Iwao Ojima1, Xin Wang1, Yunrong Jing1, Changwei Wang1. 1. Department of Chemistry and Institute of Chemical Biology & Drug Discovery , Stony Brook University-State University of New York , Stony Brook , New York 11794-3400 , United States.
Abstract
Paclitaxel and docetaxel are among the most widely used chemotherapeutic drugs against various types of cancer. However, these drugs cause undesirable side effects as well as drug resistance. Therefore, it is essential to develop next-generation taxoid anticancer agents with better pharmacological properties and improved activity especially against drug-resistant and metastatic cancers. The SAR studies by the authors have led to the development of numerous highly potent novel second- and third-generation taxoids with systematic modifications at the C-2, C-10, and C-3' positions. The third-generation taxoids showed virtually no difference in potency against drug-resistant and drug-sensitive cell lines. Some of the next-generation taxoids also exhibited excellent potency against cancer stem cells. This account summarizes concisely investigations into taxoids over 25 years based on a strong quest for the discovery and development of efficacious next-generation taxoids. Discussed herein are SAR studies on different types of taxoids, a common pharmacophore proposal for microtubule-stabilizing anticancer agents and its interesting history, the identification of the paclitaxel binding site and its bioactive conformation, characteristics of the next-generation taxoids in cancer cell biology, including new aspects of their mechanism of action, and the highly efficacious tumor-targeted drug delivery of potent next-generation taxoids.
Paclitaxel and docetaxel are among the most widely used chemotherapeutic drugs against various types of cancer. However, these drugs cause undesirable side effects as well as drug resistance. Therefore, it is essential to develop next-generation taxoid anticancer agents with better pharmacological properties and improved activity especially against drug-resistant and metastatic cancers. The SAR studies by the authors have led to the development of numerous highly potent novel second- and third-generation taxoids with systematic modifications at the C-2, C-10, and C-3' positions. The third-generation taxoids showed virtually no difference in potency against drug-resistant and drug-sensitive cell lines. Some of the next-generation taxoids also exhibited excellent potency against cancer stem cells. This account summarizes concisely investigations into taxoids over 25 years based on a strong quest for the discovery and development of efficacious next-generation taxoids. Discussed herein are SAR studies on different types of taxoids, a common pharmacophore proposal for microtubule-stabilizing anticancer agents and its interesting history, the identification of the paclitaxel binding site and its bioactive conformation, characteristics of the next-generation taxoids in cancer cell biology, including new aspects of their mechanism of action, and the highly efficacious tumor-targeted drug delivery of potent next-generation taxoids.
One of the authors (I.O.) has had the
pleasure of collaborating
with Professor Susan Band Horwitz for the last quarter century on
various aspects of the chemistry and biology of taxol (paclitaxel),
docetaxel, and other taxoids (Figure ). Therefore, the authors believe that it is appropriate
to summarize our endeavor driven by the quest for efficacious next-generation
taxoid anticancer agents, featuring our collaboration with Dr. Horwitz
and findings in perspective as a review article, including relevant
results from other research laboratories.
Figure 1
Taxol (paclitaxel) and
docetaxel.
Taxol (paclitaxel) and
docetaxel.Throughout our medicinal chemistry
and drug discovery efforts,
focusing on next-generation taxoids derived from 10-deacetylbaccatin
III (10-DAB), 14β-hydroxy-10-deacetylbaccatin III (14β-OH-DAB), C-seco-baccatin, and analogues with fluorinated
C13-isoserine side chains, Dr. Horwitz has helped us identify characteristic
effects of these taxoids on tubulin and its microtubule formation,
as compared to those of guanosine triphosphate (GTP) and paclitaxel.
These studies led us to investigate the nature of the formed microtubules
in detail, as well as the thermodynamic basis for interactions with
tubulin/microtubules. We had intensive collaborations on the identification
of the taxol-binding site in tubulin monomers, as well as P-glycoprotein
(Pgp) by designing, synthesizing, and using radio- and photoaffinity-labeled
taxol derivatives. We also collaborated on the proposal of a possible
common pharmacophore for several naturally occurring microtubule-stabilizing
agents with diverse structures, prior to the structural information
on tubulin-bound structures of paclitaxel and epothione A by cryo-electron
microscopy (cryo-EM) of a zinc-stabilized α,β-tubulin
dimer model became available. Then, with this cryo-EM data for the
taxol–tubulin complex model structure in hand, we succeeded
in identifying a single amino acid residue (Arg282) in β-tubulin
by using a radio- and photoaffinity-labeled taxol derivative. This
led us to investigate the bioactive structure (conformation) of taxol
by solid-state NMR spectroscopy of taxol-bound microtubules and computer
modeling. Our strategy for the discovery and development of next-generation
taxoids had a very clear focus on their activities against multidrug-resistant
(MDR) cancer cell lines and tumors expressing MDR phenotypes, especially,
Pgp. Dr. Horwitz had a keen interest in all kinds of taxane resistance,[1] not limited to Pgp-based resistance. Her pioneering
work on the overexpression of class III β-tubulin (βIII-tubulin)
as a possible cause of taxol-resistance based on the analysis of clinical
samples inspired extensive studies on this particular type of drug
resistance and its solution by discovering compounds that could overcome
it. We have investigated the activities of next-generation taxoids,
including C-seco-taxoids, and found
highly potent taxoids that can overcome drug resistance based on βΙΙΙ-tubulin
overexpression.Building upon the discovery and development
of highly potent next-generation
taxoids, especially against drug-resistant cancer cells and tumors,
we initiated an investigation into tumor-targeted drug delivery of
these taxoids. We constructed various drug conjugates, bearing mechanism-based
smart linkers and a variety of tumor-targeting molecules, using nanoscale
vehicles that could exploit enhanced permeability and retention (EPR)
effects, that are selective to tumors. We have also found that next-generation
taxoids possess high potency and efficacy against cancer stem cells
(CSCs) and CSC-initiated tumors. More recently, we have found that
some of the next-generation taxoids exert efficacy through mechanisms
of action (MOAs) that have not been observed for taxol and docetaxel.Accordingly, drug discovery based on taxoids is still active and
thriving after a quarter of a century since the U.S. FDA approval
of taxol in 1992. This account will concisely go through the rich
history of taxoid research on different fronts in perspective.
Discovery
and Development of Next-Generation Taxoids Based on
Structure–Activity (SAR) Studies
Paclitaxel and docetaxel
are among the most widely used chemotherapeutic
drugs against various types of cancers.[2] Another taxane anticancer drug, cabazitaxel, was recently approved
by the FDA as a combination therapy for prostate cancer treatment.[3] Despite their potent antitumor activity, paclitaxel
and docetaxel cause undesirable side effects as well as drug resistance.[2] Thus, it was apparent in the early 1990s that
it would be essential to develop new taxane anticancer agents with
fewer side effects, enhanced activity against multidrug-resistant
human tumors, and superior pharmacological properties. The limited
availability of these two drugs, as well as the pursuit for improved
analogues, made them the focus of many synthetic investigations and
extensive SAR studies.[4−7] For securing the supply of taxol through practical semisynthesis,
a major breakthrough was the isolation of 10-deactylbaccatin III (10-DAB)
(Figure ) from the
needles and leaves of the European yew, Taxus baccata, by Potier’s group in the early 1980s.[8,9]
Figure 2
10-DAB,
14β-OH-10-DAB, and the β-lactam synthon method.
