hdac8 regulates a stress response pathway in melanoma to ... · cell culture: the 1205lu, wm164 and...
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HDAC8regulatesastressresponsepathwayinmelanomatomediateescapefromBRAFinhibitortherapy
Michael F. Emmons1, Fernanda Faião-Flores1, Ritin Sharma5, Ram Thapa6, Jane L.
Messina2, Jurgen C. Becker3, Dirk Schadendorf3, Edward Seto4, Vernon K. Sondak2,
John M. Koomen5, Yian A. Chen6, Eric K. Lau1,2, Lixin Wan5, Jonathan D. Licht7, &
Keiran S.M. Smalley1,2*
1The Department of Tumor Biology, 2The Department of Cutaneous Oncology, 5The Department of Molecular Oncology, 6Department of Bioinformatics and Biostatistics, The Moffitt Cancer Center &
Research Institute, 12902 Magnolia Drive, Tampa, FL, USA. 3Department of Translational Skin Cancer Research, German Cancer Consortium (DKTK), University Hospital Essen, Universitätstraße 1, 45141,
Essen, Germany. 4George Washington University, Washington, D.C., USA. 7The University of Florida Health Cancer Center, Gainesville, FL.
*To whom correspondence should be addressed
Department of Tumor Biology, Moffitt Cancer Center, 12902 Magnolia Drive, Tampa, FL, 33612, USA
Tel: 813-745-8725
Fax: 813-449-8260
e-mail: [email protected]
Runningtitle: HDAC8 and melanoma
Wordcount: 4999 words
Grantsupport: Supported by SPORE grant P50 CA168536 (to KSM Smalley, VK Sondak, JL Messina, YA Chen), NCI R21 CA216756 (to KSM Smalley), Florida Department of Health 8BC03 (to KSM Smalley, JD Licht) and Forma Therapeutics (to KSM Smalley). This work has been supported in part by the Proteomics and Metabolomics Core, the Biostatistics and Bioinformatics Core, the Tissue Core, and Flow Cytometry Core Facility at the Moffitt Cancer, an NCI designated Comprehensive Cancer Center (P30-CA076292). Keywords: melanoma, BRAF, MEK, HDAC8, deacetylation, c-Jun, adaptation.Conflictsof interest:VKS serves a consultant for Array, Bristol Myers Squibb, Genentech-Roche, Merck and Novartis. DS has received speaker honoraria from Roche, Novartis, Bristol-Myers Squibb, Merck Sharp & Dome, Amgen, Merck Serono and Pierre-Fabre, advisory board honoraria from Roche, Novartis, Bristol-Myers Squibb, Merck Sharp & Dome, Amgen, Incyte, Merck Serono and Pierre-Fabre as well as research funding from Novartis and Bristol-Myers Squibb. JCB has received speaker honoraria from Amgen, Merck Serono, and Pfizer, advisory board honoraria from Amgen, CureVac, eTheRNA, Lytix, Merck Serono, Novartis, Rigontec, and Takeda as well as research funding from Alcedis, Boehringer Ingelheim, Bristol-Myers Squibb and Merck Serono; he also received travel support from 4SC and Incyte. All other authors declare no conflict of interest.
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Abstract:
Melanoma cells have the ability to switch to a dedifferentiated, invasive phenotype
in response to multiple stimuli. Here we show that exposure of melanomas to
multiple stresses including BRAF-MEK inhibitor therapy, hypoxia, and UV
irradiation leads to an increase in histone deacetylase 8 (HDAC8) activity and the
adoption of a drug-resistant phenotype. Mass spectrometry-based
phosphoproteomics implicated HDAC8 in the regulation of MAPK and AP-1
signaling. Introduction of HDAC8 into drug-naïve melanoma cells conveyed
resistance both invitro and invivo. HDAC8-mediated BRAF inhibitor resistance was
mediated via receptor tyrosine kinase (RTK) activation, leading to MAPK signaling.
Although HDACs function at the histone level, they also regulate non-histone
substrates, and introduction of HDAC8 decreased the acetylation of c-Jun, increasing
its transcriptional activity and enriching for an AP-1 gene signature. Mutation of the
putative c-Jun acetylation site at lysine 273 increased transcriptional activation of c-
Jun in melanoma cells and conveyed resistance to BRAF inhibition. Invivo xenograft
studies confirmed the key role of HDAC8 in therapeutic adaptation, with both non-
selective and HDAC8-specific inhibitors enhancing the durability of BRAF inhibitor
therapy. Our studies demonstrate that HDAC8-specific inhibitors limit the
adaptation of melanoma cells to multiple stresses including BRAF-MEK inhibition.
Significance: This study provides evidence that HDAC8 drives transcriptional
plasticity in melanoma cells in response to a range of stresses through direct
deacetylation of c-Jun.
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Introduction
Use of BRAF inhibitors and BRAF-MEK inhibitor combinations is associated with
impressive therapeutic responses and increased overall survival in patients whose
melanomas harbor position 600 mutations in BRAF (1). Despite this, most patients
ultimately fail therapy, and cures remain rare (1, 2). Although much is now known
about the genetic mediators of acquired BRAF and BRAF-MEK inhibitor resistance,
there is still an urgent need to better understand the mechanisms underlying
treatment failure, particularly at the earliest stages, so that new therapeutic
strategies and drug combinations can be developed (2-5). The process of early
adaptation to therapy remains poorly defined but appears to involve the adoption of
a slow-growing “persister” state that is marked by de-differentiation, phenotypic
plasticity and some recovery of MAPK signaling (6). This early rebound in MAPK
signaling is frequently mediated through increased receptor tyrosine kinase (RTK)
signaling, with a number of studies now implicating roles for IGF1R, EGFR, Axl, c-
MET, PDGFR and EphA2 (7-10).
In our previous studies, we used comprehensive mass spectrometry-based
phosphoproteomics to identify a ligand-independent EphA2 driven signaling
network as a driver of an aggressive, EMT-like phenotype in melanoma cells with
acquired BRAF inhibitor resistance (11). This S897-EphA2 driven signaling
network was dependent upon continuous MAPK pathway inhibition and was
reversed following drug withdrawal for >3 weeks (11). The plasticity of this drug-
induced phenotype suggested these changes could be epigenetically mediated (11).
In the present study, we asked whether a common transcriptional state that
emerged when melanoma cells were subjected to stress allowed melanoma cells to
survive diverse insults. Our work identified a novel role for HDAC8 as a mediator of
phenotype switching and the therapeutic adaptation of melanoma cells to BRAF
inhibition. Unexpectedly, we found that HDAC8 regulates BRAF inhibitor sensitivity
and acquired drug resistance through direct effects upon c-Jun acetylation, leading
to transcriptional rewiring and increased RTK and MAPK signaling. Together, these
results point to a new role for the histone deacetylases in regulating the cell
signaling networks at the protein acetylation level that mediates therapeutic escape.
