title: Epigenetic modifier mutations in myeloma
Authors Charlotte Pawlyn1, Martin F Kaiser1, Christoph Heuck2, Lorenzo Melchor1, Christopher P Wardell1, Alex Murison1, Shweta Chavan2, David C Johnson1, Dil Begum1, Nasrin Dahir1, Paula Proszek1#, David A Cairns3, Eileen M Boyle1, John R Jones1, Gordon Cook4, Mark T Drayson5, Roger G Owen6, Walter M Gregory3, Graham H Jackson7, Bart Barlogie2, Faith E Davies1,2, Brian A Walker1,2, Gareth J Morgan1,2
Affiliations1Centre for Myeloma Research, The Institute of Cancer Research, London, United Kingdom2Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR, United States3Clinical Trials Research Unit, University of Leeds, Leeds, United Kingdom4University of Leeds, Leeds, 5Clinical Immunology, School of Immunity & Infection, University of Birmingham, Birmingham6St James’s University Hospital, Leeds7Northern Centre for Bone Marrow Transplantation, Newcastle upon Tyne Hospitals, Newcastle upon Tyne, United Kingdom
Supplementary Information
Supplementary Tables:
Supplementary table 1: Demographics of the 463 patients included in the Myeloma XI analysis
Supplementary table 2: List of epigenetic modifier genes used to interrogate the list of mutations in the Myeloma XI dataset
Supplementary table 3: Demographics of the 156 patients included in the UAMS dataset
Supplementary table 4: List of epigenetic modifier genes sequenced in UAMS dataset
Supplementary table 5: SIFT analysis of Histone 1 family gene mutations
Supplementary table 6: Multivariate cox-regression model for overall survival in Myeloma XI patients
Supplementary table 7: Percentage of patients with mutations in genes encoding epigenetic modifiers sequenced in both the MYXI and UAMS datasets (as shown in Supplementary table 4)
Supplementary Figures:
Supplementary Figure 1: Epigenetic genes mutated in ≥5/463 patients (>1%) in Myeloma XI dataset – location of mutation with respect to protein functional domains
Supplementary Figure 2: Translocation subgroup distribution by presence or absence of epigenetic modifier mutation in the Myeloma XI dataset
Supplementary Figure 3: Survival curves for Histone 1 mutations in Myeloma XI dataset
Supplementary Figure 4: A comparison of the variant allele frequency between the MyXI and UAMS mutations
Supplementary Figure 5: The distribution of mutations in epigenetic modifiers in previously treated patients by GEP70 risk score
Supplementary Figure 6: A comparison of the UAMS molecular subgroup distribution by presence of epigenetic modifier mutations in previously treated patients
