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Target identification to selectively eradicate acute myeloid leukemia stem cells
Verhagen, H.J.M.P.
2018
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Verhagen, H. J. M. P. (2018). Target identification to selectively eradicate acute myeloid leukemia stem cells.
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C H A P T E R
1
1
G E N E R A L I N T RO D U C T I O N
Leukemia
Leukemia is a malignancy characterized by the accumulation of aberrant leukocytes in the bone
marrow and peripheral blood (Figure 1). This increase in aberrant white blood cells hampers
the function and development of normal hematopoiesis, causing symptoms related to anaemia,
thrombocytopenia and dysfunctional granulocytes, which is insurmountable fatal when patients
are left untreated. Mid 1800s, John Bennet and Rudolf Virchow established the fundament for
the recognition of leukemia and proposed that the aberrant presence of white blood cells in
the patient’s blood was not due to inflammation but rather a result of transformation of the complete
blood system
1. As leukemia was gradually accepted as a distinct disease and many novel cases
were diagnosed, by studying morphology of the leukemic cells, a high degree of heterogeneity
among patients was observed. Although leukemia was generally considered to be a chronic disease,
the time between diagnosis and mortality for some patients was only a few weeks, therefore these
cases were referred to as acute leukemia. In the next decade, it became evident that the bone
marrow was the source for both the normal hematopoietic system and leukemia. In 1900, leukemia
was further categorised in myeloid and lymphoid neoplasms by detection of either myeloblasts
or lymphoblasts. This formed the basis of what we still recognize today as four primary types of
leukemia; chronic lymphoid leukemia (CLL), acute lymphoid leukemia (ALL), chronic myeloid
leukemia (CML) and acute myeloid leukemia (AML)
2.
Diagnosis and classification of AML
AML is the most common form of the myeloid malignancies, with an average incidence of 3.7
cases per 100.000 persons each year in Europe
3. Diagnosis of AML occurs by the detection of >20%
Figure 1. Illustration of a normal healthy and AML bone marrow aspirate. Healthy normal bone marrow (left panel) contains a wide variety of distinct differentiated myeloid cell types that all share a common ancestor, the myeloblast. The bone marrow of myeloid leukemia patients (right panel) shows accumulation of myeloblasts and the lack of differentiated cells which can result in symptoms like easy bleedings, pale skin, fatigue, weight
Normal hematopoiesis
Acute Myeloid Leukemia
1
myeloblasts in bone marrow or blood, or the presence of myeloid cells with genetic abnormalities
that include t(8;21), inv(16)/t(16;16), t(15;17)
4. AML can be divided into various subgroups (according
to the WHO2016 classification) by integration of cell morphology, immunophenotyping, gene
expression, gene mutations and cytogenetics. Based on these features, AML cases can be classified
as either good, intermediate or adverse risk
5. Elderly patients have in general a dismal prognosis
due to a poor condition and co-morbidities, as well as the presence of additional poor prognostic
factors like complex cytogenetics
6,7. Chromosomal abnormalities are detected in ~55% of the AML
patients and have a strong impact on prognosis. These abnormalities include t(8;21), inv(16) and
t(15;17) which are good prognostic, and t(9;11), inv(3)(q21q26), t(3;3)(q21q26) del(7) or del(5) which
are poor prognostic. Patients lacking cytogenetic abnormalities are diagnosed as normal karyotype
(NK) and the presence of >3 abnormalities is referred to as a complex karyotype (CK). In addition to
chromosomal aberrations, somatic mutations are frequently found in AML. These include mutations
in genes like NPM1, FLT3, DNMT3A, CEBPA, MLL, RUNX1, TET2, WT1, KIT, RAS and p53. Some, such as
NMP1 and bi allelic CEBPA mutations are associated with a good prognosis, while others such as p53
mutations are associated with a poor prognosis. Moreover, high expression of genes such as ERG,
EVI-1, BAALC and MN1 are also linked to poor AML treatment outcome
8.
Aberrant expression of genes, caused by translocations, somatic mutations, or epigenetic
changes can result in a variety of functional consequences driving the development of AML.
