Drug-target interaction, cellular internalization, and target engagement should be addressed to design a lead with high chances of success in further optimization stages. Accordingly, we have designed conjugates of folic acid with anticancer peptides able to bind human thymidylate synthase (hTS) and enter cancer cells through folate receptor α (FRα) highly expressed by several cancer cells. Mechanistic analyses and molecular modeling simulations have shown that these conjugates bind the hTS monomer-monomer interface with affinities over 20 times larger than the enzyme active site. When tested on several cancer cell models, these conjugates exhibited FRα selectivity at nanomolar concentrations. A similar selectivity was observed when the conjugates were delivered in synergistic or additive combinations with anticancer agents. At variance with 5-fluorouracil and other anticancer drugs that target the hTS catalytic pocket, these conjugates do not induce overexpression of this protein and can thus help combating drug resistance associated with high hTS levels.
Drug-target interaction, cellular internalization, and target engagement should be addressed to design a lead with high chances of success in further optimization stages. Accordingly, we have designed conjugates of folic acid with anticancer peptides able to bind humanthymidylate synthase (hTS) and enter cancer cells through folate receptor α (FRα) highly expressed by several cancer cells. Mechanistic analyses and molecular modeling simulations have shown that these conjugates bind the hTS monomer-monomer interface with affinities over 20 times larger than the enzyme active site. When tested on several cancer cell models, these conjugates exhibited FRα selectivity at nanomolar concentrations. A similar selectivity was observed when the conjugates were delivered in synergistic or additive combinations with anticancer agents. At variance with 5-fluorouracil and other anticancer drugs that target the hTS catalytic pocket, these conjugates do not induce overexpression of this protein and can thus help combating drug resistance associated with high hTS levels.
A holistic approach
to drug discovery takes into account the predictable
multitarget interactions and focuses on both cellular internalization
of the potential drug and its intracellular binding to on- and off-targets.
To move in such direction, in this work, we have tracked the trafficking
of two new anticancer lead compounds from the region outside cells
to their intracellular target, i.e., the human thymidylate cycle[1,2] that involves the enzymes thymidylate synthase (TS, EC:2.1.1.45),
dihydrofolate reductase (DHFR, EC:1.5.1.3), and serine-hydroxymethyl
transferase (SHMT, EC:2.1.2.1). All of the reactions catalyzed by
these enzymes constitute essential steps in the biosynthesis of DNA
nucleotide bases.[2,3] Two additional enzymes are crucial
to the purinenucleoside synthesis, namely, glycinamide ribonucleotide
formyltransferase (GARFT, 2.1.2.2) and aminoimidazolecarboxamide ribonucleotide
formyltransferase (AICARTF, 3.5.4.10) (Figure A). The methylation reaction catalyzed by
humanthymidylate synthase (hTS) provides the only cellular source
of 2′-deoxythimidine monophosphate (dTMP). This protein equilibrates
between an active and an inactive form, and between the dimer and
the separated constituent monomers. The thymidylate cycle enzymes
are important targets for anticancer drugs.[1] Among the latter, methotrexate, raltitrexed (RTX), and pemetrexed
(PMX) (Figure B) have
been largely employed for a few decades. More recently, CT900 (ONX
0801) has been included in advanced clinical trials.[4] At present, approximately 1800 ongoing clinical trials
involve anticancer drugs that target hTS and other folate-dependent
enzymes. All of these drugs are folate structural analogues that compete
with the folate substrate to bind at the TS-enzyme active site. Their
similarity to folic acid (FA) allows them not only to preferentially
bind the folate enzymes but also to enter cells with the same mechanisms
as FA, i.e., by folate receptor α (FRα), reduced folate
carrier (RFC), and proton-coupled folate transport (PCFT).[5,6] FRβ, an additional folate transporter, being mostly expressed
in macrophages, is not relevant in the experimental model investigated
in this work.
Figure 1
(A) hTS cycle with the folate enzymes involved and connection
to
DNA and purine nucleoside syntheses. TS, thymidylate synthase; DHFR,
dihydrofolate reductase; SHMT, serine-hydroxymethyl transferase; GARFT,
glycinamide ribonucleotide formyltransferase; AICARTF, aminoimidazolecarboxamide
ribonucleotide formyltransferase. (B) Structures of folic acid (FA)
and of several folate-analogue inhibitors of thymidylate synthase
that enter cancer cells through the reduced folate carrier (RFC) (pemetrexed,
methotrexate, raltitrexed) and FRα (CT900); FA–LR peptide
conjugate. (C) Details of the X-ray crystal structure of hTS with
the interface-bound LR peptide inhibitor.
(A) hTS cycle with the folate enzymes involved and connection
to
DNA and purinenucleoside syntheses. TS, thymidylate synthase; DHFR,
dihydrofolate reductase; SHMT, serine-hydroxymethyl transferase; GARFT,
glycinamide ribonucleotide formyltransferase; AICARTF, aminoimidazolecarboxamide
ribonucleotide formyltransferase. (B) Structures of folic acid (FA)
and of several folate-analogue inhibitors of thymidylate synthase
that enter cancer cells through the reduced folate carrier (RFC) (pemetrexed,
methotrexate, raltitrexed) and FRα (CT900); FA–LRpeptide
conjugate. (C) Details of the X-ray crystal structure of hTS with
the interface-bound LRpeptide inhibitor.In the effort to discover new anticancer agents specifically targeting
the TS cycle, we have recently identified some octapeptides, designed
to target the protein monomer–monomer interface, that act as
cell growth inhibitors of cisplatin (cDDP)-sensitive and -resistant
human ovarian cancer (OC) cells.[7] Among
these, peptide LSCQLYQR (LR) and its isomer [DGln4]LR inhibit
hTS activity.[8] The X-ray crystal structures
of the complexes with hTS of the LRpeptide showed binding at the
monomer–monomer interface of the inactive form of the enzyme
(Figure C).[9−11] Kinetic results were consistent with this unusual binding mode and
with an inhibition mechanism based on stabilization of the inactive
conformation of the enzyme. These peptides represent the only TS inhibitors
that bind at the protein–protein interface, cause inhibition
of cancer cell growth, and, at the same time, do not induce overexpression
of hTS and lead to a reduced expression of the DHFR enzyme. This is
at variance with the above-mentioned active site binding antifolate
drugs that induce overexpression of both proteins, a fact likely related
with the onset of drug resistance.[8] The
LR and [DGln4]LR peptides, however, feature poor cell membrane
penetration and, to be delivered to cancer cells, require use of either
a commercial peptide delivery system[8,9] or untagged
liposomes.[12,13] While both delivery systems featured
limited toxicity and gave interesting results, they did not allow
a selective targeting of cancer cells. On the other hand, overexpression
of specific transporters by some cancer types can provide an opportunity
to develop a less laborious and more selective delivery approach.A known cell-membrane-selective penetration strategy consists in
combining FA with chemotherapeutic drugs yielding conjugates that
are transported into cells by means of a physiological binder of FA.
Once inside cells, the conjugates may either be cleaved to release
the chemotherapeutic agent or, like in the case of CT900, act as such.[4] Among the known folate transporters, PCFT only
works at acidic pH values, while RFC has very low affinities for nonreduced
FA.[6] Thus, we have focused on folate receptor
α (FRα). FRα is upregulated in many primary and
metastatic cancers,[14] including epithelial
cancers and more than 90% of nonmucinous OCs,[15] as well as in platinum-resistant ovarian cancers. Because it is
almost absent in normal cells,[16] this strategy
is considered specific for cancer cells.[17,18] As a result, targeted drug delivery via FRα promises to expand
the therapeutic windows of drugs by favoring cancer cell membrane
crossing and by increasing the drug distribution ratio between tumor
and healthy tissues.[19−21] Indeed, many clinical trials involving FA conjugates
are ongoing.[22−25]In this integrated experimental/computational work, we first
describe
the design and synthesis of the conjugates of FA with the two anticancer
peptides, LR and [DGln4]LR (FA peptides). According to
our design and molecular modeling description, the FA moiety is expected
to allow the selective binding to FRα of an FA–peptide
conjugate, with its ensuing endocytic internalization and release
from the FRα:FA–peptide complex to interact with the
TS target, as observed with other anticancer FA conjugates.[18−20] Then, we tested the cytotoxic activities of the two conjugates versus
several different cell lines characterized by different levels of
FRα expression to show the FA–peptide conjugate preference
for highly FRα-expressing cancer cells. The analysis of the
modulation of a protein panel that was identified previously as a
marker for the biological activity of the peptides suggests that the
conjugates have the same intracellular mechanism of action as the
free peptides. Finally, combination studies of the conjugate with
anticancer agents were carried out to show the additive or synergistic
effects in cancer cells with high and low FRα expression. These
experiments confirmed the selectivity of compounds in the low concentration
range of the conjugates.In our design, we integrated molecular
modeling analysis of the
hTS:FA–peptide interaction complex and an experimental mechanistic
investigation of the enzyme inhibition. Both analyses were fully consistent
with these conjugates mainly acting as allosteric, dimer interface
binding inhibitors. Overall, this multidisciplinary work represents
an example of the design of lead compounds that addresses both cellular
drug internalization and preservation of affinity toward the target
enzyme. Also, it confirms that unconventional hTS inhibitors can bind
at the enzyme monomer–monomer interface and exhibit anticancer
activity without inducing overexpression of the target protein.