Supplementary table 1: Demographics of the 463 patients included in the Myeloma XI analysis
(Reproduced from Walker BA et al, Nat Comm 2015)
Variable n=463
Median age (range) 68 (31-89)Sex ratio (Male:Female) 1.4:1Race
CaucasianNon-caucasian
93% (n=449)3% (n=14)
PathwayIntensiveNon-intensive
57% (n=262)43% (n=201)
IsotypeIgAIgDIgGLight chain onlyNon-SecretorsData missing
26% (n=121)1.7% (n=8)57% (n=263)12% (n=55)1% (n=2)3% (n=14)
ISS stageIIIIIIData missing
30% (n=140)29% (n=135)34% (n=159)6% (n=29)
Beta-2-microglobulin< 3.53.5≤-<5.5≥5.5Data missing
33% (n=153)26% (n=119)35% (n=162)6% (n=29)
Creatinine≥ 104 µM≥ 150 µM
35% (n=162)13% (n=57)
Bone disease 70% (n=324)Hypercalcemia ≥ 2.65 mM 12.5% (n=58)Copy number abnormality (gene)
del(1p33) (FAF1/CDNK2C)del(1p12) (FAM46C)gain(1q21.2) (CKS1B)del(13q) (RB1)del(17p) (TP53)Hyperdiploidy
8.5% (n=39)24% (n=111)36% (n=166)42% (n=195)9.5% (n=44)52% (n=239)
Translocationst(4;14)t(6;14)t(11;14)t(14;16)t(14;20)
12.7% (n=59)1% (n=5)18.6% (n=86)4% (n=17)1% (n=4)
Ig = immunoglobulin
Supplementary table 2List of epigenetic modifier genes used to interrogate the list of mutations in the Myeloma XI dataset
Core/linker histones
Histone demethylases
Histone methyl-transferases
Histone deacetylases
Histone acetyl-transferases
DNA methylation modifiers
Chromatin assembly and remodelling
Readers
Histone 1:HIST1H1AHIST1H1BHIST1H1CHIST1H1DHIST1H1EHIST1H1TH1FOOH1FNTH1F0H1FX
Histone 2A:HIST1H2AAHIST1H2ABHIST1H2ACHIST1H2ADHIST1H2AEHIST1H2AGHIST1H2AHHIST1H2AJHIST1H2AKHIST1H2ALHIST1H2AMHIST2H2AB
KDM1AKDM1BKDM2AKDM2BKDM3AKDM3BKDM4AKDM4BKDM4CKDM4DKDM5AKDM5BKDM5CKDM5DKDM6AKDM6BKDM7A/JHDM1DKDM8/JMJD5UTYPHF2PHF8
ASH1LCARM1
DOT1LEEDEHMT1EHMT2EZH1EZH2MEN1NSD1PRDM2PRMT1PRMT2PRMT5PRMT6PRMT7SETD1ASETD1BSETD2SETD3SETD7SETD8SETDB1
BAZ2AHDAC1HDAC10HDAC11HDAC2HDAC3HDAC4HDAC5HDAC6HDAC7HDAC8HDAC9SIRT1SIRT2SIRT3SIRT4SIRT5SIRT6SIRT7ZBTB33
BRPF1CLOCK
CREBBPELP3EP300EP400GNAT1GNAT2GNAT3GTF3C4HAT1KAT2AKAT2BKAT5MYST3/KAT6AMYST4/KAT6BMYST2/KAT7MYST1/KAT8MORF4L1NCOA1NCOA2
DNMT1DNMT3ADNMT3BIDH1IDH2TET1TET2TET3
ACTL6A
ACTL6B
ARID1A
ARID1B
ARID2
ARID3A
ARID3B
ARID3C
ARID4A
ARID4B
ARID5A
ARID5B
ASXL1
ATRX
BPTFBRD2BRD4BRD8CBX5CBX7CTCFMBD1MBD2MBD3MBD4MBD5MBD6MECP2RAG2TDGTP53BP1
HIST2H2ACHIST3H2AH2AFB3H2AFJH2AFVH2AFXH2AFYH2AFY2H2AFZ
Histone 2B:HIST1H2BAHIST1H2BBHIST1H2BCHIST1H2BDHIST1H2BEHIST1H2BFHIST1H2BGHIST1H2BHHIST1H2BIHIST1H2BJHIST1H2BKHIST1H2BLHIST1H2BMHIST1H2BNHIST1H2BOHIST2H2BEHIST2H2BFHIST3H2BBH2BFMH2BFWT
Histone 3:
SETDB2SETMARSMYD1SMYD2SMYD3SUV39H1SUV39H2SUV420H1SUV420H2SUZ12WHSC1/MMSETWHSC1L1
