Antonino N Fallica1, Valeria Pittalà1, Maria N Modica1, Loredana Salerno1, Giuseppe Romeo1, Agostino Marrazzo1, Mohamed A Helal2,3, Sebastiano Intagliata1. 1. Department of Drug and Health Sciences, University of Catania, Viale A. Doria 6, 95125 Catania, Italy. 2. University of Science and Technology, Biomedical Sciences Program, Zewail City of Science and Technology, October Gardens, sixth of October, Giza 12578, Egypt. 3. Medicinal Chemistry Department, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt.
Abstract
Since their discovery as distinct receptor proteins, the specific physiopathological role of sigma receptors (σRs) has been deeply investigated. It has been reported that these proteins, classified into two subtypes indicated as σ1 and σ2, might play a pivotal role in cancer growth, cell proliferation, and tumor aggressiveness. As a result, the development of selective σR ligands with potential antitumor properties attracted significant attention as an emerging theme in cancer research. This perspective deals with the recent advances of σR ligands as novel cytotoxic agents, covering articles published between 2010 and 2020. An up-to-date description of the medicinal chemistry of selective σ1R and σ2R ligands with antiproliferative and cytotoxic activities has been provided, including major pharmacophore models and comprehensive structure-activity relationships for each main class of σR ligands.
Since their discovery as distinct receptor proteins, the specific physiopathological role of sigma receptors (σRs) has been deeply investigated. It has been reported that these proteins, classified into two subtypes indicated as σ1 and σ2, might play a pivotal role in cancer growth, cell proliferation, and tumor aggressiveness. As a result, the development of selective σR ligands with potential antitumor properties attracted significant attention as an emerging theme in cancer research. This perspective deals with the recent advances of σR ligands as novel cytotoxic agents, covering articles published between 2010 and 2020. An up-to-date description of the medicinal chemistry of selective σ1R and σ2R ligands with antiproliferative and cytotoxic activities has been provided, including major pharmacophore models and comprehensive structure-activity relationships for each main class of σR ligands.
Cancer is a severe health
concern, and it is the second leading
cause of death globally.[1] According to
a World Health Organization report (2020), the global cancer burden
is significant and increasing, with an estimated 9.6 million deaths
worldwide from cancer in 2018. About 300,000 new cases per year have
been diagnosed among children aged 0–19 years, while the calculated
total annual cost of cancer in 2010 was more than US $1 trillion worldwide.
Usually, treatment options include chemotherapy, radiotherapy, and
surgery. Frequently, the toxicity of large doses of chemotherapy and
the lack of effectiveness in certain tumors make surgery and radiotherapy
the preferred options. By definition, anticancer drugs target rapidly
multiplying cells, leading to variable toxicities to the gastrointestinal
tract, bone marrow, hair follicles, and gonads. Hematological toxicity
manifests as acute cytopenia due to the cytotoxic effect on the hematopoietic
precursor cells. The gastrointestinal toxicity, nausea, vomiting,
and anorexia is usually a physiological reflex to remove toxic substances
from the gastrointestinal tract. Nausea is a widespread side effect
among chemotherapeutic agents and entails 5-HT3 antagonists
such as ondansetron in several situations. Another common toxicity
is hair follicle damage which represents both physiological and psychological
burdens for the patients. Alopecia usually develops due to the cytotoxic
effect of the drug on the rapidly dividing hair follicles. Finally,
neurotoxicity can occur with drugs that cross the blood–brain
barrier, such as vincristine, 5-fluorouracil, thiotepa, and cisplatin.
Some other agents can cause peripheral neuropathy, such as paclitaxel
and carboplatin. Besides, several factors may affect the effectiveness
of the chemotherapy regimen, including early intracellular drug inactivation,
overexpression of drug efflux pumps, low drug uptake, or dysregulation
of specific intracellular signaling pathways targeted by the therapeutic
drugs. Despite the striking results obtained by tumor immunotherapy
and nanomedicine,[2,3] several issues still need to be
overcome. These factors emphasize the need to identify and validate
alternative biological targets mainly detectable in tumor cells and
develop novel anticancer agents with enhanced efficacy, safety profile,
and compliance.[4,5]Sigma receptors (σRs)
are considered promising targets for
treating different heterogeneous medical conditions, including cancer.[6−8] The history of σRs began in the early 1970s when Martin et
al. proposed the involvement of a subtype of the opioid receptor family,
named the “σ-opioid” receptors, in the psychotomimetic
effects caused by the putative opioid agonist N-allylnormetazocine
derivative (±)-SKF-10,047 in the spinal dog model.[9,10] However, later on, the binding site within this protein, whose gene
sequence was cloned by Su and colleagues,[11] was unresponsive to naloxone and naltrexone, suggesting the distinction
