Jie Zhou1, Bing Xu1. 1. Department of Chemistry, Brandeis University, 415 South Street, Waltham, Massachusetts 02454, United States.
Abstract
The central dogma of the action of current anticancer drugs is that the drug tightly binds to its molecular target for inhibition. The reliance on tight ligand-receptor binding, however, is also the major root of drug resistance in cancer therapy. In this article, we highlight enzyme-instructed self-assembly (EISA)-the integration of enzymatic transformation and molecular self-assembly-as a multistep process for the development of cancer therapy. Using apoptosis as an example, we illustrate that the combination of enzymatic transformation and self-assembly, in fact, is an inherent feature of apoptosis. After the introduction of EISA of small molecules in the context of supramolecular hydrogelation, we describe several key studies to underscore the promises of EISA for developing cancer therapy. Particularly, we will highlight that EISA allows one to develop approaches to target "undruggable" targets or "untargetable" features of cancer cells and provides the opportunity for simultaneously interacting with multiple targets. We envision that EISA, used separately or in combination with current anticancer therapeutics, will ultimately lead to a paradigm shift for developing anticancer medicine that inhibit multiple hallmark capabilities of cancer.
The central dogma of the action of current anticancer drugs is that the drug tightly binds to its molecular target for inhibition. The reliance on tight ligand-receptor binding, however, is also the major root of drug resistance in cancer therapy. In this article, we highlight enzyme-instructed self-assembly (EISA)-the integration of enzymatic transformation and molecular self-assembly-as a multistep process for the development of cancer therapy. Using apoptosis as an example, we illustrate that the combination of enzymatic transformation and self-assembly, in fact, is an inherent feature of apoptosis. After the introduction of EISA of small molecules in the context of supramolecular hydrogelation, we describe several key studies to underscore the promises of EISA for developing cancer therapy. Particularly, we will highlight that EISA allows one to develop approaches to target "undruggable" targets or "untargetable" features of cancer cells and provides the opportunity for simultaneously interacting with multiple targets. We envision that EISA, used separately or in combination with current anticancer therapeutics, will ultimately lead to a paradigm shift for developing anticancer medicine that inhibit multiple hallmark capabilities of cancer.
Cancer remains a major challenge to public
health. The estimated
new cases and deaths from cancer in the United States in 2014 were
1,665,540 and 585,720, respectively.[1] Conventional
molecular therapy or chemotherapy, based on tight ligand–receptor
interactions or modification of nucleic acids, has been largely unable
to meet the challenges posed by the great complexity of cancer cells[2,3] that causes cancer drug resistance[2,4] and metastasis.[2,5] Despite the recent success in cancer immunotherapy,[6] only a fraction of cancerpatients are responsive to immunotherapy.[7] Thus, there has always been an urgent need to
develop innovative approaches for cancer therapy. Here we introduce
an emerging approach that promises new directions in anticancer therapy
by highlighting enzyme-instructed self-assembly (EISA)—the
integration of enzymatic transformation (ET) and self-assembly (SA)—as
a paradigm shift for the development of cancer therapy.This
perspective starts with a brief description of the major challenges
in current cancer therapy; then, apoptosis is used as an example to
illustrate that EISA, as a common theme conserved during evolution
of life, constitutes the inherent mechanisms of programmed cell death;
and after that, the development of EISA of small molecules is introduced
followed by the discussion of several key studies to illustrate the
concept of EISA for cancer therapy. A particular highlight is that
EISA allows one to develop approaches to target “undruggable”
targets or “untargetable” features of cancer cells and
provides opportunities for simultaneously interacting with multiple
targets. Finally, we suggest that EISA, used separately or in combination
with current anticancer therapeutics, will ultimately provide a paradigm
shift for developing anticancer medicines to target multiple hallmark
capabilities of cancer that are the major challenges in current cancer
therapy.
Ligand–Receptor Interactions in Drug Resistance
Anticancer drug resistance has been a major challenge in cancer
therapy. Considerable efforts have focused on overcoming drug resistance,
and the approaches largely fall into three categories: inhibiting
new targets (including multidrug-resistant (MDR) transporters), improving
drug specificity, or using combined therapeutics to reduce the odds
of resistance.[8−11] The outcome of these strategies, so far, has been disappointing.[12,13] These approaches aim to inhibit tumors by interrupting one or two
specific essential cellular processes or functions (e.g., DNA synthesis,
RNA synthesis, protein synthesis, or protein function),[14] which are insufficient due to a daunting range
of resistance mechanisms.[4] For example,
multiple inherent cellular mechanisms, such as up-regulating growth
factors or efflux transporters, the mutations of drug targets, and
increasing metabolic drug degradation,[15−18] work against the drugs that function
via ligand–receptor binding.[19] In
addition, tumor microenvironment,[20] genomic
instability,[21] intratumoral heterogeneity,[22] and the up-regulation of cell survival pathways
further evolve the great complexity of cancer. As pointed out by Weinberg
et al.[2] and illustrated in Figure 1, the cancer drugs aimed at a specific molecular
target (e.g., based on tight ligand–receptor interactions)
only result in a transitory clinical response that is (almost) always
followed by relapses. Thus, a new paradigm of anticancer therapy is
urgently needed.