MLL family:MLLMLL2MLL3MLL4MLL5
NCOA3TAF1TAF1LTAF3
BRD7
CHD1
CHD2
CHD3
CHD4
CHD5
CHD6
CHD8
CHD9
DPF1
DPF2
INO80
KLF1
MLF1IP
PBRM1
PHF10
RBBP4
SET
HIST1H3AHIST1H3BHIST1H3CHIST1H3DHIST1H3EHIST1H3FHIST1H3GHIST1H3HHIST1H3IHIST1H3JHIST2H3DHIST3H3H3F3AH3F3BH3F3C
Histone 4:HIST1H4AHIST1H4BHIST1H4CHIST1H4DHIST1H4EHIST1H4FHIST1H4GHIST1H4HHIST1H4IHIST1H4JHIST1H4KHIST1H4LHIST4H4
SMARCA1
SMARCA2
SMARCA4
SMARCA5
SMARCAD1
SMARCAL1
SMARCB1
SMARCC1
SMARCC2
SMARCD1
SMARCD2
SMARCD3
SMARCE1
SRCAP
Supplementary Table 3Demographics of the 156 patients included in the UAMS dataset
Variable N=156
Median age (range) 67 (34-84)Sex ratio (Male:Female) 1.9:1 (103:53)Race
CaucasianNon-caucasianData missing
85% (133)13% (21)1.2% (2)
ISS stageIIIIIIData missing
29% (46)36% (56)24% (37)11% (17)
Beta-2-microglobulin< 3.5 mg/L3.5≤-<5.5 mg/L≥5.5 mg/LData missing
40% (62)24% (38)25% (39)11% (17)
Creatinine<2 mg/dL>=2 mg/dL
90% (141)10% (15)
Hypercalcaemia <12 mg/dL >=12 mg/dL
99% (155)0.6% (1)
UAMS GEP70 risk group Low High
66% (103)34% (53)
UAMS molecular subgroup CD1 CD2 MF MS PR LB HY
5.8% (9)22% (34)2.6% (4)11% (17)29% (45)10% (15)21% (32)
Supplementary table 4List of epigenetic modifier genes sequenced in UAMS dataset.
Core/linker histones
Histone demethylases
Histone methyl-transferases
Histone deacetylases
Histone acetyl-transferases
DNAmethylationmodifiers
Chromatin assembly and remodelling
Readers
Histone 1:HIST1H1CHIST1H1DHIST1H1E
Histone 2A:HIST1H2ACHIST1H2AGHIST1H2ALHIST1H2AM
Histone 2B:HIST1H2BCHIST1H2BJHIST1H2BKHIST1H2BO
Histone 3:HIST1H3B
KDM2BKDM4CKDM5AKDM5CKDM6A
DOT1LEEDEZH2MEN1NSD1WHSC1SETD2SUZ12
MLL family:MLLMLL2MLL3
HDAC1HDAC4HDAC7
CREBBPEP300KAT6ATAF1
DNMT3AIDH1IDH2TET2
ARID1AARID2ASXL1ATRXCHD2PBRM1SMARCA1SMARCA4SMARCB1
BRD4CTCF
Supplementary table 5SIFT analysis of Histone 1 family gene mutations
Chromosome, position, residue change (input)
PROTEIN_ID CODONCHANGE
POS RESIDUEREF
RESIDUEALT
TYPE SCORE
PREDICTION (cutoff=0.05)
MEDIANINFO
#SEQ
1 6,27835056,C,G ENSP00000330074
ATT AA[G/C] CTG
84 K N Single AA Change
0.022 Damaging 2.79 385
2 6,26056617,G,A ENSP00000339566
CCT [C/T]CT GCG
14 P S Single AA Change
0.152 Tolerated 3.01 174
3 6,26056233,C,T ENSP00000339566
GCG [G/A]CT GGC
142 A T Single AA Change
0.535 Tolerated 3.51 40
4 6,26056421,C,T ENSP00000339566
AGC C[G/A]T ATC
79 R H Single AA Change
0.017 Damaging 2.86 395
5 6,26056643,G,A ENSP00000339566
ACT G[C/T]T CCT
5 A V Single AA Change
0.5 Tolerated 3.01 188
6 6,26056440,C,G ENSP00000339566
GAT [G/C]TG GAG
73 V L Single AA Change
0.008 Damaging 2.86 394