of this type of protein from opioid receptors. In the following years,
SKF-10,047 was found to interact with many biological targets, adding
confusion about the classification of σRs.[12,13] Further studies on this compound determined that it could not be
completely displaced from its receptor using selective opioid ligands,
indicating that it was bound to another distinct receptor. More specifically,
racemic SKF-10,047 has the ability to produce algesia and psychotomimetic
effects in humans. The analgesic effect is believed to be mediated
through the action of (−)-SKF-10,047 on the μ and k opioid receptors. Conversely, it was found that (+)-SKF-10,047
binds with very low affinity to both opioid receptors, and its pharmacological
action is mediated through a different site.[14] This other site has since been designated as the σR.[15] Further studies proved that σRs are a
non-opioid, non-GPCR transmembrane protein expressed mainly in the
endoplasmic reticulum (ER) membrane and physically associated with
the mitochondria.[16] σRs act as chaperone
proteins that interfere with ion-channels and GPCR receptors activity
modulating several physiological pathways through ER stress and control
of intracellular Ca2+ homeostasis.[17] Ultimately, σRs have been classified into two subtypes, σ1 and σ2 receptors, depending on their biological
actions, distribution, sizes, and other factors.[8]It was only in 1996 that the gene sequence of σ1R has been cloned by Hanneret al.[18] and
was found to be expressed in various tissues inside and outside the
CNS. The σ1R subtype has been cloned from many species,
including mice, rats, guinea pigs, and humans. It is a 223 amino acid
protein with a molecular weight of about 24 kDa. σ1Rs are widely distributed in several tissues, and they are present
in the brain, spinal cord, and peripheral nerves.[19] A breakthrough occurred in 2016 with the publication of
the three-dimensional (3D) crystal structure of the human σ1R by Schmidt and co-workers.[20] The
reported structures showed a trimeric architecture formed by the association
of three identical protomers possessing a single transmembrane domain
(Figure A).[20] So far, five different crystal structures of
the σ1R in complex with historical σ1R ligands (i.e., (+)-pentazocine, haloperidol, NE-100, PD144418,
and 4-IBP) have been reported,[20,21] which have revealed
a preserved ligand’s binding mode with high similarity shared
by different chemical classes. Notably, the ligand-binding site is
deeply located inside the large β-barrel region where ligands
are accommodated in a very hydrophobic pocket entirely occluded from
solvent molecules.
Figure 1
(A) Cartoon representation of the σ1R
crystal
structure (PDB ID: 5HK1); each color outlines a distinguished σ1R protomer
which forms the σ1R trimer. (B) 2D and 3D representation
of protein–ligand interactions of the σ1R
with PD144418 (PDB ID: 5HK1). The ionic bond between the basic nitrogen of PD144418
and the Glu172 amino acid residue is shown as a dashed yellow line.
(A) Cartoon representation of the σ1R
crystal
structure (PDB ID: 5HK1); each color outlines a distinguished σ1R protomer
which forms the σ1R trimer. (B) 2D and 3D representation
of protein–ligand interactions of the σ1R
with PD144418 (PDB ID: 5HK1). The ionic bond between the basic nitrogen of PD144418
and the Glu172 amino acid residue is shown as a dashed yellow line.Analysis of the protein–ligand contacts
outlines a major
ionic bond involving the basic nitrogen of the σ1R ligand (e.g., PD144418, Figure B) and the Glu172 amino acid residue as well as multiple
hydrophobic interactions with bulky hydrophobic residues (i.e., Val84,
Trp89, Met93, Tyr103) that shape the internal edge of the binding
pocket.Growing evidence implicates the σ1R
in various
neurological disorders such as depression, anxiety, schizophrenia,
and Alzheimer’s disease.[22] Recent
studies suggest that σ1R modulators possess the therapeutic
potential to treat drug abuse.[23] Interestingly,
recent studies have investigated the repurposing of σ1R ligands for interfering with the early stages of severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) replication. This approach was
inspired by the colocalization of σ1R with the viral
replicase protein in the ER membrane and its interaction with the
nonstructural SARS-CoV-2 protein Nsp6.[24,25] Nowadays,
the oncogenic role of σ1Rs has not been fully elucidated.
It is known that this protein is overexpressed in a wide number of
cancer cell lines and σ1Rs fully functional activity
is required for proper growth, proliferation, migration, and survival
of cancer cells. The use of σ1R negative modulators,
often considered as “σ1R antagonists”,
or σ1 gene silencing through the application of RNAi
hampertumor cell growth and survival.[6] Contrarily, the overexpression of σ1Rs through
recombinant techniques or the σ1Rs positive modulation
exerted by selective small molecules, often considered as “σ1R agonists”, causes opposite effects.[6]Unlike the σ1R, up to now, the crystal
structure
of the σ2R is still unknown. The difficulty of its
isolation and purification is mainly due to its distribution in the
lipid environment and its low abundance in the prepared mammalian
membranes.[12] The genetic identity of the
σ2R was revealed recently in 2017 when Alon et al.