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Materialsandmethods
CellCulture:The 1205Lu, WM164 and SKMEL-28 cell lines were a generous gift
from Dr. Meenhard Herlyn (The Wistar Institute, Philadelphia, PA). The dual BRAF
and MEK inhibitor resistant (RR) lines 1205LuRR, SKMEL28RR and WM164RR were
established as previously described (12). Panobinostat, PCI-34051 and erlotinib
were from Selleckchem. Hypoxia was achieved via an oxygen control glove box (Coy
Labs (Grass Lake, MI)) for 24 hours in conditions containing 94% N2, 1% O2, and 5%
CO2. All cells were tested for mycoplasma contamination every 3 months using the
Plasmotest-Mycoplasma Detection Test (Invivogen, San Diego, CA). Last test date:
3/18/19. Each cell line was authenticated using the Human STR human cell line
authentication service (ATCC) and frozen stocks of cells were discarded after 10
passages.
Western Blotting: Lysates were acquired and processed for Western Blot and
immunoprecipitation as previously described (11). The anti-HDAC3 and anti-HDAC8
antibodies were described in (13, 14). The antibodies against HDAC1 (2062),
HDAC2 (2540), BIM (2933), Mcl-1 (4572), phospho-ERK (9101), ERK (9102),
phospho-CRAF (56A6, 9427), CRAF (D4B3J, 53745), phospho-EphA2(D9A1, 6347),
EphA2(D4A2, 6997), phospho-AKT(D9E, 4060), AKT(9272), phospho-c-Jun(54B3,
2361), c-Jun(60A8, 9165) and acetyl(9441) were purchased from Cell Signaling
Technology (CST; Danvers, Ma). Anti-HDAC6 (H-300, sc-11420) was purchased from
Santa Cruz Biotechnologies (Dallas, TX). Anti-HDAC11 (ab47036) was purchased
from Abcam (Cambridge, UK). Anti-Vinculin (G8796) and anti-GAPDH (V9131)
were purchased from MilliporeSigma (St. Louis, MO). Ac-SMC3 was a kind gift from
Forma Therapeutics (Watertown, MA). Phospho-RTKs were measured with the
Human Phospho-Receptor Tyrosine Kinase Array Kit (R&D Biosystems,
Minneapolis, MN). Activated and total Ras were measured with the Active Ras Pull-
Down and Detection Kit (ThermoFisher, Carlsbad, CA). For each experiment, all
antibodies were probed on the same blot. In cases where bands were similar, the
blots were washed with Restore Western Blot Stripping Buffer for 10 minutes
before a new antibody was used.
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CellDeathAssays:Cells were treated with drugs (72 h), harvested and incubated
with Annexin-V APC (BD biosciences (BD), Franklin Lakes, NJ). Fluorescence was
read on a FACSCalibur (BD) and analyzed using Flowjo software. To measure cell
death following induction of stress, 300 cells were counted for cell death by trypan
exclusion using a 0.4% trypan blue solution (MilliporeSigma)
Colony formationassay:Cells were treated with drug for 28 days before being
stained with a 0.5% Crystal Violet solution. Colonies were quantified using ImageJ
software.
Immunohistochemistry: Samples from melanoma patients pre- and post-BRAF
and BRAF-MEK inhibitor therapy were collected from the University Hospital Essen
under a written informed consent protocol. Formalin-fixed, paraffin- embedded
(FFPE) slides were stained for HDAC8 expression using the Ventana Discovery XT
automated system and an anti-HDAC8 antibody (Novus Biologicals, Littleton, CO) at
a 1:100 concentration with 60 minute incubation. Staining was detected using the
Ventana ChromoMap Red kit and slides counterstained with hematoxylin. For
mouse immunohistochemistry, FFPE slides were stained for phospho-c-Jun (Abcam,
ab32385) for 1 hour at a 1:100 concentration and slides were uploaded into an
Aperio AT2 scanner (Leica Biosystems, Buffalo Grove, IL) and visualized using
Aperio Imagescape 12.3.3 (Leica Biosystems)
Proteomics:Cells were lysed in an urea lysis buffer (20mM HEPES pH 8.0, 9M Urea,
1mM Sodium Orthovanadate, 2.5 mM Sodium pyrophosphate, 1 mM β-
glycerophosphate), and protein concentration of the lysate was measured by
Bradford assay. Extracted proteins (10 mg) were digested by trypsin and enriched
for phospho-tyrosine and phospho-serine/threonine as previously described (11).
Extracted proteins from each condition (EV or HDAC8) were trypsin digested and 2
equal aliquots of tryptic peptides (100 µg) were labeled by distinct Tandem Mass
Tags (TMT six-plex reagents, ThermoFisher), combined and subjected to offline high
pH Reverse Phase fractionation (15). Each of the fractions were enriched for
phosphopeptides using a Phos-SELECT Iron Affinity Gel (MilliporeSigma) (16). Mass
spectrometry data was acquired on a QExactive mass spectrometer coupled to a
U3000 RSLCnano system (ThermoFisher) as described previously (16). Two
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technical replicates were performed for the immune-enriched phosphotyrosine
samples as well as each of the IMAC-enriched fractions. Label-free quantitation was
performed for phosphotyrosine samples while MS2-reporter ion quantitation was
performed for IMAC-enriched samples using MaxQuant (1.2.2.5) (17). Data are
available in PRIDE (PXD012813 and PXD012812).
RNA‐Seq: Isolated RNA was cleaned using a RNAeasy minicleanup kit (Qiagen,
Hilden Germany) and screened for quality on an Agilent BioAnalyzer (Santa Clara,
CA). The samples were then processed for RNA-sequencing using the NuGen
Ovation Human FFPE RNA-Seq Multiplex System. The libraries were then
sequenced on the Illumina NextSeq 500 sequencer (San Diego, CA) with a 2 X 75-
base paired-end run in order to generate 40-50 million read pairs per sample. Data
are available in GEO (GSE127564).
Analysis of sequencing and proteomic data: Combat was used to normalize
phosphotyrosine profiles before further analyses (18). Log2 transformation was
applied to all three datasets (RNA-Seq, and both phosphorylation experiments).
Moderated t-statistics were used to compare the RNA expression between baseline
(EV) and HDAC8 overexpression (HDAC8) samples in RNA-seq data for each of
18,542 genes using the limma package in R (19). In phosphotyrosine residue data,
172 phosphopeptides were used for assessing differential expression in HDAC8
versus EV samples. In serine/threonine phosphopeptide data, 1,976
phosphopeptides were used in assessing differential expression in HDAC8 versus EV
samples. Volcano plots with significant phosphopeptides denoted by fold change >
2 & p-value < 0.05 in the contrast between EV and HDAC8 samples were also used
for visualization.