10-DAB,
14β-OH-10-DAB, and the β-lactam synthon method.Initial SAR studies of paclitaxel
were primarily performed by the
laboratories of Kingston and Potier in the 1980s to the early early
1990s.[10−13] These studies of taxol guided the site-specific modifications of
this unique tetracyclic diterpene skeleton. For SAR studies of taxoids
from the early 1990s until now, in the vast majority of cases, the
β-lactam synthon method, i.e., the asymmetric synthesis of a
C-13-isoserine synthon (β-lactam)[14−17] combined with a highly efficient
ring-opening coupling, has been used. The ring-opening coupling protocol,
“Ojima–Holton coupling”, was invented independently
by Dr. Robert Holton (Florida State University, Tallahassee)[18,19] and our laboratory.[15−17] The β-lactam synthon method enabled a practical
semisynthesis of paclitaxel, used in several total syntheses of paclitaxel,
and provided a highly efficient method for the synthesis of a variety
of taxoids for medicinal chemistry and drug discovery (Figure ).[20]
Second-
and Third-Generation Taxoids Derived from 10-Deacetylbaccatin
III
Our SAR study on taxoids has indicated that (i) the C-3′-phenyl
group can be replaced with an alkenyl or alkyl group and (ii) the
C-10 position can be modified with certain acyl groups that make the
compounds 1–2 orders of magnitude more potent than paclitaxel
and docetaxel against MDR human cancer cell lines. These highly potent
taxoids were termed “second-generation taxoids”.[21,22] Following the discovery of the beneficial effect of meta substitution on the C-2-benzoyl group of paclitaxel by the group
of Dr. David Kingston (Virginia Tech, Blacksburg),[23,24] we found that similar substitution (e.g., MeO, N3, Cl,
F, etc.) at the meta position of the C-2-benzoyl
group of the second-generation taxoids enhanced their potencies up
to 3 orders of magnitude over those of the parent drugs against MDR
human cancer cell lines, wherein drug resistance was virtually resolved.[22,25,26] Thus, those taxoids were termed
“third-generation taxoids”.[27] General structures of these second- and third-generation taxoids,
i.e., “next-generation taxoids”, developed in our laboratory
are shown in Figure . It is worth mentioning that these next-generation taxoids can overcome
not only MDR by overexpression of Pgp[22] but also other taxane-resistance mechanisms such as the resistance
caused by overexpression of βIII-tubulin[28] and point mutations at the taxane binding site[22] in microtubules.
Figure 3
Structures of next-generation
taxoids.
Structures of next-generation
taxoids.
Taxoids Derived from 14β-Hydroxybaccatin
III
14β-Hydroxy-10-deacetylbaccatin III (14β-OH-DAB, Figure ) was isolated from
the needles of Taxus wallichiana Zucc.[29] As this natural product was more water-soluble
than 10-DAB, the corresponding taxoids were expected to have better
bioavailability and diminished hydrophobicity-related drug resistance.
Thus, derivatives of docetaxel, as well as second-generation taxoids
based on this unique baccatin derivative, were synthesized and their
biological activities examined.[30] Also,
a series of second-generation taxoids, bearing a 1,14-carbonate of
14β-OH-DAB, were synthesized and their biological activities
evaluated (Figure ).[31] Most of these novel taxoids showed
better activity against drug-sensitive cancer cell lines with 1 order
of magnitude higher potency against an MDR cancer cell line.[31] After extensive preclinical evaluations, one
of these taxoids, ortataxel (Figure ), was selected as a clinical candidate and advanced
to phase II clinical trials.[32]
C-seco-Taxoids
C-seco-taxoid IDN5390, synthesized
from C-seco-baccatin
III, exhibited 8 times higher potency than paclitaxel against a drug-resistant
OVCAR3 ovarian cancer cell line, as well as the taxane-resistant ovarian
cancer cell lines A2780TC1 and A2780TC3.[33] To explore the unique activity of C-seco-taxoids
against cancer cell lines overexpressing βIII-tubulin, a series
of C-seco-taxoids, bearing modifications
at the C-2 and C-3′ positions, were synthesized, and their
potencies examined (Figure ).[34] These C-seco-taxoids did not show cross-resistance to cisplatin-resistant A2780CIS
and topotecan-resistant A2780TOP cell lines and showed remarkably
higher potency than paclitaxel against the paclitaxel-resistant A2780TC1
and A2780TC3 cell lines, overexpressing βIII-tubulin.[34]
3′-Difluorovinyltaxoids
As
a part of the systematic
design and development of the next-generation taxoids, we investigated
novel 3′-trifluoromethyl- and 3′-difluoromethyltaxoids
with C-10 as well as C-10/C-2 modifications.[35−37] Thus, it was
shown that trifluoromethyl and difluoromethyl groups are viable modifiers
of the C-3′ position, and a number of highly potent fluorotaxoids
were identified. Nevertheless, the isobutenyl group was found to be
the best substituent at C-3′ for cytotoxicity. However, our
study on the metabolic stability of 3′-isobutyl- and 3′-isobutenyltaxoids
revealed a marked difference in metabolism between the next-generation
taxoids and those of docetaxel and paclitaxel.[38] The metabolism study showed that CYP 3A4 in the cytochrome
P450 family in humans metabolized these taxoids, such as SB-T-1214
(1) and SB-T-1216 (2), through hydroxylation
primarily at the two allylic methyl groups of the C-3′-isobutenyl
group (Figure ).[38]
Figure 4
Primary sites of hydroxylation on the next-generation
taxoids by
the P450 family of enzymes.
Primary sites of hydroxylation on the next-generation
taxoids by
the P450 family of enzymes.In order to prevent this allylic hydroxylation, we introduced
a
difluorovinyl group by mimicking the 3′-isobutenyl group.[39] A series of novel 3′-difluorovinyltaxoids
were synthesized through the Ojima–Holton coupling of enantiopure
(3R,4R)-4-difluorovinyl-β-lactam
with various baccatins with modifications at the 10 and/or 2 positions.[39]3′-Difluorovinyltaxoids exhibit
impressive potencies against
human breast, ovarian, colon, and pancreactic cancer cell lines.[39] It has also been shown that these fluorotaxoids
initiate apoptosis primarily via the activation of caspases 2, 8,
and 9.[40] 3′-Difluorovinyltaxoids
exhibited 1–2 orders of magnitude better potency against MCF-7
breast, HCT-29 colon, and PANC-1 pancreatic cancer cell lines (drug-sensitive)
and 2–3 orders of magnitude higher potency against the NCI/ADR
cancer cell line (drug-resistant) than that of paclitaxel.[39]
Common Pharmacophore Hypothesis for Microtubule-Stabilizing
Anticancer Agents
Paclitaxel was the first naturally occurring
microtubule-stabilizing
anticancer agent (MSAA), which was characterized mechanistically by
Dr. Susan Band Horwitz.[41] Following this
discovery, several other natural products, such as epothilones A and
B (3a, 3b),[42] eleutherobin (4),[43] discodermolide
(5),[44] and (−)-zampanolide
(7),[45] which were isolated
from myxobacterium, coral, and marine sponges (Figure ), have also been identified as MSAAs.[41,46] Although these natural products possess diverse structures, their
activities are comparable to or better than those of paclitaxel in
various assays.[43,44,47−49] Moreover, these compounds were found to competitively
inhibit the binding of [3H]-paclitaxel,[47,50−52] which strongly suggests the existence of a common
or at least closely overlapping binding site in microtubules.
Figure 5
Various naturally
occurring microtubule-stabilizing agents and
nonataxel (6).
Various naturally
occurring microtubule-stabilizing agents and
nonataxel (6).