7 6,26056356,C,T ENSP00000339566
GGT [G/A]CT TCT
101 A T Single AA Change
0.008 Damaging 2.88 392
8 6,26056478,G,C ENSP00000339566
CTG G[C/G]T GCT
60 A G Single AA Change
0 Damaging 2.86 393
9 6,26056475,G,A ENSP00000339566
GCT G[C/T]T CTG
61 A V Single AA Change
0.001 Damaging 2.86 393
10 6,26056463,G,T ENSP00000339566
AAA G[C/A]G TTG
65 A E Single AA Change
0.039 Damaging 2.87 387
11 6,26056310,G,C ENSP00000339566
GAA G[C/G]C
116 A G Single AA Change
0.073 Tolerated 3.01 88
AAG12 6,26056394,A,A
CENSP00000339566
Frameshift NA NA NA NA
13 6,26056305,G,A ENSP00000339566
AAG [C/T]CC AAG
118 P S Single AA Change
0.607 Tolerated 3.01 84
14 6,26234968,TTCTT,T
ENSP00000244534
Frameshift NA NA NA NA
15 6,26234977,G,A ENSP00000244534
GCC G[C/T]G CTT
62 A V Single AA Change
0.002 Damaging 2.92 394
16 6,26234840,G,A ENSP00000244534
AAA [C/T]TC AAC
108 L F Single AA Change
0.001 Damaging 2.93 384
17 6,26156849,C,G ENSP00000307705
AAC AA[C/G] AGC
77 N K Single AA Change
0.038 Damaging 2.88 359
18 6,26156802,C,T ENSP00000307705
GCT [C/T]TC AAG
62 L F Single AA Change
0.007 Damaging 2.87 359
19 6,26156812,C,T ENSP00000307705
AAA G[C/T]G CTG
65 A V Single AA Change
0.082 Tolerated 2.87 350
20 6,26156811,G,C ENSP00000307705
AAA [G/C]CG CTG
65 A P Single AA Change
0.019 Damaging 2.87 350
21 6,26156911,G,A ENSP00000307705
AAG G[G/A]C ACC
98 G D Single AA Change
0 Damaging 2.88 359
22 6,26156799,G,C ENSP00000307705
GCC [G/C]CT CTC
61 A P Single AA Change
0.001 Damaging 2.87 359
23 6,26156861,G,C ENSP00000307705
ATC AA[G/C] CTG
81 K N Single AA Change
0.017 Damaging 2.88 359
24 6,26156932,T,A ENSP00000307705
TCC T[T/A]C AAA
105 F Y Single AA Change
0.025 Damaging 2.88 358
25 6,26156757,G,C ENSP00000307705
AAA [G/C]CT GTT
47 A P Single AA Change
0.001 Damaging 2.87 353
26 6,26156791,C,T ENSP00000307705
GTA T[C/T]T TTG
58 S F Single AA Change
0 Damaging 2.87 359
27 6,26157204,C,T ENSP00000307705
AAA [C/T]CC AAG
196 P S Single AA Change
0.158 Tolerated 3.16 33
28 6,26156925,G,A ENSP00000307705
TCG [G/A]GT TCC
103 G S Single AA Change
0.001 Damaging 2.87 356
29 6,26156752,C,T ENSP00000307705
ATT A[C/T]T AAA
45 T I Single AA Change
0.23 Tolerated 2.87 354
30 6,26157213,G,A ENSP00000307705
GCG [G/A]CT AAA
199 A T Single AA Change
0.559 Tolerated 3.18 31
31 6,26156926,G,C ENSP00000307705
TCG G[G/C]T TCC
103 G A Single AA Change
0.035 Damaging 2.87 356
Supplementary table 6Multivariate cox-regression model for overall survival in Myeloma XI patients
P Hazard ratio 95% CI for Hazard ratio
Lower UpperAny adverse translocation
