The preclinical efficacy of a novel telomerase inhibitor, imetelstat ... · Baerlocher et al., NEJM...
Transcript of The preclinical efficacy of a novel telomerase inhibitor, imetelstat ... · Baerlocher et al., NEJM...
The preclinical efficacy of a novel telomerase inhibitor, imetelstat, in AML: A randomized trial in
patient-derived xenografts
Claudia Bruedigam, Ph.D Gordon and Jessie Gilmour Leukaemia Research Laboratory Headed by A/Professor Steven Lane
Telomerase is activated to maintain the long-term replicative potential in most cancers including AML
© QIMR Berghofer Medical Research Institute | 2
• Telomerase is overexpressed in most AML
Roth et al., Leukemia 2003
• AML oncogenes activate telomerase Gessner et al., Leukemia 2010
• LSC have shortened telomeres and increased telomerase activity Drummond et al., Leukemia 2005, Bernard et al., Leukemia 2009
• Genetic depletion of telomerase eradicates LSC upon enforced replication via cell cycle arrest and apoptosis
Bruedigam et al., Cell Stem Cell 2014
Bruedigam et al., Cell Stem Cell 2014-
Calado and Young, N Engl J Med 2009
Imetelstat (JNJ-63935937) is a competitive inhibitor of telomerase activity
© QIMR Berghofer Medical Research Institute | 3
• Imetelstat is a covalently lipidated 13-mer oligonucleotide that binds the RNA template of telomerase
Herbert et al., Oncogene 2005
• Imetelstat induced molecular and
complete hematological responses in essential thrombocythemia (89%)
Baerlocher et al., NEJM 2015
• Imetelstat showed efficacy in myelofibrosis (complete or partial remission in 21%)
Tefferi et al., NEJM 2015
• Phase II / III trial to evaluate imetelstat in low or intermediate-1 risk myelodysplastic syndrome
NCT02598661
Ruden et al, Cancer Treatment Reviews 2013
© QIMR Berghofer Medical Research Institute | 4
Generating an AML patient-derived xenograft inventory
Sublethal irradiation(2.8 Gy)
NSGS
Primary AML patient sample
Ficoll separation
CD3 depletion
EngraftmentAML symptoms
Engraftment(Peripheral blood donor chimerism)
Weeks post-transplant
Dono
r chi
mer
ism
[%]
0 10 20 30 40 500
20
40
60
80
100engraftednot engraftedongoing
Blast morphology(Wright-Giemsa: peripheral blood)
Survival
0 50 100 150 200 250 300 3500
50
100
Perc
ent s
urvi
val
Days post-transplant
Individual samples tested (#): 35
Median survival (days): 220Engraftment success rate (%): 72
<APC-A>: hCD33<PE-Cy7-A>: hGPR56
<PE-A>: hCD34
0 102 103 104 105
0102
103
104
105
<FITC-A>: hCD45
0102
103
104
105
hCD
34
0 102 103 104 105
hCD
45
mCd45.1 hCD38
hGPR
56
hCD45
0102
103
104
105
0 102 103 104 105
0102
103
104
105
0 102 103 104 105
hCD
33
hCD45
AML marker expression(Bone marrow and spleen)
© QIMR Berghofer Medical Research Institute | 5
Preclinical testing of imetelstat in AML PDX
Sublethal irradiation(2.8 Gy)
NSGS
Primary or serial AML patient sample
(CD3 depletion)
(Check peripheral blood donor chimerism)Randomize
Imetelstat (15 mg / kg bw) or PBS tiw ip
EngraftmentAML symptoms
0
20
40
60
80
100
Age
at d
iagn
osis
[y
ears
]
Age at diagnosis
0
5
10
15
# A
ML
patie
nt s
ampl
es
ELN prognosis(Doehner et al., Blood 2010
Alpermann et al., Blood 2011)
favorableintermediate 1intermediate 2adverse
0
5
10
15
# A
ML
patie
nt s
ampl
es
Gender
femalemale
© QIMR Berghofer Medical Research Institute | 6
Imetelstat prolongs overall survival in AML PDX
0 100 200 300
0
50
100
Overall survival
Days post-start of treatment
Pe
rc
en
t s
urv
iva
l
PBS
Imetelstat
Median survival:
PBS: 83
Imetelstat: 153
p < 0.0001
© QIMR Berghofer Medical Research Institute | 7
Imetelstat suppresses AML expansion in 14 out of 15 PDX