Common Pharmacophore Proposal for Microtubule-Stabilizing Anticancer
Agents
In collaboration with Dr. Horwitz and Dr. Samuel Danishefsky
(Memorial Sloan-Kettering Cancer Center, New York), we proposed a
possible common pharmacophore for paclitaxel, epothilones A and B
(3a and 3b), eleutherobin (4), and discodermolide (5) based on the conformational
analysis of a totally nonaromatic and active taxoid, nonataxel (6).[50] Since the phenyl rings in
paclitaxel and docetaxel were generally considered essential for their
potent cytotoxicity at that time, the discovery of highly potent totally
nonaromatic taxoids, represented by 6, was a surprise
to the field. Nonataxel (6) exhibited subnanomolar IC50 values against MCF7 human breast (0.9 nM), A121 human ovarian
(0.9 nM), and A549 human non-small-cell lung (0.9 nM) cancer cell
lines and was more potent than paclitaxel and docetaxel.[50] In the absence of credible protein-bound MSAA
structures at that time, the useful information we had on hand was
the crystal structures of docetaxel and paclitaxel, as well as their
structures (conformations) in protic and nonprotic solvent systems.[5,53−55] On the basis of detailed 2D NMR studies on the conformation
of nonataxel in DMSO/water in combination with computational modeling,
we determined a plausible 3D structure of 6 and searched
computationally for the best overlays with 3b, 4, and 5. This operation produced “looks
very good” overlays, as shown in Figure . These overlay structures for the proposed
common pharmacophore also explained the SAR study results for 3, 4, and sarcodictyns (eleutherobin without
a sugar side chain).[50] In addition, a macrocyclic
hybrid of paclitaxel, docetaxel, and nonataxel (6), SB-TE-1120
(8) (Figure ), was designed and synthesized, which exhibited moderate
cytotoxicity (IC50 0.39 μM) against the MDA-435/LCC6-WT
human breast cancer cell line and 37% activity as compared to paclitaxel
in the tubulin polymerization assay.[50] Although
macrocyclic hybrid molecules, additionally synthesized, did not exceed
the potency of 8, their syntheses proved the power of
Ru-catalyzed ring-closing metathesis as applied to multifunctional
complex molecules and provided prospects for de novo drug design of
potent MSAAs with simpler structures than complex natural products.[56] Accordingly, our common pharmacophore proposal
spurred tremendous interest among MSAA researchers for a variety of
implications in drug design.
Figure 6
Overlay of nonataxel (6, cyan)
with (a) paclitaxel,
(b) epothilone B (3b), (c) eleutherobin (4), and (d) discodermolide (5) (all in yellow). Designators
A, B, and C correspond to regions of common overlap. Adapted from
ref (50) with permission.
Figure 7
Macrocyclic hybrid taxoid.
Overlay of nonataxel (6, cyan)
with (a) paclitaxel,
(b) epothilone B (3b), (c) eleutherobin (4), and (d) discodermolide (5) (all in yellow). Designators
A, B, and C correspond to regions of common overlap. Adapted from
ref (50) with permission.Macrocyclic hybrid taxoid.However, when cryo-electron microscopy (cryo-EM; electron
crystallography)
provided the first “crystal structure” of paclitaxel-bound
Zn2+-stabilized α,β-tubulin dimer sheet model
(3.7 Å resolution),[57] the research
interest of ourselves and others in this field naturally moved to
the determination of the bioactive structure of paclitaxel in the
protein (see later in this review article). Moreover, the cryo-EM
structure of epothilone A in the Zn2+-stabilized tubulin
dimer model (2.89 Å resolution) did not show meaningful overlap
with the cryo-EM structure of paclitaxel.[58] Thus, the common pharmacophore concept appeared to have lost ground
for several years until a very different tubulin-bound structure of
epothilone A was elucidated by solution NMR spectroscopy with the
real tubulin/microtubule in 2007.[59] The
NMR structure of the tubulin–epothilone A complex was found
to partially overlap with the structure of the paclitaxel–tubulin
dimer sheet model stabilized by zinc ion, and SAR study results on
epothilone analogues were nicely accommodated.[59] Thus, the common pharmacophore concept was fully revived
from this point on. A 3D QSAR-based pseudoreceptor model for epothilone
A (3a) and paclitaxel based on a common pharmacophore
concept was proposed in 2003, which accommodated the SAR and mutagenesis
results well.[60] Nevertheless, this pseudoreceptor
model also had to wait until the appearance of the critical NMR study
mentioned above in order to be validated. This model predicted the
common pharmacophore for paclitaxel and epothilone B (3b) as illustrated in Figure , which has close similarity to the one we proposed back in
1999 (see Figure b).
Further validation of this common pharmacophore was performed by the
synthesis of a number of epothilone analogues and their SAR analysis.[61]
Figure 8
Common pharmacophore of paclitaxel and epothilone B (3b).
Common pharmacophore of paclitaxel and epothilone B (3b).(−)-Zampanolide
(7) is another macrolide isolated
from a marine sponge[62] and was only recently
added to the list of MSAAs.[63] The X-ray
crystal structure of the zampanolide–tubulin complex was determined
at 1.8 Å resolution in 2013.[64] The
zampanolide molecule was deeply buried in the taxane binding pocket
formed by hydrophobic residues, and C-9 of zampanolide (7) was covalently bound to His229 of β-tubulin. Also,
the side chains of zampanolide (7) and epothilone A (3a) showed an excellent overlap, indicating the existence
of a common pharmacophore. Thus, our original common pharmacophore
concept is still alive and thriving for a variety of MSAAs.
Identification
of Taxol Binding Site in Tubulin and Its Bioactive
Conformation
Photoaffinity Probes of Paclitaxel
Dr. Horwitz investigated
the binding site of paclitaxel in tubulin/microtubules by photoaffinity
labeling by using the radio-labeled photoreactive paclitaxel analogues
[3H]3′-(p-azidobenzamido)paclitaxel
(9)[65] and [3H]2-(m-azidobenzoyl)paclitaxel (10)[66] (see Figure ). Both probes photolabeled the N-terminal domain of
β-tubulin specifically. Probe 9 led to the identification
of the peptide fragment with the 1–31 amino acid residues,[65] while probe 10 verified the peptide
fragment with the 217–231 amino acid residues.[66]
Figure 9
Photoaffinity probes and fluorine probes of paclitaxel.
Photoaffinity probes and fluorine probes of paclitaxel.Although these two photoaffinity labeling results
provided critical
information that paclitaxel binds to the β-tubulin subunit near
the interface with the α-tubulin subunit, it was still not possible
to pinpoint the exact binding site as a result.Accordingly,
we collaborated with Dr. Horwitz to carry out a third
photoaffinity labeling using [3H]7-(benzoyldihydrocinnamoyl)paclitaxel
(11). This experiment originally identified the peptide
fragment with 277–293 amino acid residues of β-tubulin.
Very fortunately, the subsequent sequence analysis led to the unambiguous
determination of Arg282 as the single amino acid residue to which
the benzophone radical was incorporated.[67] This was an exciting finding since it became possible for us to
construct a highly plausible binding site for paclitaxel based on
computer modeling. We found that our computationally identified paclitaxel
binding site and the position of the baccatin skeleton in the real
microtubules were in good agreement with those determined by the cryo-EM
of the paclitaxel-bound Zn2+-stabilized tubulin dimer model.[67] However, it was still not possible to determine
the bioactive conformation of the N-benzoylphenylisoserine
side chain at C-13 of paclitaxel.
Cryo-EM Structure of Paclitaxel
Bound to Zn2+-Stabilized Tubulin Dimer Model
The first cryo-EM (electron
crystallography) structure of the paclitaxel–tubulin complex
was reported in 1998, which used a Zn2+-induced α,β-tubulin
dimer sheet at 3.7 Å resolution (PDB: 1TUB). The electron density map clearly showed
the baccatin skeleton and one of the side chains. For the determination
of the position of baccatin, the first two photoaffinity labeling
results made an important contribution. Based on the 1TUB structure
and computational analysis, the “T-Taxol” structure
was proposed in 2001 as the tubulin-bound bioactive from of paclitaxel
(see Figure ).[68] The 1TUB structure
was further refined to 3.5 Å resolution (PDB: 1JFF) in 2001.[69] In this structure, the overall tubulin folding
remains almost the same, while the geometry and side-chain positions
are better defined than the 1TUB structure, revealing multiple amino
acid residues in β-tubulin that were involved in paclitaxel
binding.
Figure 11
(a) “T-Taxol” in 1TUB.
(b) “REDOR-Taxol”
in 1JFF. (c) Overlay of “T-Taxol” and “REDOR-Taxol”
in 1JFF. Adapted from ref (75) with permission.
Fluorine probes of paclitaxel for solution and solid-state NMR
studies.(a) “T-Taxol” in 1TUB.
