Selective targeting of cancer stem-like cells (CSCs) is a paradigm-shifting approach. We hypothesized that CSCs can be targeted by interfering with functions of sulfated glycosaminoglycans, which play key roles in cancer cell growth, invasion and metastasis. We developed a tandem, dual screen strategy involving (1) assessing inhibition of monolayer versus spheroid growth and (2) assessing inhibition of primary versus secondary spheroid growth to identify G2.2, a unique sulfated nonsaccharide GAG mimetic (NSGM) from a focused library of 53 molecules, as a selective inhibitor of colon CSCs. The NSGM down-regulated several CSC markers through regulation of gene transcription, while closely related, inactive NSGMs G1.4 and G4.1 demonstrated no such changes. G2.2's effects on CSCs were mediated, in part, through induction of apoptosis and inhibition of self-renewal factors. Overall, this work presents the proof-of-principle that CSCs can be selectively targeted through novel NSGMs, which are likely to advance fundamental understanding on CSCs while also aiding development of novel therapeutic agents.
Selective targeting of cancer stem-like cells (CSCs) is a paradigm-shifting approach. We hypothesized that CSCs can be targeted by interfering with functions of sulfated glycosaminoglycans, which play key roles in cancer cell growth, invasion and metastasis. We developed a tandem, dual screen strategy involving (1) assessing inhibition of monolayer versus spheroid growth and (2) assessing inhibition of primary versus secondary spheroid growth to identify G2.2, a unique sulfated nonsaccharideGAG mimetic (NSGM) from a focused library of 53 molecules, as a selective inhibitor of colon CSCs. The NSGM down-regulated several CSC markers through regulation of gene transcription, while closely related, inactive NSGMsG1.4 and G4.1 demonstrated no such changes. G2.2's effects on CSCs were mediated, in part, through induction of apoptosis and inhibition of self-renewal factors. Overall, this work presents the proof-of-principle that CSCs can be selectively targeted through novel NSGMs, which are likely to advance fundamental understanding on CSCs while also aiding development of novel therapeutic agents.
The cancer
stem-like cell (CSC)
hypothesis has attracted attention as a unifying hypothesis that explains
disease recurrence in the majority of advanced epithelial malignancies
including colorectal cancer. CSCs typically survive anticancer drug
treatment and self-renew to eventually reconstitute the entire tumor.[1−4] The recurrence of tumor is difficult to treat with traditional anticancer
drugs that primarily target “bulk” cancer cells. A new
approach is critically needed to prevent disease recurrence arising
from inability to destroy CSCs.Small molecule inhibition of
CSC self-renewal to eventually eradicate
tumor is a paradigm-shifting approach and presents major opportunity
for discovering of novel anticancer drugs. Yet, selective targeting
of CSC is challenging. CSCs are rare in a tumor cell population, which
implies that approaches relying on screening of bulk cancer cells
cannot succeed in identifying CSC-specific agents. Gupta et al. used
epithelial–mesenchymal transition in a breast cancer cell line
to enhance the proportion of CSCs, which enabled a high-throughput
screening approach. This effort led to the identification of salinomycin
as a CSC inhibitor.[5] This approach was
also used recently by the NIH Molecular Libraries Program to identify
several probes, for example, ML239, ML243, and ML245, as inhibitors
of breast CSCs.[6−8]We reasoned that a novel approach to target
CSCs would be modulation
of glycosaminoglycan (GAG) interactions with growth factors, cytokines,
or morphogens that play critical roles in CSC growth and/or differentiation.[3,9,10] Heparan sulfate (HS), a sulfated
GAG, is a recognized regulator of stem cell growth.[11] HS and its sulfation level is also known to induce stem
cell differentiation.[12−14] Although the exact molecular mechanism of HS action
on stem cells remains unelucidated, one postulate is that HS facilitates
ternary complexation with cell surface proteins, thereby affecting
growth and/or differentation.[11] This ternary
complexation is likely to depend on HS fine structure, which presents
a major opportunity for developing highly selective therapeutic strategies.