0 50 100 1500
10
20
30
40
50
0 5 10 15 20 250
20
40
60
0 50 1001502000
20
40
60
80
0 20 40 60 800
10
20
30
40
0 50 100 1500
5
10
15
20
25
0 20 40 600
2
4
6
8
10
0 50 100 1500
20
40
60
0 50 100 1500
20
40
60
0 20 40 600
20
40
60
80
0 50 1000
20
40
60
80
0 10 20 30 400
20
40
60
80
0 50 100 1500
20
40
60
80
0 10 20 30 40 500
10
20
30
40
0 10 20 30 400
2
4
6
8
0 10 20 30 40 500
20
40
60
80
100
Perip
hera
l blo
od d
onor
chi
mer
ism
[%]
Days post-start of treatment
PBSImetelstat
AML expansion
0 100 200 300
0
50
100
Overall survival
Days post-start of treatment
Pe
rc
en
t s
urv
iva
l
PBS
Imetelstat
Median survival:
PBS: 83
Imetelstat: 153
p < 0.0001
© QIMR Berghofer Medical Research Institute | 8
AML PDX can be separated into two groups with distinct response to imetelstat therapy
0 100 200 3000
50
100
Sustained responders
Days post-start of treatment
Perc
ent s
urvi
val p <0.0001
0 100 200 3000
50
100
Days post-start of treatment
Perc
ent s
urvi
val
Poor responders
PBSImetelstatp = 0.3351
0
2
4
6
8
10
# A
ML
patie
nt s
ampl
es
ELN prognosis(Sustained responders)
favorable
intermediate 1intermediate 2adverse
0
2
4
6
8
10
# A
ML
patie
nt s
ampl
es
ELN prognosis(Poor responders)
© QIMR Berghofer Medical Research Institute | 9
Next generation sequencing reveals baseline mutations in AML patient samples
HemePACT assay in collaboration with Stanley Chun-Wei Lee and Omar Abdel-Wahab, MSKCC
NPM1
DNMT3AID
H2FLT3
NRASKRAS
TET2ETV6
EZH2
FANCMMKI67
PTPN11
RAD21
SRSF2WT1
APC
ARID1B
ASXL1AXL
BCOR
BCORL1
BRCA1BRD4
CD36
CXCR4
ECT2LESR1
ETS1
FANCFJA
K3
KDM2B
MAGED1MSH2
MSH3
PARK2
PLCG2
PTPRD
RAD54L
RUNX1
SMC1ASMO
STAG1TLL2
TRAF2
U2AF1
ZNF703
0
2
4
6
8
# A
ML
patie
nt s
ampl
es
© QIMR Berghofer Medical Research Institute | 10
The identity and distribution of mutations in selected PDX reflects larger AML cohorts
Papaemmanuil et al., NEJM 2016
NPM1
DNMT3AID
H2FLT3
NRASKRAS
TET2ETV6
EZH2
FANCMMKI67
PTPN11
RAD21
SRSF2WT1
APC
ARID1B
ASXL1AXL
BCOR
BCORL1
BRCA1BRD4
CD36
CXCR4
ECT2LESR1
ETS1
FANCFJA
K3
KDM2B
MAGED1MSH2
MSH3
PARK2
PLCG2
PTPRD
RAD54L
RUNX1
SMC1ASMO
STAG1TLL2
TRAF2
U2AF1
ZNF703
0
2
4
6
8
# A
ML
patie
nt s
ampl
es
n engl j med 374;23 nejm.org June 9, 2016 2211
Genomic Classification and Prognosis in Leukemia
number alterations (18), clinical variables (11), demographic characteristics (2), treatment (3), nuisance (4; nuisance variables are other or miss-ing variables, such as the trial a patient was en-rolled in, the year a patient entered the clinical
trial, and whether cytogenetic data were missing), and gene–gene interaction terms, defined as nonadditive effects on survival between two genes when both are mutated (126). We used an expectation-maximization algorithm to estimate
Figure 1. Landscape of Driver Mutations in Acute Myeloid Leukemia (AML).
Panel A shows driver events in 1540 patients with AML. Each bar represents a distinct driver lesion; the lesions include gene mutations, chromosomal aneuploidies, fusion genes, and complex karyotypes. The colors in each bar indicate the molecular risk according to the European LeukemiaNet (ELN) classification. Panel B shows the distribution of samples and overlap (cross-sections) across molecular subgroups (vertical bars). Patients who had no driver mutations and those who had driver mutations but did not meet the criteria for any specific class are also included. The number at the top of each column is the number of patients assigned solely to the designated class; the numbers of patients meeting criteria for two or more classes are shown at the intersection of classes.