Results
and Discussion
Design and Synthesis of the FA–Peptide
Conjugates
We have designed the conjugates of folic acid,
FA, with two peptides,
LSCQLYQR (LR) and [DGln4]LR, with the aim to selectively
internalize the FA–peptide conjugates in cancer cells through
the FRα’s. Based on this design, we expect the FA moiety
of each conjugate to bind FA binding site of an FRα, so promoting
the endocytic cellular internalization of the conjugate. The FA moiety
might also provide an additional hTS-binding mode for an FA–peptide
conjugate. In fact, while, through its peptidic moiety, a conjugate
can bind the enzyme at the monomer–monomer interface of the
inactive form, the FA moiety might also directly bind at the folate
binding site in the catalytic pocket of the enzyme.[2,7]The FA–LR conjugate was synthesized according to the strategy
outlined in Figure . Selective conjugation with a target molecule at the γ position
of the glutamic moiety of FA is an essential requirement for recognition
by FRα.[26,27] However, our attempt to introduce
a folate unit at the N-terminal position of LR as the last step of
the solid-phase peptide synthesis (SPPS) of LR was unsuccessful. Because
of the extremely low solubility of FA in all of the common solvents
compatible with SPPS (i.e., dimethylformamide (DMF), N-methyl-2-pyrrolidone (NMP), dimethyl sulfoxide (DMSO)), and the
difficulty to chemoselectively activate the γ carboxylic function
of the glutamic moiety, we modified the synthetic strategy. The glutamic
acid unit was chemoselectively introduced at the N-terminal of the
LRpeptide as the last step of the SPPS. Then, N10-(trifluoroacetyl)pteroic acid was condensed with [γGlu0]–LR, thus reassembling FA to give, after removal of
the protecting groups, the final compound, FA–LR. The FA–[DGln4]LR conjugate was obtained following the same procedure. More
details are given in the Supporting Information (SI) (Figure SI-1).
Figure 2
Synthesis of the FA–LR
conjugate. A similar synthetic approach
yielded FA–[DGln4]LR.
Synthesis of the FA–LR
conjugate. A similar synthetic approach
yielded FA–[DGln4]LR.
Mechanism of Inhibition of Recombinant hTS
We studied
the inhibition of recombinant hTS by the two peptides, LR and [DGln4]LR, and their bioconjugates with FA at varying N5,N10-methylenetetrahydrofolate
(mTHF) and inhibitor concentrations. The double-reciprocal plots in Figure A reveal two qualitatively
different patterns of inhibition versus the folate substrate for the
peptides and their FA conjugates. While the peptides exhibit formally
competitive inhibition, the behaviors of the FA–peptide conjugates
are better accounted for in terms of noncompetitive/mixed-type inhibition.
The competitive-type inhibition, also exhibited by peptideLR versus
the other substrate, 2′-deoxythymidine-5′-monophosphate
(dTMP),[8] is consistent with the inhibition
mechanism sketched in Figure B. According to this mechanism, the two peptides bind the
inactive form of the enzyme (I) at the monomer–monomer interface
(species IiI and equilibrium 2 in Figure B). However, binding of mTHF (substrate s)
to the active enzyme–dUMP complex (AA) shifts the coupled equilibria
toward formation of the productive ternary complex (AAs), thus yielding
a maximum initial rate independent of the peptidic inhibitor concentration,
i.e., a formally competitive inhibition with common intercepts in
the double-reciprocal plots. The slopes of the least-squares lines,
fitted in terms of a linear dependence on the peptide concentration,
yield apparent K values of 90 ±
7 and 95 ± 13 μM for LR and [DGln4]LR, respectively.
On the other hand, the double-reciprocal plots observed with the two
FA–peptide conjugates indicate a dependence on the inhibitor
concentration of both slopes and intercepts, i.e., of the apparent
vmax, thus a mixed-type inhibition. From the slopes, we
obtain apparent K values of 40 ±
15 and 73 ± 6 μM, and from the intercepts, we obtain apparent K′ values of 44 ± 4 and 120 ±
30 μM for FA–LR and FA–[DGln4]LR, respectively.
Overall, the latter is a slightly worse inhibitor than the former.
In devising the inhibition mechanism in Figure B, that is an extension of the mechanism
previously proposed for the competitive inhibition by the LRpeptide,[8] we have taken into account the difunctional nature
of the FA–peptide inhibitors and have assumed formation of
significant amounts of nonproductive or slowly productive enzyme–substrate–inhibitor
complexes (iAAs). Similarly to our findings, three folate analogues
and their polyglutamylated forms were found to act as noncompetitive
or mixed inhibitors depending on their relative affinities for the
folate binding sites in the two catalytic pockets of hTS, the latter
claimed to become asymmetric and feature strongly different affinities
for the folate substrate as a result of dUMP binding.[28] From this study, we borrow the idea that folate substrate
analogues can bind hTS at two different sites. They can both compete
with the mTHF substrate at the catalytic pocket of the monomer occupied
by dUMP (AAi, equilibrium 3 in Figure B) and bind at the catalytic pocket of the other monomer
(iAA), possibly yielding a nonproductive complex together with the
folate substrate (iAAs, equilibria 4 and 6). According to the kinetic
equation obtained by solving the mechanism in Figure B, and the assumption that the main inhibition
route of the peptides is the formation of the IiI complex, for the
two peptides, the apparent K’s
correspond to [d]K2/K1, where d is dUMP. As in our experiments [d]/K1 holds about 15, from the two apparent K’s, 90 and 95 μM for LR and [DGln4]LR, respectively, we estimate K2 values 6–7 μM. These figures are consistent both with
the value estimated for the same equilibrium constant from inhibition
experiments performed with LR at fixed mTHF (∼10 μM)8 and with the fluorometrically evaluated dissociation constant
of the complex of the LRpeptide with hTS in a cellular environment
(Kd = 3.4 ± 0.5 μM).[29] Because 1/K = 1/K3 + 1/K4 + K1/[d]K2, the lower
apparent K values of the FA–octapeptide
conjugates, 38 and 73 μM, with respect to the K’s of the peptides, lend support to the idea
that the former can exert two kinds of competitive-type inhibition,
i.e., binding of the peptidic moiety at the monomer–monomer
interface of the inactive form of the enzyme (IiI, equilibrium 2 in Figure B) and of the FA-end
to the hTS–dUMP binary complex at the catalytic site(s) (iAA
and AAi, equilibria 3 and 4). If we assume the K2 values to be similar for the conjugates and peptides, we
estimate the 1/K3 + 1/K4 term to hold 0.015 and 0.003 μM–1 and calculate the harmonic means of K3 and K4 as 130 and 630 μM for FA–LR
and FA–[DGln4]LR, respectively. From these values,
we argue that the former conjugate is more efficient than the second
one in the additional path of competitive inhibition that, according
to our kinetic model, corresponds to binding of the FA-end of the
conjugates at the active site(s) (equilibria 3 and 4). The higher
propensity of FA–LR for this binding is confirmed by the apparent K′ values, 44 versus 110 μM. In
fact, according to our kinetic model, this constant corresponds to K4K6/K5 and is then closely related to the K4 constant. However, the affinity of this binding at the
active site of the enzyme is at least 1 order of magnitude lower than
that at the monomer–monomer interface for FA–LR and
even lower for FA–[DGln4]LR. The 2-fold binding
potential of the FA–peptide conjugates and the higher efficiency
of the noncompetitive inhibitory behavior of FA–LR with respect
to FA–[DGln4]LR are consistent with the molecular
modeling results described below.
Figure 3
(A) Double-reciprocal plots for the inhibition
of recombinant hTS
(1 μM in the LR experiments, 350 nM otherwise) by peptides LR
and [DGln4]LR and the bioconjugates FA–LR and FA–[DGln4]LR as a function of the mTHF substrate concentration. [LR]
= 0, 25, 50, and 100 μM, [[DGln4]LR] = 0, 40, 80,
and 150 μM, [FA–LR] = 0, 20, and 40 μM, [FA–[DGln4]LR] = 0, 50, and 75 μM. v = initial
rate. [dUMP] = 140 μM. (B) Inhibition mechanism of hTS by the
two peptides (only lower section, equilibria with K1 and K2) and the FA–peptide
conjugates. II = inactive hTS dimer; AA = active hTS dimer–dUMP
complex; d = dUMP; s = mTHF; i = inhibitor. Bottom: rate equation
obtained by solving the mechanism under the fast-equilibration approximation.
(A) Double-reciprocal plots for the inhibition
of recombinant hTS
(1 μM in the LR experiments, 350 nM otherwise) by peptides LR
and [DGln4]LR and the bioconjugates FA–LR and FA–[DGln4]LR as a function of the mTHF substrate concentration. [LR]
= 0, 25, 50, and 100 μM, [[DGln4]LR] = 0, 40, 80,
and 150 μM, [FA–LR] = 0, 20, and 40 μM, [FA–[DGln4]LR] = 0, 50, and 75 μM. v = initial
rate. [dUMP] = 140 μM. (B) Inhibition mechanism of hTS by the
two peptides (only lower section, equilibria with K1 and K2) and the FA–peptide
conjugates. II = inactive hTS dimer; AA = active hTS dimer–dUMP
complex; d = dUMP; s = mTHF; i = inhibitor. Bottom: rate equation
obtained by solving the mechanism under the fast-equilibration approximation.
Molecular Modeling of the Interaction of
FA–LR and FA–[DGln4]LR with hTS
HumanTS can assume both an active and
an inactive conformation (Figure ).[30,31] In the di-active form (Figure A), the two catalytic
sites, one per monomer, are occupied by the dUMP substrate. FA and
folate analogues are known to bind the dUMP-bound active form and
to interact with the dUMP substrate mostly by π–π
interactions.[31] In the inactive form, found
only in the absence of the dUMP substrate (Figure B), the binding sites enlarge and a broad
cavity appears at the monomer–monomer interface, where the
LRpeptide can bind (IiI state in Figures B and S1-3).[8] Therefore, the active/inactive hTS conformations
represent relevant models for studying the interaction with FA–peptide
conjugates. The latter can exploit this binding opportunity through
their peptidic moieties and can still bind the catalytic site of the
active form by means of their folate moiety, in the presence of dUMP
(iAA, AAi, and iAAs in Figure B). To gain insight into these conjugate hTS-binding modes,
we performed molecular docking simulations in both the di-active and
di-inactive protein conformations. Docking of FA–LR into the
active site of the hTS active form (PDB code 1HVY)[32] led to the formation of the complex reported in Figure C,D. The docking
region is represented by the pocket including the dUMP substrate and
by a part of the outer solvent-exposed region. The FA–LRfolate
moiety assumes an orientation similar to those of FA and antifolate
inhibitors, interacting with Asn112 through the aminobenzoatenitrogen
(Figure D), but also
with Asp218 and Gly222.