Mutations found in AML affect signalling pathways (59%), DNA methylation (44%), chromatin
modification (30%), and myeloid transcription factors (22%), and in lesser extend tumor suppressors,
the spliceosome complex and cohesins
9. This aberrant gene expression can lead to aberrant
immunophenotypes, including expression of lymphoid plasma membrane markers on myeloid cells
that normally lack these markers. The aberrant expression of several of these markers, including
CD25,CD2,CD7 and CD56, correlate to a poor prognosis
10–12. Other aberrant immunophenotypes are
the lack of a myeloid marker on myeloid cells, for instance the absence of the myeloid marker CD13
on CD33 expressing cells. Also aberrant expression of CD34 and MDR1 on myeloid cells is frequently
found for AML and both correlate to a poor prognosis
13,14.
A well-defined prognostic marker for AML patients that predicts a poor response to
chemotherapy and a poor overall survival, is high expression of the Ecotropic Viral Integration
site-1 (EVI-1) oncogene. Despite treatment with chemotherapy and a hematopoietic stem cell
transplantation if eligible, >95% of AML patients with high EVI-1 expression do not survive two
years after diagnosis
15. EVI-1 was initially discovered as a common retroviral integration site for
murine haematological malignancies
16and enhanced expression of EVI-1 occurs in ∼10% of AML
patients
17. High EVI-1 expression is sometimes driven by 3q26 abnormalities, as a result of aberrantly
positioned transcriptional enhancers
18, however, in most cases EVI-1 is found to be overexpressed
due to an unknown cause
19. In healthy tissue, EVI-1 is predominantly expressed in embryonic and
hematopoietic stem cells (HSCs) by acting as a multi-functional transcriptional regulator and is
essential for the proliferation and maintenance of hematopoietic stem cells (HSCs)
20,21. Although
1
Chemotherapy response and resistance in AML
Although AML is a very heterogeneous disease, most patients are treated with a standard
combination chemotherapy that consists of cytarabine, and an anthracycline such as daunorubicin
and etoposide
5. This treatment results in a complete remission (CR), defined as <5% myeloblasts, and
recovery of normal hematopoiesis, in approximately 55-85% of adult AML patients
22–25. If eligible,
adult AML patients with an intermediate or adverse prognostic score are offered an allogenic
hematopoietic stem cell transplantation after achieving CR
4. Despite these high initial CR rates, 50%
of AML patients experience a relapse within 5 years post diagnosis
26. Recurrent disease is difficult to
treat and is the main reason for the in general poor overall survival rates (30%) of AML patients
27,26.
Once the patient has developed a relapse its 3-year overall survival is 12% and 0% for intermediate
and adverse risk groups, respectively
28. Refractory AML patients, patients that still present >5%
leukemia in the bone marrow after standard chemotherapy, can be offered alternative (salvage)
therapy. Commonly used salvage therapies include fludarabine, idarubcin and mitoxantrone, which
can potentially result in CR
5,29.
The large number of clinical trials (>200), that are currently testing the efficacy of tyrosine
kinase -, epigenetic - and many other inhibitors as well as immunotherapeutic modalities (Clinical
trial register.eu), suggest increased numbers of potential alternative therapeutic options for AML
patients in the next decades. Some of these novel therapeutic strategies are predicted to act
on subgroups of AML patients, for instance, inhibition of Disrupter of Telomeric Silencing1-like
(DOT1L). This histone 3 lysine 79 (H3K79) methyltransferase is highly active in DNMT3a mutated as
well as MLL rearranged AML and inhibition of DOT1L demonstrated to induce apoptosis and tumor
reducing activity in vivo
30,31. Other promising options are targeted therapy for specific subgroups of
AML patients with high FLT3 and SYK activity. Recently a dual inhibitor for both kinases in addition to
chemotherapy has demonstrated to improve survival of AML patients
32,33. Other novel therapeutic
options are predicted to have a broader applicability, for instance anti-CD33 antibodies that
potentially eradicate all myeloid cells
34.
Despite all the promising novel strategies, relapse is currently still the main cause for
the poor outcome of AML patients. Residual leukemic cells in the bone marrow of the patient after
chemotherapy treatment, referred to as minimal residual disease (MRD), initiate this relapse. MRD
can be detected using flow cytometric immunophenotyping and mutation analysis using molecular
techniques like PCR and next generation sequencing. High MRD levels strongly correlate with
increased relapse rates and measuring MRD is included in clinical studies as a novel risk parameter
to predict treatment outcome
35,36.