B
A
No.
of U
niqu
e Pa
tient
s w
ith D
river
Mut
atio
n
500
300
100
400
200
0
20
15
10
5
0
FLT3
NPM1
DNMT3A
NRAS
comple
xTET2
!7/7q+8/
8qID
H2
CEBPA
RUNX1
PTPN11!5/
5qID
H1TP53
SRSF2
inv(16)
MLL
WT1KRAS
!17/1
7p
ASXL1 KIT
STAG2
t(15;1
7)
t(8;21
)
t(11q
23;x)
RAD21 !9qab
n3qEZH2
PHF6 !YSF3
B1+21 CBL
U2AF1BCOR
GATA2NF1
!20/2
0q
!18/1
8q
inv(3)/t
(3;3)
EP300ETV6
+13!4/
4qM
YC+22
!12/1
2p
No. of Patients
+11/1
1qt(6
;9)
KDM5AM
LL2
ZRSR2JA
K2
CREBBP
KDM6AM
LL3BRAF
FBXW
7ATRX
CUX1RB1
MPL
PRPF40BPTEN
CDKN2AGNAS
MLL
5SF1
U2AF2CBLB
IKZF1
SF3A1
SH2B3
166
81 1 1
60
60 2 1
44 1 11
20 1 2
15
418 2 8 6
66 3
199 16
18
275
166
62
2 3inv(16) t(1
5;17) t(8
;21)
inv(3) t(6
;9)NPM
1 CEBPAbia
llelic
TP53–a
neuploidy
Chrom
atin–s
pliceo
som
e
IDH2R
172
No clas
s No drivers
detecte
d
MLL
fusio
n
inv(16)
t(15;17)
t(8;21)
inv(3)
t(6;9)
NPM1CEBPAbiallelic
TP53–aneuploidy
Chromatin–spliceosome
IDH2R172
No class
No drivers detected
MLL fusion
ELN intermediate-I riskELN favorable risk ELN intermediate-II risk
ELN adverse risk
ELN risk not available
1 5 10 15 >15
The New England Journal of Medicine Downloaded from nejm.org on December 4, 2016. For personal use only. No other uses without permission.
Copyright © 2016 Massachusetts Medical Society. All rights reserved.
HemePACT assay in collaboration with Stanley Chun-Wei Lee and Omar Abdel-Wahab, MSKCC
© QIMR Berghofer Medical Research Institute | 11
Imetelstat response is correlated with a distinct mutational landscape
NP
M1
DN
MT
3A
IDH
2
KR
AS
EZ
H2
PT
PN
11
SR
SF
2
Su
sta
ined
resp
on
ders
Po
or
resp
on
ders
Mutations occuring in
both sustained and
poor responders
© QIMR Berghofer Medical Research Institute | 12
Imetelstat response is correlated with a distinct mutational landscape
NP
M1
DN
MT
3A
IDH
2
KR
AS
EZ
H2
PT
PN
11
SR
SF
2
FLT
3
NR
AS
TE
T2
RA
D21
AR
ID1B
CD
36
EC
T2L
JA
K3
KD
M2B
MA
GE
D1
MS
H2
MS
H3
PA
RK
2
PT
PR
D
RA
D54L
RU
NX
1
SM
C1A
STA
G1
ZN
F703
Su
sta
ined
resp
on
ders
Po
or
resp
on
ders
Mutations occuring in
both sustained and
poor responders
Mutations occuring
exclusively
in sustained responders
© QIMR Berghofer Medical Research Institute | 13
Imetelstat response is correlated with a distinct mutational landscape
NPM
1DN
MT3
AID
H2KR
ASEZ
H2PT
PN11
SRSF
2FL
T3NR
ASTE
T2RA
D21
ARID
1BCD
36EC
T2L
JAK3
KDM
2BM
AGED
1M
SH2
MSH
3PA
RK2
PTPR
DRA
D54L
RUNX
1SM
C1A
STAG
1ZN
F703
ETV6
FANC
MM
KI67
WT1
APC
ASXL
1AX
LBC
OR
BCO
RL1
BRCA
1BR
D4CX
CR4
ESR1
ETS1
FANC
FPL
CG2
SMO
TLL2
TRAF
2U2
AF1
Sust
aine
d re
spon
ders
Poor
resp
onde
rs
Mutations occuring in both sustained and
poor responders
Mutations occuring exclusively
in sustained responders
Mutations occuring exclusively
in poor responders
© QIMR Berghofer Medical Research Institute | 14
Gene ontology analysis of mutually exclusive mutations reveals distinct molecular pathways
0 50 100 150 200 250
cell cycledeath
cell deathprogrammed cell death
apoptosiscellular response to stress
cell cycle processDNA metabolic process
response to abiotic stimulusresponse to DNA damage stimulus
DNA repairresponse to radiation
chromosome segregationDNA recombination
response to ionizing radiationdouble-strand break repair
postreplication repair
Fold enrichment
Sustained responders
0
regulation of cell deathregulation of programmed cell death
chromosome organizationpositive regulation of developmental process
immune system developmentPathways in cancer
pattern specification processpositive regulation of cell differentiationregulation of myeloid cell differentiation
10 20 30Fold enrichment
Poor responders
© QIMR Berghofer Medical Research Institute | 15
Gene ontology analysis of mutually exclusive mutations reveals distinct molecular pathways
