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Host immune genetic variations influence the risk of developing acute myeloid leukaemia : results from the NuCLEAR consortium

Abstract

The purpose of this study was to conduct a two-stage case control association study including 654 acute myeloid leukaemia (AML) patients and 3477 controls ascertained through the NuCLEAR consortium to evaluate the effect of 27 immune-related single nucleotide polymorphisms (SNPs) on AML risk. In a pooled analysis of cohort studies, we found that carriers of the IL13rs1295686A/A genotype had an increased risk of AML (PCorr = 0.0144) whereas carriers of the VEGFArs25648T allele had a decreased risk of developing the disease (PCorr = 0.00086). In addition, we found an association of the IL8rs2227307 SNP with a decreased risk of developing AML that remained marginally significant after multiple testing (PCorr = 0.072). Functional experiments suggested that the effect of the IL13rs1295686 SNP on AML risk might be explained by its role in regulating IL1Ra secretion that modulates AML blast proliferation. Likewise, the protective effect of the IL8rs2227307 SNP might be mediated by TLR2-mediated immune responses that affect AML blast viability, proliferation and chemorresistance. Despite the potential interest of these results, additional functional studies are still warranted to unravel the mechanisms by which these variants modulate the risk of AML. These findings suggested that IL13, VEGFA and IL8 SNPs play a role in modulating AML risk.

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Host immune genetic variations influence the risk of developing acute myeloid leukaemia : results from the NuCLEAR consortium

Author: Sánchez-Maldonado, J. M.,Campa, D.,Springer, J.,Badiola, J.,Niazi, Y.,Moñiz-Díez, A.,Hernández-Mohedo, F.,González-Sierra, P.,Ter Horst, R.,Macauda, A.,Brezina, S.,Cunha, C.,Lackner, M.,López-Nevot, M. A.,Fianchi, L.,Pagano, L.,López-Fernández, E.,Potenz
Publisher: Springer Nature
Year: 2020
Source: https://repositorio.ulisboa.pt/bitstream/10451/46302/1/NuCLEAR_consortium.pdf
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75
h ps://doi.o g/10.1038/s41408-020-00341-y Blood Cance Jou nal
ARTICLE Open Access
Hos immune gene ic a ia ions influence he isk
o de eloping acu e myeloid leukaemia: esul s
om he NuCLEAR conso ium
J. M. Sánchez-Maldonado
1,2,3
,D.Campa
4
, J. Sp inge
5
, J. Badiola
2,3
,Y.Niazi
6,7,8
, A. Moñiz-Díez
1,2,3
,
F. He nández-Mohedo
2,3
,P.González-Sie a
2,3
,R.Te Ho s
9
,A.Macauda
4,10
,S.B ezina
11
,C.Cunha
12,13
,M.Lackne
14
,
M. A. López-Ne o
15
, L. Fianchi
16
,L.Pagano
17
, E. López-Fe nández
2,3
,L.Po enza
17
,M.Luppi
17
,L.Mo a alla
2,3
,
J. J. Rod íguez-Se illa
18
,J.E.Fonseca
19,20
,M.To mo
21
,C.Solano
21
,E.Cla e o
2
, A. Rome o
2
,Y.Li
9,22
, C. Lass-Flö l
14
,
H. Einsele
5
,L.Vazquez
23
,J.Loe fle
5
,K.Hemminki
6,24,25
,A.Ca alho
12,13
,M.G.Ne ea
9,26
,A.Gsu
11
,C.Dumon e
27
,
F. Canzian
10
,A.Fö s i
6,7,8
,M.Ju ado
1,2,3
and J. Sainz
1,2,3,28
Abs ac
The pu pose o his s udy was o conduc a wo-s age case con ol associa ion s udy including 654 acu e myeloid
leukaemia (AML) pa ien s and 3477 con ols asce ained h ough he NuCLEAR conso ium o e alua e he e ec o 27
immune- ela ed single nucleo ide polymo phisms (SNPs) on AML isk. In a pooled analysis o coho s udies, we ound
ha ca ie s o he IL13
s1295686A/A
geno ype had an inc eased isk o AML (P
Co
=0.0144) whe eas ca ie s o he
VEGFA
s25648T
allele had a dec eased isk o de eloping he disease (P
Co
=0.00086). In addi ion, we ound an
associa ion o he IL8
s2227307
SNP wi h a dec eased isk o de eloping AML ha emained ma ginally significan a e
mul iple es ing (P
Co
=0.072). Func ional expe imen s sugges ed ha he e ec o he IL13
s1295686
SNP on AML isk
migh be explained by i s ole in egula ing IL1Ra sec e ion ha modula es AML blas p oli e a ion. Likewise, he
p o ec i e e ec o he IL8
s2227307
SNP migh be media ed by TLR2-media ed immune esponses ha a ec AML blas
iabili y, p oli e a ion and chemo esis ance. Despi e he po en ial in e es o hese esul s, addi ional unc ional s udies
a e s ill wa an ed o un a el he mechanisms by which hese a ian s modula e he isk o AML. These findings
sugges ed ha IL13,VEGFA and IL8 SNPs play a ole in modula ing AML isk.
In oduc ion
Acu e Myeloid Leukaemia (AML) is a common hae-
ma ological malignancy cha ac e ised by he clonal
ans o ma ion o haema opoie ic p ecu so s ha al e
no mal hema opoie ic cell g ow h and di e en ia ion
1
.
Epidemiological s udies sugges ed ha AML onse can be
igge ed by mul iple ac o s including age, sex, li es yle,
exposu e o chemicals and a numbe o blood and con-
geni al diso de s
2
. Howe e , he biological mechanisms
unde lying AML ae iology emain la gely elusi e. E en
hough cy ogene ic analysis ha e allowed he s a ifica ion
o AML pa ien s in o a ou able, in e media e and un a-
ou able classes and has imp o ed ou abili y o p edic
clonal e olu ion and disease p og ession
3
, many AML
pa ien s (~ 45%) ha e a no mal ka yo ype, which sugges s
ha addi ional gene ic al e a ions a e needed o de elop
he disease. Sequencing s udies iden ified genes equen ly
mu a ed in AML, some o which p edic poo p ognosis
(NPM1
w
/FLT3-ITD
high
,RUNX1,ASXL1 and TP53)
4
.