Cytarabine, daunorubicin and etoposide are currently the most commonly used drugs to treat
AML, and mainly act on the DNA replication machinery by inhibition of DNA polymerase activity,
by cooperation into DNA during S-phase or by fixation of topoisomerase II to the DNA
37,38. As
a result, DNA replication is terminated and double strand breaks are generated that cannot be
sufficiently repaired, hence leading to the induction of apoptosis. Recently it has been shown that
anthracyclines induce histone eviction and changes the transcriptional landscape
39, indicating that
1
of escaping chemotherapy induced cell death are illustrated in Figure 2 and include (I) enhanced
DNA repair, (II) enhanced drug efflux, (III) enhanced survival signalling, (IV) target modification, (V)
apoptotic block and (VI) quiescence
40–42.
Recently it has been shown that inactivation of the SWI/
SNF chromatin remodeling complex, that is involved in loading the Topoisomerase II to the DNA,
can also mediate resistance to chemotherapy
43,44.
Figure 2. Mechanisms of resistance to chemotherapy in AML. (I) Genes that enhance DNA repair activity can prevent that cells undergo apoptosis44–47. High INPP4B expression is a biomarker for chemotherapy resistance
and is associated with a poor overall survival of AML patients. IBPP4B regulates ATM dependent DNA repair by activating BRCA1and RAD5145,46. Another gene that provides enhanced DNA repair is CHEK1. High CHEK1
expression is associated with a poor response to chemotherapy and when activated by ATR it still induces DNA replication upon cytarabine treatment47. (II) Chemotherapeutic agents that enter the cell can be efficiently
exported by drug transporters like multi-drug resistance 1 (MDR1), which prevent that cytostatic drugs reach the nucleus and induce DNA damage48. High MDR1 expression, as well as functional efflux capacity,
is observed in ~30% of the AML cases and correlates to a poor prognosis49. MDR1 is also frequently found
1
Leukemic and normal hematopoietic stem cells
AML is a clonal disease which is like normal haematopoiesis hierarchically organised
69and originates
from mutations that occur in a multipotent progenitor or a HSC
70,71(Figure 3). The development
of leukemia has been suggested to originate from environmental stress induced by chemicals and
radiation, but also genotoxic stress driven by the bone marrow microenvironment, both inducing
DNA aberrancies
72,73. To date, the best accepted model describing the onset of AML is the “two
hit model” hypothesis
74,75. This hypothesis states that the cell of origin needs at least two impaired
genes in order to transform into leukemia. The so called class I mutations can confer cells with
a proliferation advantage whereas the class II mutations direct a block in differentiation.
Within AML, tumor heterogeneity is observed since rare subpopulations are detected with
enhanced self-renewal capacity
69. These cells are often referred to as leukemic stem cells (LSCs) and
are functionally defined by their long term tumor-initiating capacity in immunodeficient mice using
serial transplantations, or by their colony forming capacity using long term colony forming unit
(CFU) assays in vitro
69,76–78. Although the cell of origin can be a LSC, these two are not necessarily
directly correlated to each other
70. LSCs co-reside with HSCs in the bone marrow of AML patients
and are initially identified as having the CD34
+CD38
-immunophenotype, similar to HSCs
78. Later,
LSCs showed to be more heterogeneous and to also reside in the CD34
-population
79.
CD34
+CD38
-LSCs are mainly quiescent
66like HSCs
80, however, recently a novel non-quiescent
LSC population was reported indicating the heterogeneity of the LSC pool
81. The frequency of
CD34
+CD38
-LSCs at diagnosis and after chemotherapy treatment is predictive for overall survival
and relapse
82,83. Importantly CD34
+CD38
-LSCs show decreased sensitivity to chemotherapy and
reside in the endosteal regions of the bone marrow
66,84. The hypothesis that LSCs preferentially
therapy-induced drug resistance50. (III) Activated signalling routes can trigger survival responses that
overcome therapy induced cell death51–55. The best known example for AML is the FLT-3 receptor which is
frequently found highly expressed due to internal tandem duplications in the DNA (FLT3-ITDs). FLT3-ITDs are associated with a poorer survival of AML patients and result in increased resistance to cytarabine54,56. Activated
Insulin Growth Factor 1 receptor (IGF1R) can also promote AML cell survival during chemotherapy treatment by facilitating resistance to chemotherapy52. (IV) Targets of chemotherapy can either be downregulated in
expression levels or mutate during treatment, leading to therapy unresponsiveness40. Classically, etoposide and
anthracyclines like daunorubcin target topo isomerase II activity, leading to double strand breaks in the DNA and consequently apoptosis. However, in vitro studies revealed that expression of topoisomerase II is reduced in leukemic cells that are resistant to etoposide57. Furthermore, topoisomerase II expression levels in AML cells
have been shown to determine sensitivity to chemotherapy58. Moreover, a point mutation in topoisomerase II
demonstrated to decrease sensitivity to cytotoxic agents more than 50 fold In AML cell lines59. (V) The activation
or overexpression of anti-apoptotic proteins can overcome chemotherapy-induced cell death by blocking apoptosis60,61. BCL2 is a key protein in the regulation of apoptosis and its elevated expression is correlated to
a poor response to chemotherapy62. Also loss of the apoptotic regulators Puma and Noxa decreased sensitivity
to cytarabine and anthracyclines61. (VI) Quiescent (non-cycling) cells remain in the G0 cell cycle state and are
therefore less vulnerable for chemotherapy and have more time to repair potential DNA defects63–67. The loss of
1
survive chemotherapy is confirmed by a study that shows that LSC frequency is increased at relapse
compared to diagnosis
85. However, conflicting data shows no increase in the number of LSCs after
chemotherapy treatment of AML in a xenograft mouse model
86.