Likewise, a chondroitin sulfate (CS)–containing proteoglycan
called CSPG4 is also present on CSCs and is involved in regulating
cell proliferation, migration, and angiogenesis.[15]Although HS and CS play major roles in growth and
differentiation
of CSCs, they also contribute to bulk tumor cell biology.[3] This implies selective targeting of CSCs through
GAG modulation can be expected to be difficult from the perspective
of competing GAG modulation of bulk tumor cells also. Yet, we posited
that the significant difference in growth profiles of the two types
of cells should enable a selective targeting strategy. This reasoning
is supported in part by the differential expression of signaling pathway
components of the two types of cells.[10,16] Further, recent
evidence indicates that certain glycans may be aberrantly expressed
in CSCs.[17] Thus, we hypothesized that intercepting
appropriate GAG–protein interaction(s) may lead to selective
targeting of CSCs.Recently, we developed a range of structurally
unique, synthetic
nonsaccharideGAG mimetics (NSGMs, see Supporting
Information Figures S1 and S2 for structures).[18,19] These novel molecules mimic GAG structure through appropriate placement
of one or more sulfate group(s) on an aromatic scaffold. These NSGMs
have been found to modulate several biological functions including
coagulation, angiogenesis, inflammation, and oxidation in which GAGs
play important roles.[18] Thus, if a biological
screen can be designed to exploit the difference(s) in growth characteristics
between bulk cancer cells and CSCs, then novel synthetic NSGMs that
selectively target CSCs should be possible to identify.Herein,
we report that screening a library of 53 novel, synthetic,
and homogeneous NSGMs containing varying levels of sulfation and diverse
aromatic scaffolds resulted in identification of three NSGMs (i.e.,
G2.2, G11.1, and G12.2) that selectively inhibit the growth and self-renewal
properties of colorectal CSCs (Figure 1). The
CSC inhibition activity was highly sensitive to the structure of the
NSGM. For example, closely related analogues, G1.4 and G4.1, do not
induce CSC inhibition. In the process, we have developed a novel tandem,
dual screening strategy involving inhibition of monolayer versus spheroid
growth and inhibition of primary (1°) versus secondary (2°)
spheroid growth that can be very broadly applied for anticancer chemical
biology and drug discovery. The identified NSGM down-regulated several
CSC markers through regulation of gene transcription, while closely
related, inactive NSGMs demonstrated no such changes. Moreover, the
effects on CSCs were mediated, in part, through induction of apoptosis
and inhibition of self-renewal factors. Thus, our work presents the
paradigm that NSGMs (and GAGs) represent a rich, untapped avenue for
modulation of CSCs.
Figure 1
Selective targeting of colorectal cancer stem-like cells
(CSCs)
by tandem, dual screening of a focused sulfated NSGM library of 53
compounds belonging to 12 scaffolds (see Supporting
Information Figures S1 and S2 for all structures). The protocol
involved differential screening analysis of CSC growth under monolayer
versus spheroid conditions (labeled “Screen 1”) followed
by primary versus secondary/tertiary growth (“Screen 2”).
The screen identified three “lead” NSGMs, of which G2.2
was especially interesting because its two closely related analogues
G1.4 and G4.1 were found to be inactive following screen 1 and screen
2, respectively. All 53 NSGMs were screened at 100 μM concentration.
Selective targeting of colorectal cancer stem-like cells
(CSCs)
by tandem, dual screening of a focused sulfated NSGM library of 53
compounds belonging to 12 scaffolds (see Supporting
Information Figures S1 and S2 for all structures). The protocol
involved differential screening analysis of CSC growth under monolayer
versus spheroid conditions (labeled “Screen 1”) followed
by primary versus secondary/tertiary growth (“Screen 2”).
The screen identified three “lead” NSGMs, of which G2.2
was especially interesting because its two closely related analogues
G1.4 and G4.1 were found to be inactive following screen 1 and screen
2, respectively. All 53 NSGMs were screened at 100 μM concentration.
Results and Discussion
Rationale, Design, and
Synthesis of Non-saccharide GAG Mimetics
Library
Structurally, GAGs are polymers of alternating hexosamine
and hexuronic acid residues that are variably sulfated resulting in
a natural library of millions of sequences. The core polysaccharide
scaffold primarily orients key sulfate groups in three-dimensional
space for optimal interaction with the target protein.[18,20] Sulfated NSGMs attempt to exploit this concept of functional mimicry
through sulfate group recognition. In fact, this concept has led to
the design of sulfated flavonoids[20,21] and sulfated
tetrahydroisoquinolines[22] as mimetics of
a specific sequence in heparin using computational techniques. Likewise,
sulfated quinazolinones,[23] sulfated benzofurans,[24] and sulfated gallolylglucopyranoses[25] have also been developed as effective mimetics
of GAGs. These small, synthetic, homogeneous molecules bind in the
GAG-binding site of proteins resulting in modulation of function.[20−25] This function could be either agonistic or antagonistic. For example,
sulfated tetrahydroisoquinolines mimic the interaction of heparin
with antithrombin and thereby generate agonistic effect.[22] In contrast, sulfated benzofurans introduce
hydrophobic as well as electrostatic interactions and result in an
antagonistic effect.[24]Taking into
account the role of GAGs in CSC growth and differentiation, we predicted
that a distinct NSGM may selectively target colorectal CSCs. Hence,
a small library of sulfated NSGMs was selected for screening (see Supporting Information Figures S1 and S2). As
a group, the library represented 12 distinct scaffolds, G1 through
G12, and 53 unique molecules possessing one to 13 sulfate groups,
linear length of ∼8–24 Å and a range of three-dimensional
shape from approximately planar (G1 scaffold) to globular (G12). Except
for the G2–G4, G11 and G12 scaffolds, the synthesis of other
scaffolds has been reported.[19−25] We report here the synthesis of G2–G4 NSGMs (see Supporting Information Schemes S1–S3).