Figure 1
Representative mechanisms of cancer drug resistance: (I)
plasma
proteins bind the drug to reduce its effectiveness; (II) efflux pump
decreases intracellular concentration of the drug; (III) mutations
in the binding site abolish the inhibitory effect of the drug; (IV)
redundant pathways alleviate the dependence of the cancer cell on
the original target; (V) genomic instability accelerates mutation;
(VI) tumor microenvironment provides prosurvival signals.
Representative mechanisms of cancer drug resistance: (I)
plasma
proteins bind the drug to reduce its effectiveness; (II) efflux pump
decreases intracellular concentration of the drug; (III) mutations
in the binding site abolish the inhibitory effect of the drug; (IV)
redundant pathways alleviate the dependence of the cancer cell on
the original target; (V) genomic instability accelerates mutation;
(VI) tumor microenvironment provides prosurvival signals.
EISA in Apoptosis
As one of the
most promising directions in cancer therapy in the
past decade, immunotherapy utilizes the immune system to treat certain
cancers and is able to achieve complete tumor regression in some cases.[23] Regardless of its subtypes (i.e., cell-based
therapies, antibody therapies, and cytokine therapies), immunotherapy
eliminates cancer cells based on (i) generic difference between cancer
and normal cells, that is, tumor cells carry cancer antigens, but
normal cells do not; (ii) immune system killing the tumor cells largely
by inducing apoptosis, that is, programmed cell death. While most
of the attention centers on the discovery of cancer specific antigens
and the development of the corresponding antibodies, an overlooked
fact is that EISA, as a multistep process, constitutes an inherent
feature of apoptosis (Figure 2). As part of
the intrinsic pathway of apoptosis, enzymatic transformation changes
the conformation of Apaf-1 to accommodate its interaction with cytochrome
c,[24] and the subsequent protein complex
self-assembles (a.k.a., aggregates) to form the apoptosome[25] as the necessary scaffold to result in cascade
events of cell death; during the extrinsically induced cell death,[26,27] enzymatic transformation generates certain ligands (e.g., TRAIL,
TNF, and CD95L),[28−30] which self-assemble (a.k.a., oligomerize) the cell
death receptors (e.g., TRAIL-R1/R2, TNFR1, and CD95) and initiate
the downstream signaling of apoptosis. These fundamental features
of apoptosis are not a simple “on or off” (or “live
or dead”) switch, but assume quantitative aspects of signaling
transduction, such as location, duration, thresholds, and amplitude.
These multistep processes not only are necessary for the precise and
effective killing of the targeted cells without causing side effects,
but also imply that EISA should be one of the strategies for developing
anticancer therapeutics that selectively kill cancer cells without
harming normal cells.
Figure 2
EISA—the integration of enzymatic transformation
(ET) and
self-assembly (SA)—as the inherent feature of apoptosis. That
is, enzymatic transformation generates (I) TRAIL to self-assemble
TRAIL-R1/R2 or (II) CD95L to self-assemble CD95 and initiate the downstream
signaling, including apoptosis; (III) enzymatic transformation changes
the conformation of Apaf-1 to bind with cytochrome c, and the protein
complex self-assembles to form the apoptosome, which results in cell
death.
EISA—the integration of enzymatic transformation
(ET) and
self-assembly (SA)—as the inherent feature of apoptosis. That
is, enzymatic transformation generates (I) TRAIL to self-assemble
TRAIL-R1/R2 or (II) CD95L to self-assemble CD95 and initiate the downstream
signaling, including apoptosis; (III) enzymatic transformation changes
the conformation of Apaf-1 to bind with cytochrome c, and the protein
complex self-assembles to form the apoptosome, which results in cell
death.
EISA of Small Molecules
As a ubiquitous
process in nature, self-assembly (or aggregation,
or clustering) plays numerous roles and underlies the formation of
a wide variety of biological complexes. For example, the self-assembly
of proteins into highly ordered structures is both central to normal
biology (e.g., the dynamics of cytoskeleton, such as microtubules)
and a dominant feature in disease (e.g., the formation of β-amyloid
in Alzheimer’s disease). The realization that enzymatic reactions
govern most of the self-assembly processes has fascinated and inspired
researchers to exploit Nature’s principles for studying and
developing the small molecular self-assembly process by enzymatic
transformation in the past decade. As shown in Figure 3A, in essence, enzymes initiate self-assembly by simply converting
a non-self-assembling precursor into a self-assembling molecule via
bond cleavage or formation. Such self-assembly of small molecules
usually results in the formation of supramolecular nanoscale assemblies
(e.g., nanofibers or nanoparticles) in water, and the nanoscale assemblies,
above a certain threshold concentration, entangle to form a network
and cause hydrogelation in most cases. Thus, the self-assembling molecule
usually acts as a hydrogelator.[31,32] Based on the above
principles and using a simple Fmoc-phosphotyrosine (1), we reported the first example of EISA of small molecules.[33] Specifically, we used alkaline phosphatase (ALP),
a component of the canonical kinase/phosphatase switch,[34] that is readily available and exhibits high
catalytic efficiency, as the enzyme to instruct molecular self-assembly.