Various molecular mechanisms can contribute to the presence of stem cell-like features
(“stemness”), such as self-renewing capacity and chemotherapy resistance in AML. “Stemness”
might be imposed on AML cells by (I) genetic changes, (II) epigenetic changes and by the (III)
tumor microenvironment
87. Genetic changes, caused by irreversible somatic mutations, can result
in distinct cell populations with different sensitivities to chemotherapy
88,89. Epigenetically regulated
events and the tumor microenvironment might cause dynamically regulated AML heterogeneity in
the sense of chemotherapy sensitivity. Soluble factors secreted by mesenchymal stromal cells, like
CXCL12 (SDF-1) and JAG1, but also fatty acids derived from gonadal adipose tissue have been linked
to the survival of LSCs and the facilitation of chemotherapy resistance
90,91. Besides the induction of
“stemness”, LSCs can also arise as a consequence of cell intrinsic changes
92,93. Recently it has been
shown that epigenetic reprogramming of H3K27m3 modifications is important for LSC survival
94.
The central role for LSCs in AML leukemogenesis, therapeutic responses and the initiation
of recurrent disease, drives the hypothesis that their elimination is key to improve AML therapy
1
outcome. The development of therapies that eradicate LSCs is challenging since these should spare
healthy HSCs that are needed to restore normal hematopoiesis after therapy. To develop such
specific anti-LSC therapies, the identification of genes that are differently expressed between HSCs,
LSCs and the AML bulk is crucial. Several studies have already explored transcriptional differences
between LSCs and non-LSCs from AML patients and differences between LSCs and normal HSCs
derived from healthy donors (Table 1). Eppert and colleagues generated gene expression profiles
(GEPs) comparing functionally defined LSCs to non-LSCs fractions and showed that high expression
of a LSC signature in AML correlates to a dismal outcome
95. Furthermore, in this study cord
blood derived CD34
+CD38
-HSCs were compared with CD38
+CD38
-LSCs from AML bone marrow
and revealed that LSCs and HSCs share a core transcriptional program. Most of the studies that
are listed in Table 1, compared the expression profile of CD34
+CD38
-LSCs with that of CD34
+CD38
-HSCs derived from healthy donors, however, since gene expression in -HSCs is influenced by both
AML cells
96and the leukemic microenvironment
90, comparing LSCs GEPs with that of HSCs is most
relevant when both stem cell fractions are derived from the same patient sample.
In the past decade, our lab identified biomarkers, that can distinguish LSCs from HSCs both
residing in the AML bone marrow. CD45RA
97, CLL-1
98and other lineage markers such as CD11b,
CD7 and CD56
99can be present on LSCs, however, are always absent on HSCs. Also other labs have
identified such markers, including CD123
100and Tim3
101. Importantly, our lab has identified that HSCs
can be functionally discriminated from CD34
+CD38
-LSCs using aldehyde dehydrogenase activity
(ALDH)
102. ALDH was initially identified as a cancer stem cell (CSC) marker in solid tumors and high
ALDH activity generally correlates to a poor prognosis
103. In most FLT3-ITD and NPM1 mutated
AML cases, ALDH
brightCD34
+CD38
-populations (HSCs) lack leukemia associated mutations and
immunophenotypic aberrancies, while ALDH
lowCD34
+CD38
-cells (LSCs) have these mutations and
immunophenotypic aberrancies
102. Hoang and colleagues showed that 80 out of 104 AML cases
had low numbers (<1.9%) of CD34
+ALDH
+cells and were all annotated as HSCs since there was no
aberrancy present in mutation analysis, this in contrast to the matched CD34
+ALDH
-fractions
104.