The synthesis of these molecules exploited the differential reactivity
of the 5- and 3′-phenolic groups present on quercetin arising
from the differential intramolecular hydrogen bonding. The differentially
protected quercetins could then be site-selectively coupled to afford
either G2 (5–5 coupling) or G3 mimetics (3′–3′
coupling) in high yields. Extension of this technique further led
to the synthesis of G4 group of NSGMs by coupling G2 with the G1 scaffold.
The final step is sulfation of the polyphenolic precursor using trialkylamine–sulfur
trioxide complex under microwave conditions[26] (Supporting Information Schemes S4–S8). It is important to note that the synthetic strategy developed
here provides novel variably sulfated molecules in high yields and
high homogeneity (>95% purity).Results of the tandem, dual screening
strategy. (A) Screen 1 results
following primary spheroid growth studies in two colon cancer cell
lines HCT-116 (p53 wild type, K-RAS mutant, microsatellite instable)
and HT-29 (p53 mutant, K-RAS wild type, microsatellite stable). The
20 NSGMs identified for this study were at 100 μM concentration.
(B) Screen 2 (secondary (2°) and tertiary (3°) growth assays)
results with hits identified in Screen 1. Note: NSGMs were not added
to the medium in 2° and 3° growth assays. Red arrows indicate
positive hits in Screen 1 (A) and Screen 2 (B) (p < 0.0005). Data is represented as percent of vehicle-treated
cells. Error bars represent ±1 SEM.
Identification of Sulfated NSGMs that Inhibit Growth and Self-Renewal
of CSCs
To study the CSC-targeting ability of the sulfated
NSGMs, we utilized our earlier observation that CSCs/progenitors are
enhanced several-fold in spheroid culture compared to monolayer culture.[27] In fact, colon HT-29 spheroids were found to
express Leu-rich repeat-containing G-protein coupled receptor 5 (LGR5),
an established CSC marker,[28] several-fold
higher than cells grown as monolayers (Supporting
Information Figure S3). More importantly, CSCs grown in spheroid
condition differ significantly from monolayer counterparts with respect
to activation of key signaling pathways, for example, Wnt/β-catenin
signaling among others.[16,27] We exploited this to
develop a novel screen for identifying molecules that selectively
target colorectal CSCs. In this screen, sulfated NSGMs that inhibit
HT-29 growth under spheroid conditions, but not under monolayer conditions,
were then assessed for retention of 2° and 3° spheroid growth
inhibition profiles in the absence of NSGM. The latter screen is of
particular importance as primary spheroid growth although selective
for CSCs doses not distinguish between non-self-renewing progenitors
and self-renewing CSCs. Hence, sulfated NSGMs that satisfy this tandem,
dual screen would preferentially target self-renewing CSCs. From the
library of 53 sulfated NSGMs, 11 showed >50% inhibition of primary
sphere formation in HT-29 cells (Figure 2)
without inducing any meaningful inhibition of monolayer growth (see Supporting Information Figure S4 for all results).
These 11 NSGMs belonged to G2, G4, G11, and G12 scaffolds but only
four of the six G2 molecules, one of the two G4, four of the seven
G11 and two of the five G12 molecules satisfied the first screen.
Similar results were observed for HCT-116colon cancer cell line (Figure 2a), which has a distinct genetic background compared
to HT-29 cells. Interestingly, the active G2 and G4 NSGMs showed better
inhibition of HCT-116CSCs (p53 wild-type) as compared to HT-29 spheroids
(p53 mutant). In contrast, G11 and G12 NSGMs did not display such
a consistent trend.
Figure 2
Results of the tandem, dual screening
strategy. (A) Screen 1 results
following primary spheroid growth studies in two colon cancer cell
lines HCT-116 (p53 wild type, K-RAS mutant, microsatellite instable)
and HT-29 (p53 mutant, K-RAS wild type, microsatellite stable). The
20 NSGMs identified for this study were at 100 μM concentration.
(B) Screen 2 (secondary (2°) and tertiary (3°) growth assays)
results with hits identified in Screen 1. Note: NSGMs were not added
to the medium in 2° and 3° growth assays. Red arrows indicate
positive hits in Screen 1 (A) and Screen 2 (B) (p < 0.0005). Data is represented as percent of vehicle-treated
cells. Error bars represent ±1 SEM.
The 11 sulfated NSGMs were then studied
for their effect on 2° and 3° sphere formation (HT-29 and
HCT-116) in Screen 2. By design, this screen reflects a test of true
self-renewability of CSCs.[2,3] Single cell suspension
obtained from primary spheres formed above was then cultured in the
absence of NSGM. Only three (G2.2, G11.1 and G12.2) showed >50%
inhibition
in both 2° and 3° sphere formation in HT-29 cells (Figure 2b). Of these three, G2.2 (a dimeric sulfated flavonoid)
was especially interesting because two closely related analogues,
G1.4 (monomeric) and G4.1 (trimeric), completely failed at Screen
1 and Screen 2 stages, respectively (Figure 1). G2.2, the “lead” NSGM demonstrated a steep dose–response
profile for primary spheroid inhibition with an apparent IC50 of ∼58 μM (Supporting Information
Figure S5). Moreover, G2.2 also inhibited spheroid formation
in HCT-116 (p53 null) and Panc-1 (pancreatic) cancer cell lines with
essentially identical potency (Supporting Information
Figure S6). The results suggested a more generic applicability
of CSC-targeting effect of G2.2.