As shown in Figure 3B, enzymatic dephosphorylation
by ALP converts the precursor (1) into its hydrogelator
(2), which, compared with 1, is more hydrophobic
and self-assembles to form nanofibers/hydrogel.[33] Yang et al. further explored this process by studying the
EISA of methylated form of 1 on its C-terminal and demonstrated
that EISA offers a sole mechanism to result in the corresponding hydrogel
made of methylated 2.[35]
Figure 3
(A) Schematic
illustration of EISA of small molecules in water
that usually results in supramolecular nanofibers/hydrogels. (B) Some
representative small molecules used for EISA.
The strategy that converts precursors to hydrogelators by enzymatic
transformation to induce self-assembly for the formation of supramolecular
nanofibers is not limited to phosphatases. For example, we reported
the use of matrix metalloprotease-9 (MMP-9) to instruct the self-assembly
of hydrogelators, which form nanofibers and result in a hydrogel.
Figure 3B illustrates the rational design of
the short peptide (FFFFCGLDD (3)), a substrate of MMP-9.
The pentapeptide, CGLDD, provides an enzyme cleavage site of MMP-9.
The removal of the hydrophilic LDD (5) from 3 generates a more hydrophobic amphiphile FFFFCG (4)
with balanced hydrophobic and hydrophilic interactions, which results
in a hydrogelator to self-assemble into supramolecular nanofibers
and afford a hydrogel.[36]Enzymatic
transformation to induce self-assembly for the formation
of supramolecular nanofibers is also applicable to certain d-peptides. d-Peptides, as the enantiomers of the naturally
occurring l-peptides, usually resist endogenous proteases
and are presumably insensitive to most enzymatic transformations.
We demonstrated that the chirality of the precursors derived from
a tetrapeptide hardly affects the ALP-instructed self-assembly resulting
from the removal of phosphate from a tyrosine phosphate residue.[37] This work, as a systematic study of supramolecular
hydrogelation by enzymatic dephosphorylation of ultrashort d-peptides, establishes a useful approach to generate supramolecular
hydrogels that have both biostability and desired functions.[38−40]Unlike phosphatases or MMPs, which break/hydrolyze a phosphoester
bond or a peptide bond, respectively, to instruct self-assembly, thermolysin
controls the self-assembly by catalyzing the formation of a covalent
bond between two substrates, as first demonstrated by Ulijn et al.[41] They reported the use of thermolysin for reverse
hydrolysis to produce amphiphilic peptide hydrogelators (6) that self-assemble to form nanofibers (Figure 3). This strategy has become a powerful approach to create
a dynamic library of small peptide from screening hydrogelators.(A) Schematic
illustration of EISA of small molecules in water
that usually results in supramolecular nanofibers/hydrogels. (B) Some
representative small molecules used for EISA.Because EISA can take place at physiological conditions,
its application
in biology and biomedicine is not surprising. Over the past decade,
an increased number of enzymes, which catalyze bond cleavage (e.g.,
β-lactamase,[42] esterase,[41,43−45] α-chymotrypsin,[46] thrombin,[47] or chymotrypsin[47]), bond formation (e.g., lipase,[48] microbial transglutaminase (MTGase),[49] thermolysin[41,43−45]), or substrate
oxidation (e.g., glucose oxidase,[50] peroxidase,[51−53] and tyrosinase[54]), have been used to
instruct the self-assembly of small molecules for a wide range of
applications (e.g., enzyme inhibitor screening[55] and biomineralization[56]). These
developments have largely benefited from gelation acting as a simple
assay to report molecular self-assembly in a solvent.[57,58] This unique feature of supramolecular gelation and the above investigations
have laid a solid molecular foundation for the exploration of EISA
to inhibit cancer cells.
EISA for Targeting Cancer Cells
Actually, besides being an intrinsic feature of apoptosis, the
concept of enzyme transformation has already found applications in
clinical medicine for converting prodrugs (e.g., cyclophosphamide,
fludarabine phosphate, and irinotecan) into drugs through a normal
metabolic process (e.g., hydrolysis of an ester bond).[59] In the case of self-assembly,[60] Svanborg et al. have made a seminal discovery[61] in which the protein aggregates formed by the
self-assembly of partially unfolded α-lactalbumin (HAMLET) induce
apoptosis of tumor cells via multiple mechanisms,[62−64] and have validated
this approach in a human trial for treating skin papillomas.[65] Wells et al. reported that the nanofibrils formed
by self-assembly of small molecules initiate apoptosis via multiple
mechanisms.[66−68] In terms of the EISA, we have demonstrated EISA to
inhibit tumor cells selectively in vitro and in vivo.[37,38,40,69−75] These studies suggest that EISA, as a multistep process (not a single
or several compounds), is an emerging and paradigm-shift approach
for developing cancer therapy. In the following, we highlight some
representative examples to illustrate the concept of EISA as an unprecedented
process for cancer therapy.We designed and developed 7 (a substrate of carboxylesterase)
as a precursor of hydrogelator (8).[69] As shown in Figure 4A, this precursor
(7) hardly self-assembles extracellularly, but is able
to enter cells. Once the precursor is inside cells, an endogenous
esterase converts it into a hydrogelator (8) that self-assembles
into nanofibers. The formation of nanofibers then induces hydrogelation,
which exerts stresses on the cell and causes cell death. Interestingly,
the precursor (7), being innocuous to mouse fibroblast
cells (NIH3T3) (Figure 4B), kills about 80%
of humancancer cells (HeLa) (Figure 4C) after
a two-day incubation. One plausible explanation would be the higher
expression of the esterase in HeLa cell than in NIH3T3 cell, which
is supported by a fluorescence assay of esterase in the cells.[69] Although other differences of these two cell
lines might also contribute to the apparent low toxicity of 7 against NIH3T3 cells, this result, unambiguously, indicates
that the use of enzymatic reaction (rather than enzyme inhibition)
to generate nanoscale assembly is specific to different types of cells,
and EISA of small molecules offers a fundamentally new way to control
the fate of cells,[76] including inhibiting
cancer cells.[69]
Figure 4
(A) Schematic illustration
of intracellular formation of nanofibers
that leads to hydrogelation and cell death. (B, C) Cell viability
(measured by MTT assay) of (B) NIH3T3 cells (a normal cell line) and
(C) HeLa cells (a cancer cell line) treated with 7 at
concentrations of 0.08, 0.04, and 0.02 wt % (Adapted from ref (69), Copyright 2007 WILEY-VCH
Verlag GmbH & Co. KGaA, Weinheim).