Figure 4
hTS structure and docking simulation of FA–LR
and FA–[DGln4]LR in the active and inactive protein
conformations. (A)
hTS active form (PDB code 1HVY). The two binding sites are represented by orange
surfaces, the dUMP substrate in blue sticks. (B) hTS inactive form.
The large cavity at the protein subunit interface is represented by
orange surfaces. (C) Docking pose of FA–LR within the hTS active
form. For clarity, only one monomer has been reported. The ligand
and the dUMP substrate are shown in cyan and orange capped sticks,
respectively. (D) Close-up of the FA–LR/hTS docking complex
in the active site. Hydrogen bonds are shown as black dashed lines.
Protein residues are labeled and displayed as green capped sticks.
(E) Docking pose of FA–LR at the protein subunit interface
of the hTS inactive form (IiI state in Figure B). (F) Docking pose of FA–[DGln4]LR at the protein subunit interface. (G, H) Superimposition
of the docking pose of FA–LR (7, cyan capped sticks) and FA–[DGln4]LR (8, green capped sticks) at the protein subunit interface
with the structure of the LR peptide co-crystallized with inactive
hTS (yellow capped sticks, PDB code 3N5E). The labels indicate the position of
the residue side chain (light blue, FA–LR; green, FA–[DGln4]LR; orange, LR).
hTS structure and docking simulation of FA–LR
and FA–[DGln4]LR in the active and inactive protein
conformations. (A)
hTS active form (PDB code 1HVY). The two binding sites are represented by orange
surfaces, the dUMP substrate in blue sticks. (B) hTS inactive form.
The large cavity at the protein subunit interface is represented by
orange surfaces. (C) Docking pose of FA–LR within the hTS active
form. For clarity, only one monomer has been reported. The ligand
and the dUMP substrate are shown in cyan and orange capped sticks,
respectively. (D) Close-up of the FA–LR/hTS docking complex
in the active site. Hydrogen bonds are shown as black dashed lines.
Protein residues are labeled and displayed as green capped sticks.
(E) Docking pose of FA–LR at the protein subunit interface
of the hTS inactive form (IiI state in Figure B). (F) Docking pose of FA–[DGln4]LR at the protein subunit interface. (G, H) Superimposition
of the docking pose of FA–LR (7, cyan capped sticks) and FA–[DGln4]LR (8, green capped sticks) at the protein subunit interface
with the structure of the LRpeptide co-crystallized with inactive
hTS (yellow capped sticks, PDB code 3N5E). The labels indicate the position of
the residue side chain (light blue, FA–LR; green, FA–[DGln4]LR; orange, LR).The ability of the folate moiety to properly occupy the folate
region can be appreciated by superimposing the FA–LR docked
pose with the crystallographic orientation of raltitrexed (Figure SI-2).[32] The
peptidic chain of FA–LR hangs out of the binding pocket and
takes a folded orientation making transient contact with Ser114 and
Phe117, through the side chain of the glutamine at position 7. Notably,
only 2 docking runs, over 25, generated the mentioned conformation
and properly located the folate moiety within the binding site, thus
underling the difficulty of the conjugate to adjust within the orthosteric
site of the enzyme active form. Despite the difficulty of docking
FA–LR in the active site, the conformation reported in Figure C,D obtained a good
GoldScore of 85. When raltitrexed was re-docked in the co-crystallized
structure (PDB ID 1HVYHVY), all poses were homogeneous and able to reproduce the crystallographic
conformation (Figure SI.2). The best pose
was scored 55, so lower with respect to that of FA–LR, possibly
because of the additional number of interactions made by the LR chain.
Docking FA–[DGln4]LR in the hTS active site gave
worse results, as no feasible pose into the folate pocket was obtained,
possibly because of the higher rigidity of the conjugate peptidic
region. Overall, this suggests a significant difficulty for the two
conjugates, particularly for FA–[DGln4]LR, to enter
the folate binding site in the active form of the protein. We did
not attempt any binding at the protein interface because in the active
conformation there is no room for hosting compounds at this interface.
Both conjugates were then docked at the protein subunit interface
of the inactive hTS conformation using the crevice at such interface
as a possible binding site (PDB code 3N5E).[32] The docking
poses for FA–LR and FA–[DGln4]LR are reported
in Figure E,F, respectively.
In both complexes, the central peptidic region of the ligand lies
at the monomer–monomer interface, while the folate moiety and
the peptide tail are oriented toward a more solvent-exposed region.
Moreover, the peptide orientation may allow the formation of a disulfide
bond between the cysteine in position 3 of the peptide and cysteine
180 of hTS. According to the crystallographic structure of the hTS–LR
complex, in fact, the cysteine sulfhydryl group lies at a suitable
distance to form an S–S bond with the peptide.[8] The superimposition of the docking poses of FA–LR
and FA–[DGln4]LR with the structure of the LRpeptide
co-crystallized at the interface of hTS inactive form (Figure G,H) highlights the similarity
between the predicted (docking) and the experimental (crystallographic)
orientation of the peptidic region. A detailed description of the
conjugates pose at the enzyme interface is reported in the SI. Briefly, FA–LR H-bonds to Gly143 in
both chains, Arg163, Thr170, and Leu192 in chain B (Figure SI-3a), while FA–[DGln4]LR H-bonds
Ala166, Pro169 in chain A Ala119, Thr142, and Thr145 in chain B (Figure SI-3b). Overall, the docking simulations
confirmed the capability of both conjugates to easily bind the protein
interface without the need to impose any structural constraint, in
keeping with the previously described competitive inhibition ability
of these compounds.[8] In particular, when
docked at the interface of hTS inactive form, the FA–LR and
FA–[DGln4]LR conjugates were scored 79 and 76, respectively,
quite similarly to the LR conjugate when re-docked in the corresponding
X-ray structure (PDB ID 3N5E, GoldScore equal to 84).As previously mentioned,
docking the conjugates at the binding
site in the hTS active conformation in the presence of dUMP turned
out to be more difficult in the case of FA–LR and not possible
with FA–[DGln4]LR. These findings support the indications
from the kinetic analysis that both conjugates bind more easily at
the dimer interface than at the protein active site. This preference
might shift the active–inactive equilibrium toward the inactive
state of the enzyme, in the presence of the conjugates.These
findings support the indications from the kinetic analysis
that both conjugates bind more easily at the dimer interface than
at the protein active site and, concerning a comparison between FA–LR
and its more rigid DGln4 analogue, are consistent with
the experimental observation of smaller values of K′ and, particularly, of the harmonic mean of K3 and K4 for the
former conjugate with respect to the latter.
Expression of FRα
by Ovarian Cancer Cell Models
To test the preference of the
FA–peptide conjugates for highly
FRα-expressing cell lines and evaluate the efficiency of the
corresponding mechanism of transport through the cell membrane and
the ability of the internalized conjugates to induce cell growth inhibition,
we have selected a panel of eight ovarian cancer cell models. Since
the efficiency of cellular internalization of drugs by FRα depends
on the expression of this surface protein, we first investigated its
levels in some OC cell lines. The OAW28, COV504, IGROV1, TOV112D,
2008, C13*, A2780, and A2780/CP cell lines, previously histologically
and morphologically well characterized, were selected for their histological
differences as well as for the sensitivity to cisplatin.[33,34] C13* and A2780/CP are cisplatin-resistant cells that feature high
hTS expression levels resulting from a resistance mechanism induced
by cisplatin treatment. On the other hand, 2008 and A2780 are cisplatin-sensitive
cells and feature intermediate hTS protein levels.[35,36] We performed this analysis using both quantitative and semiquantitative
methods, including flow cytometry, Western blot (WB), quantitative
real-time polymerase chain reaction (PCR) and radioligand binding
assays.[37−39] Flow cytometry results indicated that the OAW28 and
IGROV-1 cells expressed the largest amounts of the FRα receptor
(Figure A). Again,
high levels of FRα-mRNA (relative mRNA expression, y > 10 in Figure B)
characterized the IGROV1 and OAW28 cell lines, intermediate levels
the A2780 and A2780/CP cells (5 < y < 10),
and very low levels the other four cell lines, particularly the TOV112D
and COV504 cells (y < 5, Figure B). Consistently, in the WB analysis, bands
due to total FRα were detected only with the OAW28 and IGROV1
cells, the latter showing the highest FRα cellular amount (Figure C). To evaluate the
level of functional FRα, a crucial property for FR-targeted
therapies,[40] we performed radioligand binding
assays. The IGROV1 cells exhibited the highest amount of functional
FRα on their surface, more than 90 fmol of [3H]FA
bound per mg of protein versus about 40 fmol/mg for OAW28 cells and
values lower than 30 fmol/mg for the other cell lines (Figure SI-4 and Table SI-1).
Figure 5
Expression of FRα
in a panel of eight cancer cell lines.
(A) Flow cytometric assessment of FRα expression on cell surface;
black: cells labeled with secondary antibody alone without anti-FRα
Mov18 antibody; green: cells labeled with anti-FRα Mov18 antibody;
FI: ratio of the mean fluorescence intensities in the presence and
absence of the primary antibody. (B) Quantitative PCR (qPCR) measurements
of FRα transcript in the eight cell lines; y axis: levels of FRα mRNA relative to GAPDH mRNA. (C) Western
blot reporting FRα protein (FOLR1) at 38 kDa in the cell line
extracts reported in the horizontal bar. Representative blots of three
independent experiments are shown. Human β-actin was used as
internal control for protein loading. Each data point represents the
mean ± standard error of the mean (S.E.M.) of three separate
determinations.
Expression of FRα
in a panel of eight cancer cell lines.