As predicted on the basis of results achieved in
the selective targeting assay, G2.2 inhibited expression of CSCs markers
and self-renewal factors in HT-29 colon cancer cells confirming its
CSC-targeting ability. G2.2 reduced the expression of all five CSCs
markers[28,29] examined including CD44, CD133, epithelial
adhesion molecule (EpCAM), LGR5, C-X-C chemokine receptor type 4 (CXCR-4)
by ∼25–55% (Figure 3a and b).
In striking contrast, G1.4 and G4.1 displayed no effect on the expression
of any of the CSCs markers tested (Figure 3a and b). Additionally, flow-cytometric analyses for LGR5 showed
a similar (39%) reduction in LGR5 (hi) cells following treatment with
G2.2, but only a modest (<15%) decrease with G1.4 compared to vehicle-treated
controls (Figure 3c). To confirm that these
changes are meaningful, we performed two control experiments with
agents known to up- or down-regulate LGR5. Considering that LGR5 is
a target of canonical β-catenin signaling,[30] exposure to an activator (GSK-3β inhibitor CHIR-99021)[31] or inhibitor (iCRT14)[32] of β-catenin signaling should predictably alter expression
of LGR5. Figure 3d results confirm these predictions
and further support the phenotypic changes induced by G2.2. Likewise,
similar findings were observed for DCLK1, another intestinal stem
cell marker that is highly expressed in colon CSCs[33] (see Supporting Information Figure
S7).
Figure 3
Effects of G2.2 and its inactive structural analogues, G1.4 and
G4.1, on CSC markers. (A and B) shows the effect on the protein expression
of CSC markers including CD44, EpCAM, CD133, LGR5, and CXCR4, while
(C) shows flow cytometry profiles of LGR5, a CSC marker, expression
in spheroids treated with G2.2 (100 μM) or its analogues (100
μM) as compared to vehicle-treated cells. (D) shows the results
of treatment with known pharmacological activator (GSK-3β inhibitor,
CHIR-99021(100 nM)) and inhibitor (iCRT14 (40 nM)) of β-catenin
pathway, which regulates LGR5 expression, were used as biological
control to establish appropriate gating for analyses of flow data
(C). Western blots (A) were performed using antibodies available for
the studied CSC markers. GAPDH is the house-keeping control. Bar graphs
(B) show the relative change in expression levels of the marker in
comparison to vehicle-treated CSCs using densitometry. Error bars
represent ±1 SEM *represents p < 0.01 compared
to respective controls.
Effects of G2.2 and its inactive structural analogues, G1.4 and
G4.1, on CSC markers. (A and B) shows the effect on the protein expression
of CSC markers including CD44, EpCAM, CD133, LGR5, and CXCR4, while
(C) shows flow cytometry profiles of LGR5, a CSC marker, expression
in spheroids treated with G2.2 (100 μM) or its analogues (100
μM) as compared to vehicle-treated cells. (D) shows the results
of treatment with known pharmacological activator (GSK-3β inhibitor,
CHIR-99021(100 nM)) and inhibitor (iCRT14 (40 nM)) of β-catenin
pathway, which regulates LGR5 expression, were used as biological
control to establish appropriate gating for analyses of flow data
(C). Western blots (A) were performed using antibodies available for
the studied CSC markers. GAPDH is the house-keeping control. Bar graphs
(B) show the relative change in expression levels of the marker in
comparison to vehicle-treated CSCs using densitometry. Error bars
represent ±1 SEM *represents p < 0.01 compared
to respective controls.Effects of G2.2 on the mRNA levels of CSC markers at 6 h (A). Real-time
quantitative reverse transcriptase polymerase chain reaction was used
to determine relative mRNA expression of CSC genes and GAPDH served
as house-keeping control. (B) shows the protein expression of select
CSC markers LGR5 and CXCR4 at 6- and 24 h following treatment with
G2.2 (100 μM) or vehicle. Numbers under the blot in red (B)
show the relative change in expression levels of the marker in comparison
to vehicle-treated CSCs using densitometry. Error bars represent ±1
SEM; * represents p < 0.01 compared to respective
controls.To understand the mechanism by
which G2.2 might induce these molecular
changes, we examined expression of above CSC markers at mRNA and protein
levels at various time points. We observed a marked decrease in mRNA
levels of several CSC markers at 6 h following treatment with G2.2
compared to controls (Figure 4a). With regard
to the corresponding proteins, there was minimal change at 6 h but
a significant decrease at 24 h (Figure 4b).