(A) Schematic illustration
of intracellular formation of nanofibers
that leads to hydrogelation and cell death. (B, C) Cell viability
(measured by MTT assay) of (B) NIH3T3 cells (a normal cell line) and
(C) HeLa cells (a cancer cell line) treated with 7 at
concentrations of 0.08, 0.04, and 0.02 wt % (Adapted from ref (69), Copyright 2007 WILEY-VCH
Verlag GmbH & Co. KGaA, Weinheim).Maruyama et al. recently reported an innovative approach
that uses
extracellular enzymes to instruct the intracellular self-assembly
of a peptide lipid, which also is a hydrogelator, to initiate cancer
cell death.[77] Specifically, the peptide
lipid precursor (9) undergoes enzymatic transformation
catalyzed by matrix metalloproteinase-7 (MMP-7) to produce a hydrogelator
(10), which is taken up by cancer cells. Once inside
the cells, the hydrogelator (10) self-assembles to form
nanofibers that critically impairs cellular function and induces death
of the cancer cells (Figure 5A). Using HeLa
cells as a model for humancancer cells and human dermal microvascular
endothelial cells (MvE cells) as a model for normal human cells, Maruyama
et al. evaluated the cell inhibitory effect of both the precursor
(9) and the hydrogelator (10) with live/dead
assay. They found that 9 kills most HeLa cells while
remaining innocuous to MvE cells, but 10 kills both HeLa
and MvE cells (Figure 5B). In addition, 9 also inhibits other cancer cells, such as A431, SKBR3, and
MCF-7 cells. These results indicate that the cytotoxicity of 9 is a result of the hydrolysis catalyzed by MMP-7, as confirmed
by the high correlation between the viability of various cell lines
in the presence of 9 and the amount of their MMP-7 secretion
(Figure 5C and D). Using the lysate of dead
cancer cells, the authors confirmed the nanofibers of 10. Based the observation that the same lysate forms a hydrogel and
exhibits thermoreversible gel–sol transition, the authors also
validate the intracellular hydrogelation. This work by Maruyama further
validates the concept of EISA for selectively killing cancer cells.
Figure 5
(A) Cancer
cell death induced by self-assembly of an enzyme-responsive
hydrogelator and molecular structures of ER-C16 (9),
G-C16 (10), and the peptide fragment. (B) Live/dead assays
of HeLa cells and MvE cells after incubation for 18 h with 9 (0.02 wt %) and 10 (0.02 wt %). (C) Viability assays
of cancer cells and normal human cells after incubation with 9 (0.025 wt %). (D) MMP-7 concentration in the culture media
after culturing the cells. PE represents primary human pancreatic
epithelial cells. (E) TEM observation of the lysate of the dead HeLa
cells. Inset is gelation test (inverted test tube) of the lysate of
HeLa cells that were killed by 9. Scale bars represent
100 nm. (Adapted from ref (77), Copyright 2015 American Chemical Society.)