Normalized phosphoproteomic data was combined and analyzed using GeneGO
software (Metacore, Thomson Reuters). Significant interactions between genes
were determined with an cutoff value of p<0.05. Normalized pY and pS/T proteomic
data were uploaded and analyzed by STRING. The most stringent interaction
threshold of 0.9 was used to find the most significant interactions upregulated in
HDAC8 expressing cells. Significant interactions exported from GeneGO were
organized into a global signaling hub using Cytoscape software. RNA-Seq data was
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analyzed by Gene Signiture Enrich Analysis (GSEA). The data was analyzed for
significant transcription factors using an FDR cutoff of 0.05.
Transfectionandinfection:Cells were placed in OPTI-MEM media in the presence
of the plasmid or siRNA and lipofectamine 2000. Mcl-1 (ON Target SMART pool)
siRNA and non-targeting control siRNA was purchased from ThermoFisher. The
empty vector plasmids were purchased from Origene Technologies Inc (Rockville,
MD). For infection of MilliporeSigma shRNA viral particles, infection was performed
per manufacterers protocol. After 24 hours, the media was removed and replaced
with media containing 1 µg/ml puromycin (Millipore Sigma). shRNA against HDAC8
(SHCLNV-NM_018486, TRCN0000004851) was purchased from Millipore Sigma.
PCR: EGFR mRNA expression was measured by quantitative RT-PCR. EGFR and
GAPDH primers were purchased from Applied Biosystems (AB, Thermo). cDNA was
made from isolated RNA with the High Capacity cDNA Reverse Transcriptase Kit
(AB) and 100 µg of cDNA was run on a 7900HT Fast Real-Time PCR System for 40
cycles using Taqman master mix (AB). Samples were normalized to control.
Promoter Assay: To assess ATF2 and c-JUN transcriptional activity, we
implemented a dual secreted luciferase assay as previously described (20). At 48
hours after transfection, the cells were treated with specified drugs, and at the
indicated times, media samples containing secreted lucifase were harvested and
measured for luciferase activity using the Pierce Gaussia Luciferase Glow Assay Kit
per manufacturer’s instructions (ThermoFisher).
DNABindingAssay: Binding of c-Jun and c-Jun mutant cells to the consensus JUN
DNA sequence was performed using the Mouse/Human/Rat JUN/c-Jun DNA Binding
ELISA kit (LSBio, Seattle, WA) per the manufacturers instructions. Samples were
read on a plate reader at 450 nm.
Mutagenesis:The following primers were ordered from Integrated DNA
Technologies.268 mutant: 5’ gcatcgctgc ctccagatgc cgaaaaagga agctggagag aatcg 3’
5’ cgatt ctctccagct tcctttttcg gcatctggag gcagcgatgc 3’ 271 mutant: 5’ gcatcgctgc
ctccaagtgc cgaagaagga agctggagag aatcg 3’ 5’ cgatt ctctccagct tccttcttcg gcacttggag
gcagcgatgc 3’273 mutant: 5’ gcatcgctgc ctccaagtgc cgaaaaagga gactggagag aatcg 3’
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5’ cgatt ctctccagtc tcctttttcg gcacttggag gcagcgatgc 3’ Mutant DNA constructs were
made by a site-directed mutagenesis kit (ThermoFisher) against a WT c-Jun plasmid
(Origene Technologies) per manufacturers instructions. Mutant constructs were
sequenced (Genewiz, South Plainfield, NJ) using plasmid DNA and c-Jun primer
sequence cgtttggagtcgttgaagttg (IDT). DNA was stably transfected into cells using
lipofectamine 2000 and clones were selected for further study. After selection,
endogenuous levels of c-Jun were knocked down using a 3’ shRNA for JUN (SHCLNV-
NM_002228, TRCN0000039588, Millipore Sigma).
In vivo studies: Cells were injected into the hind flank of NOD.CB17-Prkdcscid/J
mice(Taconic, Germantown, NY) in a solution containing 50% L-15 media
(ThermoFisher) with 1mM HEPES (MilliporeSigma) and 50% matrigel (BD). 10
tumors were used for each group in each experiment. All studies were approved by
the University of South Florida IACUC (#IS00004987). PLX 4720 was given using
formulated chow (Research Diets, New Brunswick, NJ) while panobinostat and PCI-
34051 were given by i.p. injections for the duration of the experiment. Weight and
tumor size were measured with calipers and were monitored 3 times weekly.
Statistics:For all experiments, significance was determined between groups using a
One-way ANOVA followed by a post hoc t-test. For all in vitro experiments, 3
independent experiments with an n of 3 were used for an overall n of 9 with a
representative experiment shown. For invivo studies, an n of 10 was used for each
group.
Results
TheBRAFandBRAF‐MEKinhibitoradaptedstateisreversibleandsensitiveto
HDACinhibition
In previous studies, we identified an S897-EphA2-driven signaling interactome that
emerged under continuous BRAF therapy, that was readily reversible following drug
withdrawal (11). We reasoned that this network, and therefore BRAF inhibitor
resistance, may be in part epigenetically regulated. To explore this mechanism, we
treated BRAF-MEK inhibitor resistant melanoma cell lines (designated RR) with the
broad spectrum HDAC inhibitor panobinostat and found that it decreased both
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S897-EphA2 and pAKT signaling and restored vemurafenib sensitivity in apoptosis
assays (Figures 1A,B). We next asked whether acquired BRAF inhibitor resistance
was associated with an increased expression of specific HDAC genes or proteins by
microarray and Western Blot analysis respectively. It was determined that Class I
HDACs (HDAC1, HDAC2, HDAC3 and HDAC8), Class IIb HDACs (HDAC6) and Class IV
HDACs (HDAC11) were consistently expressed (Supplemental Figure 1A). Although
many HDACs showed alteration following the acquisition of BRAF (designated R)
and BRAF-MEK inhibitor resistance, HDAC8 expression was consistently increased
(>2 fold) in 5/5 of the drug resistant melanoma cell lines (Figure 1C and
Supplemental Figure 1B). Increased expression of HDAC6 (>2 fold) was also noted
in 4/5 of the cell lines (M229R, SKMEL-28RR, 1205LuRR and WM164RR) (Figure 1C
and Supplemental Figure 1B). Expression of HDAC8 and c-JUN was also noted in
melanoma cells with intrinsic BRAF inhibitor resistance, whereas those with initial
BRAF inhibitor sensivity expressed little c-JUN and an HDAC8 doublet
(Supplemental Figure 2) (21). A role for HDAC8 in the restoration of drug sensitivity
was suggested by the ability of an HDAC8 inhibitor (PCI-34051), but not an HDAC6
inhibitor (tubastatin), to restore the sensitivity of BRAF inhibitor resistant
melanoma cell lines to vemurafenib (Figure 1D and Supplemental Figure 3). As
increased expression is not always indicative of increased enzymatic activity, we
also probed for the validated HDAC8 target, acetylated-SMC3 (22), and noted a
decrease in acetylation of SMC3 in the resistant cell lines (Figure 1E).