These findings suggest that mRNA changes precede changes in protein
expression strongly supporting the notion that G2.2 regulates CSC
markers through regulation of gene transcription. Taken together,
these results provide compelling evidence that G2.2 targets CSCs at
a molecular level, which supports the phenotypic findings of spheroid
growth inhibition described above. More importantly, the structure–activity
dependence observed between two related NSGMs suggest that the fine
structure of the molecule is critical for the CSC targeting ability.
Figure 4
Effects of G2.2 on the mRNA levels of CSC markers at 6 h (A). Real-time
quantitative reverse transcriptase polymerase chain reaction was used
to determine relative mRNA expression of CSC genes and GAPDH served
as house-keeping control. (B) shows the protein expression of select
CSC markers LGR5 and CXCR4 at 6- and 24 h following treatment with
G2.2 (100 μM) or vehicle. Numbers under the blot in red (B)
show the relative change in expression levels of the marker in comparison
to vehicle-treated CSCs using densitometry. Error bars represent ±1
SEM; * represents p < 0.01 compared to respective
controls.
Mechanism of G2.2 Mediated Inhibition of CSC Growth
To gain
further insight into mechanism of selective CSC targeting
by G2.2, we examined its effect on broad cellular processes in spheroid
cells. CSC growth is regulated by a fine balance between self-renewal
and differentiation.[34] We examined CK20,
a marker of colonic differentiation, expression in spheroid cells
grown on collagen in the presence of 2.5% serum, which is known to
promote differentiation,[16] following treatment
with G2.2. We observed only a modest induction of CK20 expression
following G2.2 treatment compared to vehicle treated controls using
two different methods (Western blot and immunocytochemistry, Figures 5a and b). On the other hand, G2.2 caused a significant
inhibition of self-renewal factors BMI-1 and c-MYC, while it had little
effect on OCT-4 levels (Figures 5c and d).
In comparison, the inactive analogue G1.4 induced no such changes
(Figures 5c and d). These findings suggest
that G2.2 might inhibit CSC growth, at least in part, through attenuation
of self-renewal. In fact, inhibition of BMI-1 expression in colon
cancer is being currently exploited as a therapeutic strategy to selectively
target CSCs.[35]
Figure 5
Mechanisms of CSC targeting
by G2.2. (A, B) Expression of colonic
differentiation marker CK20 in colonosphere cells at various time
points using Western-blot (A) and immunocytochemistry and imaged with
confocal microscopy (B). Differentiation was induced by growing the
cells on collagen matrix in the presence of 2.5% serum. (C, D) The
effect on the expression of self-renewal factors including OCT4, BMI-1
and C-MYC. Bar graphs (D) show the relative change in expression levels
of the marker in comparison to vehicle-treated CSCs using densitometry.
NSGM treatment was carried out at 100 μM concentration. Error
bars represent ±1 SEM; * represents p < 0.01
compared to respective controls. The experiments were carried out
in HT-29 colon cancer cells.
Mechanisms of CSC targeting
by G2.2. (A, B) Expression of colonic
differentiation marker CK20 in colonosphere cells at various time
points using Western-blot (A) and immunocytochemistry and imaged with
confocal microscopy (B). Differentiation was induced by growing the
cells on collagen matrix in the presence of 2.5% serum. (C, D) The
effect on the expression of self-renewal factors including OCT4, BMI-1
and C-MYC. Bar graphs (D) show the relative change in expression levels
of the marker in comparison to vehicle-treated CSCs using densitometry.
NSGM treatment was carried out at 100 μM concentration. Error
bars represent ±1 SEM; * represents p < 0.01
compared to respective controls. The experiments were carried out
in HT-29 colon cancer cells.Mechanisms of CSC targeting by G2.2. (A, B) Apoptosis induction
was measured as proportion of annexin V (+)/propidium iodide (+) cells
(A) and as relative proportion of cells exhibiting nuclear changes
characteristic of apoptosis using fluorescence microscopy following
staining with acridine orange and ethidium bromide dyes (B). Apoptosis
index = ([apoptotic cells (exp.)/total cells (exp.)]/[apoptotic cells
(ctr.)/total cells (ctr.)]). (C) Shows relative cell cycle distribution
at 24 h following appropriate treatment. Treatment with respective
NSGM (100 μM) was carried out in HT-29 colon cancer cells. Error
bars represent ±1 SEM; * represents p < 0.01
compared to respective controls.To understand if G2.2 might exert additional effects on growth/survival
of CSCs, we examined cell cycle distribution as well as induction
of apoptosis in spheroid cells. G2.2 caused a very modest effect on
cell cycle progression as evident by the small increase in proportion
of spheroid cells in G1 phase compared to vehicle treated controls
(Figure 6). On the other hand, using two different
methods to examine apoptosis induction, annexin V labeling and acridine
orange/ethidium bromide staining, we observed a 2 to 3-fold induction
of apoptosis in spheroid cells treated with G2.2 compared to vehicle
treated controls (Figure 6a and b). In contrast,
the inactive analogue G1.4 demonstrated no such effects (Figure 6b). Moreover, G2.2 did not induce apoptosis in CSC-poor
monolayer counterparts (Figure 6b). Overall,
the findings suggest that G2.2 selectively inhibits CSCs through induction
of apoptosis as well as attenuation of self-renewal.