(b) “REDOR-Taxol”
in 1JFF. (c) Overlay of “T-Taxol” and “REDOR-Taxol”
in 1JFF. Adapted from ref (75) with permission.
Use of Fluorine Probes for the Structural Analysis of Paclitaxel
in Solution and in Protein
The use of 19F NMR
methods for the conformational analysis of paclitaxel in solution,
as well as in the solid state (protein), has produced critically important
findings. For example, a fluorine probe, SB-T-31031 (12), was used for the analysis of dynamic conformational changes to
successfully characterize three conformers in different solvent systems
based on variable-temperature NMR techniques, exploiting the wide
dispersion of 19F chemical shifts, combined with the measurement
of temperature dependence of vicinal proton coupling in the phenylisoserine
side chain, as well as 19F–1H heteronuclear
NOE measurements.[55] Another fluorine probe,
F2-10-Ac-docetaxel (13), was used for the
determination of intramolecular 19F–19F distance based on homonuclear NOE when it was bound to tubulin
in the solid state by applying solid-state magic angle spinning (SSMAS) 19F NMR with the radio frequency driven dipolar recoupling
(RFDR) pulse sequence. This pioneering SSMAS-RFDR work was performed
in collaboration with Dr. Ann McDermott (Columbia University, New
York), Dr. M. Lane Gilchrist (Columbia University/City University
of New York, New York), and Dr. Horwitz.[70] The F–F distance for the two F atoms in the tubulin-bound 13 was determined to be 6.5 ± 0.5 Å, which suggested
that this structure would have been formed via a small distortion
of a solution conformation.[70]For
the SSMAS applications to the structural analysis of protein-bound
small molecules, the rotational echo double resonance (REDOR) pulse
sequence emerged as a powerful technique to accurately determine intramolecular
atom–atom distances based on heteronuclear NOE. Thus, [13C,15N]-2-(4-fluorobenzoyl)paclitaxel (14)[71] and tetradeutero(fluoro)paclitaxel
(15)[72] were used to determine
several intramolecular 19F–13C and 19F–2H distances in these fluoropaclitaxel
molecules. The first 19F–13C REDOR distances
were reported in 2000, and the second 19F–2H distances were determined in 2007. The distances thus determined
were used for computational analyses to deduce the tubulin-bound paclitaxel
structure. Thus, the “T-Taxol” structure satisfied those
intermolecular atom–atom distances indicated by REDOR NMR.[71,72]However, our Monte Carlo conformation search guided by the
first
REDOR-NMR data for fluoropaclitaxel 13 produced 16 possible
conformations. Next, the structure with the least deviation from the
two 19F–13C REDOR distances was selected
as the best structure, which was named “REDOR-Taxol”
in 2005 (see Figure ).[73] The major difference between the
“REDOR-Taxol” and “T-Taxol” structures
is the H-bonding interaction of the OH-2′ group in the phenylisoserine
side chain with β-tubulin. In the “T-Taxol” structure,
the OH-2′ served as a H-bond acceptor to interact with the
NH of Gly370 at the loop connecting strands B9 and B10, while in the
“REDOR-Taxol” structure, the OH-2′ acts as a
H-bond donor interacting with His 229.[73] The well-known SAR study indicates that OH-2′ should serve
as a H-bonding donor.[74] This conclusion
was, however, challenged by the report of an additional three 19F–2H REDOR distances determined by a second
REDOR-NMR study in 2007,[72] which provided
data that favored the T-Taxol conformation over the REDOR-Taxol conformation.
A subsequent study using 1JFF in place of 1TUB for both “T-Taxol”
and “REDOR-Taxol” for optimization confirmed that both
structures satisfied REDOR distance constraints well.[75] When 1JFF was used, the proposed H-bonding of the C2-OH
with Gly370 in “T-Taxol” was found to be unstable in
molecular dynamics (MD) simulations, while that of “REDOR-Taxol”
with His229 was very stable.[75]
Conformationally
Constrained Paclitaxel Analogues Mimicking
“T-Taxol” and “REDOR-Taxol”
Rigidified
macrocyclic paclitaxel analogues were designed and synthesized to
mimic the “T-Taxol” and “REDOR-Taxol”
structures. This is a logical approach to validate the relevance of
these two proposed bioactive structures. Dr. Kingston’s team
synthesized several C-4–C-3′-linked macrocyclic paclitaxel
analogues to support the “T-Taxol” structure, while
our laboratory constructed several C-14–C-3′NBz-linked
macrocyclic paclitaxel analogues to support the “REDOR-Taxol”
structure. Representative molecular structures of these novel macrocyclic
paclitaxel mimics are shown in Figure .
Figure 12
Macrocyclic paclitaxel analogues mimicking
“T-Taxol”
and “REDOR-Taxol”.
Macrocyclic paclitaxel analogues mimicking
“T-Taxol”
and “REDOR-Taxol”.Paclitaxel mimic K1 (16) exhibited substantially
better
activity than paclitaxel in a tubulin polymerization assay (2×)
and in a cytotoxicity assay (20×) against the A2780 human ovarian
cancer cell line.[76−78] The related mimic K3 (17) also showed
the same activity as 16 in the tubulin polymerization
assay, but an equal potency to paclitaxel in cytotoxicity assays against
the PC3 human prostate and A2780 human ovarian cancer cell lines.[77] Mimic 17 was reported to take the
“T-Taxol” structure as the predominant form (83%) in
CDCl3 based on the NMR analysis for flexibility in solution
(NAMFIS[79]).[77]Paclitaxel mimic SB-T-2054 (19) exhibited virtually
the same activity as paclitaxel in the tubulin polymerization assay
and in the cytotoxicity assay against the MCF7 (breast), NCI/ADR (ovarian),
LCC6-WT (breast), LCC6-MDR (breast), and HT-29 (colon) human cancer
cell lines.[80] The microtubules formed with 16 and paclitaxel were found to be very similar, while those
formed with GTP are known to be longer and more uniform. Mimic SB-T-2053
(18), a double-bond regioisomer of 19, showed
slightly better activity than paclitaxel in the tubulin polymerization
assay, but exhibited slightly weaker cytotoxicity than paclitaxel.[73] Both macrocyclic mimics take a virtually perfect
“REDOR-Taxol” structure in computer modeling, and those
structures are very stable in the MD simulations.[75,80]Detailed computational analysis, including MD simulations
for stability,
of the “T-Taxol” mimic 16 and its saturated
analogue has revealed that these mimics can readily take the “REDOR-Taxol”
structure with the H-bonding of OH-2′ to His229 without any
clash with the protein, and their “REDOR-Taxol” forms
are very stable in the MD simulations.[75] Thus, it has been shown that 16, 17, and
their congeners are not exclusive to the “T-Taxol” structure
and mimic the “REDOR-Taxol” structure very well, too.
Characteristics of Next-Generation Taxoids in Cancer Cell Biology
Tubulin
Polymerization and Microtubule Dynamics
Next-generation
taxoids were found to possess exceptional activity in promoting tubulin
assembly, forming numerous very short microtubules,[22] in a manner similar to those formed by discodermolide,
which has been recognized as the most potent naturally occurring microtubule-stabilizing
agent.[44,81−83]The activities
of SB-T-1214 (1), SB-T-121303 (20), and
SB-T-1213031 (21) on tubulin/microtubules were evaluated
by tubulin polymerization assays using calf brain microtubule protein
(MTP).[22] These three taxoids induced tubulin
polymerization in the absence of GTP in a manner similar to paclitaxel
(see Figures and 14), and the microtubules formed with these new-generation
taxoids were stable against Ca2+-induced depolymerization.[22] As Figure shows, taxoids 1 and 20 promote
the rapid polymerization of tubulin at a faster rate than paclitaxel.
The turbidity of the tubulin solution treated by 1 or 20 reaches a plateau quickly and does not change with time.