0 50 100 150 200 250
cell cycledeath
cell deathprogrammed cell death
apoptosiscellular response to stress
cell cycle processDNA metabolic process
response to abiotic stimulusresponse to DNA damage stimulus
DNA repairresponse to radiation
chromosome segregationDNA recombination
response to ionizing radiationdouble-strand break repair
postreplication repair
Fold enrichment
Sustained responders
0
regulation of cell deathregulation of programmed cell death
chromosome organizationpositive regulation of developmental process
immune system developmentPathways in cancer
pattern specification processpositive regulation of cell differentiationregulation of myeloid cell differentiation
10 20 30Fold enrichment
Poor responders
1. DNA repair
© QIMR Berghofer Medical Research Institute | 16
Gene ontology analysis of mutually exclusive mutations reveals distinct molecular pathways
0 50 100 150 200 250
cell cycledeath
cell deathprogrammed cell death
apoptosiscellular response to stress
cell cycle processDNA metabolic process
response to abiotic stimulusresponse to DNA damage stimulus
DNA repairresponse to radiation
chromosome segregationDNA recombination
response to ionizing radiationdouble-strand break repair
postreplication repair
Fold enrichment
Sustained responders
0
regulation of cell deathregulation of programmed cell death
chromosome organizationpositive regulation of developmental process
immune system developmentPathways in cancer
pattern specification processpositive regulation of cell differentiationregulation of myeloid cell differentiation
10 20 30Fold enrichment
Poor responders
1. DNA repair
2. Cell cycle
© QIMR Berghofer Medical Research Institute | 17
Gene ontology analysis of mutually exclusive mutations reveals distinct molecular pathways
0 50 100 150 200 250
cell cycledeath
cell deathprogrammed cell death
apoptosiscellular response to stress
cell cycle processDNA metabolic process
response to abiotic stimulusresponse to DNA damage stimulus
DNA repairresponse to radiation
chromosome segregationDNA recombination
response to ionizing radiationdouble-strand break repair
postreplication repair
Fold enrichment
Sustained responders
0
regulation of cell deathregulation of programmed cell death
chromosome organizationpositive regulation of developmental process
immune system developmentPathways in cancer
pattern specification processpositive regulation of cell differentiationregulation of myeloid cell differentiation
10 20 30Fold enrichment
Poor responders
1. DNA repair
2. Cell cycle
3. Development and differentiation
© QIMR Berghofer Medical Research Institute | 18
Gene ontology analysis of mutually exclusive mutations reveals distinct molecular pathways
0 50 100 150 200 250
cell cycledeath
cell deathprogrammed cell death
apoptosiscellular response to stress
cell cycle processDNA metabolic process
response to abiotic stimulusresponse to DNA damage stimulus
DNA repairresponse to radiation
chromosome segregationDNA recombination
response to ionizing radiationdouble-strand break repair
postreplication repair
Fold enrichment
Sustained responders
0
regulation of cell deathregulation of programmed cell death
chromosome organizationpositive regulation of developmental process
immune system developmentPathways in cancer
pattern specification processpositive regulation of cell differentiationregulation of myeloid cell differentiation
10 20 30Fold enrichment
Poor responders
1. DNA repair
2. Cell cycle
3. Development and differentiation
4. Pathways in cancer
Imetelstat induces DNA damage and loss of quiescence in LSC in vivo
© QIMR Berghofer Medical Research Institute | 19