© The Au ho (s) 2020
Open Access This a icle is licensed unde a C ea i e Commons A ibu ion 4.0 In e na ional License, which pe mi s use, sha ing, adap a ion, dis ibu ion and ep oduc ion
in any medium o o ma , as long as you gi e app op ia e c edi o he o iginal au ho (s) and he sou ce, p o ide a link o heC ea i eCommons license, and indica e i
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Co espondence: J Sainz ([email p o ec ed])
1
Genomic Oncology A ea, GENYO, Cen e o Genomics and Oncological
Resea ch: Pfize / Uni e si y o G anada / Andalusian Regional Go e nmen ,
PTS G anada, G anada, Spain
2
Hema ology depa men , Vi gen de las Nie es Uni e si y Hospi al, G anada,
Spain
Full lis o au ho in o ma ion is a ailable a he end o he a icle
These au ho s con ibu ed equally: M. Ju ado, J. Sainz
Blood Cance Jou nal
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Fu he mo e, i is inc easingly e iden ha hos immuni y
migh also be implica ed in AML isk and su i al
5
. AML
blas s ac i a e immunosupp essi e mechanisms o e ade
he immune sys em whe eas immune esponse changes
induced by he gu mic obio a can also influence he an i-
leukaemic e ec s o immune cells
6
. In addi ion, he e fi-
cacy o allogeneic s em cell ansplan a ion (SCT) in
e adica ing AML is linked o he appea ance o he g a -
e sus-leukaemia e ec , media ed by he ecogni ion o
majo his ocompa ibili y an igens p esen in malignan
blas s by T cells
7
. Likewise, he disappea ance o hese
ci cula ing T cells ecognising AML o he loss o cos i-
mula o y (CD28/CD80, ICAM-1/CD11a) o inhibi o y
in e ac ions (PD-1/PDL-1) e en ually leads o elapse
8
and he in usion o dono -de i ed CD8+memo y T cells
induces emission in pa ien s who elapsed ollowing
allogeneic SCT
9
. Conside ing ha a ound wo- hi ds o
AML pa ien s elapse wi hin he fi s 18 mon hs a e
fi s -line he apy, clinical ials a e ying o assess he
e ficacy o immuno he apies in AML and o un a el he
in e play be ween he immune sys em and AML blas s.
Conside ing he aspec s de ailed abo e, he pu pose o
his s udy was o conduc a wo-s age case con ol asso-
cia ion s udy including 654 AML pa ien s and 3477
con ols asce ained h ough he NuCLEAR conso ium
o e alua e whe he 27 single nucleo ide polymo phisms
(SNPs) wi hin he IL4,IL8,IL8RB (CXCR2),IL12A,IL12B,
IL13,IFNG,IFNGR2,CCR5,MIF and VEGFA loci influ-
ence he isk o de eloping AML. We also decided o
in es iga e he co ela ion o selec ed SNPs wi h se um
s e oid ho mone le els and hei ole in modula ing
immune esponses a e s imula ion o whole blood,
pe iphe al mononuclea cells (PBMCs) and mac ophages
wi h lipopolysaccha ide (LPS), phy ohemagglu inin
(PHA), Pam3Cys and CpG.
Ma e ial, subjec s and me hods
S udy design and s udy popula ions
We conduc ed a wo-s age gene ic associa ion s udy o
assess whe he 27 unc ional single nucleo ide poly-
mo phisms (SNPs) wi hin hos immuni y- ela ed genes
could influence AML isk. The disco e y popula ion
consis ed o 2027 Eu opean subjec s (338 AML pa ien s
and 1689 heal hy con ols). AML pa ien s we e diagnosed
by expe ienced clinicians and asce ained h ough he
iN e na ional Conso ium o LEukaemiA Resea ch
(NuCLEAR; Table 1). A se o AML pa ien s we e
ec ui ed om 2 Spanish medical ins i u ions (Vi gen de
las Nie es Uni e si y Hospi al, G anada and Hospi al o
Salamanca, Salamanca), he Uni e si y o Wü zbu g
(Wü zbu g, Ge many) and he Uni e si y o Innsb uck
(Innsb uck, Aus ia)
10
. Heal hy con ols included 667
Spanish blood dono s om he REPAIR conso ium
11
,
1000 Ge man con ols came om he Heinz-Nixdo
Recall (HNR) s udy
12
and 22 dono s o allogeneic s em
cell ansplan a ion om he Medical Uni e si y o
Innsb uck (Innsb uck, Aus ia). In acco dance wi h he
Decla a ion o Helsinki, all s udy pa icipan s p o ided
hei w i en in o med consen o pa icipa e in he s udy
and he e hical commi ees o all pa icipa ing cen es and
hospi als app o ed he s udy.
DNA ex ac ion, SNP selec ion c i e ia and geno yping
Genomic DNA om all indi iduals was ex ac ed om
sali a o blood samples using he O agen®-DNA Sel -
Collec ion ki (O agene) o he Maxwell®16 Blood DNA
Pu ifica ion ki (P omega) acco ding o manu ac u e ’s
ins uc ions. SNP selec ion c i e ia we e based on p e ious
associa ions wi h haema ological malignancies (AML, ALL,
CML, CLL and non-Hodgkin lymphomas) o solid umou s
and clinical ela ed pa ame e s (g a e sus hos disease,
whole blood leucocy e coun s, an h opome ic measu es,
e c.) bu also acco ding o hei unc ionali y in Haplo eg
(h ps://pubs.b oadins i u e.o g/mammals/haplo eg/
haplo eg.php), Regulome (h ps://www. egulomedb.o g/
Table 1 Demog aphic and clinical cha ac e is ics o AML
pa ien s and heal hy con ols.
Demog aphic
cha ac e is ics
Disco e y
Popula ion
(n=2027)
338 AML cases
and 1689
heal hy
con ols
Replica ion
Popula ion
(n=2104)
316 AML cases
and 1788
heal hy
con ols
O e all
Popula ion
(n=4131)
654 AML cases
and 3477
heal hy
con ols
AML cases
Age (yea s) 55.19 ± 15.12 56.91 ± 17.25 56.02 ± 16.20
Sex a io
(male/ emale)
1.13 (179/159) 1.29 (178/138) 1.20 (356/297)
Coun y o o igin
Spain 257 97 354
Ge many 26 74 100
I aly –145 145
Aus ia 55 –55
P esen a ion
de no o (n, %) 324 (95.86) 285 (90.19) 609 (93.12)
Seconda y (n, %) 14 (04.14) 31 (09.81) 45 (06.88)
Heal hy con ols
Age (yea s)* 56.10 ± 9.55 42.76 ± 11.76 49.57 ± 11.33
Sex a io
(male/ emale)
1.07 (871/818) 0.91 (848/937) 0.98 (1719/1754)
Coun y o o igin
Spain 667 507 1174
Ge many 1000 1087 2087
I aly –194 194
Aus ia 22 –22
Da a a e means ± s anda d de ia ion o pe cen age (%). A se o 99 pa ien s (39
and 61 om he disco e y and eplica ion coho s, espec i ely) could no be
classified acco ding o he FAB classifica ion.