This observation may imply that there is a difference in structure
between microtubules formed with the new-generation taxoids and those
with paclitaxel. The third-generation taxoid 20 causes
spontaneous tubulin polymerization, reaching >90% of a plateau
within
5 min from onset, while it takes about 12 min for 1 to
reach the same point.[22]
Figure 13
Tubulin polymerization
with SB-T-1214 (1), SB-T-121303
(20), and paclitaxel: microtubule protein 1 mg/mL, 37
°C, GTP 1 mM, drug 10 μM. Adapted with permission from
ref (22).
Figure 14
Tubulin polymerization with SB-T-1213031 (21): microtubule
protein 1 mg/mL, 37 °C, GTP 1 mM, drug 10 μM. Adapted with
permission from ref (22).
Tubulin polymerization
with SB-T-1214 (1), SB-T-121303
(20), and paclitaxel: microtubule protein 1 mg/mL, 37
°C, GTP 1 mM, drug 10 μM. Adapted with permission from
ref (22).Tubulin polymerization with SB-T-1213031 (21): microtubule
protein 1 mg/mL, 37 °C, GTP 1 mM, drug 10 μM. Adapted with
permission from ref (22).In a similar manner, the activity
of 21 was compared
with that of paclitaxel in a tubulin polymerization assay[22] using a protocol for tubulin preparation slightly
different from that used for the experiments presented in Figure . As Figure shows, this assay
reveals a remarkable difference in the rate of tubulin polymerization
between the third-generation taxoid 21 and paclitaxel.
Taxoid 21 causes almost instantaneous polymerization
of tubulin, completing the polymerization within 2 min, while paclitaxel
promotes the polymerization much more slowly.[22]Essentially the same results, i.e., rapid tubulin polymerization
and stabilization of microtubules formed, were obtained for SB-T-1213
(22) and ortataxel,[84] as well
as the difluorovinyltaxoids SB-T-12851 (23), SB-T-12852
(24), SB-T-12853 (25), and SB-T-12854 (26) (see Figure for structures).[39]
Figure 15
Selected
structures of next-generation taxoids used in the tubulin
polymerization assay.
Selected
structures of next-generation taxoids used in the tubulin
polymerization assay.The microtubules formed with the next-generation taxoids 1, 20, and 21 were analyzed further
by electron microscopy for their morphology and structure in comparison
with those formed by using GTP and paclitaxel.[22] As Figure A and B show, GTP and paclitaxel form long and straight microtubules.
The microtubules formed with 1 (Figure C) are shorter than those with GTP or paclitaxel.
In contrast, the morphology of the microtubules formed by the action
of 20 and 21 is unique in that those microtubules
are very short and numerous (Figure D and E). The microtubules with 20 appear
to have more curvature than those with 21. It is worth
mentioning that discodermolide forms microtubules with characteristics
similar to those formed with 20 and 21,
i.e., short and numerous (Figure F).[44,81−83] It is strongly
suggested that the formation of short and numerous microtubules is
related to the instantaneous rapid polymerization of tubulin observed
with these third-generation taxoids as well as discodermolide.[22]
Electromicrographs of microtubules (20 000×):
(A) GTP;
(B) paclitaxel; (C) SB-T-1214 (1); (D) SB-T-121303 (20); (E) SB-T-1213031 (21); (F) discodermolide.
Copied from ref (22).The microtubules formed by treatment
of tubulin with three difluorovinyltaxoids, 23, 24, and 26, were also analyzed
by electron microscopy.[39] There was morphological
similarity between those microtubules generated by the action of difluorovinyltaxoids
and those by 21 and 1, but the formation
of thinner, shorter, and straight microtubules appears to be unique
to difluorovinyltaxoids.[39]Taxoid 22 induces the formation of unusual microtubules
with attached extra protofilaments or open sheets, and ortataxel induces
large protofilamentous sheets.[84] As Figure shows, ortataxel
(A and B) induced the formation of large bundles of fibers (asterisk),
large sheets (arrows), and a few microtubules. Taxoid 22 (C and D) induced the formation of microtubules (M) and a few sheets
(arrows), partial microtubules, loops and coils (C), and long regions
of a small number of protofilaments associated linearly with microtubules.
Paclitaxel (1 μM) (E and F) induced the formation of many microtubules
(M) and few sheets or loops. The marked tendency of ortataxel and 22 to induce the polymerization of tubulin into sheets and
other aberrant microtubule-like forms suggests that these next-generation
taxoids induce conformational changes in tubulin/microtubules that
differ significantly from the conformational changes induced by paclitaxel.
Thus, the differences in the interactions of these taxoids with tubulin/microtubules
are likely to play a role in their enhanced cytotoxicity and tumor
efficacy as compared with paclitaxel.
Figure 17
Tubulin polymers induced
by 1 μM ortataxel or 1 μM
SB-T-1213 (22), as compared to paclitaxel. Electron micrographs:
left column, low magnification; right column, high magnification.
The scale bar in A represents 500 nm; that in B represents 100 nm.
A, C, and E are at the same magnification, as are B, D, and F. Adapted
from ref (84) with
permission.
Tubulin polymers induced
by 1 μM ortataxel or 1 μM
SB-T-1213 (22), as compared to paclitaxel. Electron micrographs:
left column, low magnification; right column, high magnification.
The scale bar in A represents 500 nm; that in B represents 100 nm.
A, C, and E are at the same magnification, as are B, D, and F. Adapted
from ref (84) with
permission.
Unique Thermodynamic Properties
of Next-Generation Taxoids for
Tubulin-Binding
The critical concentration of tubulin required
for assembly induction in the presence of 1, 20, and 26 was determined and compared with those for
paclitaxel using centrifugation and quantification of the microtubules
formed (Table ).[28] Apparently, these three next-generation taxoids
induced tubulin assembly with much higher potency than paclitaxel
and docetaxel. Thus, it is indicative that not only the rate of assembly
was greater but also a larger number of microtubules was formed. It
should be noted that fluorotaxoid 26 exhibited the strongest
assembly induction power among the taxanes examined, with a critical
concentration of 0.3 μM.
Table 1
Critical Concentration
(μM)
of Tubulin Required for Microtubule Assembly
compound
critical tubulin concentration
DMSO (vehicle)
>200
paclitaxel
4.2 ± 0.2
1 (SB-T-1214)
0.9 ± 0.2
20 (SB-T-121303)
0.6 ± 0.1
26 (SB-T-12854)
0.3 ± 0.1
In order to correlate the observed cytotoxic effect
of paclitaxel
and these next-generation taxoids with their affinity to microtubules,
the binding constants of these compounds were determined using a fluorescent
ligand displacement method.[28] As Table shows, the binding
of 26 is ca. 10 times stronger than paclitaxel and slightly
better than 1, while a third-generation taxoid, 20, binds to microtubules 270–330 times stronger than
paclitaxel.[28]
Table 2
Binding
Constants of Taxanes with
Microtubules (×107 M–1)
compound
26 °C
35 °C
paclitaxel
2.64 ± 0.17
1.43 ± 0.17
1 (SB-T-1214)
12 ± 2
8 ± 2
20 (SB-T-121303)
731 ± 82
478 ± 47
26 (SB-T-12854)
15 ± 3
10 ± 3
Next, the thermodynamic parameters
of the interaction, i.e., free
energy of the binding (ΔG) and the enthalpy
(ΔH) and entropy (ΔS) contributions to ΔG, were calculated based
on the binding constants.[28] As Table indicates, the binding
of these three next-generation taxoids is much less exothermic with
a large decrease in the enthalpy of binding, but this decrease in
the enthalpy of binding was compensated for by a substantial increase
in the entropy of binding, which suggests significant differences
in the binding mechanism.