(A) Flow cytometric assessment of FRα expression on cell surface;
black: cells labeled with secondary antibody alone without anti-FRα
Mov18 antibody; green: cells labeled with anti-FRα Mov18 antibody;
FI: ratio of the mean fluorescence intensities in the presence and
absence of the primary antibody. (B) Quantitative PCR (qPCR) measurements
of FRα transcript in the eight cell lines; y axis: levels of FRα mRNA relative to GAPDH mRNA. (C) Western
blot reporting FRα protein (FOLR1) at 38 kDa in the cell line
extracts reported in the horizontal bar. Representative blots of three
independent experiments are shown. Human β-actin was used as
internal control for protein loading. Each data point represents the
mean ± standard error of the mean (S.E.M.) of three separate
determinations.
FA–LR Binding to
FRα and Cellular Uptake
We then investigated the affinities
for FRα of FA and the FA–LR
bioconjugate by measuring their abilities to compete with [3H]FA for binding FRα on the cell surfaces. Binding of [3H]FA to the FRα of all cell lines was greatly and similarly
inhibited by unlabeled FA and the FA–LR conjugate (Figure A, left). The inhibition
was more pronounced with highly FRα-expressing cells, i.e.,
IGROV1 and OAW28 (−80 and −70%, respectively, of bound
[3H]FA at 5 μM FA–LR). As an expected consequence
of the competitive binding to FRα, [3H]FA uptake
was reduced in the eight cell lines by both unlabeled FA[39] and the FA–LR conjugate (Figure A, right). We found that while
in most cell lines competition with FA–LR caused a decrease
of [3H]FA uptake by 50% or less, this decrease reached
about 80% (from 583.3 ± 42 to 92.2 ± 11 fmol/mg of protein)
and 75% (from 271.5 ± 27 to 56.6 ± 8 fmol/mg of protein)
with IGROV1 and OAW28 cells, respectively, i.e., with highly FRα-expressing
cells.
Figure 6
(A) Femtomoles per mg of protein of [3H]FA bound to
the cell surface (left, [3H]FASB) and uptaken (right, [3H]FAUP) by human ovarian cancer cell lines. Column color code:
black, [FA] = [FA–LR] = 0; pale gray, [FA–LR] = 0, [FA]
= 5 μM; dark gray, [FA–LR] = 5 μM. (B) Dependence
of [3H]FAup on the concentrations of FA (black circles)
and of FA–LR (white circles) in IGROV-1 (left) and OWA28 cells
(right). Each data point represents the mean ± S.E.M. of three
separate determinations. SB = surface binding; up = uptake.
(A) Femtomoles per mg of protein of [3H]FA bound to
the cell surface (left, [3H]FASB) and uptaken (right, [3H]FAUP) by human ovarian cancer cell lines. Column color code:
black, [FA] = [FA–LR] = 0; pale gray, [FA–LR] = 0, [FA]
= 5 μM; dark gray, [FA–LR] = 5 μM. (B) Dependence
of [3H]FAup on the concentrations of FA (black circles)
and of FA–LR (white circles) in IGROV-1 (left) and OWA28 cells
(right). Each data point represents the mean ± S.E.M. of three
separate determinations. SB = surface binding; up = uptake.Then, we used these two cell lines to investigate
quantitatively
the ability of FA–LR to directly compete with folic acid for
binding to cell surface FRα. The corresponding dose–response
plots in Figure B
indicate that [3H]FA uptake by both cell lines is efficiently
inhibited by FA–LR and unlabeled FA already at about 500 nM,
and decreases more slowly, or remains almost constant, at concentrations
up to 2 μM. This rapidly saturating trend is likely connected
with engagement of all cellular FRα by either of the two [3H]FA competitors already at 500 nM. It adds to the observation
of higher competitive effects on [3H]FA uptake on cancer
cells (IGROV1 and OAW28) that express larger amounts of FRα
in supporting the crucial role of these receptors in the cellular
internalization of the FA–LR conjugate.Given the structural
similarity between FA–LR and FA–[DGln4]LR,
we have limited these competitive-uptake experiments
to the former. Indeed, the computational investigation of the interaction
with FRα reported in the following paragraph strongly suggests
that the binding mode to FRα is the same for the peptidic moieties
of the two conjugates.
Binding Modes of FA–LR and FA–[DGln4]LR to FRα
To test the ability of the FA–LR
and FA–[DGln4]LR conjugates to bind FRα, we
have carried out a comparative investigation of these interactions
by docking simulations using the GOLD software (Figure ). The crystallographic structure of FAα
complexed with FA[41] (PDB code 4LRH) was used as a template
after ligand removal. In the X-ray structure, FA is strongly bound
to the receptor by means of several interactions. The pteridine moiety
forms H-bonds with Asp81, Arg103, Arg106, His135, and Ser174, and
π–π interactions with Tyr85 and Trp171. The phenyl
ring also forms a π–π interaction with Trp102,
while the amidic nitrogen contacts His135. Finally, the two carboxylic
groups interact with Gln100, Trp102, Gly137, Trp138, and Trp140.[42] When docked in the FAα folate binding
site, the FA–LR conjugate assumes a plausible orientation,
resembling that of FA (Figure A). The hydrogen bonds with Asp81, Arg103, and His135 are
conserved (Figure C). The amidic nitrogen contacts the backbone carbonyl of His135,
while the carboxylic moiety interacts with the backbone amino groups
of Lys136 and Trp138. π–π interactions are made
by the pteridine group with the aromatic systems of Tyr85 and Trp171,
and by the benzoate group with Trp102. Additional contacts are formed
by the peptidic tail with other residues facing the binding pocket
entrance or localized on the receptor surface. In particular, H-bonds
are formed with the backbone of Lys19 and Trp138. Overall, the FA–LR
conformation reported in Figure A was scored 93, while the redocked FA obtained a GoldScore
equal to 73.
Figure 7
Docking pose of the FA–LR ((A) cyan capped sticks)
and FA–[DGln4]LR ((B) green capped sticks) conjugates
in FRα. The
co-crystallized FA is displayed for comparison in magenta sticks (PDB
code 4LRH).
The protein is represented in cartoons. (C, D) Insight of the FA–LR/FRα
and FA–[DGln4]LR/FRα complexes. Residues lining
the pocket and interacting with the conjugates are shown in capped
sticks. Crucial residues are labeled. Images were prepared with Pymol
version 1.7.0.0.
Docking pose of the FA–LR ((A) cyan capped sticks)
and FA–[DGln4]LR ((B) green capped sticks) conjugates
in FRα. The
co-crystallized FA is displayed for comparison in magenta sticks (PDB
code 4LRH).
The protein is represented in cartoons. (C, D) Insight of the FA–LR/FRα
and FA–[DGln4]LR/FRα complexes. Residues lining
the pocket and interacting with the conjugates are shown in capped
sticks. Crucial residues are labeled. Images were prepared with Pymol
version 1.7.0.0.These findings support
the capability of the FA–LR conjugate
to bind to the cell surface FAα receptor and compete with FA,
as shown in the previous paragraph. Similar interactions were found
when looking at the docking pose of the FA–[DGln4]LR conjugate in the same FRα binding site (Figure B,D). In particular, the pteridine
ring takes the same orientation and maintains a similar number of
H-bonds and π–π interactions, while the peptidic
tail takes a different orientation stabilized by H-bonds with Gln100,
Trp102, and Asn133 side chains. This conformation obtained a GoldScore
of 126. It should be mentioned that in the different poses obtained
by the docking simulations, the position of the tail was not conserved,
and that different conformations stabilized by diverse contact were
generated. This is quite reasonable, given the length of the chain
and the rather globular surface of the protein. From the computational
perspective, we find no significant differences between the binding
modes of the FA fragments of the two bioconjugates; thus, formation
of the two protein–conjugate complexes seems to be equally
favorable.
Compartmentalization of FA–LR in Cancer
Cells
The amounts of FA–LR in the extracellular medium
and in the
vesicles (endosomes) and the cytosol of IGROV-1 cells were measured
by liquid chromatography with tandem mass spectrometry (LC-MS/MS)
(Agilent 6410) following a 30 min cell incubation with 5 μM
conjugate (Table ).
The experiments were performed both at 37 °C, with the FRα’s
fully active, and at 4 °C, with the FRα-mediated endocytic
process drastically reduced. The FA–LR content measured in
the cytosol and vesicles was converted into cytosolic and intravesicular
molar concentrations using a mean cellular volume of 2 × 10–12 L,[43] mean cytosolic and
vesicular volumes, respectively, 60 and 2.5% of the cellular volume
and a total number of 2 × 106 lysed cells. Further
details of the development and of an analytical validation of this
method are provided in the Experimental Procedures section and in the Supporting Information (Tables SI-2–SI-7 and Figure SI-5).