AML acu e myeloid leukaemia
*Age was no a ailable in a se o Ge man con ols included in he disco e y
(n=1000) and eplica ion coho s (n=1068).
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75 Page 2 o 11
Blood Cance Jou nal
Table 2 Lis o selec ed ma ke s.
Gene name Gene symbol_SNP dbSNP s# Risk allele Repo ed associa ions wi h haema ological malignancies, solid umou s, pa ien su i al
and di e en clinical pa ame e s (GVHD, blood cell coun s, BMI, e c.)
Re s.
In e leukin 4 (IL4) IL4_-1098 s2243248 G Associa ed wi h inc eased isk o T-cell lymphomas and HBV eac i a ion in i uximab- ea ed
pa ien s wi h non-Hodgkin lymphoma (NHL)
1,2
IL4_IVS2-1443 s2243268 C Associa ed wi h IL4 le els in whole blood and o he issues. Maps among p omo e his one
ma ks in bone ma ow de i ed mesenchymal s em cells.
3
In e leukin 8 (IL8) IL8_-251 s4073 A Associa ed wi h NHL isk and p edic o o su i al in ollicula lymphoma. Associa ed wi h IL8 a
bo h ansc ip ional and ansla ional le els and wi h inc eased ansmig a ion o p ima y
neu ophils. Maps among p omo e and enhance his one ma ks in mul iple p ima y immune
cells, hema opoie ic s em cells and bone ma ow de i ed cul u ed mesenchymal s em cells.
Regulome sco e 2b.
4–7
IL8_ IVS1 +230 (+396) s2227307 G Associa ed wi h IL8 a bo h ansc ip ional and ansla ional le els and wi h inc eased
ansmig a ion o p ima y neu ophils. Associa ed wi h ollicula lymphoma pa ien su i al
6,7
CXC-Chemokine ecep o 2 (IL8RB) CXCR2_Ex3-1010 s1126580 G Associa ed wi h CXCR2 and CXCR1 le els in whole blood (GTEx). Associa ed wi h sho e su i al
in di use la ge B-cell lymphoma and suscep ibili y o bile duc cance
8,9
In e leukin 12 alpha (IL12A) IL12A_Ex7 +277 s568408 A Binding mo i s o TFE and SIX5
In e leukin 12 be a (IL12B) IL12B_Ex8 +159 (+1188) s3212227 C Associa ed wi h isk o solid umou s and su i al o ollicula lymphoma pa ien s
5,10
In e leukin 13 (IL13) IL13_-1069 s1800925 T Associa ed wi h suscep ibili y o glioma, glioblas oma mul i o me and CRC and an inc eased isk
o leukopenia in me as a ic enal cell ca cinoma pa ien s. Regulome sco e 2b
11–13
IL13_Ex4 +98 s20541 T Associa ed wi h suscep ibili y o mul iple cance s including NHL, CRC and glioma. Associa ed
wi h adia ion-induced oxici y ollowing ea men o non-small cell lung cance . Regulome
sco e 3a
11,14–17
IL13_IVS3-24 s1295686 A HBV eac i a ion in i uximab- ea ed pa ien s wi h NHL. Regulome sco e 3a
2
In e e on gamma (IFN-γ) IFNG_-1615 s2069705 C Cy ogene ic and molecula esponse wi h Ima inib in CML pa ien s
18
IFNG_IVS3 +284 (+2109) s1861494 C Cy ogene ic and molecula esponse wi h Ima inib in CML pa ien s
18
In e e on gamma ecep o 2 (IFN-γR2) IFNGR2_Ex7-128 s1059293 T Associa ed wi h B eas cance isk. Regulome sco e 1
19
IFNGR2_Ex2-16 s9808753 G Associa ed wi h IFNGR2 le els in whole blood (GETx) and isk o NHL
17
C-C chemokine ecep o ype 5 (CCR5) CCR5_IVS1 +246 s1799987 G Associa ed wi h CCR2 le els in whole blood (GTEx) and wi h a mo e a ou able MRD s a us in
child en wi h B-p ecu so acu e lymphoblas ic leukaemia (ALL). Regulome sco e 3a
20
CCR5_IVS1 +151 s2734648 T Associa ed wi h CCR1, CCR2 and CCR5 le els in whole blood (GTEx). Regulome sco e 3a
21,22
Mac ophage mig a ion inhibi o y
ac o (MIF)
MIF_-173 s755622 G
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75 Page 3 o 11
Blood Cance Jou nal
Table 2 con inued
Gene name Gene symbol_SNP dbSNP s# Risk allele Repo ed associa ions wi h haema ological malignancies, solid umou s, pa ien su i al
and di e en clinical pa ame e s (GVHD, blood cell coun s, BMI, e c.)
Re s.
Associa ed wi h MIF and MIF-AS1 le els in whole blood (GTEx). Associa ed wi h solid and non-
solid umou s such as childhood ALL. Maps nea mul iple p omo e and enhance his one ma ks
in mul iple issues and all immune cell ypes and hema opoie ic s em cells.
Vascula Endo helial G ow h Fac o
alpha (VEGFα)
VEGFA_-2578 s699947 A Associa ed wi h disease p og ession in ch onic myeloid leukaemia (CML) and an inc eased isk o
hy oid cance and me as asis in men. Associa ed wi h su i al in ad anced-s age non-small-cell
lung cance . Regulome sco e 2b
23–25
VEGFA_-7 s25648 T Associa ed wi h p ognosis in AML and CLL pa ien s. Associa ed wi h he isk o de eloping acu e
GVHD a e allogeneic-s em cell ansplan a ion. Associa ed wi h he isk o de eloping solid
umou s such as bladde cance and su i al o pa ien s wi h enal cell ca cinoma. Maps nea
mul iple p omo e and enhance his one ma ks in mul iple issues and all immune cell ypes and
hema opoie ic s em cells.
