Krimo Toutah1, Nabanita Nawar1,2, Sanna Timonen3,4,5, Helena Sorger6, Yasir S Raouf1,2, Shazreh Bukhari1,2, Jana von Jan7,8,9, Aleksandr Ianevski5, Justyna M Gawel1, Olasunkanmi O Olaoye1,2, Mulu Geletu1, Ayah Abdeldayem1,2, Johan Israelian1,2, Tudor B Radu1,2, Abootaleb Sedighi1, Muzaffar N Bhatti1, Muhammad Murtaza Hassan1,2, Pimyupa Manaswiyoungkul1,2, Andrew E Shouksmith1, Heidi A Neubauer6, Elvin D de Araujo10, Tero Aittokallio5,11,12, Oliver H Krämer13, Richard Moriggl6, Satu Mustjoki3,4,14, Marco Herling7,8,9, Patrick T Gunning1,2,10. 1. Department of Chemical and Physical Sciences, University of Toronto Mississauga, 3359 Mississauga Road, Mississauga, Ontario L5L 1C6, Canada. 2. Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, Ontario M5S 3H6, Canada. 3. Hematology Research Unit Helsinki, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, 00029 HUS, Finland. 4. Translational Immunology Research Program and Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, 00014 Helsinki, Finland. 5. Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, 00014 Helsinki, Finland. 6. Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, A-1210 Vienna, Austria. 7. Department of Internal Medicine, Center for Integrated Oncology Aachen-Bonn-Cologne-Duesseldorf (CIO ABCD), University of Cologne (UoC), 50923 Cologne, Germany. 8. Excellence Cluster for Cellular Stress Response and Aging-Associated Diseases (CECAD), UoC, 50923 Cologne, Germany. 9. Center for Molecular Medicine Cologne (CMMC), UoC, 50923 Cologne, Germany. 10. Centre for Medicinal Chemistry, University of Toronto Mississauga, 3359 Mississauga Road, Mississauga, Ontario L5L 1C6, Canada. 11. Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, 0424 Oslo, Norway. 12. Oslo Centre for Biostatistics and Epidemiology, University of Oslo, 0316 Oslo, Norway. 13. Department of Toxicology, University Medical Center, 55131 Mainz, Germany. 14. iCAN Digital Precision Cancer Medicine Flagship, 00014 Helsinki, Finland.
Abstract
Epigenetic targeting has emerged as an efficacious therapy for hematological cancers. The rare and incurable T-cell prolymphocytic leukemia (T-PLL) is known for its aggressive clinical course. Current epigenetic agents such as histone deacetylase (HDAC) inhibitors are increasingly used for targeted therapy. Through a structure-activity relationship (SAR) study, we developed an HDAC6 inhibitor KT-531, which exhibited higher potency in T-PLL compared to other hematological cancers. KT-531 displayed strong HDAC6 inhibitory potency and selectivity, on-target biological activity, and a safe therapeutic window in nontransformed cell lines. In primary T-PLL patient cells, where HDAC6 was found to be overexpressed, KT-531 exhibited strong biological responses, and safety in healthy donor samples. Notably, combination studies in T-PLL patient samples demonstrated KT-531 synergizes with approved cancer drugs, bendamustine, idasanutlin, and venetoclax. Our work suggests HDAC inhibition in T-PLL could afford sufficient therapeutic windows to achieve durable remission either as stand-alone or in combination with targeted drugs.
Epigenetic targeting has emerged as an efficacious therapy for hematological cancers. The rare and incurable T-cell prolymphocytic leukemia (T-PLL) is known for its aggressive clinical course. Current epigenetic agents such as histone deacetylase (HDAC) inhibitors are increasingly used for targeted therapy. Through a structure-activity relationship (SAR) study, we developed an HDAC6 inhibitor KT-531, which exhibited higher potency in T-PLL compared to other hematological cancers. KT-531 displayed strong HDAC6 inhibitory potency and selectivity, on-target biological activity, and a safe therapeutic window in nontransformed cell lines. In primary T-PLL patientcells, where HDAC6 was found to be overexpressed, KT-531 exhibited strong biological responses, and safety in healthy donor samples. Notably, combination studies in T-PLL patient samples demonstrated KT-531 synergizes with approved cancer drugs, bendamustine, idasanutlin, and venetoclax. Our work suggests HDAC inhibition in T-PLL could afford sufficient therapeutic windows to achieve durable remission either as stand-alone or in combination with targeted drugs.
Epigenetic regulation
of gene expression in the onset and progression
of cancer has fueled therapeutic strategies against a number of molecular
targets. Histone deacetylases (HDACs) have been identified as targets
for reversing cancer-associated epigenetic states.[1−4] HDACs remove acetyl groups from
the amino-terminal lysine residues of histones and nonhistone proteins.
This can lead to the formation of a condensed chromatin structure
that consequently limits the binding of transcription factors to promoter
sequences. Conversely, histone acetyltransferases (HATs) reverse this
activity by catalyzing the transfer of an acetyl group from acetyl-CoA
to lysine residues.[2,5] These post-translational modifications
have been identified as key regulatory strategies for a multitude
of processes such as signaling networks, gene expression, transcription,
cell cycle, and metabolism pathways. The activity of key regulatory
proteins such as the central tumor suppressor p53, STATs, or HIF family
members as well as key epigenetic regulatory proteins such as p300/CBP
HATs themselves is also modulated by acetylation reactions. Hence,
they also represent important targets of HDAC inhibitors (HDACi).[6−8]The human HDAC superfamily consists of 18 nuclear and cytoplasmic
proteins, distributed into 4 distinct classes according to their sequence
similarity; Class I (1, 2, 3, 8), Class IIa (4, 5, 7, 9), Class IIb
(6, 10), Class III (NAD+-dependent Sir2), and Class IV
(11). Defined nonhistone substrates have been identified for certain
HDAC isoforms.[3,4,7,9,10] In particular,
HDAC6 is responsible for the deacetylation of α-tubulin, HSP90,
Cortactin, and Peroxiredoxin. HDAC6 is also recognized as a KDAC (lysine
deacetylase). As such, HDAC6 plays a key role in microtubule dynamics
and chaperone activities, DNA damage repair pathways, and oncogenicstress responses through the regulation of cell migration, immune-cell
synapse formation, protein trafficking, and degradation.[11−13] The upregulation of HDAC6 activity has been directly correlated
with cellular proliferation, metastasis, and mitosis, highlighting
the impact of this epigenetic regulator in cancer pathogenesis.[11,12,14]In the past two decades,
successful efforts have led to four HDACi
receiving U.S. Food and Drug Administration (FDA) approval for hematological
cancers: vorinostat (SAHA, a), romidepsin (FK-228, b), belinostat (PXD-101, c), and panobinostat
(LBH-589, d), with several in clinical trials (quisinostat, e) (Figure S1a). In general, these
HDACi exhibit broad spectrum HDAC activity, which limits their therapeutic
tolerability owing to side effects such as fatigue, diarrhea, vomiting,
anorexia, asthenia, weight loss, and thrombocytopenia.[19,20] Selective HDACi are hypothesized to minimize side effects associated
with pan-inhibitors.[2,15,16] Since the identification of the first selective HDAC6 inhibitor
tubacin (f) in 2003, a number of HDAC6-selective inhibitors
have been developed, notably tubastatin A (g), ricolinostat
(ACY-1215, h), citarinostat (ACY-241, i)
(Figure S1a), KA2507, and marbostat-100.
Ricolinostat, citarinostat, and KA2507 are currently under evaluation
in advanced clinical trials for hematological and solid tumors.[17−19] Although modest selectivity toward HDAC6 (5–6-fold) has been
achieved over the nearest HDAC family member in vitro, the selectivity profile of these clinical candidates in
vivo remains largely indiscriminatory toward other HDACs.[20] Newer inhibitors such as marbostat-100 have
attained higher selectivity than current clinical candidates and are
well-tolerated in vitro and in vivo.[21,22] The benign phenotype of HDAC6 knockout mice
suggests that HDAC6 inhibition is a safe therapeutic strategy.[23] Overexpression of HDAC6 and confirmed dependency
profiles in multiple hematological malignancies have accelerated preclinical
and clinical studies of HDAC6-selective inhibitors as single agents,
and in combination with lenalidomide, pomalidomide, paclitaxel, bortezomib,
or dexamethasone.[18,20,24−26]T-cell prolymphocytic leukemia (T-PLL) is one
of the most aggressive
forms of hematological neoplasms.[27] Systematic
analysis, largely by sequencing efforts of T-PLL, has revealed insights
into the molecular landscape of this condition, notably through recognition
of recurrent T-cell leukemia 1A (TCL1A) oncogene rearrangements, damaging lesions of the ataxia
telangiectasia mutated (ATM) tumor suppressor
gene, and gain-of-function mutations of Janus-activated kinase–signal
transducer and activator of transcription factor (JAK-STAT)
molecules.[28−33] These functional cancer genomic insights in T-PLL were also validated
biochemically, suggesting that aberrant DNA damage and hyper-cytokine
and -growth factor responses trigger neoplastic T-cell outgrowth.
These responses are associated with fulminant migratory properties
of T-PLL cells, and this migratory T-cell phenotype could be under
HDAC6control.[27,32,34] Improved biological understanding has yet to translate into a therapeutic
application, as patient outcomes remain poor (median overall survival
<20 months), owing to the aggressive tumor growth and insufficient
responses to conventional chemotherapy. The current first-line treatment
for T-PLL, the monoclonal anti-CD52 antibody alemtuzumab, induces
high response rates, although eventual relapses are dominant.[35] Pan-HDACi have received FDA approval for the
treatment of other mature T-cell neoplasms such as cutaneous T-cell
lymphomas (CTCL) and peripheral T-cell lymphomas (PTCL) but not for
T-PLL.[2,36−39]In the absence of drugs
that confer sustained tumorcontrol in
T-PLL, we focused on studying novel HDACi scaffolds for potential
therapeutic use in these patients. Recent in vitro studies in T-PLL have also shown impressive efficacy of pan-HDACi
and marked synergisms with the MDM2 inhibitor idasanutlin.[29,40] The intertwined mechanisms of HDAC inhibition with the activity
of tumor suppressor protein p53, whose repression is a hallmark in
T-PLL, may be contributing to the therapeutic benefit of epigenetic
modulation in this aggressive diseased state.[40−42] Moreover, the
BH3-mimeticvenetoclax (ABT-199) has emerged as a breakthrough in
the treatment of hematologic neoplasms. Venetoclaxcan induce apoptosis
by targeting the B-cell lymphoma 2 (BCL-2) family of proteins. Ex vivo and human studies of T-PLL patients have highlighted
an enhanced sensitivity to venetoclax.[41,43−45]Here, we report the identification of a novel perfluorinatedbenzenesulfonamideHDAC inhibitor, KT-531 (14), which showed high in vitro HDAC6 selectivity (39-fold HDAC6 selectivity; compared
to ∼6-fold selectivity of clinical candidates citarinostat
and ricolinostat) with low nanomolar potency (IC50 = 8.5
nM) against HDAC6 in a functional in vitro activity
assay. Furthermore, KT-531 demonstrated biological potency in multiple
hematological cancercell models (acute myeloid leukemia (AML), PTCL,
and T-cell acute lymphoblastic leukemia (T-ALL)) and limited cytotoxicity
in nonmalignant cell types as well as no observable toxicity in vivo (CD-1 mice). Notably, KT-531 exhibited strong potency
(IC50 = 0.42 μM) in the T-ALL/T-PLL-like cell line
SUP-T11. Data mining using Oncomine revealed HDAC6 was the only HDAC member to be selectively overexpressed in T-PLL
patient samples but not in other mature or immature T-cell malignancies,
supporting the rationale for HDAC6-targeting in treatment of T-PLL.[46] KT-531 was subsequently tested in ten primary
T-PLL patient samples, where it exhibited promising drug sensitivity
scores (DSS), with a therapeutic window for T-PLL over healthy donor-derived
peripheral blood mononuclear cells (PBMCs). Finally, KT-531 showed
high synergy with chemotherapeutic agents idasanutlin, bendamustine,
and venetoclax in T-PLL patient samples, representing a novel, efficacious,
and potentially safer combination for T-PLL treatment. To the best
of our knowledge, KT-531 is the first HDAC6 inhibitor to show efficacy
in T-PLL patient samples.