(A) Cancer
cell death induced by self-assembly of an enzyme-responsive
hydrogelator and molecular structures of ER-C16 (9),
G-C16 (10), and the peptide fragment. (B) Live/dead assays
of HeLa cells and MvE cells after incubation for 18 h with 9 (0.02 wt %) and 10 (0.02 wt %). (C) Viability assays
of cancer cells and normal human cells after incubation with 9 (0.025 wt %). (D) MMP-7 concentration in the culture media
after culturing the cells. PE represents primary humanpancreatic
epithelial cells. (E) TEM observation of the lysate of the dead HeLa
cells. Inset is gelation test (inverted test tube) of the lysate of
HeLa cells that were killed by 9. Scale bars represent
100 nm. (Adapted from ref (77), Copyright 2015 American Chemical Society.)While the concept of intracellular supramolecular
nanofibers formed
by EISA is receiving increased exploration,[37,78−80] we unexpectedly observed that EISA leads to selective
inhibition of cancer cells by forming the pericellular nanofibers.[38] Briefly, ectophosphatase (i.e. placental alkaline
phosphatase (ALPP)) overexpressed on the cell surface of certain cancers
(e.g., cervical, ovarian, stomach, endometrial, and testis[81]) catalytically dephosphorylates a derivative
of ultrashort d-peptide (11) to form a hydrogelator
(12); the accumulation of the hydrogelators results in
a network of nanofibers as the matrices of a hydrogel in pericellular
space, which block cellular uptake and mass exchanges, and induce
cell apoptosis (Figure 6A).[38] Most importantly, this d-peptide precursor (11) selectively kills cancer cells (e.g., HeLa, MES-SA, MES-SA/Dx5)
due to the overexpression of ectophosphatases by the cancer cells
(Figure 6B). Due to the overexpression of the
ectophosphatases, the formation of nanofibers/hydrogels in pericellular
space of cancer cells (i.e., HeLa cells; Figure 6C) occurs fast and locally (e.g., 4 h). Using Congo red, a dye for
nanofibrils,[82] together with TEM, we confirmed
that the nanofibers of 12 act as the nanonets on the
cell surface, which even prevent DAPI (a small nucleus dye) from entering
cell (Figure 6D,E). The observation that incubating
HeLa cells with 11 or 12 at the same concentration
(200 μg/mL) gives apparently counterintuitive results—11 significantly inhibits the HeLa cells, while 12 remains innocuous (Figure 6F)—indicates
that it is EISA of 12 that results in cell inhibition.
Moreover, the addition of l-phenylalanine (l-Phe),
an uncompetitive inhibitor of ALPP[83] stops
the dephosphorylation and abrogates the inhibitory activity of 11 (Figure 6E),[40] confirming that ALPP, as the ectophosphatase, dephosphorylates 11 to result in the self-assembly of 12 on cell
surface to inhibit the HeLa cells (Figure 6A). Moreover, the unassembled 12 (even at the same concentration
as 11) hardly inhibit the cells, confirming that 12, as a monomer, is innocuous to cells.[38] This work demonstrates an unexpected yet fundamentally
new mechanism to selectively inhibit cancer cells via ectoenzyme-instructed
self-assembly of small molecules.
Figure 6
(A) ALPP-instructed formation of nanofibers
of 12 on
the cell surface inhibits the cancer cells, but 12, as
the soluble monomer, is innocuous to cells. (B) Cell viabilities of
HeLa (H), Ect1/E6E7 (E), MES-SA (M), and MES-SA/Dx5 (MD) cells treated
217 μg/mL of 11 for 48 h. (C) Optical image and
(D) 3D stacked Z-scan fluorescent images of Congo red stained nanofibers/hydrogels
on HeLa cells incubated with 11 (400 μg/mL). (E)
TEM images of the nanofibers of 12 on the cells (scale
bar = 100 nm). (F) Cell viabilities of HeLa treated by 11 or 12 at 200 μg/mL, or 11 (217 μg/mL)
plus l-Phe (54 μg/mL) for 48 h (Adapted from ref (38), Copyright 2014 WILEY-VCH
Verlag GmbH & Co. KGaA, Weinheim; and ref (40), Copyright 2014 American
Chemical Society).
(A) ALPP-instructed formation of nanofibers
of 12 on
the cell surface inhibits the cancer cells, but 12, as
the soluble monomer, is innocuous to cells. (B) Cell viabilities of
HeLa (H), Ect1/E6E7 (E), MES-SA (M), and MES-SA/Dx5 (MD) cells treated
217 μg/mL of 11 for 48 h. (C) Optical image and
(D) 3D stacked Z-scan fluorescent images of Congo red stained nanofibers/hydrogels
on HeLa cells incubated with 11 (400 μg/mL). (E)
TEM images of the nanofibers of 12 on the cells (scale
bar = 100 nm). (F) Cell viabilities of HeLa treated by 11 or 12 at 200 μg/mL, or 11 (217 μg/mL)
plus l-Phe (54 μg/mL) for 48 h (Adapted from ref (38), Copyright 2014 WILEY-VCH
Verlag GmbH & Co. KGaA, Weinheim; and ref (40), Copyright 2014 American
Chemical Society).In another work, we examined
the cellular response to the EISA
using the derivatives of 11, which are derived from systematically
replacing d-amino acid in 11 by l-amino
acid.[40] Importantly, we confirmed that
ALPP, as the ectoenzyme, converts the precursors to the hydrogelators
to inhibit cancer cells. Moreover, these precursors exhibit completely
different cytotoxicity from those of the hydrogelators, which indicates
that EISA is a general process for different substrates of ALPP. This
generality is further validated by the following two cases.Pires and Ulijn et al. recently presented an aromatic carbohydrate
amphiphile (N-(fluorenylmethoxycarbonyl)-glucosamine-6-phosphate (13)), as an alternative substrate of phosphatase for EISA.[84] They demonstrated that a simple carbohydratephosphate derivative (13) can be converted into the self-assembling
hydrogelator 14 in situ by membrane-bound ALP, which
are highly expressed on the osteosarcoma cells (SaOs2 cells). Upon
conversion, 14 forms nanofibers/hydrogel surrounding
the cells, which induces cytotoxicity. They also proved that this
process is cell specific, as another type of cells (e.g., ATDC5) with
lower level membrane-bound ALP is not affected by the addition of 13 (Figure 7A). As shown in Figure 7B, while the presence of 13 hardly
affects the metabolic activity of ATDC5 cell, it drastically decreases
the metabolic activity of SaOs2 cells. By quantifying both membrane-bound
and extracellular ALP in SaOs2 and ATDC5 cells cultures, they found
that membrane bound ALP has 15–20 times higher value and extracellular
ALP has 1.5–2 times higher value for SaOs2 compared to those
of ATCD5, indicating that membrane bound ALP is mainly responsible
for the cytotoxicity of 13 (Figure 7C). In addition, they also confirmed that the conversion of 13 to 14 by SaOs2 cells results in pericellular
nanonets (Figure 7E), while these nanonets
are absent without the addition of 13 (Figure 7D). The successful use of carbohydrate derivatives
on osteosarcoma cells, undoubtedly, promises new possibilities for
developing new cancer therapeutics based on EISA.