To explore whether increased HDAC8 activity was a common response of melanoma
cells to stress, we next treated 1205Lu melanoma cells with either UV radiation
(254 nm: 3.75 J/m2) or hypoxia (1% O2 for 24 hrs). Exposure to both of these
stresses induced HDAC8 expression, with overexpression of HDAC8 leading to
reduced cell death following UV irradiation or hypoxia (Figure 1F,G). The clinical
relevance of these findings was investigated through immunohistochemical (IHC)
staining of a cohort of matched pre- and post-BRAF inhibitor treated melanoma
patient specimens (Supplemental Table 1). It was found that HDAC8 was either
highly expressed at baseline (6/8) and did not change on therapy or showed
increased expression post-therapy (2/8 cases) (Figure 1H). Collectively these data
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demonstrated that HDAC8 was induced under multiple stress conditions, including
BRAF-MEK inhibitor therapy and that expression of HDAC8 could provide
protection to melanoma cells. Continuous drug exposure was required to maintain
the HDAC8-driven adapted state with drug removal for >3 weeks leading to reduced
expression of HDAC8 (Supplemental Figure 4).
HDAC8mediatesBRAFinhibitortolerance
We next generated stable HDAC8 expressing clones of drug naïve WM164 and
1205Lu melanoma cells, that had protein expression levels equivalent to that
induced by continuous BRAF inhibitor therapy (Figure 2A). The introduction of
HDAC8 increased the tolerance of melanoma cells to BRAF inhibitor therapy in 4-
week colony formation assays (Figures 2B,C) and led to a significant reduction in
vemurafenib-induced apoptosis (Figure 2D) which was not associated with
increased cell proliferation (Supplemental Figure 5). These effects were also
observed following administration with a combination of BRAF-MEK inhibitors
(Supplemental Figure 6A-B). Conversely, it was found that the silencing of HDAC8
reversed resistance to vemurafenib in colony formation assays (Figure 2E-G) and
restored apoptosis levels to those of the drug-naïve cell lines (Figure 2H). We next
determined the functional consequences of modulating HDAC8 expression in terms
of apoptosis regulation. We focused upon BIM and Mcl-1, as 1) both of these
proteins are regulated by mutant BRAF in melanoma cells and are 2) important
regulators of the apoptotic response following BRAF inhibition (23, 24). HDAC8
introduction, followed by BRAF inhibitor treatment, was associated with a
suppression of pro-apoptotic BIM expression (Figure 2I) and the maintenance of
Mcl-1 levels (Figure 2I), while silencing HDAC8 increased BIM expression
(Supplemental Figure 7A-C). The critical role of Mcl-1 maintenance in the pro-
survival effects of HDAC8 overexpression was demonstrated through the siRNA
silencing of Mcl-1, which restored the sensitivity of the HDAC8 overexpressing cells
to vemurafenib (Figure 2J,K).
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Massspectrometry‐basedphosphoproteomicanalysesrevealsadirectrolefor
HDAC8inregulatingMAPKandJUNsignalinginBRAF‐mutantmelanoma
We reasoned that the introduction of HDAC8 increased melanoma cell survival
under stress by rewiring the signaling network. To explore this, we utilized mass
spectrometry-based phosphoproteomics to map the entire signaling network. The
introduction of HDAC8 into drug-naïve BRAF-mutant melanoma cell lines led to
significant increases in the tyrosine phosphorylation of 5 peptides and the
serine/threonine phosphorylation of 113 peptides (Figure 3A). These data
demonstrated HDAC8 overexpression enriched for networks associated with the
adoption of an epithelial mesenchymal transition (EMT), as well as MAPK and AP-1
transcription factor signaling (Figure 3B). These findings with HDAC8 mirrored
those reported previously by our group on melanomas with acquired BRAF
inhibitor resistance (11). Grouping of the proteomic data into cellular processes
using STRING analysis demonstrated HDAC8 to be involved in ribosomal function,
RNA binding, cell cycle regulation, ERK signaling and organization of the
cytoskeleton (Figure 3C). Analysis of individual phosphopeptides identified the
emergence of a signaling interactome that was dependent upon MAPK1 and c-Jun
(Figure 3D). Other members of the HDAC8-driven signaling network included
MAPK pathway members (p38 MAPKα and p38MAPKγ), cytoskeleton regulators
(FAK, paxillin, stathmin, LIMA1, PTRF, MARCKS), cell cycle/spindle regulators
(CDK1, ASPM, TPX2), transcriptional initiation (EIF6, EEF1D) and PKC signaling
(PRKCD).
HDAC8enhancestherapeuticescapethrough increasedRTK‐mediatedMAPK
signaling
Our phosphoproteomic studies identified MAPK1 as a major HDAC8-regulated
signaling hub. We next used two isogenic cell line pairs transduced with either
empty vector (EV) or HDAC8 to evaluate its role in MAPK signaling. HDAC8
introduction increased baseline phospho-ERK levels in both cell lines, and MAPK
signaling was maintained in the presence of a BRAF inhibitor, i.e. the drug never
inhibited the pathway by >50% (Figure 4A,B). These effects were also seen
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following administration of a combination of BRAF-MEK inhibitors (Supplemental
Figure 6A-B). Conversely, shRNA knock down of HDAC8 reduced MAPK signaling in
the presence of a BRAF inhibitor (Supplemental Figure 7A-C). The increased MAPK
signaling we observed occurred upstream of ERK, with a more pronounced and
rapid induction of phospho-CRAF signaling being noted in the HDAC8 expressing
cells compared to the EV controls (Figure 4C). Ras-GTP pulldown experiments
demonstrated that HDAC8 overexpression increased the level of Ras-GTP loading,
indicating the reactivation of signaling upstream of RAF (Figure 4D).
We next turned our attention to RTKs, and used RTK-arrays to demonstrate that
HDAC8 introduction altered the basal phosphorylation of multiple RTKs including
EGFR, c-MET and FGFR3 (Figures 4E,F and Supplemental Figure 8A-D). Among the
RTKs identified, EGFR appeared critical for the increased MAPK signaling associated
with HDAC8, with studies showing that erlotinib resensitized HDAC8-expressing
melanoma cells to BRAF inhibitor mediated apoptosis (Figure 4G). Use of the c-MET
inhibitor, crizotinib, or the FGFR inhibitor, BGJ398, also resensitized HDAC8
expressing melanoma cells to BRAF inhibition (Supplemental Figure 9A,B). Together
these data indicate that increased HDAC8 activity contributes to stress tolerance
through maintenance of survival signaling.