Figure 6
Mechanisms of CSC targeting by G2.2. (A, B) Apoptosis induction
was measured as proportion of annexin V (+)/propidium iodide (+) cells
(A) and as relative proportion of cells exhibiting nuclear changes
characteristic of apoptosis using fluorescence microscopy following
staining with acridine orange and ethidium bromide dyes (B). Apoptosis
index = ([apoptotic cells (exp.)/total cells (exp.)]/[apoptotic cells
(ctr.)/total cells (ctr.)]). (C) Shows relative cell cycle distribution
at 24 h following appropriate treatment. Treatment with respective
NSGM (100 μM) was carried out in HT-29 colon cancer cells. Error
bars represent ±1 SEM; * represents p < 0.01
compared to respective controls.
Conclusions
This is the first report describing anticolon
CSC selective properties of a NSGM. These molecules represent a major
translational advance over naturally occurring GAGs because of their
ease of synthesis, biophysical properties (hydrophobic as well as
hydrophilic nature) and structural homogeneity.[18] In fact, the structural complexity of GAGs has been a major
challenge and NSGMs are likely to fulfill the major gap in availability
of GAG-like molecules.The therapeutic and chemical biology
potential of NSGMs and GAG-like molecules is high. PI-88, a mixture
of highly sulfated oligomannans that targets growth factor signaling,
is being currently evaluated in clinical trials of various cancers.[36,37] However, it is not known whether PI-88 targets CSCs. NSGMs also
possesses multiple sulfate groups, in the manner of PI-88, and our
earlier work shows that they typically bind in the GAG-binding site
on proteins and modulate function.[18−23] The fine structure–activity relationship noted in the anti-CSC
function of NSGMs suggests recognition of one or more target protein(s).
Identification of these proteins should facilitate the design of more
potent analogues. One important finding of this work is that G2.2
inhibits CSCs from several cell lines (HT-29, HCT-116 and Panc-1).
This implies that a broader anti-CSC profile is possible through NSGMs,
which should enhance the clinical relevance of these novel molecules.Finally, our tandem, dual screen approach opens up a novel and
relatively simple avenue for not only discovering anti-CSC agents
but also identifying agents selectively targeting progenitor cells.
In fact, we discuss such an observation with G4.1. Although G4.1 belongs
to the same core scaffold as G2.2 (the flavonoid scaffold), it exerts
its effects mostly on early progenitor cells. This finding implies
that microscopic configurational and/or conformational differences
play key roles in fine-tuning selectivity for targeting CSCs or progenitor
cells. Such structural dependence of biological activity for NSGMs
has been observed earlier and highlights the possibility of using
this approach for advancing fundamental functional understating of
stem cells/progenitors biology using chemical tools.
Materials and Methods
Chemicals, Reagents, and
Chemical Methods
Anhydrous
CH2Cl2, THF, CH3CN, DMF, methanol,
acetone. and HPLC grade solvents were purchased from Sigma-Aldrich
or Fisher and used as such. All other chemicals were of reaction grade
as used as received from Sigma-Aldrich, Fisher, or TCI America. n-Hexylamine for ion-pairing UPLC was from Acros Organics.
Analytical TLC was performed using UNIPLATE silica gel GHLF 250 um
precoated plates (ANALTECH). Column chromatography was performed using
silica gel (200–400 mesh, 60 Å) from Sigma-Aldrich. Flash
chromatography was performed using Teledyne ISCO, Combiflash RF system
and disposable normal silica cartridges of 30–50 μ particle
size, 230–400 mesh size, and 60 Å pore size. Sulfated
molecules were purified using SephadexG10 size exclusion chromatography.
The quaternary ammonium counterion of sulfate groups present in the
molecules was exchanged for sodium ion using SPSephadex–Na
cation exchange chromatography. Each compound was characterized using 1H and 13C NMR spectroscopy, which was performed
on Bruker 400 MHz spectrometer in either CDCl3, CD3OD, acetone-d6, or D2O. ESI MS of unsulfated molecules were recorded using Waters Acquity
TQD MS spectrometer in positive ion mode, whereas ESI MS negative
mode was used for sulfated compounds.
Synthesis and Characterization
of Non-Saccharide Glycosaminoglycan
Mimetics (NSGMs)
The synthesis of G1.1–G1.7, G5.1–G5.2,
G6.1–6.11, G7.1, G8.1, G9.1–9.2, G10.1–G10.8,
and G11.1 has been reported earlier[19−25] and hence not presented here. NSGMs belonging to the G2, G3, G4,
G11 (except for G11.1), and G12 scaffolds are new and are being reported
for the first time. The detailed synthesis of these NSGMs (and intermediates
used in their synthesis) is described in Schemes S1 through S8 in
the online Supporting Information section.