26–29
VEGFA_IVS2 +1378 s3024994 T Associa ed wi h a educed isk o bladde cance . Mul iple p omo e his one ma ks in immune
cells and hema opoie ic s em cells.
26
VEGFA_IVS7-919 s3025035 T Associa ed wi h ecu ence o hepa ocellula ca cinoma a e ansplan a ion and su i al o
pa ien s wi h non-small cell lung cance . Regulome sco e 3a
30,31
VEGFA_6112 s2146323 A Al e s a binding si e o P53. Regulome sco e 2b
VEGFA_IVS-99 s3024997 A Associa ed wi h VEGFA mRNA exp ession in human monocy es
32
VEGFA_IVS7 +763 s3025030 C Maps nea enhanced his one ma ks in 9 issues
VEGFA_5530 s998584 T Associa ed wi h whole blood leukocy e coun , adiponec in, HDL choles e ol and iglyce ides
le els. Associa ed wi h BMI and wais ci cum e ence
33,34
VEGFA_5958bp 3’o STP s6899540 C Maps nea enhanced his one ma ks in mul iple immune cell ypes including p ima y monocy es,
p ima y B cells, NK cells, neu ophils, hema opoie ic s em cells and bone ma ow de i ed
mesenchymal s em cells. Al e s binding o 7 mo i s (AP-1, BCL, Nkx2, Pax5…).
VEGFA_6119bp 3’o STP s6900017 T Maps nea enhanced his one ma ks in mul iple immune cell ypes including p ima y monocy es,
p ima y B cells, hema opoie ic s em cells and bone ma ow de i ed mesenchymal s em cells.
Al e s binding o 11 mo i s (AP-1, p300, HDAC2, NFAT,…).
eQTL da a we e ga he ed om he GTEx po al (h ps://g expo al.o g/home/) and Wes a e al.
45
. Regulome sco e 1 (Eq l +TF binding/DNase peak), 2b (TF binding+any mo i +DNase Foo p in +DNase peak) and 3a (TF
binding+any mo i +DNase peak) we e conside ed as selec ion c i e ia. Re e ences a e included as Supplemen a y Ma e ial.
SNP single nucleo ide polymo phisms, Allo-SCT allogeneic s em cell ansplan a ion, OR odds a io, CI confidence in e al, NHL non-Hodgkin lymphoma, CML ch onic myeloid leukaemia, CRC colo ec al cance , AIDS acqui ed
immune deficiency synd ome.
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75 Page 4 o 11
Blood Cance Jou nal
egulome-sea ch/), Blood eQTL b owse s (h ps://gene-
ne wo k.nl/bloodeq lb owse / and h ps://g expo al.o g/
home/index.h ml), and linkage disequilib ium alues (Table
2and Supplemen a y Fig. 1). Geno yping was pe o med
using KASP®p obes (LGC Genomics, Hoddesdon, UK)
acco ding o p e iously epo ed p o ocols
13
. Fo quali y
con ol, ∼5% o DNA samples we e andomly included as
duplica es and conco dance be ween duplica e samples was
≥99.0%. AML cases and con ols we e andomly dis ibu ed
in 384-well pla es and he pe son doing geno yping
expe imen s did no know how AML cases and con ols
we e dis ibu ed.
S a is ical analysis
De ia ion om Ha dy-Weinbe g Equilib ium (HWE)
was es ed in he con ols by chi-squa e (χ
2
). Logis ic
eg ession adjus ed o sex and coun y o o igin was used
o assess he associa ions o he SNPs wi h AML isk
assuming log-addi i e, dominan and ecessi e models.
Acco ding he M
e
me hod
14
, 24 o 27 SNPs we e inde-
penden and, consequen ly, he s udy-wide significan
h eshold was se o 0.0007 (0.05/24SNPs/3models). S a-
is ical powe was calcula ed using Quan o ( .12.4)
assuming a log-addi i e model o inhe i ance.
Replica ion coho
Fo eplica ion pu poses, he mos ele an findings
(P< 0.05) we e eplica ed in a coho o 2104 subjec s (316
AML cases and 1788 heal hy con ols). AML cases we e
ec ui ed om an independen Spanish medical ins i u-
ion (Hospi al Gene al o Valencia, Valencia, Spain), om
he Uni e si y Hospi al o Wü zbu g (Ge many) and om
wo I alian medical ins i u ions (Uni e si à Ca olica del
Sac o Cuo e, Rome and Uni e si y o Modena and Reggio
Emilia, AOU Policlinico, Modena) be ween 2015 and
2017. Fi e hund ed and se en Spanish con ols we e
blood dono s ec ui ed om he Blood T ans usion
Cen e (CRTS, G anada-Alme ía), 194 I alian con ols
om he REPAIR conso ium, 1068 Ge man con ols
om a second and independen se o he Heinz-Nixdo
Recall (HNR) s udy (Uni e si y Hospi al o Essen) and 19
dono s o allogeneic s em cell ansplan a ion om he
Uni e si y o Wü zbu g (Ge many). The e hical com-
mi ees o hese cen es app o ed he s udy.
Func ional analysis o he hos immune- ela ed a ian s
In o de o de e mine he biological unc ion o he
mos ele an SNPs, cy okine p oduc ion in esponse o
s imula ion was measu ed in he 500 Func ional Geno-
mics coho om he Human Func ional Genomics P o-
jec (HFGP; h p://www.human unc ionalgenomics.o g/).
The A nhem-Nijmegen E hical Commi ee app o ed
he s udy (42561.091.12) and biological specimens we e
collec ed a e in o med consen was ob ained. We
in es iga ed whe he any SNP was co ela ed wi h cy o-
kine le els (IFNγ, IL1Ra, IL1β, IL6, IL8, IL10, TNFα, IL17,
and IL22) a e s imula ion o pe iphe al blood mono-
nuclea cells (PBMCs), whole blood o monocy e-de i ed
mac ophages om 408 heal hy subjec s wi h LPS (1 o
100 ng/ml), PHA (10 μg/ml), Pam3Cys (10 μg/ml), and
CpG (100 ng/ml). A e log ans o ma ion, linea
eg ession analyses adjus ed o age and sex we e used o
de e mine he co ela ion o selec ed SNPs wi h cy okine
exp ession quan i a i e ai loci (cQTLs). All analyses
we e pe o med using R so wa e (www. -p ojec .o g/). In
o de o accoun o mul iple compa isons, we used a
significan h eshold o 0.00006, i.e., he quo ien o 0.05/
(24 independen SNPs × 9 cy okines × 4 cell s imulan s).