Table 3
Thermodynamic Parameters
of Binding
of Taxanes to Microtubules
compound
ΔG 35 °C (kJ/mol)
ΔH (kJ/mol)
ΔS (kJ/mol)
paclitaxel
–42.1 ± 0.3
–51 ± 4
–29 ± 13
1 (SB-T-1214)
–46.6 ± 0.6
–32 ± 2
47 ± 6
20 (SB-T-121303)
–57.0 ± 0.2
–31 ± 2
87 ± 7
26 (SB-T-12854)
–47.1 ± 0.7
–28 ± 3
64 ± 10
Newer Insights into the
Mechanism of Action
Significant Activity of Next-Generation Taxoids
against Cancer
Stem Cells and the Origin of Their High Potency
In the past
decade, the ineffectiveness of conventional chemotherapeutic drugs
has been attributed to the existence of relatively rare, highly drug-resistant,
quiescent or slowly proliferating tumor-initiating cells, termed “cancer
stem cells”.[85,86] Through successful isolation
and characterization of CSCs from all major types of human tumors,
it has become evident that CSCs are exclusively endowed with tumor-initiating
capacity for the majority of, if not all, cancer types. More importantly,
there is every indication that CSCs are responsible for tumor maintenance,
resistance to treatment, metastasis, and recurrence.[85] CSCs induce a variety of proliferating, but progressively
differentiating tumor cells, contributing to the cellular heterogeneity
of human cancers. Therefore, it appears that CSCs represent the most
crucial target in the development of next-generation anticancer drugs.[87,88]As described above, next-generation taxoid 1 demonstrated
remarkable efficacy in drug-resistant cancers both in vitro and in
vivo.[22] Taxoid 1 was also
found to exhibit excellent activity against spheroids derived from
highly drug-resistant CSCs.[87] A comparison
of potencies between conventional anticancer drugs and new-generation
taxoids is summarized in Table .[89] As Table shows, it is impressive that these next-generation
taxoids exhibited 41–33 000 times higher potency than
conventional anticancer drugs against the CSC-enriched HCT-116 cell
line. As CSCs are believed to be responsible for tumor metastasis
and reoccurrence,[90] this finding is quite
significant.
Table 4
Cytotoxicity (IC50 nM)
of Standard Anticancer Drugs and New-Generation Taxoids against the
CSC-Enriched (CD133++) HCT-116 Human Colon Cancer Cell Line
anticancer agent
IC50 (nM)
cisplatin
4,540 ± 276
doxorubicin
78.0 ± 28.2
methotrexate
32.7 ± 11.2
paclitaxel
33.8 ± 3.33
topotecan
451 ± 12
1 (SB-T-1214)
0.28 ± 0.10
2 (SB-T-1216)
0.83 ± 0.05
26 (SB-T-12854)
0.14 ± 0.05
27 (SB-T-121602)a
0.24 ± 0.13
See Figure for the structure of SB-T-121602
(27).
See Figure for the structure of SB-T-121602
(27).
Figure 19
Selected structures of next-generation taxoids used in
the cytotoxicity
assays.
It has
been indicated that next-generation taxoids, exhibiting
high potencies against CSCs, suppress the expression of “stemness
genes”, promoting differentiation of the treated CSCs (Figure ),[87] which may provide a new mechanism of action for taxoid
anticancer agents for which the major MOA is the blocking of cell
mitosis at the G2/M stage, leading to the activation of caspases and
then apoptosis.[28,40,91−93]
Figure 18
Drug-induced alteration in the stem-cell-related gene
expression
profiles (PCR array assay). A majority of the stemness genes were
upregulated in floating spheroids grown from CD133high/CD44high cells derived from HCT116, HT29, and DLD-1 cell lines
in comparison with their corresponding bulk counterparts (left panel).
Treatment of colonospheres with 100 nM SB-T-1214 (1)
induced significant downregulation of a majority of the stemness genes.
Adapted from ref (87) with permission.
Drug-induced alteration in the stem-cell-related gene
expression
profiles (PCR array assay). A majority of the stemness genes were
upregulated in floating spheroids grown from CD133high/CD44high cells derived from HCT116, HT29, and DLD-1 cell lines
in comparison with their corresponding bulk counterparts (left panel).
Treatment of colonospheres with 100 nM SB-T-1214 (1)
induced significant downregulation of a majority of the stemness genes.
Adapted from ref (87) with permission.Furthermore, we isolated
CD133high/CD44high-expressing prostate CSCs
from patient-derived PPT2 and metastatic
PC3MM2 cells.[88] The cancer stem cells upregulate
expression of stem-cell-related genes and are likely to form 3D colonospheres.
Treatment of these CSCs with 1 for 48 h induced ca. 60%
cell death in the tested prostate CSCs.[88] It should be noted that the CSCs that survived taxoid 1 treatment exhibited abnormal morphology and were unable to form
secondary floating spheroids. Taxoid 1 treatment remarkably
downregulated the expression of stem-cell-relevant transcription factors
in prostate CSCs and moderately downregulated the expression of pluripotency-related
transcription factors c-Myc and Sox2.[88] Taxoid 1 treatment induced expression of pro-apoptotic/tumor-suppressor
proteins p21 and p53 through “gene wake-up”.[88] In vivo treatment of PPT2 and PC3MM3 tumor-bearing
NOD/SCID mice with 1 weekly (i.v.) for 4 weeks suppressed
tumor growth and even led to tumor eradication in some of the mice.[88]
Suppression of Hedgehog Signaling Pathway
The Hedgehog
(HH) signaling pathway is one of the major pathways in pancreatic
ductal adenocarcinoma (PDAC).[94] The prognostic
importance of the HH pathway was investigated in pancreatic cancer
patients who underwent a radical resection.[95] Tumors and adjacent non-neoplastic pancreatic tissues were obtained
from 45 patients with histologically verified pancreatic cancer. The
effect of next-generation taxoid 2 on the expression
of the HH pathway was evaluated in vivo using a mouse xenograft model
prepared using pancreatic cancer cell line Paca-44.[95] The transcription profile of 34 HH pathway genes in patients
and xenografts was assessed using quantitative PCR. The HH pathway
was strongly overexpressed in pancreatic tumors, and upregulation
of SHH, IHH, HHAT, and PTCH1 was associated with a trend toward decreased
patient survival.[95] No association of Hedgehog
pathway expression with KRAS mutation status was found in tumors.
It was found that a sonic HH ligand was overexpressed, and all other
downstream genes were downregulated by taxoid 2 treatment
in vivo.[95] Effective suppression of the
HH pathway expression in vivo by a next-generation taxoid may provide
a bright prospect in the efficacious treatment of this aggressive
tumor by exploiting this newly revealed MOA involving the HH pathway.
Suppression of the PI3K/Akt Pathway
Several next-generation
taxoids were screened against an extremely paclitaxel-resistant MCF-7/PTX
human breast cancer cell line, developed by Dr. Yalin Dong’s
laboratory (Xi’an Jiaotong University, China) as shown in Table . Among these second-
and third-generation taxoids, two third-generation taxoids, 20 and SB-T-121205 (28), exhibited the best cytotoxicity,
and 28 was selected for detailed mechanistic studies.
The structures of SB-T-101141 (31) and three CF3O-containing taxoids (28–30) are
shown in Figure .