The synthetic protocol involves several steps of traditional organic
chemistry transformations that typically yield good yields. Each new
compound was characterized using 1H and 13C
NMR spectroscopies on Bruker 400 MHz spectrometer and ESI-MS using
Waters Acquity TQD MS spectrometer. The spectral data for newly synthesized
molecules are presented in the online Supporting
Information.
Cell Culture
HT-29 and HCT-116humancolon cancer cells
were kindly gifted by Dr. Majumdar (Wayne State University) and PANC-1
cells were obtained from ATCC. These cells were maintained in 10 cm
tissue cultured treated plate (USA Scientific) as monolayer in Dulbecco’s
Modified Eagle Medium: Nutrient Mixture F-12 (DMEM/F-12) (Gibco) supplemented
with 10% fetal bovine serum (FBS) (Gibco), and 1% streptomycin/penicillin(AA)
(Gibco). The cells were passaged using trypsin containing ethylenediaminetraacetic
acid (EDTA) (Gibco) before they reached 70% confluence.
Cell Proliferation
Assay
Cell proliferation was evaluated
by (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide)
MTT cell proliferation assay. For HT-29 cell line approximately 2.5
× 103 cells/100 μL/well were plated in 96-well
tissue culture treated plate. After overnight incubation at 37 °C
vehicle (control) or NSGM was added at the desired concentration and
the cells were further incubated for 60–72 h. At the end of
the incubation, 10 μL of 5 mg mL–1 MTT solution
(Sigma) made in phosphate buffered saline (PBS) (Gibco) was added
to each well and incubated for minimum of 2 to 3 h until crystals
formation was observed. Following this, 150 μL of 4 mM HCl (Sigma)
in isopropanol solution was added dropwise to each well and the mixture
was triturated until the crystals dissolve completely. Finally, the
plate was placed on the spectrophotometer reader and read at 590 nm
and growth inhibition was calculated as percent of control.
Primary
(1°) Colonosphere Formation Assay
For
primary sphere formation, cells were plated in nontreated, low adhesion,
96 wells plate at the concentration of 100 cells/100 μL/well
in stem cell media (SCM) that consisted of DMEM:F12:AA (Gibco), supplemented
with 1× B27 (Gibco), 20 ng/mL epidermal growth factor, and 10
ng/mL fibroblast growth factor (Sigma). After 4 h of incubation, vehicle
(control) or NSGM at the desired concentrations were added to each
well (at least in triplicates for each sample). On day five, numbers
of spheres ranging from 50 to 150 mm in diameter were counted using
phase contrast microscope and percent inhibition was calculated compared
to control.
Secondary (2°) and Tertiary (3°)
Colonosphere Assay
For secondary colonospheres, the 96-well
plate of primary spheres
was centrifuged at speed of 1000 rpm for 1 min and the supernatant
was removed. Spheres that settled at the base of the plate were trypsinized
with 20 μL/well and single cell suspension was prepared using
vigorous mechanical dissociation. The numbers of viable cell were
counted with 1:5 ratio of cell: trypan blue and then replated at 100
cells/100 mL/well in SCM media in a low adhesion plate. No further
treatment with NSGMs was performed. Numbers of spheres were counted
as above on day 5. The same method was repeated for tertiary spheres.
Western Blotting Analysis
Western blot analysis was
performed according to the standard protocol described in the literature.
Briefly, HT-29 cells were plated in serum-free SCM in a low adhesion
6-well plate to obtain spheroids. Mature spheroids were treated on
day 4 after plating, with vehicle or NSGMs for indicated time and
cells were solubilized in lysis buffer (20 mM Na3PO4, 100 mM NaCl, 2 mM EDTA, 1% Nonidet P-40, 2.5 mM Na3VO4) containing protease (Roche) as well as phosphatase
inhibitor cocktails (Sigma). Following centrifugation at 14 000
g for 15 min, the supernatant was used for Western blot analysis.
In all analyses, protein concentration was determined by the Bio-Rad
Protein Assay kit (Bio-Rad). Approximately 25–50 μg of
protein was separated by polyacrylamide gel electrophoresis and was
transferred to PVDF membrane (Bio-Rad). Blocking was done with 5%
low fat milk powder for 1 h followed by overnight incubation with
primary antibody (dilution 1:1000): anti-CD44 (Cell Signaling), anti-EpCAM
(Cell Signaling), anti-LGR5 (Origene), anti-CD133 ((Miltenyi Biotec),
anti-CXCR4 (Abcam), anti-OCT4 (Cell Signaling), anti-BMI-1(Millipore),
anti-c-MYC (Millipore), and anti-CK20 (Abcam). This was followed by
incubation with appropriate secondary antibody and protein bands were
visualized using the enhanced chemiluminescence detection system and
imaged with LAS-3000 Imaging System (FUJIFILM). Densitometry was determined
by AIDA image analyzer software (Raytest) and results were calculated
as relative intensity compared to control. All experiments were performed
at least three times.