De ailed p o ocols o PBMCs isola ion, mac ophage
di e en ia ion and s imula ion assays ha e been epo ed
elsewhe e
15–17
. B iefly, PBMCs we e washed wice in
saline and suspended in medium (RPMI 1640) supple-
men ed wi h gen amicin (10 mg/ml), L-glu amine
(10 mM) and py u a e (10 mM). PBMC s imula ions we e
pe o med wi h 5×10
5
cells/well in ound-bo om 96-
wells pla es (G eine ) o 24 h in he p esence o 10%
human pool se um a 37 °C and 5% CO
2
. Supe na an s
we e collec ed and s o ed in −20 °C un il used o ELISA.
LPS (100 ng/ml), PHA (10μg/ml) and Pam3Cys (10 μg/
ml) and CpG (100 ng/ml) we e used as s imula o s o 24
o 48 h. Whole blood s imula ion expe imen s we e
conduc ed using 100 μl o hepa in blood ha was added
o a 48 well pla e and subsequen ly s imula ed wi h 400 μl
o LPS and PHA (final olume 500ul) o 48 h a 37 °C and
5% CO
2
. Supe na an s we e collec ed and s o ed in
−20 °C un il used o ELISA. Concen a ions o human
TNFα, IFNγ, IL1β, IL1RA, IL6, IL8, IL10, IL17, and IL22
we e de e mined using specific comme cial ELISA ki s
(PeliKine Compac , Ams e dam, o R&D Sys ems), in
acco dance wi h he manu ac u e ’s ins uc ions.
Co ela ion be ween s e oid ho mone le els and
immuno egula o y SNPs
Gi en he impac o s e oid ho mones in modula ing
immune esponses, we also e alua ed he co ela ion o
SNPs wi h se um le els o 7 s e oid ho mones (and os-
enedione, co isol, 11-deoxy-co isol, 17-hyd oxy p o-
ges e one, p oges e one, es os e one and 25 hyd oxy
i amin D3) in a subse o subjec s wi hou ho monal
eplacemen he apy o o al con acep i es (n=280).
Comple e p o ocol de ails ha e been epo ed else-
whe e
17
. S e oid ho mones we e analysed by liquid
ch oma og aphy andem–mass spec ome y (LC–MS)
a e p o ein p ecipi a ion and solid-phase ex ac ion as
desc ibed in Te Ho s e al.
17
(see also Supplemen a y
Ma e ial). Ho mone le els and geno yping da a we e
a ailable o a o al o 406 subjec s. A e log ans o -
ma ion, co ela ion be ween SNPs and se um s e oid
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75 Page 5 o 11
Blood Cance Jou nal

ho mone le els was e alua ed using linea eg ession
adjus ed o age and sex in R (h p://www. -p ojec .o g/).
Significance h esholds we e se o 0.0003 (0.05/24 inde-
penden SNPs/7 ho mones).
Resul s
This s udy was conduc ed in a disco e y popula ion
comp ised o 338 AML pa ien s and 1689 heal hy con-
ols. AML pa ien s had a simila age han con ols (55.19
±15.12 s. 56.91±17.25) and showed a sligh ly inc eased
male/ emale a io compa ed o heal hy con ols (1.13
[179/159] s. 1.07 [871/818]. Nine y fi e pe cen o he
pa ien s had de no o AML whe eas he emaining 5%
p esen ed seconda y disease e ol ing om a p eceding
dysplasia (Table 1).
The associa ion analysis o he disco e y popula ion
e ealed ha 11 immuno egula o y SNPs we e associa ed
wi h AML isk (P< 0.05; Table 3). We ound ha ca ie s
o he IFNGR2
s1059293T
allele o he IL4
s2243248G/G
,
IL13
s20541T/T
,IL13
s1295686A/A
and VEGFA
s998584T/T
gen-
o ypes showed an inc eased isk o de eloping he disease
(OR
Dom
=1.51, P=0.0074; OR
Rec
=4.33, P=0.012;
OR
Rec
=1.98, P=0.028; OR
Rec
=2.16, P=0.012; and
OR
Rec
=1.40, P=0.034). In addi ion, we obse ed ha
each copy o he IL4
s2243268C
allele was associa ed wi h a
1.31- old inc eased isk o AML (OR
Add
=1.31, P=0.042).
On he o he hand, we ound ha ca ie s o he
IL8
s2227307G
and VEGFA
s25648T
alleles had a significan ly
dec eased isk o AML (OR
Dom
=0.70, P=0.012 and
OR
Dom
=0.42, P=0.00002) whe eas each copy o he
IL8
s4073A
,CCR5
s1799987G
,CCR5
s2734648T
alleles was asso-
cia ed wi h ~ 20–25% dec eased isk o AML (OR
Add
=
0.81, P=0.020; OR
Add
=0.82, P=0.043 and OR
Add
=0.75,
P=0.0044). E en hough only he associa ion o he
VEGFA
s25648
SNP wi h a dec eased isk o de eloping AML
emained significan a e co ec ion o mul iple es ing in
he disco e y coho (P
Co
=0.0014), we ound ha he
associa ion o IL8
s2227307
and IL13
s1295686
wi h AML isk
was confi med in he eplica ion popula ion (OR
Dom
=0.74,
P=0.040 and OR
Dom
=2.24, P=0.0051, espec i ely;
Table 3). The pooled analysis including 4131 subjec s (654
AML cases and 3477 con ols) confi med ha ca ie s o
he IL13
s1295686
geno ype had a significan ly inc eased isk
o AML (OR
Rec
=2.18, P=0.0002, P
Co
=0.0144) whe eas
ca ie s o he IL8
s2227307G
allele had a dec eased isk o
de eloping he disease ha emained ma ginally significan
a e co ec ion o mul iple es ing (OR
Dom
=0.72, P=
0.0010, P
Co
=0.072). In e es ingly, al hough i was no
s a is ically significan in he eplica ion popula ion likely
due o he ela i ely limi ed powe , he pooled analysis also
e ealed a s ong associa ion o he VEGFA
s25648T
allele
wi h a dec eased isk o AML ha la gely su passed he
s ingen s udy-wide significan h eshold (OR
Dom
=0.60,
P=0.0000012, P
Co
=0.00086; Table 3).