Table 5
Effect of Paclitaxel
and Next-Generation
Taxoids on Cell Viability in MCF-7/PTX Cells
taxane
IC50 (nM)
paclitaxel
2290.87 ± 125.18
1 (SB-T-1214)
80.50 ± 7.62
20 (SB-T-121303)
21.67 ± 2.25
28 (SB-T-121205)
19.01 ± 2.03
29 (SB-T-121405)
34.90 ± 2. 97
30 (SB-T-121605)
31.43 ± 2.84
31 (SB-T-101141)
66.66 ± 5.59
Selected structures of next-generation taxoids used in
the cytotoxicity
assays.SB-T-121205 (28)
exhibits much higher potency against
drug-sensitive and drug-resistant human breast cancer cell lines (MCF-7/S,
MCF-7/PTX, and MDA-MB-453) than paclitaxel, while this taxoid was
less toxic to nontumorigenic human bronchial epithelial cells (BEAS-2B)
as compared to paclitaxel.[96] Flow cytometry
and Western blot analyses revealed that 28 induced cell
cycle arrest at the G2/M phase and apoptosis in MCF-7/PTX cells by
the accelerating mitochondrial apoptotic pathway, resulting in the
reduction of the Bcl-2/Bax ratio, as well as elevation of caspase-3,
caspase-9, and poly(ADP-ribose)polymerase (PARP) levels. Taxoid 28 inhibited cell migration and invasion in the wound-healing-scratch
and Transwell-invasion assays. Furthermore, the mammosphere-forming
ability of MCF-7/PTX cells, as well as their migration and invasion
abilities, was suppressed by SB-T-121205 treatment. The Western blot
assay indicated that 28 treatment increased the expression
of the epithelial marker E-cadherin and decreased that of mesenchymal
markers N-cadherin and vimentin, which indicated that 28 inhibited cell migration in the Snail pathway. Treatment with 28 downregulated the expression of transgelin 2, p-Akt, and
p-GSK-3β and upregulated the expression of tumor-suppressor
PTEN. The results indicate that SB-T-121205 inhibits migration/invasion
and exhibits cytotoxicity by suppressing the PI3K/Akt pathway in MCF-7/PTX
cells,[96] which indicated that selected
next-generation taxoids would be able to prevent metastasis and suppress
epithelial–mesenchymal transition besides killing cancer cells
via enhancement of apoptosis. These are MOAs that have not been known
for classical taxane anticancer agents such as paclitaxel and docetaxel
and warrant further investigations to advance cancer chemotherapy.
Tumor-Targeted Drug Delivery of Next-Generation Taxoid Anticancer
Agents
Traditional chemotherapy depends on the premise that
rapidly proliferating
tumor cells are more likely to be destroyed by cytotoxic agents than
normal cells. In reality, however, these cytotoxic agents have little
or no specificity, which leads to systemic toxicity, causing undesirable
side effects. Accordingly, the development of tumor-specific drug
delivery systems for anticancer agents, differentiating the normal
tissues from cancer cells or tissues, is an urgent need to improve
the efficacy of cancer chemotherapy. Various drug delivery systems
have been studied over the past few decades to address this problem.[97] In general, there are two types of tumor targeting
strategies, i.e., passive targeting and active targeting. Both strategies
can enhance selective accumulation and residence time of anticancer
drugs in tumor.[98]
Passive and Active Tumor-Targeting
Passive tumor-targeting
is based on biophysiological properties of tumor tissues, e.g., numerous
leaky blood vessels and the lack of a lymphatic drainage system in
the tumor.[99] This strategy takes advantage
of the EPR effect[100] of macromolecule-
and nanoparticle-based vehicles (10–500 nm in size), which
is specific to tumor tissues, resulting in selective accumulation
of cytotoxic agents in a tumor.[99] Rapidly
growing cancer cells overexpress tumor-specific receptors to enhance
the uptake of nutrients and vitamins. These receptors can be used
for active tumor-targeting, enabling cancer cell-specific delivery
of cytotoxic agents through receptor-mediated endocytosis (RME). Furthermore,
the characteristic physiology of tumor and cancer cells can be exploited
to selectively accumulate and release a cytotoxic agent inside these
cells. For example, monoclonal antibodies, peptides, aptamers, polyunsaturated
fatty acids, folic acid, biotin, and hyaluronic acid have been employed
as tumor-specific targeting modules to construct tumor-targeting drug
conjugates.[97,98,101−104] Next-generation taxoid anticancer agents certainly serve as potent
payloads for the tumor-targeting drug conjugates.[105]As a general structure, tumor-targeting drug conjugates
(TTDCs) consist of a tumor-targeting module (TTM) conjugated to a
cytotoxic payload through a suitable “smart” linker.
These drug conjugates should be stable in blood circulation to minimize
systemic toxicity and should be effectively internalized inside the
target tumor cells. Upon internalization, the drug conjugate should
efficiently release the cytotoxic agent without loss of potency. Thus,
the “smart” linkers should possess proper characteristics
to provide suitable stability and reactivity. Owing to the critical
importance of linker dynamics for the efficacy of tumor-targeted drug
delivery, various smart linker systems have been developed in the
last two decades, in particular for antibody–drug conjugates
(ADCs)[97,102,106−110] and small-molecule drug conjugates (SMDCs).[97,111−115] In this regard, we have developed novel self-immolative disulfide
linkers that can release unmodified cytotoxic drugs (Figure ).[105,114−119]
Figure 20
Structure and drug release mechanism of disulfide linker. Adapted
from ref (117).
Structure and drug release mechanism of disulfide linker. Adapted
from ref (117).
Vitamin B Receptors as
Targets
Folic acid (vitamin
B9), a tetrahydrofolate precursor, is required in DNA synthesis
and reparation.[120] The corresponding folate
receptor (FR) is overexpressed in a good number of tumors and absent
in most normal tissue.[103] Biotin (vitamin
B7) is a water-soluble vitamin involved in the regulation
of epigenetics,[121] the synthesis and/or
metabolism of fatty acids,[122] and energy
production. The biotin receptors (BRs) are overexpressed in a wide
variety of cancer cells, and the expression levels are even higher
than folate and vitamin B12 receptors in many cancer cells.[123,124] Thus, BR is an excellent target for tumor-targeted drug delivery.[114]Figure exemplifies a series of taxoid-based TTDCs using self-immolative
disulfide linkers, which have been successfully developed in our laboratory.[114,115,117,118] These TTDCs, biotin–linker–taxoid (BLT) and folate–linker–taxoid
(FLT), targeting vitamin B receptors, are efficiently internalized
via RME, which transfers the drug conjugates through endosomal and
lysosomal compartments. It has been shown that the concentration of
endogenous thiols, represented by glutathione (GSH), in these compartments
is >1000 times higher (2–8 mM) than that in the bloodstream
(1–2 μM).[125,126] GSH and other thiols
trigger the drug release cascade of the self-immolative linker system
via the cleavage of disulfide linkage and thiolactonization (Figure ).[117,127] The internalization of TTDCs via RME and designed drug release inside
cancer cells were clearly visualized and validated by confocal fluorescence
microscopy (CFM) and flow cytometry analyses, using fluorescence-labeled
TTDCs.[114,115,117,118] These TTDCs demonstrated 2–3 orders of magnitude
enhanced selectivity and potency against a variety of cancer cells
overexpressing biotin or folate receptors (BR+, FR+), as compared
to normal human fibroblast cells with only natural level of vitamin
B receptors (BR–, FR−).[114,128]
Figure 21
Taxoid-based
SMDCs targeting vitamin B receptors.
Taxoid-based
SMDCs targeting vitamin B receptors.The in vivo study of a BLT conjugate (with taxoid 1) against MX-1 triple-negative human breast tumor xenografts in SCID
mice exhibited remarkable efficacy via i.v. administration weekly
for 4 weeks, wherein all tumors were eradicated without recognizable
body weight loss in all mice examined, while a conventional treatment
with the same taxoid itself was found to need much higher doses to
show tumor regression with considerable systemic toxicity.[129]This TTDC platform was readily applied
to a novel drug conjugate
bearing two different anticancer agents, i.e., taxoid 1, targeting microtubules, and camptothecin (CPT), targeting topoisomerase
I, in one molecule (“dual-warhead” conjugate, Figure ). This type of
dual-warhead conjugate provides a new approach to combination therapy.[115]A theranostic biotin–taxoid conjugate
(Figure ), incorporating
a fluorine-labeled
prostheric for potential 18F-PET imaging, was constructed,
which exhibited excellent cancer cell selectivity (>100) to BR+
cancer
cells as compared to BR– human normal cells.[119]
Antibody–Drug Conjugates
Cancer cells overexpress
certain antigens on the cell surface, and these tumor-specific antigens
can be used as biomarkers to differentiate tumor tissues from normal
tissues.[97,109,130] Certain monoclonal
antibodies (mAb) have high binding specificity to tumor-specific antigens
and can be used as drug delivery vehicles to carry a payload of cytotoxic
agents specifically to the tumor site. The mAb–drug conjugate
is internalized upon binding to the tumor antigen via RME, and the
payload is released inside the cancer cell. We successfully conjugated
a highly cytotoxic C-10-methyldisulfanylpropanoyltaxoid to immunoglobin
G class mAbs, recognizing the epidermal growth factor receptor, through
a disulfide-containing linker (Figure ).[108] These conjugates
showed excellent selectivity in vitro and remarkable antitumor activity
in vivo against A431 human squamous tumor xenografts in SCID mice,
resulting in eradication of the tumor without appreciable systemic
toxicity.[108] This pioneering work on taxoid-based
ADCs was published in 2002,[108] well preceding
the current explosive development of ADCs in clinical trials for cancer
chemotherapy, stimulated by recent FDA approvals of Adcetris (brentuximab
vedotin)[131] and Kadcyla (ado-trastuzumab
emtansine).[132]However, the modification
at the C-10 position of the taxoid resulted in 8–10 times loss
of potency relative to the parent taxoid.[108] Accordingly, a mechanism-based second-generation linker system was
designed and developed to allow the release of the unmodified taxoid
with uncompromised potency, as described above (Figure ).