Flow Cytometry Analysis
Human colon
cancerHT-29 cells,
grown in spheroid or monolayer condition were treated with vehicle
or NSGMs for 24 h, were trypsinized and single cells were resuspended
at 106 cells/mL in PBS buffer. Cells were incubated with
fluorophore conjugated antibody for 30 min at 4 °C and washed
once with PBS buffer prior to analysis. Following antibody and dilution
were used: LGR5-PE) (Dilution 1:50, Origene), DCLK1(Dilution 1:33,
Abcam). Cell sorting was performed using FACSAria II High-Speed Cell
Sorter (BD Biosciences) and data were analyzed with FCS Express 4
Flow Cytometry software (De-Novo Software).
Real-time PCR Analysis
Total RNA was isolated using
the mirVana miRNA Isolation Kit (Life technologies, Grand Island,
NY). One μg total RNA was reverse transcribed using First-Strand
cDNA Synthesis Kit using hexamer reverse primer (Affymetrix). Real
time QPCR was performed using RT2 SYBR Green qPCR Master
mix (Qiagen) in a 7500 fast real time machine (Applied Biosystem).
Relative expressions of mRNA were calculated using ΔΔCT
methods using GAPDH as a loading control. Primers used in the study
include CXCR4 (Forward 5′ ACT ACA CCG AGG AAA TGG GCT 3′,
Reverse 5′ CCC ACA ATG CCA GTT A AG A AGA 3′); CD44
(Forward 5′ AGC AAC CAA GAG GCA AGA AA 3′, Reverse 5′
GTG TGG TTG AAA TGG TGC TG 3′); LGR5 (Forward 5′ CTC
CCA GGT CTG GTG TGT TG 3′, Reverse 5′ GAG GTC TAG GTA
GGA GGT GAA G 3′); CD133 (Forward 5′ GGA CCC ATT GGC
ATT CTC 3′, Reverse 5′CAG GAC ACA GCA TAG AAT AAT C
3′); GAPDH (Forward 5′ TGT TGC CAT CAA TGA CCC CTT 3′,
Reverse 5′CTC CAC GAC GTA CTC AGC G 3′).
Differentiation
Assay
Single cell suspension from mature
HT-29 colonosphere pretreated with vehicle or G2.2 for 24 h were plated
on collagen coated glass coverslips or flasks in the presence of media
supplemented with 2.5% FBS containing G2.2 or vehicle. At indicated
time points, cells lysate was examined for CK-20 expression with western-blot
as above. Alternatively, cells were fixed with 4% paraformaldehyde
for 20 min at RT, permeabilized for 5 min in 0.5% Triton X-100 solution
and blocked in PBS containing 1% BSA for 1 h prior to incubation with
anti-CK-20 antibody (Abcam) for 2 h. Cells were then washed, incubated
for 60 min with Alexa Fluor conjugate secondary antibodies, rinsed
with blocking buffer and mounted on slides with DAPI containing ProLong
Gold Antifade Reagent (Invitrogen). Fluorescently labeled cells were
examined using a Zeiss LSM700 laser scanning confocal microscope (Zeiss
Micro imaging Inc.). Alexa Flour 555 signals were imaged sequentially
at 40× magnification in frame-interlaced mode to eliminate cross
talk between channels.
Apoptosis Assay
Humancolon cancerHCT-116 cells, grown
in spheroid condition were treated with vehicle or NSGMs for 24 h.
Following which cells were trypsinized and single cells were resuspended
at 106 cells/mL in PBS buffer. Two different methods were
used to assess apoptosis induction. In the first methods, cells were
incubated with propidium iodide and Annexin V-APC (ebioscience) and
flow cytometric analyses were performed as above. In the second method,
fluorescence microscopy was employed to examine morphological changes
suggestive of apoptosis following staining with 1:1 mixture of 100
μg/mL each of acridine orange (AO) and ethidium bromide (EB)
prepared in PBS. Briefly, a small volume of cell suspension was mounted
on a glass slide and incubated with 1 μL of AO/EB solution and
mixed gently just prior to microscopy and quantification. At least
500 cells in 10–15 fields were examined in each sample using
Nikon ECLIPSE E800 M fluorescence microscope using 20× objective.
Results were quantitated as proportion of cells exhibiting characteristic
apoptotic morphology normalized to vehicle treated controls. The data
was expressed as apoptosis index = [([apoptotic cells (NSGMs)/total
cells (NSGMs)]/[apoptotic cells (vehicle)/total cells (vehicle)]).
Statistical Analysis
All data are expressed as means
± SEM unless otherwise indicated. The results were analyzed using
the unpaired, two-tailed Student’s t test. p < 0.01 was designated as the level of significance
unless specified otherwise.
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