Results
Chemistry
Herein,
we describe a new class of perfluorinatedbenzenesulfonamideHDAC6-selective inhibitors, which originated from
our recently reported HDAC6-selective inhibitor, JG-265 (1).[47] A comprehensive structure–activity
relationship (SAR) study of 1 was designed to identify
inhibitors that retained/amplified HDAC6 potency and selectivity,
while improving the limited pharmacokinetic (PK) profile which precluded
its advancement to preclinical studies (Figure a,b).[47]
Figure 1
HDACi 1−14 and their in
vitro activity and selectivity profiles. (a) Chemical structures
of HDACi 1–14. (b) Biochemical HDAC
inhibition against recombinant enzymes (Nanosyn) and cellular cytotoxicity
results in MV4-11 (AML) and MRC-9 (healthy fibroblasts). Note: **not
HDAC6 selective, *selectivity ≥ indicated value (beyond limit
of experiment). A color gradient is applied for visualization of differential
HDAC6 activity.
HDACi 1−14 and their in
vitro activity and selectivity profiles. (a) Chemical structures
of HDACi 1–14. (b) Biochemical HDAC
inhibition against recombinant enzymes (Nanosyn) and cellular cytotoxicity
results in MV4-11 (AML) and MRC-9 (healthy fibroblasts). Note: **not
HDAC6 selective, *selectivity ≥ indicated value (beyond limit
of experiment). A color gradient is applied for visualization of differential
HDAC6 activity.Synthetic pathways used to prepare
the final compounds (Figure a) are outlined in Scheme . In order to synthesize
a subset of the desired inhibitor library using Scheme a (upper branch), 4-formyl benzoic acid was
protected using benzyl bromide to form benzyl 4-formylbenzoate (S1) (70%), which was reductively aminated with the appropriate
amines to form the desired secondary amine (S2, S2c) (83%). The corresponding amine was coupled to polyhalogenatedbenzenesulfonyl chloride (S3) via an amine sulfonylation
reaction to yield the sulfonamide precursors (S4a, S4c–S4g, S4i) (61–91%). If the
precursor polyhalogenated benzenesulfonyl chloride (S3) was commercially unavailable, it was synthesized via the sulfonylation
of the corresponding polyhalogenated benzene with chlorosulfonic acid
at 150 °C for 2 h. After removal of the benzylic ester protecting
group (S5a, S5c–S5g, S 5f’, S5i, S5l) (71–98%)
from the sulfonamide precursors, it was coupled to tetrahydropyranyl
(THP) or benzyl-protected hydroxylamines (S6a, S6c–S6g, S6f’, S6i, S6l) (61–76%). A final deprotection
using H2(g), Pd/C, or
4 M HCl (35–81%) yielded the final molecules (2, 3, 5, 7, 9, 11–13).
(a) Reagents and conditions
to synthesize 2–9 and 11–14. (i) BnBr, Cs2CO3,
DMF, RT, 24 h; (a) (i) R–NH2, AcOH, DCE, RT, 2 h;
(ii) NaBH(OAc)3, RT, 16 h; (b) R′SO2Cl,
Et3N, CH2Cl2, 3–16 h, RT;
(c) H2, 10% Pd/C, THF/MeOH (2:1), RT, 16 h; (g) HSO3Cl, 3 h, 150°C; (b) RNH2, Et3N,
CH2Cl2, RT, 3–16 h d) C12H15BrO2, Cs2CO3, DMF, RT, 24 h; e) 4M HCl/dioxane, 0°C-RT, 3 h;
(f) (i) (COCl)2, THF, DMF, 0°C, 1 h; (ii) H2N-OTHP, iPr2NEt, THF, RT, 16 h; (f′)
H2N-OBn, EDCI, HOBt, Et3N, DMF, RT, 16–24
h; (c) H2, 10% Pd/C, THF/MeOH (2:1), RT, 16–24 h;
(e) 4M HCl/dioxane, 0°C-RT, 3 h. b Reagents and
conditions to synthesize 10. (i) BnBr, Cs2CO3, DMF, RT, 24 h; a) (i) cPr-NH2, AcOH, DCE, RT, 2 h; (ii) NaBH(OAc)3, RT, 16 h;
(b) PFBSCl, Et3N, CH2Cl2, 3–16
h, RT; (e) H2, 10% Pd/C, THF/MeOH (2:1), RT, 18 h; (f)
(i) (COCl)2, THF, DMF, 0°C, 1 h; (ii) H2N-OTHP, iPr2NEt, THF, RT, 16 h; (e) H2, 10% Pd/C, THF/MeOH (2:1), RT, 6 h.The
alternate strategy (lower branch of Scheme a) was used to design compounds 4, 6, and 14. Polyfluorobenzenesulfonyl
chloride (prepared as previously described if not commercially available)
was coupled to the respective amines to generate the desired sulfonamides
(S9b–d) (68–83%), which were
subsequently coupled to 4-bromomethylbenzoic tert-butyl ester to form the corresponding tert-butyl
ester-protected benzoic acids (S4b, S11a,b) (27–82%). Following acid-mediated deprotection
(S5b,j,k) (99%), coupling to
O-(Tetrahydro-2H-pyran-2-yl)hydroxylamine yielded the protected hydroxamic
acid (S6b,j,k) (88–98%)
which was readily deprotected to reveal the final compounds 4 (50%), 6 (49%), and 14 (60%).
Compound 1 was generated as previously reported.[47]A similar synthetic route (Scheme b) was utilized to furnish
3-(((N-cyclopropyl-2,3,4,5,6-pentafluorophenyl)sulfonamido)methyl)-N-hydroxybenzamide, by beginning with the benzyl ester protection
of 3-carboxybenzaldehyde (S1b) (98%) and reductively
aminating with cyclopropylamine to yield benzyl 3-((cyclopropylamino)methyl)benzoate
(S2b) (93%). Coupling to pentafluorobenzenesulfonyl chloride
(S4h) (78%) and following the aforementioned deprotection
yielded 3-(((N-cyclopropyl-2,3,4,5,6-pentafluorophenyl)sulfonamido)methyl)benzoic
acid (S5h) (98%). The synthesis was completed through
conversion to the hydroxamate ester (S6h) (70%) and deprotecting
with acid to furnish compound 10 (66.7%).
Structure–Activity
Relationships, In Vitro HDAC Inhibition, and In Cellulo Cytotoxicity
The prepared library (Figure a) was screened against
HDAC3, 6, 8, 11 (representative
of groups I, II, and IV) to determine in vitro activity
inhibition profiles (Figure b).[48,49] Concurrently, cellular activity
was analyzed in a model cancercell line (MV4-11) and healthy fibroblasts
(MRC-9) to correlate biochemical inhibition with cellular potency
and therapeutic window, and other HDACi (SAHA/vorinostat, ricolinostat,
and citarinostat), as well as parent compound 1, were
included for parallel comparison.First, the role of the pentafluorobenzamide
moiety was investigated by substituting it with a pentafluorobenzenesulfonamide
(PFBS), 2. This resulted in a substantial loss of activity
against HDAC6 (IC50[HDAC6] = 389 nM) vs 1 (IC50[HDAC6] = 5.9 nM) and a subsequent loss in cellular potency
(IC50[MV4-11] = 11.07 μM) vs 1 (IC50[MV4-11] = 1.85 μM). The introduction of an acidicsulfonamide group likely incurs unfavorable electrostatic interactions
with tunnel residues. This hypothesis is supported by the N-methylated analogue, 3, being ∼200
fold more potent. Moreover, substitutions on the N-sulfonamide with alkyl groups of different sizes (−CH3, 3; −iPr, 4;
−cPr, 5) showed improved HDAC6 potency
(∼200-fold for 3, ∼100-fold for 4, and ∼430-fold for 5) and cellular IC50’s (0.31–1.04 μM). One of the most notable improvements
included the selectivity jump from 36-fold for the parent compound 1 to 163-fold for 4 (Figure b). Furthermore, 5, with an N-cPr substituent, exhibited picomolar inhibitory
activity (IC50 = 0.9 nM) toward HDAC6.The N-cPr group of 5 was
retained, and the importance of the halogenation and electrophilicity
was explored next. Diminishing cellular cytotoxicity in MV4-11cells
was observed by successively removing of fluorine atoms from 5. Although mono-, tri-, and tetrafluorobenzenesulfonamides
(6–9) retained biochemical HDAC6
inhibition (IC50 = 8–14 nM), cellular efficacy was
reduced by ∼5–10-fold (IC50 = 5–9
μM), suggesting that substitution of the phenyl sulfonamide
ring is important for biological activity. HDAC selectivity profiles
ranged from 20-fold for 8 to 163-fold for 4. Selectivity toward HDAC isoforms was modulated by varying the position
of the hydroxamic acid, specifically, para- to meta-, which switched selectivity toward HDAC8 (4-fold)
(10).Although covalent modification of HDAC6 was
not observed (Figure S2), the PFBS group
is susceptible to
nucleophilic aromatic substitution by biological nucleophiles. A previously
described high-throughput in vitro glutathione-reactivity
assay was conducted, where compounds were incubated in the presence
of glutathione (GSH) and the formation of a GSH-compound adduct was
monitored over time via LC/MS/MS.[50] Fluorinated
analogues 3 and 4 were found to react readily
with glutathione, which precluded further advancement (Table S1a). The exceptional picomolar HDAC6 potency
of 5 and moderate GSH stability (half-life of 20 min)
warranted further ADME analysis. In hepatocytes, 5 was
cleared rapidly, with a half-life of 3 min (Table S1b). In contrast, 6, lacking the para F, was unreactive toward GSH (Table S1a). However, in mouse plasma, 6 had a low half-life of
25 min (Table S2a).We next investigated
strategies to improve stability by reducing
the electrophilicity of the perfluorinatedcap group. The phenyl group
was substituted with a variety of halogencombinations (11–14). A homologue of 5, missing
the 4-fluoro substituent, 13, showed significantly reduced
potency toward HDAC6 (∼700-fold). The loss of HDAC6 inhibition
was concomitant with reduced biological activity in the cytotoxicity
experiments. Analogues where fluorine substituents were replaced with
less electronegative chlorine atoms exhibited comparable HDAC6 inhibition
and cellular activity, but reduced selectivity. Inhibitor 14 (KT-531) (Figure a), with a tetrafluorobenzene substituent led to a substantial increase
in stability. While no discernible reactivity with GSH was observed
after 24 h (Table S1a), KT-531 showed cellular
activity (IC50 [MV4-11] = 0.42 μM), single digit
nanomolar potency for HDAC6 (IC50 = 8.5 nM), and a promising
selectivity profile (39-fold over the next closest target, HDAC8)
(Figure b). KT-531
exhibited a superior in vitro profile when compared
to the current literature HDAC6 inhibitor, Nexturastat, which had
comparable HDAC6 potency (IC50 = 12.4 nM) but a lower selectivity
margin (19-fold; next nearest target HDAC3 with IC50 =
238 nM) (Table S2b).[51,52] KT-531 also demonstrated higher cytotoxicity than Nexturastat in
MV4-11cancercells (IC50-Nexturastat = 1.68 μM,
IC50-KT-531 = 0.42 μM) (Table S2b, Figure b).