Figure 7
(A) Illustration of enzymatic
transformation of 13 to 14 catalyzed by
phosphatases (e.g., ALP). (B) Metabolic
activity of SaOs2 and ATDC5 monolayer cultures in the presence of
different concentrations of 13 for 7 h (control 0 mM,
0.5 mM, and 1 mM), without (−I) and with (+I) phosphatase inhibitors.
(C) Activity of the membrane bound and extracellular ALP in the SaOs2
and ATDC5 cell cultures as a function of the concentration of 13. Quantification at 7 h of cell culture. (D, E) SEM images
of SaOs2 cells, cultured during 7 h, in the (D) absence and (E) presence
of 13 (0.5 mM). (Adapted from ref (84), Copyright 2014 American
Chemical Society.)
(A) Illustration of enzymatic
transformation of 13 to 14 catalyzed by
phosphatases (e.g., ALP). (B) Metabolic
activity of SaOs2 and ATDC5 monolayer cultures in the presence of
different concentrations of 13 for 7 h (control 0 mM,
0.5 mM, and 1 mM), without (−I) and with (+I) phosphatase inhibitors.
(C) Activity of the membrane bound and extracellular ALP in the SaOs2
and ATDC5 cell cultures as a function of the concentration of 13. Quantification at 7 h of cell culture. (D, E) SEM images
of SaOs2 cells, cultured during 7 h, in the (D) absence and (E) presence
of 13 (0.5 mM). (Adapted from ref (84), Copyright 2014 American
Chemical Society.)We also successfully
applied the concept of EISA on other self-assembling
entities, such as nanoparticles.[73] By decorating
commercially available iron oxide nanoparticles with a simple amino
acid, d-tyrosine phosphate, we obtained d-tyrosine
phosphate modified magnetic nanoparticles (15). The overexpressed
ALPP on cancer cells converts 15 to 16,
causing 16 to assemble and adhere on the cancer cells.
This EISA process enables magnetic separation of cancer cells from
mixed population of cells (i.e., cocultured cancer cell (HeLa-GFP)
and stromal cells (HS-5)) (Figure 8A). Figure 8B confirms the selectivity of 15 toward
cancer cells, because after the cells (i.e., GFP-HeLa and HS-5, respectively)
were incubated with 15 and subjected to magnetic sorting,
the extraction only contains HeLa-GFP cells. Moreover, we found that
enzymatic transformation is essential since the nanoparticles of 16 alone fail to sort the cancer cell from the coculture.
Figure 8C shows cell capture efficiency of 15 toward GFP-HeLa, HS-5, and coculture of these two cells.
Based on the proliferation rate of GFP-HeLa and HS-5 cells, we estimated
that this method separates over 90% of cancer cells from the coculture.
In addition, using a vibrating sample magnetometer (VSM) to quantify
the amount of 15 remaining on the cells, we found that
more than 63% of nanoparticles adhere to the HeLa-GFP in the culture
of homogeneous GFP-HeLa culture or the coculture of GFP-HeLa and HS-5.
Although there are few control iron oxide nanoparticles remaining
on the surface of either cell (Figure 8D),
all these results indicate that enzymatic transformation of 15 by overexpressed ALPP at the surface of cancer cells, not 16 itself, confers the magnetic separation. Besides selectively
capturing cancer cells in the coculture, 15 also selectively
inhibits the proliferation of HeLa-GFP cells (Figure 8E) with the IC50 of 12 μg/mL and IC90 of ∼40 μg/mL in cell viability assay. This work suggests
that EISA of magnetic nanoparticles can selectively sort and inhibit
cancer cells without involving specific ligand–receptor interactions
or the use of antibodies.[73] It is noteworthy
that the IC50 of magnetic nanoparticles is already an order
of magnitude lower than those of the small molecule precursors (11 and 13). This observation suggests that the
introduction of multivalency to the self-assembling small molecules
may enhance the potency of EISA, which remains to be explored.
Figure 8
(A) EISA of
magnetic nanoparticles for selectively sorting cancer
cells. (B) Overlaid bright field and fluorescent microscopy images
of the HeLa-GFP cells (top) and HS-5 cells (bottom) magnetically captured
by incubating the cells with 15 (left) and 16 (right). The scale bar is 100 μm. (C) Relative amounts of
cells (%) in the extraction or supernatant of all the cells collected
after the treatment by 40 μg/mL 15 and the magnetic
capture. (D) Relative amounts of nanoparticles remaining on the cells.