In an e o o de e mine he unc ional ele ance o hese
polymo phisms, we pe o med in i o s imula ion
expe imen s in a la ge coho o heal hy dono s o in es-
iga e whe he IL8,IL13 and VEGFA SNPs could co ela e
wi h le els o IFNγ,IL1Ra,IL1β, IL6, IL8, IL10, TNFα,
IL17, and IL22 a e s imula ion o PBMCs, whole blood o
monocy e-de i ed mac ophages wi h LPS, PHA, Pam3Cys,
and CpG. These expe imen al s udies e ealed ha ca ie s
o he IL8
s2227307T
allele had inc eased le els o IL1βa e
he s imula ion o PBMCs wi h Pam3Cys (P=0.00058;
Fig. 1a). Al hough his associa ion did no su i e mul iple
es ing co ec ion, hese esul s sugges ed ha his a ian
migh ha e an impac on AML isk h ough he modula-
ion o TLR2-immune esponses. In suppo o a unc ional
ole o he IL8
s2227307
SNP in AML, i has been also
epo ed ha his SNP ep esen s an eQTL o PF4V
(Fig. 1b), a locus in ol ed in chemokine-media ed immune
esponses. In e es ingly, al hough i nei he eached s a-
is ical significance a e mul iple es ing co ec ion, we also
ound a nega i e co ela ion be ween he IL13
s1295686A
allele and le els o IL1Ra a e s imula ion o PBMCs wi h
LPS (P=0.002; Fig. 1c), which sugges ed ha he IL13
locus migh play a ole in he pa hogenesis o AML likely
h ough he modula ion o IL1Ra-media ed immune
esponses. No co ela ion be ween selec ed SNPs and
se um s e oid ho mone le els was ound sugges ing ha
he unc ional e ec o hese ma ke s on he immune
esponses was no media ed by s e oid ho mones.
Discussion
AML has been he objec o in es iga ions ha ha e
demons a ed ha hos immuni y con ibu es o disease
suscep ibili y. This s udy epo s o he fi s ime an
associa ion o he IL13
s1295686
,IL8
s2227307,
and VEG-
FA
s25648
polymo phisms wi h AML isk. The associa ion
o he IL13 and VEGFA SNPs wi h AML isk emained
significan a e mul iple es ing co ec ion, whe eas he
associa ion o IL8
s2227307
was no significan bu close o
he mul iple es ing significance h eshold. These esul s
sugges ed ha he IL13,VEGFA and IL8 loci migh be
suscep ibili y ma ke s o AML.
The IL13 gene is loca ed on ch omosome 5q31 and
encodes o IL13, an immuno egula o y cy okine wi h
pleio opic unc ions. Se e al SNPs ( s20541, s18000925
and s1295686) wi hin his gene ha e been consis en ly
associa ed, a GWAS le el, wi h immune- ela ed dis-
eases
18,19
and haema ological malignancies
20
. In his
wo-s age case con ol associa ion s udy we ound a
consis en and s a is ically significan associa ion o he
IL13
s1295686A/A
geno ype wi h an inc eased isk o
de eloping AML ha sugges ed a ole o his locus in he
pa hogenesis o he disease. Mechanis ically, we obse ed
a nega i e co ela ion be ween he IL13
s1295686A
allele
and IL1Ra le els a e s imula ion o PBMCs wi h LPS
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75 Page 6 o 11
Blood Cance Jou nal
Table 3 Associa ion o immuno egula o y SNPs and isk o de eloping acu e myeloid leukaemia.
Gene name dbSNP s# Gene symbol_SNP Risk allele Disco e y Popula ion
(n=2027)
338 AML cases and 1689
heal hy con ols
P
Co
Replica ion Popula ion
(n=2104)
316 AML cases and 1788
heal hy con ols
O e all Popula ion (n=4131)
654 AML cases and 3477
heal hy con ols
P
Co
OR (95% CI)
a
POR (95% CI)
a
POR (95% CI)
a
P
IL4 s2243248 IL4_-1098 G4.33 (1.37–13.7)
b
0.012 0.864 1.75 (0.31–9.67)
b
0.52 3.09 (1.26–7.58)
b
0.014 1.000
IL4 s2243268 IL4_IVS2-1443 C1.31 (1.01–1.69) 0.042 1.000 0.87 (0.66–1.15) 0.32 1.09 (0.90–1.31) 0.39 1.000
IL8 s4073 IL8_-251 A0.81 (0.67–0.97) 0.020 1.000 0.96 (0.76–1.20) 0.70 0.89 (0.78–1.01) 0.072 1.000
IL8 s2227307 IL8_ IVS1 +230 (+396) G0.70 (0.53–0.92)
c
0.012 0.864 0.74 (0.56–0.99)
c
0.040 0.72 (0.59–0.87)
c
0.0010 0.072
IL8RB s1126580 CXCR2_Ex3-1010 A 0.82 (0.68–1.00) 0.044 1.000 1.05 (0.87–1.27) 0.61 0.95 (0.83–1.09) 0.49 1.000
IL12A s568408 IL12A_Ex7 +277 A 2.48 (1.00–6.15)
b
0.050 1.000 1.07 (0.35–3.32)
b
0.90 1.66 (0.84–3.27)
b
0.14 1.000
IL12B s3212227 IL12B_Ex8 +159 (+1188) C 0.99 (0.79–1.25) 0.96 1.000
IL13 s1800925 IL13_-1069 T 1.01 (0.80–1.28) 0.93 1.000
IL13 s20541 IL13_Ex4 +98 T1.98 (1.08–3.65)
b
0.028 1.000 1.75 (0.90–3.39)
b
0.10 1.89 (1.21–2.94)
b
0.0048 0.346
IL13 s1295686 IL13_IVS3-24 A2.16 (1.19–3.93)
b
0.012 0.864 2.24 (1.27–3.93)
b
0.0051 2.18 (1.45–3.26)
b
0.0002 0.0144
IFNG s2069705 INFG_-1615 C 1.10 (0.90–1.35) 0.34 1.000
IFNG s1861494 INFG_IVS3 +284 (+2109) C 1.19 (0.96–1.47) 0.12 1.000
IFNGR2 s1059293 INFGR2_Ex7-128 T1.51 (1.11–2.05)
c
0.0074 0.533 0.90 (0.67–1.21)
c
0.48 1.16 (0.94–1.43)
c
0.16 1.000
IFNGR2 s9808753 INFGR2_Ex2-16 G 1.05 (0.79–1.41) 0.73 1.000
CCR5 s1799987 CCR5_IVS1 +246 G0.82 (0.67–0.99) 0.043 1.000 0.98 (0.81–1.19) 0.85 0.90 (0.79–1.03) 0.13 1.000
CCR5 s2734648 CCR5_IVS1 +151 T0.75 (0.61–0.92) 0.0044 0.317 1.12 (0.93–1.36) 0.24 0.93 (0.81–1.06) 0.27 1.000
MIF s755622 MIF_-173 G 0.88 (0.67–1.14) 0.32 1.000