Figure 2
In vitro and in silico confirmation
of superior HDAC6-selectivity and potency of compound 14 (KT-531). (a) X-ray crystal structure of 14. (b) Dose–response
curve representing the percent inhibition and HDAC6 selectivity of
citarinostat against HDAC2–4,6,8,11 via EMSA activity assay
(Nanosyn). (c) Dose–response curve representing the percent
inhibition and HDAC6-selectivity of 14 against HDAC1–11.
(d) In vitro HDAC inhibition IC50 values
of citarinostat (i) and 14 against HDAC1–11. A
color gradient is applied for visualization of differential activity.
(e) In silico docking binding pose of 5 in human HDAC6 (PDB 5EDU), with Zn2+ (yellow sphere), hydrogen bonds
(yellow dashed line), π–π stacking (green dashed
line), and salt bridges (purple dashed line) (N, blue; O, red; C,
green; F, blue-green). Catalytic triad residues and portions of the
protein have been omitted for clarity. (f) In silico docking binding pose of 14 in human HDAC6 (PDB 5EDU), with Zn2+ (yellow sphere), hydrogen bonds (yellow dashed line), π–π
stacking (green dashed line), and salt bridges (purple dashed line)
(N, blue; O, red; C, yellow; F, green). Catalytic triad residues and
portions of the protein have been omitted for clarity. (g) In silico docking binding pose of 14 in human
HDAC8 (PDB 1T64).
In vitro and in silico confirmation
of superior HDAC6-selectivity and potency of compound 14 (KT-531). (a) X-ray crystal structure of 14. (b) Dose–response
curve representing the percent inhibition and HDAC6 selectivity of
citarinostat against HDAC2–4,6,8,11 via EMSA activity assay
(Nanosyn). (c) Dose–response curve representing the percent
inhibition and HDAC6-selectivity of 14 against HDAC1–11.
(d) In vitro HDAC inhibition IC50 values
of citarinostat (i) and 14 against HDAC1–11. A
color gradient is applied for visualization of differential activity.
(e) In silico docking binding pose of 5 in human HDAC6 (PDB 5EDU), with Zn2+ (yellow sphere), hydrogen bonds
(yellow dashed line), π–π stacking (green dashed
line), and salt bridges (purple dashed line) (N, blue; O, red; C,
green; F, blue-green). Catalytic triad residues and portions of the
protein have been omitted for clarity. (f) In silico docking binding pose of 14 in human HDAC6 (PDB 5EDU), with Zn2+ (yellow sphere), hydrogen bonds (yellow dashed line), π–π
stacking (green dashed line), and salt bridges (purple dashed line)
(N, blue; O, red; C, yellow; F, green). Catalytic triad residues and
portions of the protein have been omitted for clarity. (g) In silico docking binding pose of 14 in human
HDAC8 (PDB 1T64).The binding kinetics profile of
KT-531 was also investigated by
determining the association (kon)/dissociation
(koff) rates as well as residence time
parameters. The in vitro residence time (1/kobs) for the KT-531–HDAC6complex was
determined to be 23.18 min, as compared to 10.72 min for 1. This is a significant improvement over 5, which exhibited
a residence time of 1.09 min (Table S3).
Reversible ligand binding was confirmed for 5 and 14 with unchanged IC50 values in the 6 h time-dependent
assay (Figure S2). The Ki of KT-531 for HDAC6 was determined to be 17.3 nM in
a time-dependent inhibition Kon experiment
(Figure S3).The selectivity profile
of KT-531 for all HDAC families (Class
I, II, and IV) was determined using an activity-based EMSA assay (Nanosyn,
USA). KT-531 showed a clean selectivity profile, with an IC50 of >1000 nM for HDAC1–5, 7, and 9–11 and modest
potency
against HDAC8 (IC50 = 334 nM). This ∼40-fold selectivity
was higher than that of HDAC6-selective clinical candidates, ricolinostat
and citarinostat (both 5–6-fold selective, Figures b and 2b–d). Unlike KT-531, both clinical candidates inhibit Class
I HDACs, specifically HDAC3 (IC50 of citarinostat = 12.5
nM).
In Silico Modeling and Docking Studies
Docking simulations between hsHDAC6 (PDB 5EDU, catalytic domain
2) and 5 using Schrödinger’s Maestro v11.9
(Schrödinger, LLC, New York, 2019) were performed to understand
the role of the PFBS ring in deriving potency toward HDAC6 (Figures e and S4).[53−55] The core interactions in the
catalytic tunnel included sandwich-type π–π interactions
of 5 with Phe620 and Phe680, coupled with an additional
T-shaped π–π stacking of the PFBS ring with Phe679
(Figure e). Hydrogen
bonding interactions between the fluorine substituents and the nearby
backbone of Phe679 likely contributes to the increase in overall affinity.
The flexible sulfonyl center and the benzylic −CH2– kink atom serve to accommodate these interactions (ΔGB = −8.84 kcal mol–1). The fluorine atoms were deemed crucial for efficacy and HDAC6
pocket-occupancy, as replacement of the para fluorine
to a chlorine atom led to a significant decline in potency (∼77-fold
loss in potency from 0.9 to 70 nM). Through docking simulations of 13, loss of activity was predicted to be due to the bulkier
chlorine substituent not being well accommodated in the HDAC6catalytic
tunnel outlet (ΔGB = −6.67
kcal mol–1) (Figure S5).Similar analyses of 14 (KT-531), showed the
same key interactions with Phe620 and Phe680 in the HDAC6 pocket (ΔGB = −8.30 kcal mol–1), and hydrogen bonding with the nearby Phe679amide, despite the
loss of F (Figure f). When docked in the HDAC8catalytic pocket, KT-531 lost the tunnel
π–π stacking interactions, and only retained a
T-shaped stacking interaction with the proximal Tyr100 (ΔGB = −5.70 kcal mol–1) (Figure g). The
fluorinated ring was unable to effectively bind to the opening of
a catalytic tunnel characterized by an intractable, sterically hindered
topology. Although π–F interactions are also likely,
Maestro does not have the functionality to distinguish such interactions.
Overall, these findings provide a structural rationale for the high
potency of KT-531 toward HDAC6 (IC50 = 8.5 nM), and the
corresponding lower affinity toward HDAC8 (IC50 = 334 nM).
In Cellulo Pharmacology
KT-531 was
examined for its ability to induce acetylation of α-tubulin,
a prominent substrate of HDAC6, and histone H3 (HDACClass I substrate).[56] Initially, model cancercells (HeLa) were subjected
to 6 h incubation with increasing doses of KT-531 or citarinostat
and target engagement was analyzed via immunofluorescence assays.
In KT-531-treated cells, significant acetylation of α-tubulin
was observed, with no observable change in acetylation of histone
H3 (Figure a,b). Citarinostat
induced weaker acetylation as compared to KT-531 (Figure c,d).
Figure 3
In cellulo pharmacology of compound 14 (KT-531) in comparison
to citarinostat. (a) Immunofluorescence analysis
of α-tubulin acetylation and histone H3 acetylation following
6 h treatment of KT-531 in cells. (acetylated α-tubulin in red,
acetylated histone H3 in green, and nuclear stain DAPI in blue). This
data is representative of three independent experiments. (b) Quantification
of fluorescent signals that correspond to levels of acetylated α-tubulin
and acetylated histone H3 in cells dosed with KT-531 at indicated
concentrations. (c) Immunofluorescence analysis of α-tubulin
acetylation and histone H3 acetylation following 6 h treatment of
citarinostat in cells (acetylated α-tubulin in red, acetylated
histone H3 in green, and nuclear stain DAPI in blue). This data is
representative of three independent experiments. (d) Quantification
of fluorescent signals that correspond to levels of acetylated α-tubulin
and acetylated histone H3 in cells dosed with citarinostat at indicated
concentrations. *p ≤ 0.05; ****p ≤ 0.001; ns, nonsignificant; two-way ANOVA with Tukey’s
multiple comparisons test. (e) Western blot illustrating α-tubulin
acetylation and histone H3 acetylation levels in MV4-11 AML cells
following 6 h treatment with varying concentrations of KT-531 and
clinical candidate citarinostat (i). Protein extracts were prepared,
resolved by SDS-PAGE and immunoblotted with acetylated α-tubulin,
acetylated histone H3, and HSC70 antibodies. A representative Western
blot of three independent experiments is shown.