Table 1
Mass (ng = Nanograms) and Molar Concentration
of the FA–LR Conjugate in the Extracellular Medium, in the
Cytosol, and in Vesicles Following a 30 min Incubation of IGROV-1
Cells with 5 μM FA–LR (Mean Value ± Standard Deviation, n = 6)
T = 37 °C
T = 4 °C
fraction
FA–LR mass (ng)
[FA–LR] (μM)
FA–LR mass (ng)
[FA–LR]
(μM)
extracellular
10 200 ± 1200
2.38 ± 0.28
19 300 ± 2200
4.48 ± 0.50
cytosolic
60.2 ± 8.6
18.5 ± 2.6
31.6 ± 5.7
9.7 ± 1.8
vesicles
34.4 ± 4.3
254
18.6 ± 2.9
137
The cytosolic concentration found with the 37 °C incubation
(18.5 ± 2.6 μM) was confirmed by a second experiment based
on fluorescence, a completely independent observable. The pteroate
moiety of FA exhibits a characteristic fluorescence emission[44] that can be enhanced by UV-light-induced oxidative
photocleavage of the bond between the fluorophore and the p-aminobenzoate unit (the latter acts as a quencher).[45] Emission and excitation measurements on IGROV-1
cell lysates provided pteroate signals that increased upon repeated
exposures to the excitation lamp up to final, stable values (Figure SI-6). The experiments yielded average
emission intensities at 445 nm of 834 ± 32 kcounts from the cells
treated with a 5 μM FA–LR conjugate solution and 747
± 36 kcounts from the untreated cells; the average excitation
signals at 360 nm were 1120 ± 25 and 994 ± 80 kcounts for
the treated and untreated samples, respectively. The differences between
positive and control signals, proportional to the uptaken FA–LR
concentrations, were therefore 87 ± 48 and 126 ± 84 kcounts,
respectively. Using a previously determined calibration factor, the
number of cells (around 6 × 106), an average cell
volume of 2 × 10–12 L,[43] and a typical cytosolic volume of 60% the cellular volume, we estimate
the corresponding cytosolic concentrations to be 20.2 ± 11 and
24.3 ± 16.1 μM from FA–LR emission and excitation
signals, respectively. Thus, under these conditions, the fluorometric
analysis confirms the LC-MS result of a 4-fold increase of FA–LR
concentration within IGROV-1 cells relative to the external incubation
medium.Given the relevance of the concentration data, we checked
whether
the 30 min incubation time could represent a drawback in our analytical
approach. In the extracellular matrix, the conjugates were stable
in the first 30 min, at 4 °C and 37 °C (data not shown).
The evolution with time of the cytoplasmic concentration of the FA–LRpeptide in C13* cells treated at 37 °C with a medium containing
5 μM FA–LR was analyzed using LC-MS Orbitrap Q-Exactive.
We determined the concentration of FA–LR after 20 min from
the administration of the compound to the cancer cells, and then after
40, 60 min, and then 2 and 4 h (Figures SI-7 and SI-8). The concentration decreased with a first-order kinetics,
the rate constant and half-life being respectively 3.5 (±0.5)
× 10–3 min–1 and 200 (±30)
min (Figure SI-8). Therefore, because the
cytosolic FA–LR conjugate is degraded in a time scale 1 order
of magnitude longer than the timing of our analytical experiments,
we can assume our results to characterize a steady-state, if not an
equilibrium, situation.The FA–LR concentration ratio
found between the vesicular
and the cytosolic fractions (13.7 at 37 °C, Table ) is similar to the ratio of
concentrations (10.8) of tritiated FA reported in the same two cellular
fractions of R1-11-FR2 and R5-FR12 HeLa cells separated with the same
procedure used by us.[39] This similarity
lends support to the reliability of the analytical tools used in this
work and confirms the crucial role played by the folate moiety of
the FA–LR conjugate in its ability to cross the cell membrane.Among the possible internalization pathways of the FA–peptide
conjugates that exploit the FA moiety, the process mediated by the
reduced folate carrier (RFC) is likely negligible in our experiments.
In fact, under physiological conditions, FA features a Km > 100 μM toward RFC,[46] and at [FA–LR] = 5 μM, the fraction of RFC bound to
the conjugate is very low. As for PCFT, this proton symporter contributes
to the cellular uptake of folates and antifolates at acidic pH, usually
fixed at 5.5 in published reports.[5,47] Therefore,
its contribution is likely negligible at pH values 7.2 and 7.4, at
which our uptake experiments were carried out. To further support
this statement, we performed a few experiments on 2008, C13, A2780
and A2780/CP cells at pH 8 and found no significant change in the
[3H]FA uptake results.[48,49]As for
the FRα-mediated endocytosis, the amounts and concentrations
measured at 4 °C, i.e., conditions under which it is believed
to be little efficient, were approximately half those determined at
37 °C, when it is fully active (Table ). This, together with the 14-fold larger
concentration of FA–LR in vesicles than in the cytosol, points
to a relevant role for the endocytosis-mediated internalization process.
Such a relevance is further supported by the cytotoxicity results
in the following paragraph.On the basis of the available figures,
we expect that selectivity
for the FRα-mediated cellular internalization path be enhanced
at lower conjugate concentrations, e.g., at hundreds of nanomolar
concentrations (100–500 nM) that are likely sufficient to saturate
these cell surface receptors (Figure B).
In Vitro Activity of the FA–LR and
FA–[DGLN4]LR Conjugates
We have previously
reported the cytotoxic
activities of the LR and [DGln4]LR peptides transfected
into cells by means of either the specific peptide delivery system,
SAINT-PhD,[8] or liposomes.[12,13] We now compare them with the cytotoxic effects of the FA–peptide
conjugates administered as such at concentrations ranging from 100
nM to a few micromolar (Figure ). The compounds were tested against the six cancer cell lines
in Figure (IGROV1,
OWA28, 2008, C13*, A2780, and A2780/CP). Among them, the IGROV1 and
OWA28 lines, i.e., those that express the highest levels of FRα,
showed a growth inhibition effect after treatment with the FA–peptide
conjugates. Of the lines that express low levels of FRα, the
2008, C13*, A2780, and A2780/CP cells did not respond to direct treatment
with the conjugate and showed a response only after treatment with
the conjugates delivered with the SAINT-PhD delivery system (Figure SI-9). Only the TOV112D cells showed a
cytotoxic response and were chosen as a little FRα-expressing
reference cell line.
Figure 8
Growth inhibition of IGROV-1 and TOV112D cells by FA–LR,
FA–[DGln4]LR, and 5-FU. And 24 h after seeding in
complete medium, this was replaced with folate-free (FF) medium and
the cells were treated with increasing concentrations of the bioconjugates
and 5-FU three times every 12 h. Then, the cells were allowed to grow
up to 72 h. All of the results plotted represent the mean of three
separate experiments performed in duplicate. Error bars, S.E.M.
Growth inhibition of IGROV-1 and TOV112D cells by FA–LR,
FA–[DGln4]LR, and 5-FU. And 24 h after seeding in
complete medium, this was replaced with folate-free (FF) medium and
the cells were treated with increasing concentrations of the bioconjugates
and 5-FU three times every 12 h. Then, the cells were allowed to grow
up to 72 h. All of the results plotted represent the mean of three
separate experiments performed in duplicate. Error bars, S.E.M.Already in the 100–500 nM concentration
range, both conjugates
caused an IGROV1 cell growth inhibition of about 20–35%, though
in a weakly dose-dependent manner (Figure , left). The FA–[DGln4]LR
derivative displayed a slightly higher efficacy than FA–LR,
somewhat reminiscent of the larger cytotoxicity of [DGln4]LR with respect to LR when administered with the SAINT-PhD peptide
delivery system.[8,9] At 100 nM for both conjugates,
and up to 500 nM for FA–[DGln4]LR, the cell growth
inhibition was even larger than that of the reference drug, 5-FU (Figure ). The FA–[DGln4]LR conjugate showed a slightly yet consistently higher activity
toward IGROV-1 than toward TOV112D cells (Figure , right), a finding likely related with the
higher expression of FRα in the former cells (see Figure and the corresponding paragraph).The capability of both conjugates to bind FRα with comparable
affinities (Figure ) is confirmed by the results of the binding assays performed toward
FRα with FA–LR at a fixed concentration, 5 μM (Figure A). We determined
displacements of [3H]FA from IGROV-1 cell surfaces of 80%
and 40% by FA–LR and FA–[DGln4]LR, respectively.
From standard coupled equilibrium analysis, we can see that these
figures correspond to a ratio of the FRα/FA–peptide binding
equilibrium constants near 5, which correspond to a difference between
the ΔG°s only around 4 kJ/mol, consistent
with the close resemblance of the FRα-binding modes of the two
conjugates suggested by the docking simulations.
Figure 9
(A) Femtomoles of [3H]FA bound to the IGROV1 cell surface
per mg of protein ([3H]FASB) with the tritiated ligand
administered alone (brown) and in the presence of cold FA (orange),
FA–LR (light green), or the FA–[DGln4]LR
conjugate (dark green) (see the Experimental Procedures section for details). (B) Immunoblot quantitative analysis of hTS,
DHFR, HSP90AA1, and TRAP1 in IGROV-1 cells with FA–LR, FA–[DGln4]LR, and pemetrexed (PMX) after 48 h from treatment. The representative
blots of three independent experiments are shown. Human β-actin
was used as internal control for protein loading. The quantitative
results, obtained by densitometric scanning of the protein blots,
are plotted in Figure SI-11. (C) Inhibition
of intracellular TS activity by the FA–peptide conjugates and
5-FU in IGROV-1 cells. All of the data plotted represent the mean
of three separate experiments performed in duplicate. Error bars,
S.E.M.
(A) Femtomoles of [3H]FA bound to the IGROV1 cell surface
per mg of protein ([3H]FASB) with the tritiated ligand
administered alone (brown) and in the presence of cold FA (orange),
FA–LR (light green), or the FA–[DGln4]LR
conjugate (dark green) (see the Experimental Procedures section for details). (B) Immunoblot quantitative analysis of hTS,
DHFR, HSP90AA1, and TRAP1 in IGROV-1 cells with FA–LR, FA–[DGln4]LR, and pemetrexed (PMX) after 48 h from treatment. The representative
blots of three independent experiments are shown. Human β-actin
was used as internal control for protein loading. The quantitative
results, obtained by densitometric scanning of the protein blots,
are plotted in Figure SI-11. (C) Inhibition
of intracellular TS activity by the FA–peptide conjugates and
5-FU in IGROV-1 cells. All of the data plotted represent the mean
of three separate experiments performed in duplicate. Error bars,
S.E.M.We finally turn to the effects
of the two FA–peptide conjugates
on the expression of hTS and the other proteins of a panel previously
identified to specifically characterize the intracellular activity
of the LR-type peptides[50] (Figures B, SI-10, and SI-11). IGROV-1 cell growth inhibition (Figure ) correlates with inhibition
of intracellular TS expression and activity (Figure B,C).To mark the mechanistic differences,
the effects of the two FA–peptide
conjugates that are expected to bind at the protein dimeric interface
were compared, always at a 5 μM concentration, with those of
pemetrexed (PMX) and 5-FU, classical anticancer compounds directed
to the TS active site. The hTS protein levels were reduced by about
20% by FA–[DGln4]LR, but they were 2.5-fold upregulated
by PMX (Figure B)
and slightly increased by 5-FU (Figures SI-10 and SI-11). Moreover, we observed a clear decrease of the levels
of the DHFR protein with respect to control after FA–LR and
FA–[DGln4]LR treatment, as also previously observed
in cells transfected with LR and [DGln4]LR.[8,9] The other two proteins were only minimally affected. In particular,
the level of the heat shock protein HSP 90-α (HSP90AA1) was
reduced by only 10% by FA–[DGln4]LR, whereas the
levels of the heat shock protein 75 kDa and the mitochondrial (TRAP1)
levels were downregulated by approximately 20% by the two conjugates.