The other 24 cases had relative high numbers of CD34
+ALDH
+cells and were mostly LSCs indicating
that only CD34
+ALDH
+cells from AML with rare CD34
+ALDH
+fractions are suitable for HSC
discrimination. CD34
+CD38
-ALDH
brightpopulations derived from ‘ALDH rare AML’ gave rise to
multi-lineage engraftment in contrast to CD34
+CD38
-ALDH
lowpopulations which gave myeloid leukemic
engraftment in a xenograft mouse model.
LSCs in AML patients BM are heterogonous in multiple ways. Accumulation of mutations in LSCs
and hence Darwinian selection during disease progression and after chemotherapy treatment, can
lead to a complete different clone that is present at relapse compared to diagnosis
88. The same
holds true for aberrant immunophenotype which is in some AML patients different at MRD or
relapse than at diagnosis
105. Importantly, cancer cells can show different sensitivities to therapy that
is regulated by non-genetically induced events, thereby adding another complexity to intratumoral
heterogeneity
106. For example, small small populations of EGF receptor tolerant cells, with a stem
1
Insulin-like Growth Factor-1 (IGF-1) signaling
The IGF-1 receptor (IGF1R) is frequently found overexpressed in cancer cells and can regulate a wide
variety of cellular processes including survival, differentiation, proliferation, quiescence and therapy
resistance
114. Although the role of the IGF-1 system has been extensively studied in solid tumors, less
is known about this pathway in hematological malignancies. In multiple myeloma (MM), IGF-1 has
been shown to stimulate the growth and survival of leukemic cells
115and several anti-IGF1R therapies
were shown to inhibit MM proliferation
116. In AML, expression of IGF-1 and the IGF1R was detected in
a panel of human AML blasts and cell lines and IGF-1 could promote the growth of AML blasts, AML
cell lines as well as AML progenitors
in vitro
117–119.
For AML, inhibition of the IGF-1 system has been
performed by neutralizing anti-IGF1R antibodies and IGF1R tyrosine kinase inhibitors (NVP-AEW541
and NVP-ADW742) which both inhibited cell proliferation and induced apoptosis
51,120. The effect of
IGF-1/IGF1R inhibition on the survival of AML LSCs is currently unknown. Anti-IGF-1/IGF1R strategies
seem to mimic the molecular effects caused by calorie restriction, which is known to decrease IGF-1
signaling. Combining calorie restriction (starvation) with chemotherapy treatment demonstrated
to specifically reduce the survival of cancer cells, while enhancing that of normal cells
121,122. IGF1R
signaling can be regulated by expression of the components of IGF1R pathway, ligand bioavailability
and by receptor trafficking
123. Moreover, IGF1R activity can be regulated by insulin-like growth
factor binding proteins (IGFBPs)
124. To date, ten IGFBPs have been identified from which IGFBP1-6
are considered to have a function in inhibition of IGF1R signaling by binding IGF-1 and thus affecting
ligand bioavailability. IGFBP 7-10 do not bind with high affinity to the IGFs and might have additional
functions next to inhibition of IGF1R signaling
125. An important role of IGFBP7 in IGF1R signaling is
Table 1. Gene expression profiles of HSCs, leukemic progenitors and LSCs. NBM = normal bone marrow, CB = Cord Blood, PB = peripheral blood.
Source Sorted fractions Reference
1
shown in multiple studies
126,127. The loss of secreted IGFBP7 by tumor associated endothelial cells
contributes to the transformation of naïve tumor cells to chemotherapy resistant stem cells
127.
Importantly, treatment of breast cancer and melanoma cells with purified recombinant human
IGFBP7 (rhIGFBP7) led to the induction of senescence and apoptosis and reduced tumor growth
in vivo
126,128.