In cellulo pharmacology of compound 14 (KT-531) in comparison
to citarinostat. (a) Immunofluorescence analysis
of α-tubulin acetylation and histone H3 acetylation following
6 h treatment of KT-531 in cells. (acetylated α-tubulin in red,
acetylated histone H3 in green, and nuclear stain DAPI in blue). This
data is representative of three independent experiments. (b) Quantification
of fluorescent signals that correspond to levels of acetylated α-tubulin
and acetylated histone H3 in cells dosed with KT-531 at indicated
concentrations. (c) Immunofluorescence analysis of α-tubulin
acetylation and histone H3 acetylation following 6 h treatment of
citarinostat in cells (acetylated α-tubulin in red, acetylated
histone H3 in green, and nuclear stain DAPI in blue). This data is
representative of three independent experiments. (d) Quantification
of fluorescent signals that correspond to levels of acetylated α-tubulin
and acetylated histone H3 in cells dosed with citarinostat at indicated
concentrations. *p ≤ 0.05; ****p ≤ 0.001; ns, nonsignificant; two-way ANOVA with Tukey’s
multiple comparisons test. (e) Western blot illustrating α-tubulin
acetylation and histone H3 acetylation levels in MV4-11AMLcells
following 6 h treatment with varying concentrations of KT-531 and
clinical candidate citarinostat (i). Protein extracts were prepared,
resolved by SDS-PAGE and immunoblotted with acetylated α-tubulin,
acetylated histone H3, and HSC70 antibodies. A representative Western
blot of three independent experiments is shown.Next, KT-531-treatment of a hematopoieticcancercell line, MV4-11,
revealed that, at higher inhibitor concentrations, acetylated α-tubulin
levels were comparable between citarinostat and KT-531 (Figures d and 3e). Off-target acetylated histone H3 levels were higher with citarinostat
in comparison to KT-531, aligning with in vitro findings
(Figures d and 3e).To understand the origin of the cytotoxic
activity, fluorescence-activated
cell sorting (FACS) was employed to evaluate KT-531 (Figure a,b). Annexin V/PI staining
revealed 15% of cells underwent early apoptosis (Annexin V+/PI) upon
18 h treatment with 0.5 μM KT-531, in contrast to 9% for citarinostat
at the same dose (Figures c and S6). At 2 μM KT-531,
only 8% of cells remained healthy and nonapoptotic, whereas 47% of
cells remained as nonapoptotic following 2 μM treatment with
citarinostat. Similar trends were observed for late apoptotic populations
(Annexin V+/PI+) (22% for KT-531 versus 10% for citarinostat at a
1 μM dose). Cleavage of PARP-1 and Caspase-3 at 0.5 μM
treatment of KT-531confirmed the apoptotic response signature (Figure d). The absence of
cleaved Caspase-3 and PARP-1 at higher concentrations of citarinostat
(5 μM) recapitulated FACS findings that KT-531 (14) induces apoptosis more strongly than the clinical molecule (Figure S7).
Figure 4
Compound 14 (KT-531) induces
apoptosis in a dose-dependent
manner. (a) Flow cytometric data of MV4-11 cells treated with increasing
concentrations of KT-531 (0–4 μM) for 18 h and analyzed
for apoptosis via Annexin V/PI staining. Representative dot blots
from three independent experiments are presented. (b) Percentage of
cell populations in healthy, early apoptosis, and late apoptosis phases
following treatment with KT-531 for 18 h at indicated concentrations.
(c) Percentage of cell populations in healthy, early apoptosis, and
late apoptosis phases following treatment with citarinostat for 18
h at indicated concentrations. Flow cytometric data for citarinostat
is available in Figure S6. (d) Cleavage
of caspase-3 and PARP-1 upon dose-escalation of KT-531 for 6 h in
MV4-11 cells. Protein extracts were prepared and subjected to SDS-PAGE
and immunoblotting with procaspase 3, cleaved caspase-3, PARP-1, cleaved
PARP-1, and HSC70 antibodies. A representative Western blot of three
independent experiments is shown. Data for citarinostat is available
in Figure S7.
Compound 14 (KT-531) induces
apoptosis in a dose-dependent
manner. (a) Flow cytometric data of MV4-11cells treated with increasing
concentrations of KT-531 (0–4 μM) for 18 h and analyzed
for apoptosis via Annexin V/PI staining. Representative dot blots
from three independent experiments are presented. (b) Percentage of
cell populations in healthy, early apoptosis, and late apoptosis phases
following treatment with KT-531 for 18 h at indicated concentrations.
(c) Percentage of cell populations in healthy, early apoptosis, and
late apoptosis phases following treatment with citarinostat for 18
h at indicated concentrations. Flow cytometric data for citarinostat
is available in Figure S6. (d) Cleavage
of caspase-3 and PARP-1 upon dose-escalation of KT-531 for 6 h in
MV4-11cells. Protein extracts were prepared and subjected to SDS-PAGE
and immunoblotting with procaspase 3, cleaved caspase-3, PARP-1, cleaved
PARP-1, and HSC70 antibodies. A representative Western blot of three
independent experiments is shown. Data for citarinostat is available
in Figure S7.
Therapeutic Potential of KT-531 in T-Cell Neoplasms
Similarities
in the mutational landscape of myeloproliferative and
lymphoid neoplasms suggest that similar treatments might be effective.[57,58] Since biological activity was demonstrated in AML, KT-531 was further
assessed in a collection of PTCL (n = 8) and T-ALL
(n = 3) model cell lines covering various subtypes
to understand if efficacy was transferable (Figure ).
Figure 5
KT-531 shows selective cellular cytotoxicity
in PTCL malignancies.
Heat map of IC50 values calculated from drug response analysis
of KT-531 (14) and citarinostat from one representative
out of three independent experiments. Cell lines are classified according
to the respective disease subtype. Abbreviations: AML, acute myeloid
leukemia; ANKL, aggressive NK-leukemia; LGL, large granular lymphocyte
leukemia; T-NHL, T-cell non-Hodgkin’s lymphoma; ALK+ ALCL, anaplastic large cell lymphoma (anaplastic lymphoma kinase
positive); CTCL, cutaneous T-cell lymphoma; T-ALL, T-cell acute lymphoblastic
leukemia.
KT-531 shows selective cellular cytotoxicity
in PTCL malignancies.
Heat map of IC50 values calculated from drug response analysis
of KT-531 (14) and citarinostat from one representative
out of three independent experiments. Cell lines are classified according
to the respective disease subtype. Abbreviations: AML, acute myeloid
leukemia; ANKL, aggressive NK-leukemia; LGL, large granular lymphocyte
leukemia; T-NHL, T-cell non-Hodgkin’s lymphoma; ALK+ ALCL, anaplastic large cell lymphoma (anaplastic lymphoma kinase
positive); CTCL, cutaneous T-cell lymphoma; T-ALL, T-cell acute lymphoblasticleukemia.KT-531 displayed selective cytotoxicity
in different PTCL cell
lines. A striking observation of this screen in PTCL and T-ALL models
was the indiscriminate behavior of citarinostat toward all branches
of these malignancies, in contrast to the more selective cellular
behavior of KT-531 in certain subtypes. Unlike citarinostat and FDA-approved
pan-HDACi romidepsin and vorinostat, KT-531 was not very active in
CTCL models, such as Myla and Hut78 (Figure ).[40,43,59] Another distinction of KT-531 from citarinostat was its strong activity
in the T-ALL/T-PLL-like cell line SUP-T11 (IC50 of 0.42
μM; 9-fold more potent than citarinostat). SUP-T11 (derived
from a patient with mature T-ALL) harbors a TRA/TRD-TCL1A translocation
and consequent aberrant expression of the TCL1A protein, which is
considered the genetic hallmark of T-PLL. SUP-T11 is, hence, the closest
T-PLL-model derived from a patient so far.[57,59,60] These findings also correlate with the HDAC6
mRNA expression levels available in Broad Institute CancerCell Line
Encyclopedia (CCLE; Figure S8). The poor
activity of KT-531 in Hut78cells is consistent with the relatively
low HDAC6 expression. The highest sensitivity to KT-531 was observed
for T-ALL cell models SUP-T11, DND-41 and MOLT4, which had much higher
HDAC6 expression levels. Indeed, the sensitivity of HDAC6 inhibitor
KT-531 exhibits significant correlation with the available HDAC6 mRNA
expression levels in T-cell lines (R2 =
0.9119, Figure S8b).The inhibitors
were also assessed in nontransformed cellular systems
to determine their therapeutic window. KT-531 displayed an IC50 of 22 μM in MRC-9 (lung) cells, revealing a clear
therapeutic window. This supports the improved safety profile of HDAC6-targeting
inhibitors compared to pan-HDACi. NHF (normal human fibroblasts),
HUVEC (primary human umbilical vein endothelial cells), and pPF (primary
pooled fibroblasts from 250 donors) were also assessed against citarinostat
and KT-531, and while still possessing a therapeutic window both molecules
were significantly more potent in these normal cell types (Figure a). The cellular
safety margins for KT-531 are comparable to those of citarinostat
and the FDA-approved HDACi SAHA (vorinostat) and belinostat (Figure a, Table S4). In addition, the safety of KT-531 was tested in vivo with a 5 day treatment of CD-1 mice (20 mg/kg via
P.O. (oral administration)), which revealed no visible signs of toxicity
or weight loss (Figure b).
Figure 6
Preclinical findings show promising therapeutic window and pharmacokinetic
properties of 14 (KT-531). (a) Cytotoxicity of KT-531
(14) and citarinostat in healthy noncancerous cell lines
(MRC-9, normal human fibroblasts (NHF), human umbilical vein endothelial
cells (HUVEC), primary pooled fibroblasts from 250 donors (pPF)).
(b) Average mouse weight of CD-1 mice (20 mg/kg, P.O.) dosed with
KT-531 (14) and vehicle daily for 5 days. (c) Pharmacokinetic
assessment of KT-531 (14) in mouse hepatocytes, PAMPA
assay, mouse plasma and in vivo in CD-1 mice (IP,
20 mg/kg).
Preclinical findings show promising therapeutic window and pharmacokinetic
properties of 14 (KT-531). (a) Cytotoxicity of KT-531
(14) and citarinostat in healthy noncancerous cell lines
(MRC-9, normal human fibroblasts (NHF), human umbilical vein endothelial
cells (HUVEC), primary pooled fibroblasts from 250 donors (pPF)).
(b) Average mouse weight of CD-1 mice (20 mg/kg, P.O.) dosed with
KT-531 (14) and vehicle daily for 5 days. (c) Pharmacokinetic
assessment of KT-531 (14) in mouse hepatocytes, PAMPA
assay, mouse plasma and in vivo in CD-1 mice (IP,
20 mg/kg).
HDAC Expression in T-PLL
Tumor Cells
Oncomine database
mining of published T-PLL patient gene expression data in relation
to healthy T-cells revealed specific overexpression of HDAC6 (1.7-fold) compared to other HDAC family members in T-PLL (Figure a).[46,59] Interestingly, no increase in HDAC6 expression
levels was observed in available data sets of patients with other
mature or immature T-cell malignancies, including anaplastic large
cell lymphoma (ALCL), angioimmunoblastic T-cell lymphoma (AITL), PTCL
not otherwise specified (PTCL-NOS), and T-ALL (Figure b), suggesting that HDAC6 overexpression may be specific to T-PLL cancer. These data support
the hypothesis that HDAC6could be a beneficial target in T-PLL, and
adverse effects of pan-HDAC inhibition could be minimized through
the specific abrogation of HDAC6.