The results indicate that the two FA–peptide conjugates modulate
the hTS, DHFR, HSP90AA1, and TRAP1 protein panel, previously identified
as an activity marker for the present class of compounds, in a similar
way to the LR and [DGln4]LR peptides, thus supporting the
conclusion that the conjugates maintain the same intracellular mechanism
of action, TS-protein targeting included.The TS activity, measured
by the tritium release assay, decreased
by approximately 30 and 40% at, respectively, 1.25 and 2.5 μM,
for both FA–peptide conjugates (Figure C); these inhibition extents are comparable
with those caused by 5-FU at the same doses. Possibly because of the
contribution from an additional internalization mechanism (e.g., via
the RFC), at 5 μM the effect of the conjugates was quite strongly
enhanced, leaving only about a 30–35% of residual TS activity
versus the 50% left by 5 μM 5-FU (Figure C).
Growth Inhibition Combination Studies of
LR with Anticancer
Drugs
FA–LR can enter cancer cells that overexpress
FRα at a low concentration, in the 100–500 nM range,
and causes a 35% inhibition of cancer cell growth. We have investigated
the effect on growth inhibition of combinations of FA–LR with
known anticancer drugs that, alone, cause hTS overexpression by evaluating
the synergism quotients (SQ). Three anticancer drugs were selected
for the combination experiments, namely, cisplatin (cDDP), raltitrexed
(RTX), and 5-fluorouracil (5-FU). It has been reported that in ovarian
and other cancer types resistance to Pt-drugs is associated with high
levels of hTS and cross-resistance to the hTS inhibitors 5-FU and
RTX. The latter was demonstrated in preclinical cancer cell studies,[51−54] and it was possible to correlate the in vitro results with the clinical
data.[55,56]We have recently shown that the proper
drug combination sequence of cDDP:LR, RTX:LR, and 5-FU:LR, where LR
was wrapped into a specific peptide delivery system or encapsulated
into PEGylated pH-sensitive liposomes, was able to counteract resistance
to cDDP and anti-hTS drugs. In particular, we observed that the simultaneous
treatment or 24 h pretreatment of cells with the peptide followed
by either agent produced synergistic effects even in resistant cells.[57]In the present study, FA–LR is
combined with concentrations
of RTX in the low nanomolar range (10–20 nM), with 5-FU in
the 5–15 μM range and cDDP in the 1–5 μM
range. FA–LR, internalized at 250 nM by exploiting FRα-induced
endocytosis, demonstrated some synergistic combination effects. The
best results were obtained with IGROV-1 cells that overexpress FRα.
As shown in Figure A,B and Table SI-8, with A2780 cells the
combination of FA–LR and cDDP at the three concentrations tested
produced effects from antagonism to additivity, with SQ values from
0.75 to 0.96, as the concentration of cDDP was increased. The opposite
was observed with IGROV-1 cells, from a slight synergism (SQ = 1.16)
to additivity (SQ = 1.02) and then antagonism (SQ = 0.85) as the concentration
of cDDP increased. In any case, the results confirmed that this combination
resulted in enhanced cell growth inhibition, from 37.9 to 87.9% with
the A2780 cells (Table SI-8) and from 40.3
to 63.20% with the IGROV-1 cells. A similar trend, but with smaller
variations, was observed for the three combinations of FA–LR
with 5-FU and RTX, also evidenced by the deep red colors of the heat
map in Figure B
in which the SQ values of all of the tested combinations are shown
with the appropriate statistical analysis (see the Experimental Procedures section). The relative percentages
for each combination are reported in Table SI-8. Overall, the combination studies provided at least four and three
additive cell killings with A2780 and IGROV-1 cells, respectively.
Noteworthy, the best results, with two synergistic SQ values, were
obtained with the FRα-overexpressing IGROV-1 cells, thus indicating
the potential of these combinations for targeting cancer cells with
higher FRα levels.
Figure 10
(A) Synergism quotients (SQ, ratios of the
inhibition of a drug
combination to the sum of the inhibitions of the two drugs alone)
obtained in combination experiments of FA–LR with cDDP, 5-FU,
and RTX on A2780 and IGROV-1 cells. SQ > 1.1, synergism; 1.1 >
SQ
> 0.9, additivity; SQ < 0.9, antagonism. The bars represent
the
mean of duplicate cell counts on three or more separate experiments.
Error bars, SD. (B) Heat map representation of the SQ values of the
tested combinations (rows) of FA–LR bioconjugate with cDDP,
5-FU, and RTX against the A2780 and IGROV-1 cell lines (columns).
The reported dendrogram was obtained based on the dissimilarity matrix
using Euclidean distances and the complete linkage method.
(A) Synergism quotients (SQ, ratios of the
inhibition of a drug
combination to the sum of the inhibitions of the two drugs alone)
obtained in combination experiments of FA–LR with cDDP, 5-FU,
and RTX on A2780 and IGROV-1 cells. SQ > 1.1, synergism; 1.1 >
SQ
> 0.9, additivity; SQ < 0.9, antagonism. The bars represent
the
mean of duplicate cell counts on three or more separate experiments.
Error bars, SD. (B) Heat map representation of the SQ values of the
tested combinations (rows) of FA–LR bioconjugate with cDDP,
5-FU, and RTX against the A2780 and IGROV-1 cell lines (columns).
The reported dendrogram was obtained based on the dissimilarity matrix
using Euclidean distances and the complete linkage method.
Conclusions
The FRα protein, which is highly
expressed in ovarian cancer
cells, provides the opportunity for a targeted drug delivery and therefore
for a major therapeutic advancement. In the present work, we have
combined hTS unconventional inhibition with targeted delivery by designing
an FA–peptide investigational lead candidate. We have synthesized
two such conjugates, FA–LR and FA–[DGln4]LR,
have explored their affinity for FRα in cancer cells with different
levels of this protein, have investigated their inhibition mechanism
versus recombinant hTS, have evaluated their concentrations in cancer
cells and their effects on cell growth as single agents and in combination
with other anticancer drugs. Finally, we have traced their intracellular
TS engagement by measuring their ability to inhibit the protein activity
in cells and by analyzing their modulation of the levels of the proteins
of a set that represents a specific cellular marker of these hTS dimer
interface binding peptides.Both conjugates inhibited recombinant
hTS with a mixed/almost noncompetitive
mechanism that can be interpreted in terms of a dual binding mode,
in keeping with their difunctional nature. However, binding of the
FA peptides at the monomer–monomer interface of hTS was found
to be characterized by affinities at least 1 order of magnitude larger
than those for binding at the catalytic site. Our competition experiments
have shown that FA–LR binds FRα of cell membranes with
an affinity comparable with that of FA. The competing effect of FA–LR
on FA uptake is more pronounced with cells, like IGROV-1 and OAW28,
that express high levels of FRα, thus suggesting a selectivity
of the FA–peptide conjugates for cell lines with high levels
of this receptor. The two FA–peptide conjugates showed a cell
growth inhibitory activity comparable with that of 5-FU, an active-site-directed
TS inhibitor. The FA conjugates/TS engagement was relevant to the
observed cytotoxicity as suggested by both the inhibition of intracellular
hTS activity and by the observed modulation of a protein set that
is a specific intracellular marker of the activity of these peptides.
In particular, following treatment with the two FA–peptide
conjugates, the cellular levels of hTS were found almost unmodified
or slightly downregulated and DHFR was downregulated. This suggests
a cellular mechanism of action similar to that of the peptidic fragments,
i.e., a mechanism based on interaction with the protein monomer–monomer
interface.To quantify the FA–LRpeptide internalized
into cancer cells,
we have developed two independent approaches. We have employed the
fluorescence of the pteroate anion resulting from UV-light-assisted
hydrolysis of FA in basic environments. Because it relies on pteroate
fluorescence, this label-free fluorometric method might be extended
to a wide range of FA–drug conjugates and, more importantly,
it could be directly applied to studies of FA–drug conjugate
pharmacokinetics in clinical samples, if the conjugates are not metabolized.
The intracellular concentration estimates obtained in this way were
confirmed by a high-sensitivity LC-MS/MS analysis, that focused on
compartmentalization of the compound, and an LC-MS Orbitrap approach
that allowed us to evaluate the biostability in the cytosolic environment
over time. The latter was characterized by a half-life of 200 min
at 37 °C.FA conjugates can selectively enter cells that
overexpress FRα,
ruling out healthy cells, in the low hundreds of nanomolar range (100–250
nM). Therefore, at these concentrations, they have the potential to
be developed into a new tool for cancer chemotherapy with low toxicity.