0.165 1.418 0.867 2.321
Del17p 0.000 3.611 2.244 5.812Age > 70 0.122 1.377 0.918 2.067KDM6A mut/del
0.130 1.832 0.836 4.013
DNA meth mut
0.023 2.470 1.134 5.380
ISS 0.003ISS 2 0.409 1.277 0.714 2.284ISS 3 0.002 2.299 1.358 3.8921q+ 0.0391q+ gain 0.327 1.262 0.792 2.010 1q+ amplification
0.011 2.127 1.189 3.802
DNA meth mut = Mutation in any DNA methylation modifier, KDM6A mut/del = Mutation or deletion in KDM6A
Supplementary table 7 Percentage of patients with mutations in genes encoding epigenetic modifiers sequenced in both the MYXI and UAMS datasets (as shown in Supplementary table 4)
MyXI(n=463)
UAMS(n=156)
n % n %
Any epigenetic modifier 116 25 69 44
Core/linker histonesAny 38 8.21 12 7.69
Any Histone 1: 27 5.83 8 5.13HIST1H1C 12 2.59 3 1.92HIST1H1D 3 0.65 2 1.28HIST1H1E 13 2.81 3 1.92
Any Histone 2A: 7 1.51 5 3.21HIST1H2AC 2 0.43 0 0.00HIST1H2AG 4 0.86 1 0.64HIST1H2AL 0 0.00 2 1.28HIST1H2AM 1 0.22 2 1.28
Any Histone 2B: 2 0.43 1 0.64HIST1H2BC 1 0.22 1 0.64HIST1H2BJ 1 0.22 0 0.00HIST1H2BK 0 0.00 0 0.00HIST1H2BO 0 0.00 0 0.00
Any Histone 3: 2 0.43 0 0.00HIST1H3B 2 0.43 0 0.00
Histone methyltransferasesAny 32 6.91 26 16.67DOT1L 3 0.65 1 0.64EED 0 0.00 0 0.00EZH2 0 0.00 0 0.00MEN1 0 0.00 0 0.00MLL (any) 21 4.54 18 11.54MLL 8 1.73 2 1.28MLL2 6 1.30 6 3.85MLL3 7 1.51 10 6.41NSD1 0 0.00 4 2.56WHSC1 2 0.43 0 0.00SETD2 6 1.30 4 2.56SUZ12 1 0.22 0 0.00
Histone demethylasesAny 14 3.02 3 1.92KDM2B 1 0.22 0 0.00KDM4C 3 0.65 0 0.00KDM5A 3 0.65 1 0.64KDM5C 2 0.43 1 0.64KDM6A 6 1.30 1 0.64
Histone deacetylasesAny 3 0.65 2 1.28HDAC1 0 0.00 0 0.00HDAC4 2 0.43 2 1.28HDAC7 1 0.22 0 0.00
Histone acetyltransferasesAny 11 2.38 11 7.05CREBBP 3 0.65 6 3.85EP300 6 1.30 3 1.92
KAT6A/MYST3 2 0.43 1 0.64TAF1 0 0.00 1 0.64
DNA modifiersAny 9 1.94 13 8.33DNMT3A 2 0.43 8 5.13IDH1 1 0.22 2 1.28IDH2 1 0.22 0 0.00TET2 5 1.08 4 2.56
Chromatin Assembly and RemodellingAny 25 5.40 11 7.05ARID1A 6 1.30 2 1.28ARID2 6 1.30 2 1.28ASXL1 0 0.00 0 0.00ATRX 2 0.43 1 0.64
CHD2 7 1.51 1 0.64PBRM1 2 0.43 1 0.64SMARCA1 0 0.00 0 0.00SMARCA4 1 0.22 4 2.56SMARCB1 1 0.22 0 0.00
ReadersAny 2 0.43 1 0.64BRD4 0 0.00 1 0.64CTCF 2 0.43 0 0.00
Supplementary Figure 1Epigenetic genes mutated in ≥5/463 patients (>1%) in Myeloma XI dataset – location of mutation with respect to protein functional domains. (except Histone 1 genes which are shown in figure 1)
The sites of mutation are indicated by the markers with red dots indicating missense mutations, blue dots nonsense mutations, yellow dots splice site mutations and purple dots frameshift mutations.