Figure 7
HDAC6 is significantly overexpressed in
T-PLL patient samples,
but not in other T-cell cancers. (a) mRNA expression levels of various HDAC genes (1–6, 9, and 11) in T-cell prolymphocytic
leukemia (T-PLL) patient samples, compared to healthy T-cell (CD3+) control samples. Data were extracted from the Oncomine Platform,
from the Durig Leukemia data set. HDAC7, 8, and 10 expression levels were not reported
in this data set. ns; not significant (p > 0.05).
(b) mRNA expression levels of HDAC6 in various T-cell
neoplasia patient samples, compared to healthy control cells (from
left to right, Eckerle Lymphoma: NK cell, T-cell, NK/T-cell; Piccaluga
Lymphoma: CD4+ T-cell, CD8+ T-cell, T-cell;
Zhang Leukemia: hematogone, bone marrow; Haferlach Leukemia: peripheral
blood mononuclear cells). Data were extracted from the Oncomine Platform,
from the Eckerle Lymphoma, Piccaluga Lymphoma, Zhang Leukemia, and
Haferlach Leukemia data sets. All comparisons have a p-value > 0.05 and/or a fold-change of ≤1.2 and are not
considered
significant. Representation: boxes as interquartile range, horizontal
line as the mean, and whiskers as lower and upper limits. Abbreviations:
ALCL, anaplastic large cell lymphoma; ALK, anaplastic lymphoma kinase;
PTCL-NOS, peripheral T-cell lymphoma, not otherwise specified; AITL,
angioimmunoblastic T-cell lymphoma; NK, natural killer.
HDAC6 is significantly overexpressed in
T-PLL patient samples,
but not in other T-cell cancers. (a) mRNA expression levels of various HDAC genes (1–6, 9, and 11) in T-cell prolymphocyticleukemia (T-PLL) patient samples, compared to healthy T-cell (CD3+) control samples. Data were extracted from the Oncomine Platform,
from the Durig Leukemia data set. HDAC7, 8, and 10 expression levels were not reported
in this data set. ns; not significant (p > 0.05).
(b) mRNA expression levels of HDAC6 in various T-cell
neoplasiapatient samples, compared to healthy control cells (from
left to right, Eckerle Lymphoma: NK cell, T-cell, NK/T-cell; Piccaluga
Lymphoma: CD4+ T-cell, CD8+ T-cell, T-cell;
Zhang Leukemia: hematogone, bone marrow; Haferlach Leukemia: peripheral
blood mononuclear cells). Data were extracted from the Oncomine Platform,
from the Eckerle Lymphoma, Piccaluga Lymphoma, Zhang Leukemia, and
Haferlach Leukemia data sets. All comparisons have a p-value > 0.05 and/or a fold-change of ≤1.2 and are not
considered
significant. Representation: boxes as interquartile range, horizontal
line as the mean, and whiskers as lower and upper limits. Abbreviations:
ALCL, anaplastic large cell lymphoma; ALK, anaplastic lymphoma kinase;
PTCL-NOS, peripheral T-cell lymphoma, not otherwise specified; AITL,
angioimmunoblastic T-cell lymphoma; NK, natural killer.
KT-531 Shows Anticancer Activity and Therapeutic Margin in T-PLL
Patient Samples
A high-throughput ex vivo drug sensitivity and resistance testing (DSRT) platform covering
306 approved and investigational oncology drugs has identified a potential
therapeutic role for HDACi in T-PLL.[61] Drug
sensitivity scores (DSS) that capture and integrate multiparametric
dose–response relationships into a single metric have previously
identified T-PLL selective drug responses of FDA-approved HDACi panobinostat
and belinostat.[61,62] Therefore, we performed similar
studies with KT-531 on primary T-PLL patient samples.In comparison
to the pan-HDACi, vorinostat (SAHA), KT-531 resulted in a more potent
drug response (p = 0.0007; Wilcoxon test), which
was also comparable to other pan-HDACi, belinostat and tinostamustine
(EDOS101) (Figure a). Anticancer effects of HDACi have been synergistically potentiated
by other chemotherapeutic agents in hematopoietic cancers.[63−66] Combinations of KT-531 with promising investigational drugs for
T-PLL, notably idasanutlin, bendamustine, and venetoclax, were performed
to identify potential synergisms. All combinations revealed synergistic
relationships in patient samples, highlighting that HDAC inhibition
may offer potential advantages in T-PLL (Figure b).[67] Comparison
of the potency in T-PLL patient samples to potency in PBMCs from healthy
donors revealed a therapeutic margin for this novel combination of
HDACi and venetoclax (Figure c). Collectively, the data supports the hypothesis that HDAC6
inhibition, alone or in drug combination, could be a promising therapy
for T-PLL.
Figure 8
KT-531 (14) shows promising efficacy and safety in
T-PLL primary patient samples. (a) Drug sensitivity scores (DSS)[62] of selected HDACi in T-PLL primary patient samples.
(b) Box plot of T-PLL synergy scores of KT-531 (14) with
bendamustine, idasanutlin, and venetoclax in T-PLL patient samples.
(c) Box plot of combination potency cropped to TC50 (toxic concentration
in 50% of PBMC population) of KT-531 (14) and venetoclax
in T-PLL patient samples and healthy PBMC controls.
KT-531 (14) shows promising efficacy and safety in
T-PLL primary patient samples. (a) Drug sensitivity scores (DSS)[62] of selected HDACi in T-PLL primary patient samples.
(b) Box plot of T-PLL synergy scores of KT-531 (14) with
bendamustine, idasanutlin, and venetoclax in T-PLL patient samples.
(c) Box plot of combination potency cropped to TC50 (toxicconcentration
in 50% of PBMC population) of KT-531 (14) and venetoclax
in T-PLL patient samples and healthy PBMCcontrols.
Pharmacokinetic Studies
A preliminary in vitro ADME assessment of selected inhibitors was conducted. The pentafluorobenzene-sulfonamide
analogue (5) exhibited a poor stability profile (t1/2 = ∼20 min in incubation with GSH, t1/2 < 2.26 min in mouse hepatocytes, t1/2 = 3.84 min in human hepatocytes, Table S1b). However, the removal of more than
one fluorine from 5 was shown to be detrimental for antileukemic
activity (6–9), leaving KT-531 as
the most prominent lead for initial PK evaluation. Notably, no discernible
SNAr reaction with GSH was observed with KT-531 within
24 h of incubation (Table S1a).The
parallel artificial membrane permeability assay (PAMPA) and human
plasma were used to evaluate the permeability and stability of compound
KT-531, respectively. A −log Pe value of 5.44 was reported for KT-531 in the PAMPA assay,
and t1/2 of 37 min in mouse hepatocytes
and 41 min in human plasma showed promise for in vivo bioavailability (Figure c). In vivo pharmacokinetic studies on KT-531
were performed via intraperitoneal (IP) administration of compound
in male CD-1 mice, at a dose of 20 mg/kg. Compound KT-531 reached
a maximum concentration (Cmax) of 493
ng/mL, with t1/2 of 63 min and an overall
exposure of 1576 h·ng/mL (Figure c). In comparison, and under the same conditions, citarinostat
was reported to have a shorter t1/2 of
15 min but higher Cmax and overall exposure
(Cmax = 5640 ng/mL, AUC = 4163 h·ng/mL; Figure S9), supporting the hypothesis that citarinostat
is a more readily absorbed compound.
Discussion and Conclusion
T-PLL is a very aggressive T-cell malignancy that does not benefit
from “classical treatments” and urgently demands rationally
designed targeted therapies. Available treatment options do not prevent
inevitable patient relapses, and a novel treatment approach specifically
tailored to treat T-PLL may resolve the hurdles of short survival
(<20 months) and absence of curative therapy. The promising efficacy
but limited tolerability of pan-HDAC inhibitors in this group of patients
highlights the need to selectively and safely target the T-PLL-relevant
HDAC isoforms. Critically, only the HDAC6 isozyme
of the HDAC family of enzymes was found to be overexpressed in primary
T-PLL patient samples.A comprehensive SAR study led to the
identification of a preclinical
candidate, KT-531 which demonstrated exceptional anticancer effects
in T-PLL. This lead candidate exhibited (i) nanomolar inhibition of
HDAC6 in a functional EMSA assay (IC50 = 8.5 nM), (ii)
39-fold in vitro selectivity for HDAC6 over other
HDAC isozymes, and (iii) inhibition of cellular proliferation in a
variety of hematologic model cell lines (AML, PTCL, T-ALL) while possessing
a therapeutic window in heathy cells (MRC-9, NHF, pPF, HUVEC) and
safety in 5 day toxicity trials in CD-1 mice. Since HDAC8 was the
next nearest target of KT-531, HDAC8 selective inhibitors published
in the literature were tested and used as control compounds to ensure
that biological activity is not reliant on HDAC8 inhibition. Both
PCI-34051 (120-fold selective for HDAC8) and MMH-410 (15-fold selective
for HDAC8) exhibited nanomolar HDAC8 potency but no observable activity
in MV4-11 and MRC9cells (Table S5).[68,69] Given the established pathogenetic role of HDAC modulation in AML
and PTCL, cell lines representing these disease types were used to
profile the library and investigate the cellular pharmacology of KT-531.The promising cellular potency of KT-531 in the T-PLL quasi-model
SUP-T11 prompted further investigation in this novel indication. The
absence of activity in some branches of hematological neoplasms, such
as CTCL, indicated that the higher selectivity of KT-531 in contrast
to FDA-approved pan-HDAC drugs may be driving its unique and selective
cytotoxicity profile. KT-531 exhibited comparable potency to clinically
used HDACi, belinostat and vorinostat, in T-PLL patientcells, with
a significant therapeutic window when compared to cytotoxicity in
treated PBMCs from healthy donors. Given the well-validated synergism
displayed by epigenetic agents with other compounds, KT-531 was tested
in combination with promising investigational drugs for T-PLL, namely,
idasanutlin, bendamustine, and venetoclax. The marked synergy of all
pairings supports the clinical combination of more selective HDAC6i
with these chemotherapeutic agents.When coupled with the reported
increased frequency of upregulated HDAC6, as compared
to other HDAC isoforms in primary T-PLL
patientcells, HDAC6i is a potential therapeutic avenue in this incurable
condition and warrants more in-depth exploration. Further studies
are necessary to explain the superior effects of KT-531 over citarinostat.