Sublethal irradiation(2.8 Gy)
NSGS
AML patient sample
(Check peripheral blood donor chimerism)Randomize
Imetelstat (15 mg / kg bw) or PBS tiw ip
Endpoint analysis at disease onset of PBS group
G0
PBS
Imete
lsta
t
0
5
10
15
20
25
LS
C in
G0
[%
]
p = 0.0002
AML-16
AML-5
AML-18
0 102
103
104
105
aH2AX
PBS
Imetelstat
aH2AX
aH2
AX
MF
I in
G1
LS
C
[no
rm
alize
d to
PB
S]
PBS
Imete
lsta
t
0.0
0.5
1.0
1.5
p < 0.0001
© QIMR Berghofer Medical Research Institute | 20
Modelling normal human hematopoiesis
Sublethal
irradiation
(2.8 Gy)
NSG
Cord blood donor sample
CD34
enrichment
Imetelstat (15 mg / kg bw) or PBS tiw ip
Human hematopoiesis phenotype
endpoint analysis
10 weeks
© QIMR Berghofer Medical Research Institute | 21
Imetelstat primarily depletes B lymphocytes
Sublethal
irradiation
(2.8 Gy)
NSG
Cord blood donor sample
CD34
enrichment
Imetelstat (15 mg / kg bw) or PBS tiw ip
Human hematopoiesis phenotype
endpoint analysis
10 weeks
Donor chimerism(Spleen)
Donor 1: P
BS
Donor 1: Im
etelst
at
Donor 2: P
BS
Donor 2: Im
etelst
at0
20
40
60
80
100
Dono
r chi
mer
ism
[%]
** ****
B cells(Spleen)
Donor 1: P
BS
Donor 1: Im
etelst
at
Donor 2: P
BS
Donor 2: Im
etelst
at0
20
40
60
80
100
CD
19+
[% o
f via
ble
CD
45+] *
p = 0.08
Myeloid cells (Spleen)
Donor 1: P
BS
Donor 1: Im
etelst
at
Donor 2: P
BS
Donor 2: Im
etelst
at0
5
10
15
CD
33+
[% o
f via
ble
CD
45+] * p = 0.0667
© QIMR Berghofer Medical Research Institute | 22
Human cord blood - derived stem cells are preserved during imetelstat treatment
Sublethal
irradiation
(2.8 Gy)
NSG
Cord blood donor sample
CD34
enrichment
Imetelstat (15 mg / kg bw) or PBS tiw ip
Human hematopoiesis phenotype
endpoint analysis
10 weeks
Donor chimerism(Bone marrow)
Donor 1: P
BS
Donor 1: Im
etelst
at
Donor 2: P
BS
Donor 2: Im
etelst
at0
20
40
60
80
100
Dono
r chi
mer
ism
[%]
** ****
HSC
(Bone marrow)
Donor 1: PBS
Donor 1: Im
ete
lsta
t
Donor 2: PBS
Donor 2: Im
ete
lsta
t
0
1
2
3
CD
34
+C
D3
8- fr
om
CD
45
+ %
H2AX in HSC
(Bone marrow)
Donor 1: PBS
Donor 1: Im
ete
lsta
t
Donor 2: PBS
Donor 2: Im
ete
lsta
t
0
500
1000
1500
MF
I
H2
AX
in
G1
CD
34
+C
D3
8-
© QIMR Berghofer Medical Research Institute | 23
Summary: Preclinical efficacy of imetelstat in AML PDX
• Imetelstat is effective in a subgroup (60%) of AML patient samples
• Imetelstat prevents expansion and prolongs overall survival in AML PDX (PBS: 83 days; Imetelstat: 153 days post-start of treatment)
• Sustained responses to imetelstat are correlated with favorable cytogenetics, mutational profiles of DNA damage and activation of DNA damage response pathways
• This study has generated preclinical data to inform clinical trials and provide a precision approach to targeted therapies in patients with AML
QIMR Berghofer Medical Research Institute Gordon and Jessie Gilmour Leukaemia Research Lab - Steven Lane - Brad Wackrow - Axia Song - Amy Porter - Joanne Sutton - Sebastien Jacquelin - Therese Vu - Rebecca Austin - Emma Dishington - Solene Guignes - Jasmin Straube - FACS Core: Grace, Paula, Michael - Animal House: Sue, Jonathan, Dave - Statistics: Leesa, Louise, Mandy, Peter
Royal Brisbane and Women’s Hospital - Patients and health professionals
Acknowledgements
© QIMR Berghofer Medical Research Institute | 24
Memorial Sloan Kettering Institute - Omar Abdel-Wahab - Stanley Chun-Wei Lee The University of Queensland Diamantina Institute, Translational Research Institute - Andrew Moore
The University of New South Wales - Richard Lock The University of South Australia - Hamish Scott
Funding NHMRC Leukaemia Foundation of Australia Cure Cancer Australia Rio Tinto Ride to Conquer Cancer Janssen (research funding agreement)