(E) Relative cell viability of coculture of HeLa-GFP and HS-5 cells,
HeLa-GFP cells, and HS-5 cells incubated with 15 at the
concentrations of 4 and 40 μg/mL. The initial number of cells
is 1.0 × 104/well (Adapted from ref (73), Copyright 2014 American
Chemical Society).
(A) EISA of
magnetic nanoparticles for selectively sorting cancer
cells. (B) Overlaid bright field and fluorescent microscopy images
of the HeLa-GFP cells (top) and HS-5 cells (bottom) magnetically captured
by incubating the cells with 15 (left) and 16 (right). The scale bar is 100 μm. (C) Relative amounts of
cells (%) in the extraction or supernatant of all the cells collected
after the treatment by 40 μg/mL 15 and the magnetic
capture. (D) Relative amounts of nanoparticles remaining on the cells.
(E) Relative cell viability of coculture of HeLa-GFP and HS-5 cells,
HeLa-GFP cells, and HS-5 cells incubated with 15 at the
concentrations of 4 and 40 μg/mL. The initial number of cells
is 1.0 × 104/well (Adapted from ref (73), Copyright 2014 American
Chemical Society).Besides the representative
examples above, there are increased
reports on the use of enzymatic transformation and/or self-assembly
to inhibit cancer cells or image cancer cells. For example, the self-assembly
of a small diphenylalanine derivative accumulates selectively in cancer
cells to form intracellular nanofibers that promiscuously interact
with tubulins, actins, and vimentins to impede cytoskeleton dynamics.[72] These promiscuous interactions are able to inhibit
the growth of glioblastoma cells, but not neuronal cells.[72,75] Recently, Zheng et al. reported the self-assembly of a porphyrin
derivative to form liposomes and exhibit high efficiency for photodynamic
therapy.[85] Moreover, EISA to form the nanofibers
of peptide derivatives, especially biostable d-peptides,
prevents the diffusion and sometimes the degradation of the fluorescent
probes, thus achieving high spatiotemporal resolution.[37,78−80,86−90] In addition to multiple choices of enzymes, another unique advantage
of EISA is that this methodology is not limited to peptides and their
derivatives. The hybrid of different molecular building blocks (e.g.,
amino acids, nucleobases, carbohydrates, and many other motifs) can
also result in nanofibers/hydrogel via enzymatic transformation, providing
that there are sufficient intermolecular interactions.[74,91−93] In addition to in vitro inhibition, our preliminary
results indicate that the EISA of 11 also inhibit xenograft
tumor of drug-resistant cell lines in vivo, further confirming EISA
as a promising approach to potential cancer therapy.The ALPP-instructed
self-assembly to inhibit cancer cells is particularly
revealing. ALPP has been identified as a cancer biomarker by Fishman
over 50 years ago,[94] but the monitoring
of ALPP in human serum for detecting cancer has been unable to achieve
high accuracy because ALPP is an ectoenzyme. Recent proteomic study
reveals that the overexpression of ALPP is a generic difference between
cancer and normal tissues.[81,94] But the development
of the inhibitors of ALPP and other phosphatases has been largely
unsuccessful due to the poor selectivity of the inhibitors and the
physiological importance of phosphatases. Thus, phosphatases have
earned the reputation of “undruggable” enzymes.[95] Using the combination of enzymatic transformation
and self-assembly, we and others demonstrated that the overexpression
of ALPP (or membrane-bound ALP) can be targeted via EISA.[38,84] The principle established in these works may find applications to
target other “undruggable” targets or “untargetable”
features of cancer cells.
Future Perspective
The merits of
EISA as mentioned in this Review promise it to be
a paradigm-shift approach for potential cancer therapy. As the case
of nanofibers shown in Figure 9, EISA to generate
pericellular and intracellular supramolecular nanofibers (or aggregates)
can effectively modulate the pericellular and intracellular microenvironments,
respectively. The intracellular nanofibers have large sizes to disfavor
efflux, to interrupt protein interaction networks, and to block multiple
cellular pathways,[72] thus preventing cell
survival via efflux pumps and evolutionary redundancy. The pericellular
nanofibers entrap and isolate cancer cells to disrupt the microenvironment
of cancer cells globally, and thus should directly block intercellular
communications between cancer cells and the stromal cells, inhibit
cancer cells, and prevent metastasis. Differing from the conventional
approaches of enzyme inhibition, the use of enzyme catalysis to convert
innocuous small molecules to cancer-inhibiting supramolecular nanofibers
is unlikely to cause selective pressures for mutation, thus avoiding
acquired drug resistance. Using the strategy of enzymatic transformation,
the self-assembly/aggregation only occurs and elicits its desired
functions/effects at a specific location where the enzyme of interest
is overexpressed. This feature helps reduce side effects and improves
selectivity—one of the reasons that EISA is superior to the
direct use of the assemblies or aggregates of proteins[61] or small molecules.[66] Moreover, because of their supramolecular nature (i.e., formed by
noncovalent interaction), the nanofibers can easily dissociate to
innocuous monomers again after killing the cancer cells. This unique
transitory feature is fundamentally different from conventional chemotherapy
agents (e.g., cisplatin), thus greatly reducing or eliminating the
systemic toxic effects in comparison to conventional cancer therapy.