Although the in cellulo and in vitro studies support KT-531 as a more HDAC6-selective inhibitor than
citarinostat, the ∼39-fold HDAC6 enzymatic selectivity of KT-531
is not fully translated with same selectivity margins in cells. This
is evident from the Western blots, where acetylation levels of histone
H3 were concomitant with acetylation levels of α-tubulin, suggesting
that the mechanism of action may not be solely dependent on HDAC6
inhibition. Such weak cellular selectivity profiles are common, as
observed in multiple clinical trials of the modestly HDAC6-selective
drug candidate ricolinostat where acetylation of histones was similar
to acetylation of α-tubulin.[20,26] Based on the
data generated, an HDACi combination approach will be investigated
in preclinical models of T-PLL, specifically through development of
HDAC6 inhibitors with greater cellular selectivity and enhanced pharmacokinetic
properties. Subsequent studies will be focused on deciphering the
functional significance and mechanism of action of selective HDAC6
inhibition in T-PLL.
Experimental Section
General
Procedures
All solvents and chemicals were
used as purchased without further purification. Reactions were carried
out in oven-dried glassware and monitored by thin-layer chromatography
(TLC) using Merck silica gel 60 F254 on aluminum sheets
(visualized by 254/365 nm UV light and/or staining with KMnO4). Column chromatography was carried out using Biotage Isolera One
and Isolera Prime purification systems, with industry-standard SNAP
10, 25, 50, and 100 g cartridges loaded with 40–60 μm
silica gel from VWR International (average pore size 60 Å), eluting
at 12–40 mL/min and detecting compounds by UV measuring at
254 and 298 nm. Semipreparative HPLC was conducted using a Waters
2487 Dual λ Absorbance Detector, equipped with a Symmetry C18
4.6 mm × 150 mm cartridge. Compounds were detected by UV at 254
nm with sensitivity set to between 0.0001 and 4.0000 AUFS (default
settings), eluting at 20 mL/min and using gradient mixtures of (A)
Milli-Q water with 0.1% (v/v) TFA and (B) HPLC-grade acetonitrile.Inhibitor purity was evaluated by using a Hewlett-Packard Series
1100 analytical HPLC system fitted with a Phenomenex Luna 5.0 μm
C18 4.6 mm × 150 mm cartridge, with eluent flow set at 1.200
mL/min and using gradient mixtures of (A) Milli-Q water with 0.1%
(v/v) TFA and (B) HPLC-grade acetonitrile. Retention times for the
target compound are given, followed by purities in their respective
order. Biologically evaluated compounds are ≥95% chemically
pure.A 400 MHz Bruker NMR instrument was utilized to obtain 1H, 13C, and 19F NMR spectra in CDCl3 (99.8 atom % D), CD3CN (99.8 atom % D), or MeOH-d4 (99.8 atom % D), as indicated (1H at 400 MHz, 13C at 100 MHz, and 19F at 54
MHz, unless otherwise stated). Samples were analyzed with 16 scans
for 1H, 256 scans for 13C, and 8 scans for 19F, in 8” 3 mm A-grade glass tubes. Chemical shifts
(δ) are reported in parts per million (ppm), after calibration
to residual isotopic solvent, and coupling constants (J) are reported in hertz (Hz). Multiplicities are described as singlet
(s), doublet (d), triplet (t), quartet (q), pentet (p), sextet (sex),
septet (sep), multiplet (m), broad (br), or a combination of these.
Low-resolution mass spectrometry (LRMS) was carried out using a Waters
LC-MS system in ESI mode, fitted with a Micromass ZQ MS and an Alliance
2690 LC. Analysis was performed on a Waters Xterra C18 3.0 ×
150 mm column containing 3.5 μm beads by direct injection into
the mass spectrometer. High-resolution mass spectrometry (HRMS) was
carried out using an Agilent 6538 UHD Q-TOF MS system in ESI mode
with a mass accuracy ±1 mDa.
Synthetic Procedures
Reductive
Amination (a)
The appropriate alkyl amine
(1.1 equiv) was added in one go to a solution of the appropriate aldehyde
(1.0 equiv) in 1,2-DCE (0.1 M) and stirred at RT for 10 min before
addition of glacial acetic acid (2.0 equiv) and further stirring for
30 min. Sodium triacetoxyborohydride (2.0 equiv) was added in one
go, and the reaction was stirred for 24 h before pouring over saturated
aqueous sodium bicarbonate. The layers were separated, and the aqueous
layer was extracted with CH2Cl2. The combined
organic layer was washed with saturated aqueous sodium bicarbonate,
followed by brine, dried (MgSO4), filtered, and concentrated in vacuo. Column chromatography isolated the target compound.
Amine Sulfonylation (b)
The sulfonyl chloride (1.0–1.1
equiv) was added in one go to an ice-cooled solution of the appropriate
amine (1.1 equiv) and triethylamine or DIPEA (2.0 equiv) in THF, CH2Cl2, or CH3Cl (0.1–0.2 M) and
stirred at room temperature, and the disappearance of the limiting
agent was monitored by TLC (hexanes/EtOAc 8:2). After 3–16
h, the reaction was quenched with 1 M HCl. The layers were separated,
and the aqueous layer was extracted with CH2Cl2. The organic layer was dried over MgSO4, filtered, concentrated in vacuo, and purified by column chromatography to isolate
the target compound.
Benzyl Deprotection by Hydrogenation (c)
To a nitrogen-purged
solution of the benzyl or hydroxamate ester (1.0 equiv) in 2:1 mixture
of THF and methanol or 100% methanol (0.05–0.1 M) was charged
10% Pd/C (0.1 equiv). The flask was purged with hydrogen, and then
the reaction was stirred for 2 h under hydrogen atmosphere (balloon)
before filtration through Celite, washed with THF, and concentrated in vacuo. Carboxylic acids were isolated without further
purification. Preparative HPLC was used to isolate hydroxamic acids.
SN2 Substitution with Benzyl Bromides/Iodides (d)
Benzyl bromide/iodide (1.0 equiv) was added to a solution of the
amine (1 equiv) and Cs2CO3 (1.5 equiv) in DMF
(0.1 M). After 3–16 h (reaction monitored by TLC, hexanes/EtOAc
6:4). The reaction mixture was then diluted in EtOAc and saturated
aqueous sodium bicarbonate. The organic layer was washed with saturated
aqueous sodium bicarbonate (1×), water (3×), and brine (1×),
and the aqueous layer was extracted once with EtOAc. The combined
organic layer was dried over MgSO4, filtered, and concentrated in vacuo to isolate the target compound without further
purification.
Acid-Mediated Hydrolysis of Carboxylate or
Hydroxamate Esters
(e)
The carboxylate or hydroxamate ester was charged in a
round-bottom flask with 4 M HCl in dioxane (0.3 M final concentration)
at RT in air. After 3–16 h, the solvent was removed in vacuo. Carboxylic acid intermediates were used in the
next step without further purification, whereas final hydroxamic acids
were purified using preparative HPLC.
Formation of Hydroxamate
Esters (f)
Oxalyl chloride
(4 equiv) was added dropwise to a solution of the appropriate carboxylic
acid (1.0 equiv) in THF (0.05–0.2 M) and DMF (1 to 2 drops)
at 0 °C and stirred for 50 min −3 h. The reaction was
concentrated to dryness in vacuo before redissolving
in dry THF (0.2 M) and mixing with diisopropylethylamine or triethylamine
(2.0 equiv) followed by the O-protected hydroxylamine
or its hydrochloride salt (1.0–2.0 equiv). After 16 h, the
reaction was quenched with 1 M HCl and the layers were separated.
The organic layer was washed with 1 M HCl and the combined aqueous
layer was extracted with EtOAc or CH2Cl2. The
organic layer was dried (MgSO4), filtered, and concentrated in vacuo, and purified by column chromatography to isolate
the target compound.
Alternate Procedure for Formation of Hydroxamate
Esters (f′)
Triethylamine (3.0 equiv) was charged
in one go to a solution of
the appropriate carboxylic acid (1.0 equiv), 1-(3-(dimethylamino)propyl)-3-ethylcarbodiimide
hydrochloride (EDC.HCl, 1.5 equiv), and 1-hydroxybenzotriazole monohydrate
(HOBt, 1.1 equiv) in DMF (0.1–0.2 M) at RT in air. After 10
min, the O-protected hydroxylamine (2.0 equiv) was added in one go,
and the reaction was stirred for 16–24 h before quenching with
0.1 M HCl. The layers were separated, the organic layer was washed
with 0.1 M HCl, and the aqueous layer was extracted with EtOAc or
CH2Cl2. The organic layer was dried (MgSO4), filtered, and concentrated in vacuo, and
purified by column chromatography to isolate the target compound.
Preparation of Sulfonyl Chlorides S3 from Polyhalogenated Benzene
Rings (g)
The polyhalogenated benzene ring was added to neat
chlorosulfonic acid (5 equiv) in a round-bottom flask under argon
atmosphere, and the resulting solution stirred at RT for 5 min. The
reaction was then heated to reflux (150 °C) for 2 h. The reaction
turned dark over this period of time. The reaction was cooled to RT,
and the crude material was added slowly to a mixture of ice and water.
The aqueous phase was extracted three times with EtOAc, washed with
brine, and concentrated to afford a dark brown oil that was flushed
through a bed of silica and used without purification in subsequent
step.
tert-Butyloxycarbonyl (Boc) Protection (h)
Di-tert-butyl dicarbonate (2.0 equiv) in THF (0.63
M) was added in one go to a solution of the appropriate amine hydrochloride
(1.0 equiv) in THF and distilled water (1:1). Sodium bicarbonate (3.0
equiv) in distilled water (0.95 M) was added to the reaction mixture
in one go and stirred at RT in air. After 19 h, the reaction was quenched
by addition of 1 M HCl until pH 3 and the layers were separated. The
aqueous layer was extracted with EtOAc and the combined organic layer
was dried (MgSO4), filtered, and concentrated in
vacuo to isolate the target compound without further purification.
Carboxyl Benzylation (i)
The appropriate benzoic acid
(1.0 equiv) and cesium carbonate (1.1–1.2 equiv) were suspended
in DMF (0.33–0.5 M) and stirred at RT for 20 min in air, before
addition of benzyl bromide (1.0 equiv) in one go. After 24 h, the
reaction was concentrated in vacuo and partitioned
between EtOAc and distilled water. The layers were separated, and
the aqueous layer was extracted with EtOAc. The combined organic layer
was dried (MgSO4), filtered, and concentrated in
vacuo. Column chromatography isolated the target compound.
Boc Deprotection (j)
The appropriate carbamate (1.0
equiv) was charged with ice-cooled 4 M HCl in dioxane (0.1 M) and
stirred at RT in air. After 3 h, the solvent was removed in
vacuo, azeotroped with CH2Cl2, to isolate
the target compound without further purification.