VEGFA s699947 VEGFA_-2578 A 1.05 (0.87–1.27) 0.58 1.000
VEGFA s25648 VEGFA_-7 T0.42 (0.29–0.62)
c
0.00002 0.0014 0.79 (0.58–1.06)
c
0.12 0.60 (0.47–0.75)
c
0.000012 0.00086
VEGFA s3024994 VEGFA_IVS2 +1378 T 0.87 (0.59–1.29) 0.49 1.000
VEGFA s3025035 VEGFA_IVS7-919 T 1.08 (0.79–1.48) 0.62 1.000
VEGFA s2146323 VEGFA_6112 A 1.01 (0.82–1.23) 0.95 1.000
VEGFA s3024997 VEGFA_IVS-99 A 1.01 (0.83–1.24) 0.91 1.000
VEGFA s3025030 VEGFA_IVS7 +763 C 0.95 (0.72–1.26) 0.72 1.000
VEGFA s998584 VEGFA_5530 T1.40 (1.03–1.89)
b
0.034 1.000 1.08 (0.80–1.47)
b
0.61 1.24 (1.00–1.54)
b
0.048 1.000
VEGFA s6899540 VEGFA_5958bp 3’o STP C 1.01 (0.77–1.32) 0.93 1.000
VEGFA s6900017 VEGFA_6119bp 3’o STP T 0.94 (0.68–1.30) 0.72 1.000
Associa ion es ima es we e adjus ed o sex and coun y o o igin. P< 0.05 in bold. Co ec ed P- alue was calcula ed by mul iplying he unadjus ed P- alue by he numbe o es s pe o med (n=72, 24 SNPs by 3 inhe i ance
models es ed).
SNP single nucleo ide polymo phisms, OR odds a io, CI confidence in e al.
a
Es ima es we e calcula ed acco ding o an addi i e model o inhe i ance.
b
Es ima es we e calcula ed acco ding o a ecessi e model o inhe i ance.
c
Es ima es we e calcula ed acco ding o a dominan model o inhe i ance.
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75 Page 7 o 11
Blood Cance Jou nal
(P=0.002; Fig. 1c). Al hough his associa ion did no
emain significan a e co ec ion o mul iple es ing,
his finding suppo ed ou gene ic esul s sugges ing a
ole o he IL13
s1295686
SNP in he pa hogenesis o AML.
Conside ing ou esul s bu also hose om an ea ly
epo ha demons a ed ha IL1Ra le els a e dec eased
in AML pa ien s compa ed o con ols
21
, we hypo hesise
ha he e ec o he IL13
s1295686A
allele on AML isk
migh be explained by i s ole in inhibi ing IL1Ra sec e-
ion, likely h ough he inhibi ion o IL1Ra sec e ion om
ei he AML blas s o heal hy cells. In line wi h his
a gumen , i has been consis en ly epo ed ha IL1Ra
inhibi s AML blas p oli e a ion
22
and ha i is associa ed
wi h he immunosupp essi e e ec o he mesenchymal
s em cells (MSCs) in he bone ma ow ha accoun s o
mac ophage pola isa ion ( owa d he M2 pheno ype) and
B cell di e en ia ion and su i al
23
. Al hough a his poin
i is emp ing o specula e ha he IL13
s1295686A
allele,
which co ela es wi h lowe le els o IL1Ra sec e ion,
migh ep esen a bioma ke wi h a po en ial benefi in
AML by an agonising IL1 e ec s on blas p oli e a ion
and blocking inflamma ion, we belie e ha addi ional
unc ional expe imen s a e s ill wa an ed o explain he
exac mechanism by which he IL13
s1295686
a ian
influence he isk o AML.
Ano he in e es ing finding o his s udy was he con-
sis en associa ion o he IL8
s2227307T
allele wi h a
dec eased isk o de eloping AML. Al hough he associa-
ion o he IL8
s2227307
SNP wi h AML isk emained only
ma ginally significan a e mul iple es ing co ec ion, his
finding sugges ed ha he IL8 locus migh play a ole in
he pa hogenesis o AML. The IL8 gene is loca ed on
ch omosome 4q12-q21 and encodes o IL8, a chemokine
mainly p oduced by mac ophages and epi helial cells.
P e ious s udies ha e sugges ed ha he blocking IL8-
CXCR2 pa hway migh ha e a he apeu ic po en ial in a
a ie y o umou s
24–27
including AML and myelodys-
plas ic synd omes (MDS)
28
. Howe e , he ole o IL8 in
AML is s ill sca ce. A ecen s udy has demons a ed ha
IL8 and i s ecep o a e significan ly o e exp essed in
Fig. 1 Func ional impac o he IL8
s2227307
SNP on immune esponses. Co ela ion be ween he IL8
s2227307
SNP and IL1βle els a e s imula ion
o PBMCs (n=408) wi h Pam3Cys (10μg/ml) (a)o PF4V exp ession in pe iphe al blood (b) and co ela ion be ween he IL13
s1295686
SNP wi h IL1Ra
le els a e s imula ion o PBMCs wi h LPS (100ng/ml) (c). Gene exp ession plo om he GTEx po al; h ps://g expo al.o g/home/index.h ml).
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75 Page 8 o 11
Blood Cance Jou nal
AML and MDS pa ien s
28
and ha he exp ession o hese
molecules also co ela es wi h poo ou comes. In addi ion,
i has been epo ed ha he IL8-CXCR2 axis is highly
exp essed in hema opoie ic s em cells and p ogeni o
compa men s in compa ison wi h heal hy con ols
28
and
ha his pa hway plays a key ole in he egula ion o cance
s em cell unc ion
29–31
and mesenchymal s em cell-induced
T cell p oli e a ion. In addi ion, Schinke e al. (2015) ha e
expe imen ally demons a ed ha he inhibi ion o CXCR2
leads o dec eased iabili y and clonogenic capaci y o p i-
ma y cells om AML pa ien s, which poin ed owa ds he
use o IL8-CXCR2 pa hway as no el he apeu ic a ge
28
.In
line wi h ou gene ic da a and he no ion o a ole o he IL8
locus in he pa hogenesis o AML, we ound ha ca ie s o
he IL8
s2227307T
allele had inc eased le els o IL1βa e he
s imula ion o PBMCs wi h Pam3Cys (P=0.00058; Fig. 1a).