Supplementary Figure 2Translocation subgroup distribution by presence or absence of epigenetic modifier mutation in the Myeloma XI dataset
Patien
ts with
out any e
pigeneti
c modifier
mutations
Patien
ts with
any e
pigeneti
c modifier
mutations
0
20
40
60
80
100
None/UTD16 or 201164%
of p
atien
ts
There was a slightly higher proportion of patients with a MAF translocation (t(14;16) or t(14;20)) in the patients with any epigenetic modifier mutation 15/246 (6.1%) vs 6/216 (2.8%). This did not reach statistical significance in this dataset (z test of proportions). UTD: Unable to determine, 4: t(4;14), 6: t(6;14), 11: t(11;14), 16 or 20:t(14;16) or t(14;20)
Supplementary Figure 3Survival curves for Histone 1 mutations in Myeloma XI dataset
Kaplan-Meier curves showing MyXI patients with a mutation in a gene encoding one of the Histone 1 protein variants, (HIST1H1B-E). (n=28, dashed) and those without (n=435, solid). Progression-free survival median mutated 21.2 months vs wild type 26.6 months (logrank p = 0.609). Overall survival medians not reached, (logrank p = 0.684)
Supplementary Figure 4A comparison of the variant allele frequency between the MyXI and UAMS mutations
The variant allele frequency was compared for all genes sequenced in the UAMS dataset (those in supplementary table 3), by class of epigenetic modifier and then by individual genes (where there were at least 2 mutated samples in each dataset). Myeloma XI samples are shown in blue and UAMS in red. The bars shows the mean and standard error of the mean of the variant allele frequency (%). Unpaired t-tests with multiple test correction (Holm-Sidak method) were performed to compare the mean values between the MyXI and UAMS samples. No statistically significant differences were found.
Supplementary Figure 5The distribution of mutations in epigenetic modifiers in previously treated patients by GEP70 risk score.
Core/linker h
istones
Histone m
ethyltransfe
rases
Histone demethyla
ses
Histone deace
tylase
s
Histone ace
tyltra
nsferase
s
Readers
Chromatin Assembly
and Remodelling
DNA methyla
tion modifiers
Any epigenetic m
odifier0
10
20
30
40
50
60
GEP70 high risk
GEP70 low risk
% o
f pati
ents
with
in e
ach
risk
grou
p w
ith a
mut
ation
in e
ach
class
of e
pige
entic
mod
ifier
Bar chart showing the percentage of patients within each risk score with a mutation in a gene encoding the indicated type of epigenetic modifier, in the UAMS F1 dataset. Total number of patients with a high risk GEP70 score = 53/156, low risk GEP70 score = 103/156. The number of patients within each risk group with a mutation in each epigenetic modifier is expressed as a percentage of the total number of patients within each risk group. Z score test of proportions did not show any statistically significant differences between groups.
Supplementary Figure 6A comparison of the UAMS molecular subgroup distribution by presence of epigenetic modifier mutations in previously treated patients
Patients with no epigenetic mod-ifier mutations (n=87)
LBHYCD2CD1PRMFMS
Patients with any epigenetic modifier mutation (n=69)
LBHYCD2CD1PRMFMS
A comparison of the UAMS molecular subgroup distribution for patients without (left) and with (right) epigenetic modifier mutations. Comparison of proportions between the groups demonstrated a difference in the proportion of patients in the PR subgroup depending on presence or absence of mutation (No mut 45/87, 29%, With mut 26/69, 38%, Z-score P=0.03) which does not remain significant following multiple test correction (Bonferroni method).