Nanoscale Vehicles for
Taxoid Delivery
Besides mAbs,
which are nanoscale biomaterials, we have investigated and developed
novel tumor-targeting drug conjugates and nanoparticles using nanoscale
vehicles. Figures and 23 exemplify nanoscale drug delivery
systems with active and passive tumor-targeting, which have been developed
in our laboratory. We successfully constructed a novel TTDC with single-wall
carbon nanotubes (SWNTs), bearing multiple biotins and taxoids, wherein
178 biotin molecules and 71 taxoids (taxoid = SB-T-1214-fluorescein)
are attached to a single SWNT of 250 nm in length and 1 nm in diameter
(average) (Figure ).[118] This huge “Trojan horse”
TTDC was shown to be completely internalized by RME based on CFM analysis,
as well as exhibited excellent cytotoxicity and cancer cell selectivity
(>150) to BR+ cancer cells as compared to normal human cells (BR−),
which clearly indicated the benefit by mass delivery of cytotoxic
payload to cancer cells via RME.[118]
Figure 22
Nanoscale
tumor-targeting drug delivery systems (1).
Figure 23
Nanoscale tumor-targeting drug delivery systems (2). Adapted from
refs (134) and (137) with permission.
Nanoscale
tumor-targeting drug delivery systems (1).Nanoscale tumor-targeting drug delivery systems (2). Adapted from
refs (134) and (137) with permission.We have also constructed a unique
asymmetric bowtie dendrimer (ABTD)-based
TTDC, bearing 16 biotins in the G3 half-dendron moiety and four taxoids
connected to self-immolative linkers in the G1 half-dendron moiety
(Figure ).[133] This asymmetric dendrimer was designed and
synthesized from poly(amido amine) dendrimers with cystamine cores.
This ABTD-TTDC exhibited remarkable cancer cell selectivity (1000–5000)
to ID-8 ovarian and MX-1 breast cancer cell lines (BR+) as compared
to WI38 human lung fibroblast cells (BR−).[133]Poly(2-oxazoline)s (POx) micelle drug delivery systems
were developed
based on triblock copolymers of poly(2-methyl-2-oxazoline) and poly(2-butyl-2-oxazoline).
The POx micelles exhibited high efficiency in solubilization of paclitaxel
and next-generation taxoids. The small and highly loaded POx/SB-T-1214
micelles (<100 nm in diameter) exhibited 1–2 orders of magnitude
higher activity than Pox/paclitaxel in drug-resistant LCC6/MDR human
breast cancer cell line in vitro, as well as impressive in vivo efficacy
in suppressing the growth of LCC6/MDR and T11 orthotropic tumors in
mice models.[134]Nanoemulsions (NEs)
are emerging as an attractive drug delivery
system to enhance the efficacy of drugs and to minimize exposure of
therapeutic cargo to normal tissues, potentially reducing side effects.
To improve therapeutic outcome with reduced toxicity, we developed
a safe and effective, omega-3 rich polyunsaturated fatty acid (PUFA)
containing an oil-in-water nanoemulsion loaded with a PUFA–taxoid
conjugate, DHA-SB-T-1214, which has exhibited remarkable efficacy
in vivo against various tumor xenografts in mice models, including
highly drug-resistant DLD-1 (colon), PANC-1 (pancreatic), and CFPAC-1
(pancreatic) cancer cell lines,[135,136] but had some
stability issues due to oxidation. The nanoemulsion of DHA-SB-T-1214
(NE-DHA-SB-T-1214) solved the oxygen sensitivity issue and proved
very stable at 4–6 °C for a long period of time.[137] NE-DHA-SB-T-1214 exhibited remarkable in vivo
efficacy against CSC-initiated PPT2 human prostate tumor xenografts
in SCID mice, inducing tumor regression.[137] In the same experiment, Abraxane was not able to control the tumor
growth of CSC-PPT2. Viable cells that survived this treatment regimen
in vivo were no longer able to induce floating spheroids and holoclones,
whereas control and Abraxane-treated tumor cells induced a large number
of both. In addition, any complication in histopathology of different
mouse organs was observed and also there is no significant weight
change over the period of the treatment regimen.[137] NE-DHA-SB-T-1214 is currently in a late stage preclinical
development for IND filing, which will be done in the near future.
Conclusions
This account has summarized our approaches to
the successful discovery
and development of highly potent next-generation taxoids based on
SAR and systematic and logical drug design. These highly potent taxoids,
however, will not be useful as single agents for cancer chemotherapy,
but should be very promising for use as payloads for tumor-targeted
drug delivery systems, as well as for combination therapies. We have
described here an interesting history of a common pharmacophore concept
and proposal for several naturally occurring microtubule-stabilizing
anticancer agents. We witnessed the tricky nature of protein models
in crystallography and the importance of the use of native proteins
for the determination of protein-bound drug structures. Analyses of
the protein-bound paclitaxel structure models through solid-state
NMR studies and computational analysis have led to the design and
synthesis of excellent paclitaxel mimics with very good synthetic
challenges. We have found that the next-generation taxoids can promote
rapid tubulin polymerization and produce numerous shorter microtubules.
The analysis of thermodynamic parameters has revealed that the protein-binding
process of the next-generation taxoids should be very different from
that of paclitaxel. Some of the next-generation taxoids possess excellent
activity against CSCs and tumors initiated by CSCs in vivo. This activity
was found to be attributed to the ability of these taxoids to suppress
“stemness genes” and promote cell differentiation. Also,
next-generation taxoids have been found to have an ability to block
invasion and metastasis, as well as epithelial–mesenchymal
transition. Finally, we have described the development of efficacious
tumor-targeted drug delivery of taxoids based on tumor-targeting drug
conjugates as small molecules as well as macromolecules/nanoparticles,
including nanoemulsion formulations, which have a bright prospect
for clinical applications.
Authors: Iontcho R Vlahov; Hari Krishna R Santhapuram; Paul J Kleindl; Stephen J Howard; Katheryn M Stanford; Christopher P Leamon Journal: Bioorg Med Chem Lett Date: 2006-07-25 Impact factor: 2.823
Authors: W Mellado; N F Magri; D G Kingston; R Garcia-Arenas; G A Orr; S B Horwitz Journal: Biochem Biophys Res Commun Date: 1984-10-30 Impact factor: 3.575
Authors: Galina I Botchkina; Edison S Zuniga; Manisha Das; Yuan Wang; Hichao Wang; Shu Zhu; Anne G Savitt; Rebecca A Rowehl; Yan Leyfman; Jingfang Ju; Kenneth Shroyer; Iwao Ojima Journal: Mol Cancer Date: 2010-07-14 Impact factor: 27.401
Authors: Changwei Wang; Xin Wang; Yi Sun; Adam K Taouil; Su Yan; Galina I Botchkina; Iwao Ojima Journal: Bioorg Chem Date: 2019-12-20 Impact factor: 5.275