Retinoic acid based therapy for AML patients
AML cases that harbor a t(15;17) translocation, leading to expression of the fusion gene between
promyelocytic leukemia (PML) and the retinoic acid receptor alpha (RARA), are a separate entity of
AML cases, referred to as acute promyelocytic leukemia (APL). APL patients are treated with all- trans
retinoic acid (ATRA) differentiation therapy in combination with arsenic trioxide (ATO), resulting in
overall survival rates around 95%
129. ATRA is a vitamin A derivative that belongs to the best known
examples of a successful targeted treatment and turned APL from a poor prognostic malignancy
into a curable disease
129,130. In APL patients, expression of PML-RARA results in a differentiation
block by repression of genes that regulate differentiation
131. RARs function as molecular switches
by recruiting N-Cor, SMRT and a histone deacetylase (HDAC), resulting in closed chromatin
and transcriptional silencing. Application of ATRA leads to conformational changes of RARs and
release of the transcriptional repressors and recruitment of transcriptional activators such as
the histone acetyl transferase p300. The increase of histone acetylation results in decompressed
chromatin leading to active gene transcription facilitating myeloid differentiation. Various clinical
trials have explored the applicability of ATRA for the non-APL AML subgroups. however, in general
ATRA treatment is not superior over chemotherapy treatment
132,133. Previously, it has been shown
that inhibition of the H3K4 demethylase LSD1 (KDM1A), using tranylcypromine (TCP), can unlock
the ATRA differentiation pathway for non-APL AML indicating the importance of the epigenetic
landscape of AML cells in ATRA sensitivity
134. The combination TCP and ATRA results in expression
of the myeloid differentiation marker CD11b in HL60 cells and reduced primary AML engraftment in
vivo, indicating a novel therapeutic opportunity to extend ATRA based therapy for AML. Recently,
several studies have explored the susceptibility to ATRA in smaller subgroups of AML patients and
reported a partial response to ATRA in vitro as well as in vivo for IDH1 mutant AML
135, NPM1 mutant
AML
136,137and FLT3-ITD
+AML
138. Altogether these data indicate that ATRA sensitivity is determined
on a transcriptional or epigenetic level and treatment of AML patients might work for well-defined
subgroups of AML patients.
O U T L I N E O F T H I S T H E S I S
1
enhancing insulin-like growth factor binding protein 7 (IGFBP7), by overexpression or addition of
recombinant human IGFBP7 (rhIGFBP7), induces apoptosis and enhances chemotherapy sensitivity,
similar as the inhibition of IGF1R activity by a tyrosine kinase inhibitor. The tumor reducing effect of
IGFBP7 is at least partly explained by an IGF1R independent mechanism. Furthermore we report that
low IGFBP7 expression levels are more indicative for a poor overall survival compared to high IGF-1
or high IGF1R expression levels in AML patients.
Since LSCs play a central role in the treatment outcome of AML, the eradication of these cells
at diagnosis, while sparing HSCs, is of critical importance for the development of novel therapeutic
strategies. In chapter 3 we have studied GEPs of LSCs relative to HSCs that are both derived from
the bone marrow of an AML patient. Moreover, we compared GEPs of CD34
+CD38
-leukemic cells
with those of leukemic CD34
+CD38
+cells and identified IGFBP7 as differently expressed. IGFBP7
expression levels correlate with chemotherapy sensitivity and self-renewal capacity. Importantly,
we show that rhIGFBP7 induces differentiation and apoptosis in primary AML cells in vitro and
eradicates LSCs while sparing HSCs. Treatment of AML with rhIGFBP7 in patient derived xenograft
models reduces engraftment and LSC activity, this in contrast to HSCs derived from healthy BM
which remain unaffected by rhIGFBP7 treatment.
In chapter 4 we have studied anthracycline resistance in a subpopulation of myeloid leukemic
cells residing within a sensitive leukemia cell line. This small subpopulation of leukemic cells
possesses stem cell-like features and a reversible drug tolerant state. Using GEP we identified
KDM6B as a potential regulator of this drug tolerant state. Inhibition of KDM6B activity using GSK-J4
resulted in the elimination of the drug-tolerant cells, indicating that KDM6B inhibition might be
a potential successful therapeutic strategy to eliminate stem cell-like chemotherapy resistant
AML cells.
In chapter 5 we explored the effect of ATRA on AML patients that have high expression of
EVI-1. Here we show that part of the EVI-1 positive AML cases respond to ATRA by induction of
differentiation and in some cases induction of apoptosis in vitro. Importantly, we show that EVI-1
positive AML can be successfully treated with ATRA in vivo, suggesting that treatment with ATRA
might be a promising strategy for EVI-1 positive AML patients.
In chapter 6 we have reviewed the current knowledge on susceptibility of non-APL AML for
ATRA. Non-APL AML cases are less sensitive for ATRA therapy as compared to APL, however,
epigenetic reprogramming as well as the identification of biomarkers that predict ATRA response
can potentially change this dogma.
1
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