Because of their peculiar allosteric mechanism of action, they are
expected to act as selective inhibitors that can be combined with
chemotherapeutic agents and, by avoiding the increase of hTS levels,
can hinder drug resistance development.FA–LR was engineered
as a conjugate with suitable chemical
stability. The intracellular degradation of FA–LR releases
the LRpeptide as the most relevant metabolite (data not shown), i.e.,
an hTS inhibitor. On the other hand, should a similar degradation
occur outside cells, in vivo, the inability of this peptide alone
to be internalized by cells without a suitable delivery system,[8,12,13] makes this event unlikely and
the ensuing toxicity effects probably negligible. Furthermore, as
we propose to use a combination of the FA-conjugate with an anticancer
drug and expect that the conjugate concentration in the combination
is as low as a few hundred nanomolars, the problem of the toxicity
of the individual agent is further minimized.This work has
finally demonstrated that the FA peptides, once combined
with cDDP, RTX, and 5-FU, can help overcoming resistance toward these
drugs, developed in OC cells, particularly in highly FRα-overexpressing
ones. This may help increasing the therapeutic potency and reduce
toxicity of such drugs. With respect to the previously proposed treatment
with peptides delivered with a nonliposomal peptide delivery system,
these conjugates represent a step forward in the direction of selectivity.Our future work will focus both on the improvement of the intracellular
trafficking of the new conjugates in cancer cells and on their evaluation
in experimental conditions in which their potential selectivity for
FRα (upregulated on tumor cells) over FRβ (upregulated
on activated monocytes and macrophages) might be exploited in cancer
tissues in the presence of inflammation.The association of
standard drugs with the peptidic FA-bioconjugate
hTS inhibitors may have the potential for future clinical applications
to overcome the drug resistance to cDDP and anti-hTS drugs in ovariantumorpatients.
Experimental Procedures
Synthesis
of the FA–LR and FA–[DGln4]LR Conjugates
The fragments [γGlu0]LR-resin
and [γGlu0, DGln4]LR-resin were synthesized
in accordance with a previously published methodology.[7] The product, [γGlu0]LR or [γGlu0, DGln4]LR, linked to the resin (100 mg, loading:
0,445 mmol/g) was suspended in DMF (3 mL) and reacted with N10-(trifluoroacetyl)pteroic acid (2.0 equiv,
36 mg), 1-[bis(dimethylamino)methylene]-1H-1,2,3-triazolo[4,5-b]pyridinium
3-oxide hexafluorophosphate (HATU) (2.0 equiv, 34 mg) and N,N-diisopropylethylamine (DIPEA) (3.0
equiv, 15 μL). The reaction was slowly stirred at room temperature
for 18 h after which the solvent was removed, and the resin was washed
with DMF (3 × 5 mL) and CH2Cl2 (3 ×
5 mL). The on-resin bioconjugates were suspended in DMF (3 mL) and
a solution of 20% NH2NH2 in DMF (1 mL) was added
to remove the trifluoroacetyl moiety. The reaction was slowly stirred
at room temperature for 30 min, then the solvent was removed, and
the resin was washed with DMF (3 × 5 mL) and CH2Cl2 (3 × 5 mL). Finally, the peptide bioconjugate was cleaved
from the resin with reagent B (trifluoroacetic acid/H2O/phenol/triisopropylsilane
88:5:5:2; v/v; 10 mL/0.2 g of resin) for 1.5 h at room temperature.
After filtration of the exhausted resin, the solvent was concentrated
in vacuo and the residue was triturated with Et2O. After
complete evaporation of the solvent, FA–LR and FA–[DGln4]LR were purified by preparative reversed-phase high-performance
liquid chromatography (HPLC) and fully characterized by analytical
HPLC and mass spectrometry (Supporting Information). Purity is >95%.
Molecular Modeling
FA–LR
and FA–[DGln4]LR were docked in hTS and FRα
with the GOLD software,
version 5.2.2 (www.ccdc.cam.ac.uk). The structure of FRα complexed with FA (PDB code 4LRH) was used as a template
for docking the conjugates in FRα. The structures of hTS complexed
with dUMP and raltitrexed and with the LRpeptide (PDB code 1HVY and 3N5E, respectively) were
used for docking the conjugates in the active and inactive forms of
the protein. For each compound, 25–50 diverse poses were generated
and analyzed. A radius of 15 Å was set when targeting the hTS
and FRα binding sites, while 30 Å were allowed when placing
a ligand at the hTS protein subunit interface. A maximum number of
100 000 operations were performed for each docking search,
on a population of 100 individuals with a selection pressure of 1.1.
Operator weights for crossover, mutation, and migration were set to
95, 95, and 10, respectively. The number of islands and the niche
were set to 5 and 2. Hydrogen bond constraints were imposed when targeting
the hTS and FRα binding sites. Flexibility of crucial residues
lining the binding sites and the monomer–monomer interface
was allowed. The default GoldScore fitness was used as native scoring
function.[58] Docking at the hTS interface
was run with and without distance constraints, to place cysteine 3
at a suitable disulfide bond distance from Cys125, monomer 1. Similar
peptide positions were obtained in the two cases.
Enzyme Inhibition
Assays
The peptides and their folic
conjugates were tested against the recombinant hTS protein spectrophotometrically
using a SpectraMax 190 microplate reader (Molecular Devices). The
enzymatic reaction was monitored spectrophotometrically by measuring
the absorbance (A) at 340 nm for 180 s. Each peptidic inhibitor was
assayed at the concentrations reported in Figure following a 1 h incubation with the target
enzyme at 37 °C with gentle orbital shaking (60 rpm). The initial
slope of each A340/time plot was employed
to compute the initial reaction rate (v). The v values were then analyzed as functions of the mTHF cofactor
concentration at each inhibitor concentration as discussed in the Mechanism of Inhibition of Recombinant hTS section.
Each inhibition assay was performed in triplicate for calculating
an error value with a 95% confidence interval (p ≤
0.05). Additional experimental details are provided in the Supporting Information.
Cell Lines, Cell Growth
Inhibition, and Intracellular TS Activity
The human OC cell
lines OAW28, COV504, IGROV1, TOV112D, 2008, C13*,
A2780, and A2780/CP include serous, endometrioid, clear cell, and
mixed-type cell lines, as well as for the sensitivity to cisplatin.[33,34] They were grown as monolayers in Roswell Park Memorial Institute
(RPMI) 1640 medium containing 10% heat-inactivated fetal bovine serum
(FBS) and 50 μg/mL gentamycin sulfate. All cell media and serum
were purchased from Lonza (Verviers, Belgium). Cultures were equilibrated
with humidified 5% CO2 in air at 37 °C. Before each
experiment, the cells were pretreated with folate-free (FF) RPMI 1640
medium (pH 7.2) for 24 h to allow the externalization of FR on cell
surface.Cell growth was determined using a modified crystal
violet dye assay.[59] And 24 h after seeding
in complete medium, this was replaced with FF medium and the cells
were treated with increasing concentrations of the bioconjugates and
5-FU three times every 12 h. Then, the cells were allowed to grow
up to 72 h. TS activity was measured in extracts from cells treated
in the same conditions as used in the cytotoxicity experiments. TS
catalytic assay[35] is based on the measurements
of the amounts of 3H release from 5-[3H]dUMP
during its TS catalyzed conversion to dTMP. Briefly, the reaction
was started by adding 5-[3H]dUMP (1 μM final concentration,
specific activity 5 mCi/mol) to enzyme suspensions in assay buffer
and 650 μM 5,10-methylenetetrahydrofolate in a final volume
of 50 μL. After incubation for 60 min at 37 °C and blocking
by adding 50 μL of ice-cold 35% trichloroacetic acid, residual
5-[3H]dUMP was removed by the addition of 250 μL
of 10% neutral activated charcoal. The charcoal was removed by centrifugation
at 14 000g for 15 min at 4 °C, and a
150 μL sample of the supernatant was assayed for tritium radioactivity
in a liquid scintillator analyzer Tri-Carb 2100 (Packard).
Real-Time
PCR of FRα mRNA
Cells were harvested
by scraping and total RNA was isolated using the InnuSOLV RNA reagent
(Analytik Jena, Germany). Reverse transcription was performed essentially
as previously reported.[60] We performed
dissociation curve analysis and agarose gel electrophoresis to confirm
the amplification. The amount of RNA expressed was normalized with
GAPDH and detected by 2–ΔCt method. FOLR1
(target) primers [NCBI, CoreNucleotide: NM_016725.2]: forward: 5′ GTGAGCAATGGTGGGAAGAT 3′, reverse: 5′
GTGGGTGTGGGGAAGTAGAA 3′; GAPDH (reference) primers [NCBI, CoreNucleotide: NM_002046.3]: forward: 5′ CAAGGTCATCCATGACAA CTTTG 3′,reverse:
5′ GGGCCATCCACAGTCTTCTG.
Western Blot Analysis
For the assessment of enzyme
levels, 40 μg of cellular proteins were resolved by sodium dodecyl
sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Western blot
analysis of TS and DHFR was conducted as previously described,[61] using a 1:250 dilution of the anti-humanTSmouse TS106 monoclonal primary antibody (Abnova, Italy), and 1:250
dilutions of the anti-humanDHFRmouse A-4 monoclonal antibody (Santa
Cruz Biotechnology, Inc.). Cells were plated in complete medium containing
10% heat-inactivated FBS and after 24 h, in FF medium (pH 7.2), except
for the control sample (CTRL). After an additional 24 h, the cells
were treated with the FA–peptide conjugates or PMX. For the
assessment of FRα levels, nonreducing and nondenaturating conditions
(no SDS) were used. Gels were blotted onto poly(vinylidene difluoride)
(PVDF) membranes (Hybond-P, Amersham). Antibody staining was performed
with a chemiluminescence detection system (ECL Plus, Amersham), using
a 1:500 dilution of the anti-humanmouse Mov18 monoclonal primary
antibody (Enzo Life Sciences) and 1:2000 dilution of anti-human β-actin
mouse AC-15 antibody (Santa Cruz Biotechnology, Inc.) in TBS-T with
5% dry milk for normalization, in conjunction with a 1:1500 dilution
of a horseradish peroxidase-conjugated sheep anti-mouse secondary
antibody (Amersham).