HDAC8increasesMAPKactivityinmelanomacellsthroughdeacetylationofc‐
Jun.
We next performed RNA-Seq analyses on our isogenic (EV and HDAC8 introduced)
cell lines (Figure 5A) and used GSEA to identify transcriptional programs associated
with HDAC8 expression. One of the top hits was an AP-1 gene signature, indicative
of c-Jun transcriptional activity (Figure 5B). Unbiased kinome array analysis showed
HDCA8 introduction to be associated with increased c-JUN, p53, AKT and HSP60
phosphorylation (Supplemental Figure 10A,B). Functional studies showed HDAC8
introduction led to increased c-Jun phosphorylation following BRAF inhibitor
treatment (Figure 5C), and enhanced c-Jun transcriptional activity both immediately
following and at 4 hours after BRAF inhibitor treatment (Figure 5D). A role for
increased c-Jun expression/activity in BRAF inhibitor tolerance was indicated by the
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observation that c-Jun silencing restored vemurafenib sensitivity to HDAC8
expressing melanoma cells (Supplemental Figure 11A-B).
Previous studies have demonstrated that c-Jun is acetylated at Lys268, Lys271 and
Lys273 (25). We performed immunoprecipitation studies and demonstrated that
the introduction of HDAC8 led to the deacetylation of c-Jun (Figure 5E). A structural
analysis revealed that the three potential acetylation sites (268, 271 and 273) are
located within the DNA-binding domain of c-Jun (Figure 5F). A series of acetylation
deficient K->R c-Jun mutants were generated at each of the three individual lysines
(K268R, K271R, K273R) (Supplemental Figure 12), along with the silencing of the
endogenous protein through a 3’-UTR directed shRNA. Mutating lysine 273 led to a
reduction of BRAF inhibitor sensitivity by both apoptosis (Figure 5G) and colony
formation assays (Supplemental Figure 13A,B). Introduction of K273R c-JUN also
limited the pro-apoptotic effects of combined HDAC8 and BRAF inhibition in
apoptosis assays (Supplemental Figure 13C). Functionally, these effects were
associated with increased levels of ERK phosphorylation in addition to decreased
levels of BIM expression following BRAF inhibition (Figure 5H). Mutating lysine 273
also increased the binding of c-Jun to the consensus JUN/c-Jun DNA sequence as
determined by ELISA (Figure 5I) and significantly increased levels of EGFR mRNA as
measured by qRT-PCR (Figure 5J). These results were supported by kinome and
RTK arrays that demonstrated K273R introduction to be also associated with
increased EGFR phosphorylation and enhanced p53, AKT, STAT3, WNK1 and HSP60
signaling, (Supplemental Figures 14A,B-15A,B).
Co‐targetingofBRAFandHDAC8suppressestherapeuticescape
As the final step we asked whether HDAC8 inhibition improved BRAF inhibitor
responses invivo. For the initial studies, we injected isogenic WM164 and 1205Lu
melanoma cells that expressed empty vector (EV), had HDAC8 expression (HDAC8)
or were stably knocked down (shRNA) for HDAC8 into the flanks of NSG mice. When
tumor volumes reached 25-40 mm3, treatment with the BRAF inhibitor PLX4720
was initiated. In these xenografts, melanoma cells expressing HDAC8 showed
resistance to BRAF inhibitor treatment, whereas the melanoma with HDAC8 stably
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14
knocked down “crashed” following initiation of BRAF inhibitor treatment (Figure
6A,B). At the completion of the experiments, the HDAC8 shRNA knockdown tumors
were significantly smaller than both the HDAC8 expressing and empty vector
control cells. Western Blot studies confirmed the increased expression of HDAC8
and showed this to be associated with a suppression of BIM expression under BRAF
inhibitor therapy (Figure 6C). Increased nuclear accumaultion of phospho-c-JUN
was also seen in the tumors with HDAC8 expression (Figure 6D). It was not possible
to analyze the HDAC8 shRNA tumors by Western Blot due to very low tumor
volumes after BRAF inhibitor therapy. We then determined whether similar results
could be achieved with small molecule HDAC inhibitors. Here, we used two HDAC
inhibitors (the broad spectrum HDAC inhibitor panobinostat and the HDAC8-
specific inhibitor PCI-34051) in combination with the BRAF inhibitor PLX4720. For
these studies, the animals received a lead-in dose of each of the HDAC inhibitors (to
mimic the effects of having the HDACs silenced prior to initiating BRAF inhibitor
therapy) before continuing treatment with the combination of HDAC and BRAF
inhibitors. Co-treatment with both drugs significantly reduced tumor growth
compared to either agent alone and was associated with durable responses in these
model systems (Figures 6E, F).
Discussion
Adaptation to therapy is a major factor that limits the long-term responses of BRAF-
mutant melanoma patients to BRAF inhibitor monotherapy and BRAF-MEK inhibitor
combination therapy (3, 6, 26). Despite this, relatively little is known about the early
events that permit limited numbers of cells to evade the effects of BRAF inhibition.
Work from our group and others has demonstrated that diverse therapeutic
interventions, including targeted therapy and immune therapy, induce a
dedifferentiated state that is reminiscent of an EMT (11, 27-31). Melanoma cells that
have undergone this transition typically exhibit increased invasion and resistance to
most therapies (11, 27-31). Previous studies from our lab showed this phenotype to
be reversible upon drug withdrawal and possibly epigenetically mediated (11).
Given the postulated links between stress, phenotype switching and drug resistance
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15
in melanoma, we asked whether there was a unifying cellular program that
regulated the response of melanoma cells to multiple stresses.
We began by demonstrating that the drug-adapted, EMT-like state (here marked by
increased S897-EphA2 signaling) could be reversed following treatment with HDAC
inhibitors such as panobinostat. HDACs are enzymes that catalyze the hydrolysis of
acetyl groups from acetylated proteins. The HDACs have many targets, both nuclear
and cytoplasmic, with the best characterized of these being the N-terminal tails of
histones (32). Our studies revealed that HDAC8 was frequently upregulated in
melanoma cells with acquired BRAF and BRAF-MEK inhibitor resistance and that
introduction of exogenous HDAC8 conveyed resistance to MAPK targeted therapies.
HDAC8 is a poorly characterized Class I HDAC found in both the nucleus and
cytoplasm (14, 33). As well as its nuclear activity as a histone deacetylase, HDAC8
also has a number of non-histone substrates including p53, cortactin and SMC3 (22,
34, 35). HDAC8 was not the only HDAC whose expression was altered upon chronic
BRAF inhibitor treatment, with increased HDAC6 expression being observed in
some of the resistant cultures. Despite this, inhibition of HDAC6 did not restore
sensitivity to BRAF inhibition, suggesting that this HDAC played a minor role in the
escape from BRAF inhibitor therapy.