Figure 9
Plausible
actions of the EISA to inhibit cancer cells: (I) interacting
with multiple proteins to interrupt multiple proliferation processes
and (II) interfering with redundant pathways, (III) eluding efflux
pump, and (IV) blocking cellular mass exchange, prosurvival signals,
and metastasis.
Plausible
actions of the EISA to inhibit cancer cells: (I) interacting
with multiple proteins to interrupt multiple proliferation processes
and (II) interfering with redundant pathways, (III) eluding efflux
pump, and (IV) blocking cellular mass exchange, prosurvival signals,
and metastasis.EISA holds great promise,
especially in the context of engineering
cell death signals for selectively killing cancer cells via apoptosis.[96] Table 1 compares some
inherent features in apoptosis and EISA that are being explored for
potential cancer therapy. One fundamental conceptual advance in the
study of apoptosis,[97] especially in the
tumor necrosis factor (TNF) superfamily of ligands and receptors,
is that, even with the same ligand, paracrine and juxtacrine signaling
may result paradoxical phenotypes. For example, transmembrane CD95L
(as a juxtacrine) is proinflammatory, but soluble CD95L (as a paracrine)
inhibits inflammation.[98] In fact, the interaction
between the cells and the self-assembled nanofibers resembles more
juxtacrine than paracrine signaling; thus, the use of ectoenzymes[99] of cancer cells to generate pericellular nanofibers
(or aggregates) with spatiotemporal control offers a unique way to
selective inhibit cancer cells. In that sense, supramolecular nanofibers
of small molecules are a new class of signaling entities, and we propose
to term them “pseudocrines” to reflect that they differ
fundamentally from the prodrugs/drugs.
Table 1
Comparison
of Some Key Components
and Steps of Apoptosis and EISA
apoptosis
EISA
locations
intrinsic
extrinsic
intracellular
pericellular
enzymes
Apaf-1[24]
ADAM10[28]
MMP14[29]
ADAM17[30]
CES1[69]
MMP-7[77]
ALPP[38,40,73,84]
substrates
dATP
mCD95L
mTRAIL
proTNF
7
9
11, 13, 15
products
dADP
CD95L
TRAIL
TNF
8
10
12, 14, 16
assemblies
apoptosomes
oligomers of death
receptors
nanofibers
of 8
nanofibers of 10
nanofibers of 12 or 14; aggregates of 16
Clearly, the use of EISA to generate pseudocrines
for modulating
cellular growth is just at its very beginning. There are still many
challenges to develop EISA of small molecules for cancer therapy,
but they will likely be met in the near future because of the rapid
advancements in many other fields of science. For example, there is
limited knowledge of the enzymes overexpressed on or in cancer cells.
Encourgingly, the information accumulated in proteomics research is
filling this gap.[81] There are few methods
and techniques readily available for studying the mechanisms of the
EISA for selectively inhibiting cancer cells, though they significantly
depart from the conventional chemotherapy and immunotherapy. However,
the fast development of biomedical research agents is offering more
reliable and convenient assays for the mechanistic elucidation. Although
currently it is difficult to interrogate the atomistic structures
of the polymorphic supramolecular nanofibers (or aggregates) formed
by the self-assembling small molecules, the advancement of cryo-TEM[100] and X-ray crystallography[101] likely will come to the rescue. Despite the protocols for
identifying the protein targets of the supramolecular nanofibers[102,103] still being imperfect, the improvement of top-down mass spectrometry[104] will help address this issue. The concentration
required to inhibit cancer cells is still high, but the optimal balance
among EISA, ligand–receptor interactions, and multivalency
likely will provide a solution to this problem.Therefore, EISA
holds great potential, and the further exploration
of this multiple step process, by addressing the above challenges,
will eventually open up new directions for developing anticancer therapy
to address the immense complexity of cancer. Moreover, considering
that the self-assembly (or aggregation) of small molecules is such
a prevalent phenomenon and more important[66,105−110] than one thought, we expect that the development of EISA will go
beyond cancer therapy, and find applications in fields of molecular
imaging,[86] antibacterial medicine,[42,76] immunomodulation,[111−115] wound healing,[116,117] neurodegenerative diseases,[118] tissue regeneration,[119,120] and signaling transduction.[121] Most importantly,
the concept of EISA departs from the dogma of “lock and key”.
The paradigm shift from a pair of molecules (i.e.,
inhibitor/enzyme or ligand/receptor) to an integrated multiple step process (i.e., enzymatic reaction, molecular aggregation,
and promiscuous interactions) promises solutions to many unsolved
problems in biological and medical science.
Authors: Goli Samimi; Roohangiz Safaei; Kuniyuki Katano; Alison K Holzer; Myriam Rochdi; Mika Tomioka; Murray Goodman; Stephen B Howell Journal: Clin Cancer Res Date: 2004-07-15 Impact factor: 12.531
Authors: Alexandra Brito; Patrícia M R Pereira; Rui L Reis; Rein V Ulijn; Jason S Lewis; Ricardo A Pires; Iva Pashkuleva Journal: Nanoscale Date: 2020-10-01 Impact factor: 7.790