Flow Cytometric Analysis of FRα Cell
Surface Expression
The Mov18 primary antibody (10 μg/mL,
Enzo Life Sciences)
was added to tumor cells (3 × 105) in 100 μL
of phosphate-buffered saline (PBS) + 1% bovine serum albumin, and
the mixture was incubated for 1 h at room temperature. The antibody
binding was detected by an fluorescein isothiocyanate (FITC)-conjugated
secondary antibody (1:200, Dako) for 30 min at 4 °C in the dark.
For each sample, at least 10 000 cells were acquired with an
Epics-XL flow cytometer (Beckman Coulter) and data were subsequently
analyzed using the WinMDi software.
Radioligand Assays
To assess FRα at the cell
surface, cells were incubated for 10 min with 5 nM [3H]FA
(specific activity 0.5 Ci/mmol) in ice-cold PBS (pH 7.4) in the presence
or absence of 5 μM unlabeled FA or FA–LR (1000-fold in
excess of [3H]FA), and incubated for 10 min at 4 °C.[35] Uptake studies were conducted with 30 nM [3H]FA at 37 °C in the presence and absence of 10 μM
unlabeled FA or FA–LR conjugate.[62,63]
Fluorometric
FA–LR Assay
Uptake of FA–LR
was spectrofluorometrically measured following incubation of ca. 6
× 106 IGROV1 cells with PBS (pH 7.4) in the presence
and absence of 5 μM FA–LR at 37 °C for 20 min, three
homogeneous samples each. Cell extracts had a final volume of 700
μL. NaOH (2 μL, 1 M) was added to each solution to a pH
of around 11, to convert all pterins to pteroate fluorophores. Emission
(λexc = 360 nm) and excitation (λem = 470 nm) spectra were measured on a Horiba FluoroMax2 spectrofluorometer
in 4 × 10 mm2 quartz cuvettes at room temperature
(25–28 °C). Because irradiation caused an increase in
the pteroate fluorescence intensity, likely associated with photocleavage
of the pteroyl/p-aminobenzoate bond,[44] emission/excitation spectral measurements were repeated
until the spectra did not change in two subsequent measurement cycles.
Pteroate emission was read at 445 nm and excited at 360 nm. To obtain
the calibration factors needed to convert these signals into pteroate
concentrations, the same measurements were carried out on the three
control samples following additions of known, increasing amounts of
the 5 μM FA–LR supernatant.
LC-MS Analysis to Study
FA–LR Intracellular Compartmentalization
IGROV-1 humanovarian cancer cells were cultured in RPMI medium
supplemented with 10% fetal bovine serum (FBS) plus 20 mM l-Gln at 37 °C with 5% CO2. RPMI medium was aspirate
and replaced by FF-RPMI medium (folate-free RPMI medium) to induce
overexpression on the folate receptor on cell surface. After 24 h,
FF-RPMI medium was aspirated and replaced by a solution of FA–LR
in 5 μM PBS. After 30 min from the FA–LR delivery, samples
were collected to detect the concentration of FA–LR in the
extracellular medium. The compound was detected to be stable in PBS
in the first 30 min. Cells were exposed to the conjugate solution
for 30 min at both 37 and 4 °C. About 2 million cells were washed
three times with acid PBS (pH 5.0), scraped, and counted. Hypotonic
lysis buffer (30 μL) was added to each cell pellet and incubated
at room temperature for 1 h. Three freeze–thaw cycles were
performed to lysis cell membranes. Afterward, to collect separately
vesicles and cytosol, the samples were centrifuged at 14 000
rpm for 30 min at 4 °C and their supernatants were pipetted into
1.5 mL Eppendorf tubes. Acetonitrile (ACN) was added to the supernatant
aspirated from the pellets to obtain 1:1 v/v with the hypotonic buffer
solution, while a mixture of ACN/H2O (50:50, v/v) was added
to the pellets. Both supernatants and pellets were centrifuged at
14 000 rpm for 30 min at 4 °C.[39] Finally, IS at a final concentration of 1 μg/mL was added
both to the pellets and supernatants, and they were centrifuged at
14 000 rpm for 25 min. The amount of peptide in both pellets
and supernatants was determined by LC-MS/MS analysis using an Agilent
HP 1200 HPLC coupled to an Agilent 6410 triple quadrupole mass spectrometer,
working in selected reaction monitoring (SRM) mode.[64] The presence of FA–LR was studied through bi-charged
(717.2 m/z) and tri-charged (478.5 m/z) parent ions, with both a qualifier
and a quantifier daughter ion peak for each MS/MS transition. IS peak
pattern was acquired in the same way. Before sample analysis, a qualitative–quantitative
method validation was performed.
C13*
human ovarian cancer cell lines (highly cisplatin-resistant) were
prepared as reported for IGROV1 (LC-MS compartmentalization experiment).[65] Cells were incubated for five different time
lapses in Petri plates: 20, 40, 60, 120, and 240 min. After each interval,
the cells (about 2 million per Petri plate) were washed three times
with acid phosphate-buffered saline (PBS, pH 5.0), scraped, and counted.
Hypotonic lysis buffer (30 μL, pH 8, 20 mM N-(2-hydroxyethyl)piperazine-N′-ethanesulfonic
acid (HEPES), 10 mM KCl, 1.5 mM MgCl2, 1 mM ethylenediaminetetraacetic
acid (EDTA), 250 mM sucrose, 0.1 mM cOmplete Protease Inhibitor) was
added to each cell pellet and incubated at room temperature for 1
h to perform osmotic lysis of cell membrane. The cells were centrifuged
at 14 000 rpm for 30 min, and their supernatants—the
cytosolic fractions—were pipetted into 1.5 mL Eppendorfs. Each
cell supernatant was added with 100 μL of a 5 μM acetonitrile
solution of internal standard (ISTD), an FA–LR-like octapeptide.
Each cytosol aliquot was diluted to a final volume of 500 μL
with a 1:1 mixture of H2O with 0.1% HCOOH and ACN with
1 μM 1,4-dithiothreitol (DTT) as an antioxidant agent.
Sample Analysis
Sample analysis was carried out on
an UltiMate 3000 UHPLC (Thermo Fisher Scientific) coupled to an Orbitrap
Q-Exactive mass spectrometer. We used an Agilent Poroshell C18 column
(120 Å, 100 × 2.1 mm2, 2.7 μm ps) to separate
the analytes, thermostated at 30 °C, with an injection volume
of 20 μL per sample. Chromatographic profile started with 98%
aqueous phase with 0.1% HCOOH (A) and 2% ACN (B). At 13 min, solvent
B was raised to 28%, and at 16 min to 95% until min 20. Using tSIM
mode in positive electrospray ionization (ESI) source, FA–LR
as [M + 3H]3+ with a m/z of 478.5515 (rt. 12.44), IS as [M + 2H]2+ with a m/z of 444.2168 (rt. 12.16), together with
the exact masses of “free” LRoctapeptide have been
incorporated in the inclusion list. Spectrometer parameters set up
to maximize FA–LR signal were: sheath gas, 40 au; auxiliary
gas, 30 au; source temperature, 290 °C; sweep gas, 3 au; spray
voltage, 3.5 kV; and capillary temperature, 320 °C. A regression
curve was built preparing five different calibration solutions of
FA–LR: 1, 5, 10, 50, and 100 nM concentrations, with 1 μM
IS for each calibrator. Sample values (FA–LR areas divided
by IS areas) were interpolated into regression curve (Figure SI-7) to obtain total sample concentration
of the analyte, which was converted into single-cell cytosolic concentration.
C13* cells were assumed to have a spherical volume of 2 pL, whose
60% represented by cytoplasm. Thus, interpolated values were multiplied
by the final dilution value (500 μL) and divided by the number
of cells for each sample multiplied by a single-cell cytosol volume
(1.2 pL). This formula allowed us to quantify the total cytosolic
concentration of FA–LR for a single cell.
Synergism
Analysis
The nature of the combination between
FA–LR and drugs (namely, cDDP, 5-FU, or RTX) was quantified
by synergism quotient (SQ).[66,67] SQ was defined as the
net growth inhibitory effect of the analogue combination divided by
the sum of the net individual analogue effects on growth inhibition.
A quotient of >1.1 indicates a synergistic effect, that between
0.9
and 1.1 indicates an additive effect, while a quotient of <0.9
indicates an antagonistic effect. A2780 and IGROV-1 cell lines were
exposed to the combinations, and cell growth was determined using
a modified crystal violet dye assay,[59] as
reported above. And 24 h after seeding in complete medium, this was
replaced with FF medium and the cells were treated with 250 nM bioconjugate
and drugs three times every 12 h until to complete 72 h from the treatment
beginning. The heat map and clustering have been realized with the
open-source software R and Bioconductor repository, using ggplot2
and Heatplus packages (https://cran.r-project.org/; https://www.bioconductor.org/).[68,69] For the clustering (Euclidean distance,
complete linkage clustering), to highlight the distance between antagonism,
addition, and synergy values, the synergism quotient values were elaborated
as follows: for synergism quotient values <0.9, a value of 10 was
subtracted; for synergism quotient values ≥1.1, a value of
10 was added.
Authors: D B Longley; P R Ferguson; J Boyer; T Latif; M Lynch; P Maxwell; D P Harkin; P G Johnston Journal: Clin Cancer Res Date: 2001-11 Impact factor: 12.531
Authors: Peter M Wilson; Peter V Danenberg; Patrick G Johnston; Heinz-Josef Lenz; Robert D Ladner Journal: Nat Rev Clin Oncol Date: 2014-04-15 Impact factor: 66.675
Authors: Corine M Beaufort; Jean C A Helmijr; Anna M Piskorz; Marlous Hoogstraat; Kirsten Ruigrok-Ritstier; Nicolle Besselink; Muhammed Murtaza; Wilfred F J van IJcken; Anouk A J Heine; Marcel Smid; Marco J Koudijs; James D Brenton; Els M J J Berns; Jozien Helleman Journal: PLoS One Date: 2014-09-17 Impact factor: 3.240