To better understand how HDAC8 regulates signaling in melanoma cells we
performed phosphoproteomic analyses of isogenic melanoma cell line pairs and
noted the emergence of a signaling network dependent upon MAPK1 and c-Jun
following the introduction of HDAC8. These findings closely mirrored our previous
proteomic studies that identified an EGFR, c-JUN signaling network being associated
with acquired BRAF inhibitor resistance (11). In functional terms, introduction of
HDAC8 was associated with increased baseline levels of phospho-ERK and the
maintenance of MAPK signaling following BRAF inhibitor treatment. It is likely that
the shallower level of ERK inhibition associated with HDAC8 introduction reduces
drug efficacy. In the clinical setting, >90% ERK inhibition is required for responses
in melanoma patients (36). The HDAC8-mediated adaptation occurred upstream, at
the level of RTK signaling, with increases noted in Ras-GTP loading and
phosphorylation of CRAF at S338. Ultimately, the increased level MAPK signaling
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16
throughput prevented the melanoma cells from being primed for cell death through
a mechanism including reduced levels of BIM expression and maintenance of pro-
survival Mcl-1 levels (24, 37, 38). Both BIM and Mcl-1 are known to be regulated
through the MAPK pathway, with BIM in particular being rapidly targeted for
degradation following its phosphorylation by MAPK at Ser69 (23). Mcl-1 exerts its
anti-apoptotic activity by binding to, and blocking the function of BIM-EL and
through inhibition of pro-apoptotic Bak/Bax. In melanoma, Mcl-1 conveys
resistance to anoikis and its downregulation is required for the cytotoxic activity of
the HSP90 inhibitor XL888 (24, 39).
As both our proteomics and RNA-Seq analyses suggested that HDAC8 expression
was associated with c-Jun signaling and Jun/AP-1 driven-transcription we next
asked whether HDAC8 mediated its effects via direct c-Jun regulation. c-Jun is a key
transcriptional regulator of melanoma cells that has been implicated in melanoma
progression, phenotype switching and therapy resistance (40-42). The expression
and activation of c-Jun is subject to complex regulation at both the transcriptional
and the post-translational levels. In BRAF and NRAS-mutant melanoma cells, c-Jun
activation occurs as a result of a complex signaling loop dependent upon ERK-
mediated GSK3 and CREB phosphorylation (40). Other recent studies have tied the
activation of c-Jun to decreased expression of the ERK target gene SPRY-4, following
BRAF inhibition (43). Work in other systems has suggested that Jun transcriptional
activity can be regulated through acetylation at Lys268 (25). Through
immunoprecipitation and site-directed mutagenesis studies we here demonstrated
that HDAC8 was required for deacetylation of c-Jun at Lys273 and that the
introduction of K273R mutant of c-Jun mimicked the effects of HDAC8.
Mechanistically it was found that the introduction of the K273R acetyl mutant of c-
Jun led to increased transcription of EGFR, the maintenance of ERK signaling and the
escape of the melanoma cells from BRAF inhibitor therapy. There is already
evidence that c-Jun transcriptional activity can be induced in response to stresses
such as UV (44). Our work provides the first evidence that HDAC8 activity is
increased in responses to multiple, diverse cellular stresses and that this turn
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17
initiates a transcriptional program that is associated with increased melanoma cell
survival (29, 43, 45).
Invivomodels were then used to demonstrate the requirement for HDAC8 in the
adaptation of melanomas to BRAF inhibitor therapy. Treatment of HDAC8-silenced
melanoma xenografts with the BRAF inhibitor PLX4720 showed them to be unable
to adapt to therapy. In contrast, introduction of HDAC8 into the same melanoma
cells made them BRAF inhibitor tolerant, and the tumors grew rapidly in the
presence of drug. To determine if these effects could be recapitulated by small
molecule HDAC inhibitors, we performed two experiments in which drug naïve
melanoma cells were co-treated with either a broad spectrum HDAC inhibitor
(panobinostat) and PLX4720 or an HDAC8-specific inhibitor (PCI-03451) and
PLX4720. In both cases the combination of the BRAF inhibitor and the HDAC
inhibitor out performed either single agent, with particularly striking effects being
seen for the broad spectrum HDAC inhibitor/BRAF inhibitor combination. Although
significantly improved responses were seen for the HDAC8 inhibitor plus the BRAF
inhibitor, these were not as impressive as with panobinostat or HDAC8 silencing.
Possible explanations for this difference include the potential minor contribution of
other HDACs to the process of therapeutic escape, or the failure of PCI-03451 to
inhibit HDAC8 to the same extent as the HDAC8 shRNA silencing in vivo.
Nevertheless, these findings provide a strong rationale to pursue the development
of more selective and potent HDAC8 inhibitors for future evaluation as drugs that
can limit phenotype switching and therapeutic escape in melanoma. In support of
this goal, there is already evidence that melanomas with acquired BRAF-MEK
inhibitor resistance exhibit sensitivity to the broad spectrum HDAC inhibitor
vorinostat (46), and that HDAC inhibitors can restore expression of BIM and BMF in
melanomas with acquired BRAF inhibitor resistance (47).
In summary, we have shown that HDAC8 is a critical driver of a cellular program
that allows melanoma cells to rapidly adapt to multiple cellular stresses, including
BRAF inhibitor therapy. The mechanism of this adaptation is complex and involves
the deacetylation of c-Jun leading to a transcriptional program that allows
melanoma cells to re-wire their signaling to maintain MAPK pathway activity. To
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18
date, attempts to therapeutically target c-Jun and indeed, phenotype switching in
melanoma have proven to be difficult. The development of potent HDAC8 inhibitors
is a promising strategy to limit this plasticity in melanoma cells allowing therapeutic
responses to be improved.
Acknowledgements:
We would like to thank Bin Fang, Ph.D. for his assistance with the
phosphoproteomic experiments and Divya Bhat for her assistance with the invivo
experiments.
References
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Figurelegends
Figure1:HDAC8proteinexpressionisupregulatedinBRAFinhibitorresistant
celllinesandconfersresistancetoBRAFinhibitors.
A) HDAC inhibition reduces phospho-AKT and phospho(S897)-EphA2 expression in
BRAF-MEK inhibitor resistant 1205LuRR, SKMEL28RR and WM164RR melanoma
cells. Cells were treated with 100 nM of Panobinostat or DMSO vehicle control (VC)
for 24 hours and probed for phospho-EphA2, EphA2, phospho-AKT and AKT by
Western Blot. B) HDAC inhibition restores BRAF inhibitor-induced apoptosis.