The product was obtained using synthetic
procedure (b) as a yellow oil without further purification (83%). 1H NMR (400 MHz, CD3CN) δ: 7.92–7.30
(m, 1H), 6.40 (s, 1H), 2.34 (p, J = 6.9, 3.6 Hz,
1H), 0.65–0.53 (m, 4H). 13C NMR (101 MHz, CDCl3) δ: 156.8, 145.5, 144.8, 140.4, 117.3, 23.9, 4.9. 19F NMR (376 MHz, CDCl3) δ: −135.25
(s, 1F), −135.39 to −135.78 (m, 1F), −146.02
to −147.09 (m, 1F), −151.30 (s, 1F). LRMS (ESI-) m/z calcd for [C9H6F4NO2S]−: 268.01, found:
268.02.
2,3,4,5-Tetrafluorobenzenesulfonyl Chloride
Used for S9b
The product was obtained using
synthetic procedure (g)
as a clear, yellow oil without further purification (80%). 1H NMR (400 MHz, acetonitrile-d3) δ
7.92–7.66 (m, 1H). 13C NMR (101 MHz, acetonitrile-d3) δ 147.8, 147.3, 146.7, 145.3, 144.6,
140.5, 116.6. 19F NMR (376 MHz, acetonitrile-d3) δ −133.82 to −134.01 (m, 1F), −135.65
to −136.10 (m, 1F), −142.87 (s, 1F), −151.06
to −151.57 (m, 1F). LRMS (ESI+) found 229.04 (corresponding
to M-1 for the acid showing rapid compound hydrolysis under MS conditions).
Briefly, MV4-11cells were incubated
with inhibitors prior to cell lysis with radioimmunoprecipitation
assay (RIPA) buffer (20 mM Tris pH 7.4, 150 mM NaCl, 0.5% deoxycholate,
1% Triton X-100, and 0.1% sodium dodecyl sulfate (SDS)). Total protein
content was determined through a BCA assay (ThermoFisher), resolved
via a 4–20% polyacrylamideSDS gel, and transferred to a nitrocellulose
membrane (Bio-Rad). The membranes were blocked with a 5% solution
(skimmed milk powder in PBS-T). This was followed by incubation at
4 °C (overnight) with the following antibodies: acetylated α-tubulin
mouse monoclonal (MABT868, EMD Millipore), acetylated histone H3 (Ac-Lys18,
07–354, Sigma), PARP-1 (ab227244, Abcam), apoptosis Western
blot cocktail (136812, Abcam), cleaved PARP-1 (ab32561, Abcam), and
HSC70 (sc-7298, Santa Cruz). Following overnight incubation, horseradish
peroxidase (HRP)-conjugated goat anti-mouse IgG secondary antibody
(7076, Cell Signaling) or HRP-linked anti-rabbit IgG secondary antibody
(7074, Cell Signaling) was applied to the membrane in a 1:5000 dilution.
The bands were visualized using clarity Western ECL substrate luminal/enhancer
solution and peroxide solution. Western blotting analysis was carried
out using Image lab software (Bio-Rad).[47,50,70]
Cytotoxicity Assays
HeLacells were
grown in Dulbecco’s
modified Eagle’s medium (DMEM) supplemented with 10% fetal
bovine serum (FBS) (Sigma-Aldrich). MV4-11 were grown in Iscove’s
modified Dulbecco’s medium (IMDM) supplemented with 10% FBS.
MOLM-13 and MRC-9cells were maintained in RPMI-1640 supplemented
with 10% FBS. HeLa, MOLM-13, MRC-9, and MV4-11 were obtained from
the American Type Culture Collection (ATCC, USA).The PTCL cell
lines, KHYG-1, NK-92, SNK6, DERL-2, Mac1, 1305 Myla, Hut78, SU-DHL-1
or T-ALL cell lines SUP-T11, DND-41, and MOLT4 were maintained in
RPMI-1640 supplemented with 10% FBS, 0.06 g/L penicillin/0.1 g/L streptomycin
(Pen/Strep, Gibco), and 2 mM l-glutamine (Gibco). Culture
media of KHYG-1, NK-92, SNK6, and DERL-2 cells was additionally supplemented
with 2.5 ng/mL recombinant human IL-2 (ImmunoTools GmbH, Germany).
The authenticity of PTCL cell lines was confirmed by analysis of highly
polymorphic short tandem repeat loci (STR) using the PowerPlex 16
HS System (Promega; performed by Microsynth AG, Switzerland).Hut78cells were obtained from CLSCell Lines Service GmbH, Germany.
Mac1, SU-DHL-1, HH, DERL-2, KHYG-1, NK-92, SUP-T11, and YT cell lines
were obtained from the Deutsche Sammlung von Mikroorganismen and Zellkulturen
GmbH (DSMZ, Germany). SNK6 and NK-YS were a generous gift from Dr.
Wing C. Chan (City of Hope Medical Center, Duarte, CA, USA), and the
DND-41 cell line was a generous gift from A. Thomas Look (Dana-Farber
Cancer Institute, Boston, MA, USA). Myla cells were a generous gift
from Dr. K. Kaltoft, Institute of Human Genetics, University of Aarhus
(Aarhus, Denmark) via European Collection of Authenticated Cell Cultures
(ECACC). MOLT4 cells were obtained from ATCC, USA.NHF and pPF
were grown with Cell System growth medium, supplemented
with Culture Boost, whereas the U87-MGcells were grown in DMEM (and
10% FBS). HUVECs were grown in Vascular Cell Basal medium supplemented
with Endothelial Cell Grow Kit-VEGF. NHF and pPF were obtained from
Cell Systems, USA. U87-MG and HUVECcell lines were obtained from
ATCC, USA.Cell lines were regularly tested for mycoplasma using
the MycoAlert
mycoplasma detection kit (Lonza Group AG, Switzerland). All cell lines
were cultured at 37 °C in a humidified atmosphere containing
5% CO2. Experiments were performed within 20 passages after
cell resuscitation. None of the above-mentioned cell lines are listed
in the register of cell lines that are known to be misidentified through
cross-contamination.Cells were plated in 96-well flat-bottom
sterile culture plates
with low-evaporation lids (Costar #3997). The inhibitors and a vehicle
control (0.5% DMSO) were added to the cells following 24 h. After
72 h, Cell Titer-Blue (Promega #G808A) was added to each well (20
μL), and the fluorescence was measured at 560/590 nm using a
Cytation S63 spectrophotometer (BioTek) or a GloMax Discover Microplate
Reader (Promega, Madison, WI, USA). GraphPad Prism 6.0 (GraphPad Software
Inc.) was used to determine the IC50 values.
Immunofluorescence
Assay
HeLacells were plated to
subconfluency on a 96-well plate (clear bottom black from Fisher Scientific).
As above, inhibitors were introduced following 24 h. The cells were
washed with 1× PBS, fixed with 4% formaldehyde (Millipore Sigma),
permeabilized with 1% Triton X-100 (Millipore Sigma), and blocked
in 5% bovine serum albumin (BSA) (BioShop) for 1 h at room temperature.
Following this treatment, the cells were incubated in a cocktail composed
of acetylated α-tubulin mouse monoclonal (1:100 dilution, MD
Millipore) and acetylated histone H3 (1:50 dilution, Ac-Lys18, Sigma)
antibodies. Secondary antibodies anti-mouse Alexa Fluor 647 and anti-rabbit
Alexa Fluor 488 were used for immunofluorescent detection. Cells were
counterstained for nucleic acids using 4′,6-diamidino-2-phenylindole
(DAPI) (ThermoFisher Scientific). The cells were imaged with a Cytation
S63 spectrophotometer and the fluorescence intensity was determined
using ImageJ (n = 3). Two-way ANOVA with Tukey’s
multiple comparisons test were performed using GraphPad Prism 6.0
(GraphPad Software Inc.). A p-value ≤ 0.05
was considered significant.
FACS Apoptosis Detection Assay
MV4-11cells were prepared,
dosed, and washed with cold 1× PBS. The resulting cell pellets
were resuspended in 1× Binding Buffer (1 × 106 cell/mL) from the FITC Annexin V Apoptosis Detection Kit I (BD Pharmingen).
Subsequently, the dyes annexin V (5 μL) and propidium iodide
(PI, 5 μL) were added to 2.5 × 105 cells (250
μL). The suspension was thoroughly mixed and incubated in the
dark for 15 min. Following the addition of 250 μL of 1×
binding buffer, the cells were analyzed by flow cytometry within 1
h using the Cytoflex S system (Beckman Coulter).
Maximum Tolerated
Dose Studies
Acute toxicity of the
lead inhibitors was studied using 4–12 week old male CD-1 mice
(Charles River). A concentration of 20 mg/kg of inhibitor via oral
gavage was administered to mice (n = 5) over 5 days.
The vehicle consisted of 10% DMSO, 5% Cremophor EL, and 85% saline.
Mice were monitored daily for toxicity effects including excessive
changes in weight and hair as well as changes to posture and inactivity.
All mouse studies were approved by the Local Animal Care Committee
at the University of Toronto and Office of Laboratory Animal Welfare
(OLAW). The mice were housed in Tecniplast Blueline ventilated cages
with environmental enrichment and fed a Teklad 2019 diet supplemented
with municipal water.
Computational Modeling and Docking
Computational modeling
and docking was performed with Schrödinger Maestro 11.9.011
software using Glide, Epik, Optimized Potentials for Liquid Simulations
3e (OPLS3e) force-field, Glide, LigPrep and the Protein Preparation
Wizard. All ligand poses as well as protein structure images were
generated with Maestro version11.9.011. Relevant compounds were prepared
via a ligand preparation workflow (Epik to generate possible protonation
states at target pH 7.0 ± 2.0) and generating tautomers. Protein
structures were retrieved from the protein data bank (https://www.rcsb.org): HDAC6, 5EDU; HDAC8, 1T64. For protein model
preparation, appropriate bond orders were assigned as well as including
hydrogen atoms and creating zero-order bonds to any metalcenters.
Any of the loops and side chains that were not present in the protein
structures were added using Prime. Furthermore, any water molecules
that were located >5.0 Å from heteroatoms were removed. All
residues
with stericclashes were individually minimized (OPLS3e). Ramachandran
plot analysis was used to examine the structure output. Receptor grids
(10 × 10 × 10 Å3) were defined surrounding
the cocrystallized ligands (Trichostatin A, TSA) within the HDAC active
site during docking. The relevant HDACi were screened against HDAC6
and HDAC8 using standard precision (SP) docking, and the top 25 binding
poses were generated. In all simulations, the ligands were flexible
and the protein remained static (excluding rotatable groups). After
postdocking minimizations, the top binding pose for each ligand was
produced and analyzed for protein–ligand interactions using
Maestro 11.9.011 and Ligand Interaction Diagrams.