These esul s sugges ed ha he p o ec i e e ec o he
IL8
s2227307
SNP on AML isk migh be media ed by TLR2-
induced immune esponses ha a e ini ially egula ing IL1β
sec e ionand,subsequen ly,IL8p oduc ioninawide ange
o pa hological condi ions
32–35
. Gi en ha he co ela ion
o he IL8
s2227307
SNP wi h inc eased le els o IL1βdid no
each he significance h eshold a e co ec ion o mul i-
ple es ing, we need o in e p e hese esul s wi h cau ion.
None heless, i wo h men ioning ha hey we e in ag ee-
men wi h p e ious s udies showing ha TLRs a e
exp essed in mul iple AML cell lines and p ima y AML
samples
36
and ha s imula ion o TLR2 in no mal hema-
opoie ic cells led o di e en ia ion and p oli e a ion o
hema opoie ic s em cells and myeloid p ogeni o cells.
Fu he mo e, ano he s udy p oposed a TLR2-binding cell-
pene a ing pep ide as a p omising candida e o a ge ed
d ug de elopmen in AML
37
.Inaddi ion o hesefindings,
IL8
s2227307
hasbeenalso epo ed obeaneQTL o PF4V
(Fig. 1b), a locus in ol ed in chemokine-media ed immune
esponses. These esul s sugges ha he IL8
s2227307
poly-
mo phism migh also influence he isk o AML h ough
chemo axis s imula ion in he mic oen i onmen o he
bone ma ow (BM). In line wi h his no ion, i has been
demons a ed ha IL8 is a hypoxia- egula ed cy okine ha
p omo es mig a ion in mesenchymal s omal cells in he
BM
38
and ha bo h endogenous and hypoxia-induced
p oduc ion o IL8 was highe in AML cases compa ed o
con ols and was p ognos ically un a ou able
38
.Amo e
ecen s udy has also sugges ed ha IL8 blockade migh be
used as new he apeu ic s a egy o AML, as i p e en s
ac i a ed endo helial cell media ed p oli e a ion and
chemo esis ance
39
.
Finally, e en hough we did no find any unc ional e ec
o he VEGFA
s25648
SNP o modula e immune esponses,
ou gene ic findings a e in line wi h p e ious s udies
epo ing an inc eased ascula i y and VEGFA le els in
AML pa ien s, and a specific VEGFA-dependen ascula
mo phology in he leukemic BM
40
. In addi ion, i has been
epo ed ha VEGFA le els a e an independen p ognos ic
ac o
41
and ha hey modula e he appea ance o g a
e sus hos disease a e SCT
42
. Based on he cu en
e idence, we hypo hesize ha he VEGFA
s25648
SNP
migh influence he isk o de eloping AML h ough
changes in BM ascula i y and mo phology and mig a ion
o human leukemia cells.
One o he majo s eng hs o ou s udy is he inclusion o
wo la ge popula ions. In he combined analysis, we had
80% powe o de ec an odds a io o 1.33 (α=0.0007) o a
SNP wi h a equency o 0.25, which unde lined he easi-
bili y o he s udy design. Ano he impo an s eng h o
his s udy is he de elopmen o cy okine s imula ion
expe imen s and he measu emen o se en se um s e oid
ho mones in a la ge coho o heal hy subjec s, which
allowed us o in es iga e he unc ional ole o he mos
ele an ma ke s in modula ing immune esponses bu also
in de e mining se ological s e oid ho mone le els. A
d awback is he mul icen ic na u e o his s udy ha placed
ine i able limi a ions such as he impossibili y o uni o mly
collec cy ogene ic and mu a ion p ofiles o a significan se
o pa ien s. Ano he limi a ion was ha age was unknown
o a subse o Ge man con ols. Howe e , gi en ha
selec ed SNPs ha e no been linked o su i al in AML, we
hink ha age is no a modi ying ac o ha could sig-
nifican ly influence he esul s.
In conclusion, we iden ified o he fi s ime IL8,IL13,
and VEGFA SNPs as suscep ibili y bioma ke s o AML
and p o ided new insigh s abou he possible ole o hese
loci in modula ing inna e and adap i e immune espon-
ses, and he eby becoming po en ially clinical a ge s o
enhancemen o he an ileukemic e ec s o immune cells.
Func ional da a used in his p ojec ha e been me icu-
lously ca alogued and a chi ed in he BBMRI-NL da a
in as uc u e (h ps://h gp. bbm i.nl/) using he MOL-
GENIS open sou ce pla o m o scien ific da a
43
. This
allows flexible da a que ying and download, including
su ficien ly ich me ada a and in e aces o machine
p ocessing (R s a is ics, REST API) and using FAIR
p inciples o op imise Findabili y, Accessibili y, In e -
ope abili y and Reusabili y
44
.
Acknowledgemen s
We a e deeply g a e ul o he s udy pa icipan s. We also hank As ella Pha ma Inc.
and M s. Consuelo González Mo eno (AML su i o ) o suppo ing his wo k. This
s udy was suppo ed by g an s PI12/02688 and PI17/02276 om Fondo de
In es igaciones Sani a ias (Ins i u o de Salud Ca los III, Mad id, Spain), he No he n
Po ugal Regional Ope a ional P og amme (NORTE 2020), unde he Po ugal
2020 Pa ne ship Ag eemen , h ough he Eu opean Regional De elopmen Fund
(FEDER) (NORTE-01-0145-FEDER-000013), and by Fundação pa a a Ciência e
Tecnologia (FCT) (CEECIND/04601/2017 o C.C, and CEECIND/03628/2017 o A.C.).
This s udy was also suppo ed by As ellas Pha ma Inc. and by a dona ion o
Consuelo González Mo eno, an acu e myeloid leukemia su i o .
Au ho de ails
1
Genomic Oncology A ea, GENYO, Cen e o Genomics and Oncological
Resea ch: Pfize / Uni e si y o G anada / Andalusian Regional Go e nmen ,
PTS G anada, G anada, Spain.
2
Hema ology depa men , Vi gen de las Nie es
Sánchez-Maldonado e al. Blood Cance Jou nal (2020) 10:75 Page 9 o 11
Blood Cance Jou nal