1205Lu, 1205LuRR, WM164 and WM164RR cells were treated with vemurafenib (3
µM for 1205Lu and 1 µM for WM164) alone or in combination with 20 nM
panobinostat for 72 hours. Apoptosis was measured by Annexin V staining using
flow cytometry. C) BRAF-MEK inhibitor resistance is associated with increased
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22
expression of multiple HDACs. A Western Blot shows expression of HDACs in
matched sensitive and resistant cell lines. Densitometry values for expression
normalized to GAPDH is shown under each blot. D) HDAC8 inhibition restores BRAF
inhibitor sensitivity. 1205Lu, 1205LuRR, WM164 and WM164RR cells were treated
with vemurafenib (3 µM for 1205Lu and 1 µM for WM164) alone or in combination
with 5 μM PCI-34051 for 72 hours. Apoptosis was measured by Annexin V staining
and flow cytometry. E) BRAF-MEK inhibitor resistance is associated with increased
HDAC8 activity. A Western Blot shows expression of HDAC8 and the HDAC8
substrate acetylated SMC3 (acSMC3) in matched sensitive and resistant cell lines.
Densitometry for expression over basal levels is shown under each blot. F) HDAC8
induction is a generalized response to stress. 1205Lu cells were treated with either
UV (254 nm: 3.75 J/m2) or hypoxia (1% O2, 24 hours) before being probed for
HDAC8 expression by Western Blot. G) HDAC8 protects from UV and hypoxia-
induced cell death. Cells were treated with either UV or hypoxia (as described for F)
and cell death measured 24 hours later by trypan exclusion. H) HDAC8 expression
is increased in melanoma patient samples post BRAF inhibitor therapy. Pre and
post-treatment specimens were stained for HDAC8 by IHC. All experiments were
performed in triplicate and significance was determined with a one way ANOVA
followed by a post hoc t test with #=p>0.05 (non-significant), *=p<0.05 and
**=p<0.01.
Figure2:HDAC8confersresistancetoMAPKtargetedtherapiesinmelanoma.
A) An empty vector (EV) or HDAC8 construct were introduced into 1205Lu and
WM164 cells. A Western Blot shows levels of HDAC8 expression. Densitometry
values for expression normalized to GAPDH are shown under each blot. B‐C) HDAC8
increases vemurafenib tolerance in colony formation assays. Isogenic (EV and
HDAC8) 1205Lu and WM164 cells were treated with vemurafenib continuously (28
days, 3 µM for 1205Lu and 1 µM for WM164) before being stained with crystal
violet. A representative experiment is shown in B) and results were quantified in C)
using imageJ. D) HDAC8 introduction increases cell survival following BRAF
inhibition. Isogenic (EV and HDAC8) 1205Lu and WM164 cells were treated with
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23
vemurafenib (72 hours, 3 µM for 1205Lu and 1 µM for WM164) and apoptosis
measured by Annexin-V binding and flow cytometry. E) HDAC8 was knocked down
by shRNA (shHDAC8) or non-silencing control (shN.S.) in BRAF-MEK inhibitor
resistant 1205LuRR and WM164RR cells. A Western Blot shows levels of HDAC8
expression and densitometry was performed as in A). F‐G) A colony formation
assay demonstrates silencing HDAC8 reverses BRAF inhibitor resistance. Isogenic
(shNS and shHDAC8) 1205LuRR and WM164RR cells were treated with
vemurafenib continuously (28 days, 5 µM for 1205LuRR and 3 µM for WM164RR)
before being stained with crystal violet. A representative experiment is shown in F)
and results were quantified in G) using imageJ. H) Silencing of HDAC8 increases
vemurafenib-induced apoptosis. Isogenic cell line pairs (shN.S. or shHDAC8) were
treated with vemurafenib (72 hrs, 5 µM for 1205LuRR and 3 µM for WM164RR).
Apoptosis was measured by Annexin V staining and flow cytometry. I) Introduction
of HDAC8 suppresses BIM and stabilizes Mcl-1 following vemurafenib treatment.
Isogenic 1205Lu cell lines (EV or HDAC8) were treated with vemurafenib (3μM, 0-
48 hr) and expression of BIM and Mcl-1 was assessed by Western Blot. J‐K)
Silencing of Mcl-1 restores BRAF inhibitor sensitivity to HDAC8 expressing
melanoma cells. J) A Western Blot was probed for Mcl-1 following transfection of
WM164 EV and HDAC8 cells with Mcl-1 siRNA. K) Analysis of vemurafenib-
mediated apoptosis following Mcl-1 silencing. Isogenic 1205Lu and WM164 (EV and
HDAC8) cells were silenced for Mcl-1 and treated with vemurafenib (72 hours, 3 µM
for 1205Lu and 1 µM for WM164). Apoptosis was measured by Annexin V staining
and flow cytometry. Experiments were performed in triplicate and significance was
determined with a one way ANOVA followed by a post hoc t test with #=p>0.05
(non-significant), *=p<0.05, **=p<0.01 and ***=p<0.001.
Figure3:Systemslevelproteomicsidentifiedc‐JunandMAPK1askeyHDAC8‐
regulatedsignalinghubs.
A) Key proteins including MAPK1 and c-Jun are significantly upregulated following
increased HDAC8 expression in BRAF inhibitor naïve cells. A volcano plot analysis
was performed on a phosphoproteomics study (serine/threonine/tyrosine
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24
phosphorylation) comparing isogenic (EV and HDAC8) 1205Lu cells. Significant
changes are denoted by fold change > 2 and a p-value < 0.05 and are shown in blue.
B) Key signaling pathways including MAPK, AP-1 and EGFR are upregulated
following increased HDAC8 expression in BRAF inhibitor naïve cells. Significantly
changed proteins in A) were analyzed using GeneGo software. Shown are the most
significantly changed pathways, along with the log10 of the p-value. C) Key pathways
with significantly altered protein/protein interactions, including interactions
involving ERK signaling and cell migration, were changed following increased
HDAC8 expression. STRING analysis identified key protein signaling hubs changed
in HDAC8 expressing 1205Lu cells. Protein interactions in STRING surpassing the
most stringent interaction threshold of .9 were exported and visualized by Gephi
visualization software using the OpenORD algorithm. D) A global analysis of
significantly changed protein/protein interactions determined MAPK1 and c-Jun to
be the most altered proteins when HDAC8 is expressed in 1205Lu cells.
Significantly altered protein/protein interactions were determined by Genego
analysis following input of significantly changed proteins following introduction of
HDAC8 into cells. Interactions were visualized using cytoscape.