Permeability
Determination by Lipid-PAMPA
A 1.8% solution
(w/v) of lecithin in dodecane was added to each acceptor plate well
(top), followed by application of the artificial membrane and addition
of 300 μL of PBS (pH 7.4) solution to each well of the acceptor
plate. Compounds were added to the donor plate and incubated at 25
°C, 60 rpm for 16 h. After incubation, aliquots of 50 μL
from each acceptor well and donor plate were transferred into a 96-well
plate, vortexed at 750 rpm for 100 s and centrifuged at 3220g for
20 min. Compound concentrations and effective permeability (Pe) were determined by LC/MS/MS.
Stability
in Mouse Plasma
The plasma stability of the
compounds was evaluated in mouse plasma provided from Sigma-Aldrich,
Oakville, Canada. The main stock solutions of the compounds were prepared
at 10 mM in DMSO, which was diluted to 100 μM in 50% acetonitrile
(ACN)/50% water. Aliquots of 356.5 μL of plasma proteins were
placed in a heating block and allowed to equilibrate at 37 °C
for 5 min. Then, 3.5 μL of 100 μM compound solutions were
added to each vial (final concentration of 1 μM). Three quality
control (QC) samples at 100, 500, and 1000 nM were prepared in 0.5%
ACN. The vial contents were transferred in 50 μL aliquots at
time points of 0.5, 5, 10, 20, 30, and 60 mi to a 96-well autosampler
plate containing 150 μL of protein precipitation solution. Ice-cold
ACNcontaining internals standards (100 nM glyburide) were used as
the protein precipitation solution. After centrifugation at 4 °C,
5500 rpm for 15 min, the supernatant was diluted in MQ water, and
injected into the LC/MS/MS for quantitative analysis.The mobile
phase consisted of (A) 0.1% (v/v) formic acid in Milli-Q water; (B)
0.1% (v/v) formic acid in acetonitrile. Gradients were run over 15
min and proceeded as follows: A:B, 85:15, 0.0–1 min, 85:15
→ 10:90, 1–7 min, 10:90, 7–9 min, 10:90 →
85:15, 9–9.5 min, 85:15, 9.5–15 min. The analytical
column was a Waters T3 HSS iKey 1.7 μm (50 × 0.15 mm) column.
The MS data was collected via multiple reaction monitoring in positive
ion mode. All calculations were carried out using Microsoft Excel.
Peak areas were determined from extracted ion chromatograms. The in vitro half-life (t1/2) of
parent compounds were determined by regression analysis of the percent
parent disappearance vs time curve.
Glutathione Stability Assay
Compound was added to PBS
and 5 mM GSH to reach a final concentration of 5 μM. Samples
were incubated at 25 °C at 60 rpm, and aliquots were taken at
0, 30, 60, and 120 min and quenched with internal standard, IS (100
nM alprazolam, 200 nM caffeine, 200 nM Labetalol, and 100 nM tolbutamide).
Samples were vortexed and centrifuged for 45 min at 3220g. Aliquots were diluted by ultrapure water, and used for LC/MS/MS
analysis. Peak area ratios were determined and percent compounds remaining
was calculated by the following equation:where peak area ratio (t min)
is the peak area ratio of control and test compounds at t min; peak area ratio0min is the peak area ratio of control
and test compounds at the zero time point. In vitro half-life (t1/2) = −(0.693/k).
Reversibility of Inhibition (Koff Kinetics)
The enzyme was preincubated with
compound or
DMSO, followed by dilution of the [compound/enzyme] complex into buffer
with a substrate peptide to bring the compound concentration ∼10×
below its respective IC50 value. Progress curves were obtained
after dilution, and enzyme recovery was fitted with the following
equation: % conv = Vs × t + (Vi – Vs)/Kobs app × (1 –
exp(−Kobs app × t), in which Vi is the initial velocity, Vs is steady state velocity, and Kobs is the observed rate constant. The obtained Kobs rate constant was used to determine the reversibility
of inhibition and calculate residence time as 1/2Tres = ln2 × 1/Kobs.
Determination of Ki (Kon Kinetics)
Serial dilutions of compound were
mixed with 3 nM HDAC6 enzyme and substrate peptide in assay buffer.
Progress curves were acquired without preincubation for ∼5
h on a Labchip3000 instrument. Progress curves in the presence of
compound were fit with the following equation: ((A + (Vs × x)) +
(((Vo – Vs) × (1 – exp((−1 × Kobs) × t)))/Kobs)). To
determine observed rate of inhibition, Vo was locked to
that in control (Vi, DMSO only). Fractional steady state
velocity (Vs/Vi) and Kobs values were plotted against
[compound] to determine Ki and residence
time.
In Vitro Stability in Mouse Hepatocytes
The inhibitors (and controls) were formulated to concentrations of
100 μM in 50% acetonitrile/50% water. The medium (William’s
E Medium supplemented with GlutaMAX) and hepatocyte thawing medium
were allowed to reach room temperature and the hepatocytes and thawing
medium and centrifuged at 100 g for 10 min. The supernatant was removed,
and hepatocytes resuspended in the incubation medium (∼1.5
× 106 cells/mL). The cells were diluted to 0.5 ×
106 viable cells/mL. A volume of 198 μL of hepatocytes
was transferred to a 96-well noncoated plate and incubated at 37 °C
for 10 min. Following this, 2 μL of the 100 μM test compounds
or positive control was transferred into respective wells to start
the reaction. At different time points (0, 15, 30, 60, 90, and 120
min), 25 μL aliquots were mixed with 6 volumes (150 μL)
of acetonitrilecontaining internal standard, IS (100 nM alprazolam,
200 nM labetalol, 200 nM caffeine, and 200 nM diclofenac) to terminate
the reaction. Samples were vortexed for 5 min and centrifuged for
45 min at 3220g, diluted by ultrapure water, followed
by LC/MS/MS analysis. The in vitro half-life (T1/2) was determined by regression analysis of
the percent parent disappearance vs time curve (T1/2 = 0.693/k) using Microsoft Excel. Conversion of the in vitroT1/2 into the in vitro intrinsicclearance (in vitro CLint. in μL/min/106 cells) was performed using
the following equation (mean of duplicate determinations): CLint = kV/N, where V = incubation volume (0.2 mL) and N =
number of hepatocytes per well (0.1 × 106 cells)
In Vivo PK Study in CD-1 Male Mice (Pharmaron,
MA, USA)
The test compounds were formulated within a 4 mg/mL
solution (10% DMA, 65% PEG400, 25% saline). CD-1 mice were administered
the test compound (20 mg/kg, I.P) once, and blood samples were obtained
from each mouse at 0.25, 0.5, 1, 2, 4, 8, and 24 h postdose. The working
solutions of 5 μL at different concentrations (2, 4, 10, 20,
100, 200, 1000, 2000 ng/mL) were added to CD-1 mouse plasma (10 μL)
to generate calibration standards of 1, 2, 5, 10, 50, 100, 500, and
1000 ng/mL. Four quality control (QC) samples at 2, 5, 50, and 800
ng/mL for plasma were prepared independently of calibration curves.
Standards, QC samples, and unknown samples (total volume 15 μL)
were added to acetonitrile (200 μL) containing IS (2 ng/mL verapamil,
and 50 ng/mL dexamethasone) for precipitation of protein. Samples
were vortexed and centrifuged (4 °C, 3900 rpm, 15 min), and the
supernatant was diluted 3-fold with ultrapure water. Diluted supernatant
was injected into the LC/MS/MS system for quantitative analysis.
HDAC Target Engagement (Nanosyn, CA, USA)
The full-length
human HDACs were recombinantly expressed and purified from SF9 insectcells. All compounds were serially prediluted in DMSO from a top concentration
of 10 or 1 μM and introduced into the 384-well plates through
an acoustic dispenser (Labcyte550) into the reaction buffer (100 mM
HEPES, pH 7.5, 25 mM KCl, 0.1% BSA, 0.01% Triton X-100, and enzyme).
The total concentration of DMSO was 1% in all wells. The deacetylation
reaction was initiated by introduction of a FAM-labeled acetylated
peptide substrate. The reaction was monitored through the change in
the relative fluorescence intensity of the substrate and product peaks.
The activity was determined as the product sum ratio (PSR): P/(S + P), where P = product peak height and S = substrate
peak height. The negative control (0% inhibition in absence of inhibitor,
DMSO only) and positive control (100% inhibition in absence of enzyme)
were determined from n = 4 samples. Percent inhibition
(Pinh) was determined through the equation: Pinh = (PSR0% – PSRinh)/(PSR0% – PSR100%) × 100, where
PSRinh is the product sum ratio in the presence of inhibitor,
PSR0% is the product sum ratio in absence of inhibitor,
and PSR100% is the product sum ratio in 100% inhibition
samples. Inhibition curves (Pinh vs inhibitor
concentration) were fitted by a four-parameter sigmoid dose–response
model using XLfit software (IDBS) to determine the IC50 values.
Primary T-PLL Patient Sample Studies
Primary T-PLL
cells were isolated from peripheral blood (PB) of 10 T-PLL patients.
All patients were diagnosed according to WHO criteria based on clinical
features, immunophenotyping (flow cytometry and histochemisty; including
TCL1 expression), and FISH/karyotyping.[71,72] Samples were
obtained from patients under IRB-approved protocols following written
informed consent according to the Declaration of Helsinki. Collection
and use of patient material have been approved for research purpose
by the ethics committee of the University Hospital of Cologne (EudraCT-Nr.:
#2008-001421-34 and AZ11-319) and Helsinki (303/13/03/01/2011).All patients except for one (patient 9: alemtuzumab and bendamustine)
were untreated before the time of sample collection, and all the patients,
except for two (Patient 8 (50%) and Patient 10 (25%)) had a > 80%
T-cell fraction of their PB leukocytes. PB mononuclear cells (PBMCs)
of T-PLL samples were obtained by density gradient centrifugation
(Histopaque; Sigma-Aldrich). All drug screening in primary T-PLL patient
samples were conducted as previously described.[34,73]
Oncomine Gene Expression Analysis
HDAC gene
expression data and associated statistical analyses were extracted
from the Oncomine Research Premium Edition database (Thermo Fisher,
Ann Arbor, MI),[46,59] from the data sets described
in Figure using the
following reporters: HDAC1 (201209_at), HDAC2 (201833_at), HDAC3 (216326_s_at), HDAC4 (204225_at), HDAC5 (202455_at), HDAC6 (206846_s_at), HDAC9 (205659_at), and HDAC11 (219847_at).
Statistical Testing
Statistical
analysis was performed
using two-way ANOVA with Tukey’s multiple comparisons test
in GraphPad Prism 6.0 (GraphPad Software Inc.). To determine differences
between drug treatments in T-PLL primary samples, Wilcoxon test was
performed in R with the function wilcox.test. A p-value of <0.05 was considered significant. HDAC gene expression data and associated statistical analyses were extracted
from the Oncomine Research Premium Edition database (Thermo Fisher,
Ann Arbor, MI) from the Durig Leukemia data set.[46,59]
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