Figure4:HDAC8modulatesBRAF inhibitorsensitivity throughregulationof
RTK/RAS/RAF/MEK/ERKsignaling
A) Introduction of HDAC8 increases basal phospho-ERK levels in melanoma cells
and MAPK signaling under BRAF inhibitor therapy. Control (EV) and HDAC8
expressing melanoma cells 1205Lu (3 µM) and WM164 (1 µM) were treated with
vemurafenib for increasing periods of time (0-48 hr) before being subjected to
Western Blotting for phospho-ERK (p-ERK) and total ERK expression. B)
Quantification of phospho-ERK levels relative to total ERK levels. C) HDAC8
introduction is associated with increased CRAF phosphorylation following BRAF
inhibition. WM164 cells were treated with vemurafenib (1 µM) for increasing
periods of time (0-48 hours) and probed for phospho-CRAF (S338, p-CRAF) and
CRAF expression. D) HDAC8 introduction increases Ras signaling. Isogenic (EV and
HDAC8 expressing) WM164 (1 µM) and 1205Lu (3 µM) cells were treated for
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vemurafenib for 24 hours and probed for activated Ras (GTP-bound) and total Ras.
E‐F) Introduction of HDAC8 increases baseline RTK signaling. Isogenic pairs of E)
1205Lu and F) WM164 cells were analyzed using a phospho-RTK array. Resulting
membranes were scanned and densitometry was performed (ND symbolizes none
detected). Data show the increase in phosphorylation of the RTKs EGFR(p-EGFR), c-
MET(p-c-MET), and FGFR3 (p-FGFR3) following HDAC8 introduction. G) EGFR
inhibition restores BRAF inhibitor sensitivity in cell lines that express HDAC8.
Isogenic 1205Lu and WM164 melanoma cells were treated with vehicle,
vemurafenib (BRAFi, 3 M for 1205Lu, 1 µM for WM164), erolitinib (EGFRi, 1 M)
or both drugs in combination (BRAFi/EGFRi) for 72 hours and apoptosis was
measured by Annexin V staining and flow cytometry. Significance was determined
with a one way ANOVA followed by a post hoc t test with #=p>0.05 (non significant),
**=p<0.01.
Figure 5: HDAC8 deacetylates the transcription factor c‐Jun at lysine 273
leadingtoincreasedtranscriptionalactivity,increasedphospho‐ERKsignaling
andBRAFinhibitorresistance.
A) HDAC8 introduction is associated with a unique gene signature. Heatmap of an
RNA-seq analysis of WM164 and 1205Lu melanoma cells introduced with either
empty vector (EV) or HDAC8. B) GSEA analysis identifies an AP-1 gene signature is
upregulated in melanoma cells expressing HDAC8. C) HDAC8 expression increases
phospho-c-Jun levels following BRAF inhibition. Isogenic WM164 cells were treated
with vemurafenib (1 M, 0-48 hours) and probed for phospho-c-Jun (p-c-Jun) and c-
JUN by Western Blot. D) HDAC8 expression leads to increased c-Jun transcriptional
activation following BRAF inhibition. Isogenic 1205Lu cells were transiently
transfected with a c-Jun- (TRE) or ATF2- (JUN2) targeted promoter luciferase
constructs and treated for 4 hours with vehicle (VC) or vemurafenib (3M, BRAFi).
Luciferase levels were measured and quantified. E) HDAC8 decreases c-Jun
acetylation. Total c-JUN was immunoprecipitated (ip) from isogenic 1205Lu (EV)
and 1205Lu-HDAC8 cells and blotted for total protein acetylation (ac-c-Jun). c-Jun
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26
was used as an input control. F) Structure of c-Jun identifying 3 potential
acetylation sites (at lysine residues) in the DNA binding domain. G)Acetylation-
deficient c-Jun at residue 273 increases melanoma cell survival following BRAF
inhibition. 1205Lu cells expressing acetyl mutants of c-Jun (K268R, K271R, or
K273R) in addition to WT c-Jun were treated with vemurafenib (3 µM: 72 hrs)
before being analyzed for annexin V positivity by flow cytometry. H) Acetylation-
deficient c-Jun at residue 273 leads to increased phospho-ERK (p-ERK) with
decreased levels of BIM. Isogenic 1205Lu cells expressing WT, K268R, K271R,
K273R constructs of c-Jun were treated with vemurafenib (3 µM: 0-24 hr) and
probed for c-Jun, HDAC8, phospho-ERK, ERK, and BIM expression by Western Blot.
I) Mutating lysine 273 of c-Jun confers increased binding to DNA. Isogenic 1205Lu
cells expressing WT, K268R, K271R, K273R constructs of c-Jun as well as a negative
control (NC) and positive control (PC) were incubated with a plate- bound
consensus DNA sequence of c-Jun and read at a wavelength of 450 nm. J) Mutating
lysine 273 of c-Jun increases mRNA expression of EGFR. qRT-PCR was performed
on samples using primers for EGFR. Readings were normalized to GAPDH control.
Experiments were performed in triplicate and significance was determined with a
one way ANOVA followed by a post hoc t test with *=p<0.05 and **=p<0.001.
Figure6:HDAC8inhibitionimprovesthedurationofBRAFinhibitortherapy
A) Responses to vemurafenib invivo are HDAC8 dependent. Isogenic 1205Lu cell
lines (EV control, HDAC8 expressing and HDAC8 shRNA silenced) were xenografted
into NOD.CB17-Prkdcscid/J mice. Tumors were allowed to engraft for 10 days and
then were treated with 10 mg/kg PLX 4720 (BRAFi) orally. Data show mean tumor
volume +/- S.E. mean. B) Isogenic WM164 cells were xenografted and treated as in
A). C)HDAC8 expressing tumors exhibited increased levels of HDAC8 and lower
levels of BIM by Western Blot. HDAC8 shRNA tumors were too small to analyze. D)
HDAC8 expressing xenografts have increased nuclear phospho-c-JUN expression.
Data show IHC analysis of HDAC8 expressing, EV control and shHDAC8 containing
1205Lu and WM164 tumors. E) Broad spectrum HDAC inhibition limits BRAF
inhibitor failure in treatment-naïve melanoma cells. Xenografts of 1205Lu
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27
melanoma cells were treated with vehicle, panobinostat alone (10 mg/kg every 5
days), vemurafenib alone (10 mg/kg daily) or the two drugs in combination. Tumor
volumes were measured 3 times per week. F) HDAC8 inhibition limits BRAF
inhibitor failure. Drug naïve 1205Lu cells were xenografted into NSG mice. After 10
days, mice were treated with vehicle, PCI-34051 alone (30 mg/kg daily),
vemurafenib alone (10 mg/kg daily) or the 2 drugs in combination. Experiments
were performed with a n=10 for each condition. Significance was determined in A-
B) with t tests comparing VC and BRAFi treatment for each experiment with
#=p>0.05 (non significant), *=p<0.05, and ***=p<0.001. For E-F) significance was
determined with a one way ANOVA followed by a post hoc t test with #=p>0.05
(non-significant), *=p<0.05, and **=p<0.01.
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Published OnlineFirst April 15, 2019.Cancer Res Michael F. Emmons, Fernanda Faião-Flores, Ritin Sharma, et al. mediate escape from BRAF inhibitor therapyHDAC8 regulates a stress response pathway in melanoma to
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