used classical affinity purification approaches to isolate the σ2R binding site and characterized it as the (ER)-resident membrane
protein, transmembrane protein 97 (TMEM97), with a molecular weight
of about 18–21.5 kDa (frequently referred to as σ2R/TMEM97).[26] In 2011, Xu and co-workers
reported that progesterone membrane binding component-1 (PGRMC1) could
bind to σ2R, altering the pharmacological properties
of its ligands.[27] More recently Mach and
collaborators from the University of Pennsylvania, using a gene-editing
approach, demonstrated that TMEM97 and PGRMC1 could form a ternary
complex with the low density lipoprotein (LDL) receptor leading to
a much-increased LDL internalization.[28] This observation, confirmed by confocal microscopy and radioligand
binding studies, indicated the involvement of σ2R/TMEM97
in lipoprotein trafficking and could rationalize the upregulation
of σ2Rs in certain types of cancer cells.[45]The recent discovery of the identity of
the σ2R rationalizes the search for small molecules
with potential neuroprotective,[29] antinociceptive,[30] and antiproliferative effects.[31] Concerning
the role of σ2Rs in the context of cancer, different
pharmacological studies have proved that the σ2R
is overexpressed in cancer cells, and its abundance is correlated
with the proliferative status of certain tumors.[32] Furthermore, in addition to the diagnostic imaging application,
σ2R ligands have shown cytotoxic effects in tumor
cells in vitro and in vivo.[33−36] A better elucidation of the implication of σ2Rs
in tumor cell death was reported in 2019 by Zeng and co-workers, which
conducted CRISPR/Cas9 studies to assess the cytotoxic properties of
σ2R ligands in TMEM97 knockout (KO), PGRMC1KO, or
TMEM97/PGRMC1 double KO cell lines.[37] Results
showed that induction of cell death by σ2R ligands
was not hampered, suggesting that the cytotoxic effects are not directly
mediated by TMEM97 or PGRMC1, thus questioning the exact cytotoxic
mechanism exerted by σ2R ligands.Following
the differentiation of the two σR subtypes, tremendous
efforts were directed toward developing selective ligands for each
subtype. (+)-Pentazocine (Figure ), the first σ1R selective ligand,
exhibited 500-fold selectivity (σ2Ki/σ1Ki) over
the σ2R receptor.[38] Also,
the 1,2,4-triazole derivative E-5842 (Figure ) showed a Ki value of 4 nM for the σ1R and 55-fold selectivity.[39] Later, a dipropylamine derivative named NE-100
(Figure ) was reported
to have a high affinity for the σ1R and moderate
selectivity over the σ2R.[40] Haloperidol (Figure ) is a butyrophenone derivative belonging to the drug class of neuroleptics,
mainly acting as a D2 antagonist. For many years, haloperidol
has been used as a reference σ1R antagonist, and
it represents a classic σR ligand prototype. Its antagonist
profile toward the σ1R was discovered more than 20
years ago, along with its in vitro and in
vivo anticancer properties toward several cancer types.[41−47] In 2011, Schlägeret al. reported a series of spirocyclicpyranopyrazoles with high σ1R affinity and selectivity
toward the σ2R, α1, α2, 5-HT1AR, and the 5-HT-transporter.[48] Two chemically and pharmacologically distinct
high-affinity σ1R ligands named 4-IBP (agonist or
inverse agonist) and PD144418 (antagonist) were used to obtain the
above-mentioned first crystal structures of the human σ1R (Figure ).[49,50]
Figure 2
Selected historic and representative σR
ligands.
Selected historic and representative σR
ligands.Compound CB-184 (Figure ) was the first reported highly
selective σ2R ligand back in 1995 by Bowen and co-workers.[51] This compound was followed by several other
σ2R ligands belonging to diverse chemical classes
(discussed
in more detail in Section ), including the indole alkaloid ibogaine[52,53] and the granatane derivative WC-59.[54] Most of the reported σ2R ligands discovered to
date were developed for their cytotoxicity properties toward several
cancer cell lines;[43] however, the most
recently reported methanobenzazocine derivative UKH-1114[55] and the 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
derivative CM398[56] (Figure ) showed an exquisite σ2R selectivity and demonstrated to produce antinociceptive effects in vivo.To date, a few σR ligands have entered
clinical trials to
treat different diseases, including neurodegenerative diseases, mental
disorders, and pain management. Among them, MR309 (Figure ) has been the first selective
σ1R antagonist to reach phase II clinical trials
for the treatment of oxaliplatin-induced neuropathic pain, and it
represents a potential first-in-class analgesic. The randomized, double-blind,
placebo-controlled study started in patients with colorectal cancer
receiving FOLFOX, aimed to assess the efficacy of MR309 in ameliorating
oxaliplatin-induced peripheral neuropathy (OXAIPN). Interestingly,
discontinuous MR309 administration resulted in a potential neuroprotective
role for chronic cumulative OXAIPN, with a reasonable safety profile.[57]
Figure 3
σRs ligands in clinical trials.
σRs ligands in clinical trials.The radio-tracer [18F]FTC-146 (Figure ), which is the most selective σ1R ligand known to date (>146,000-fold selectivity over
the
σ2R and >10,000-fold selectivity over 59 different
targets), is currently in phase I clinical trials as a first-in-class
diagnostic agent for positron emission tomography–magnetic
resonance imaging (PET–MRI) to detect sites of nerve damage
in patients with neuropathic pain.[58] The
nonradiolabeled analog, named CM304 and acting as σ1R antagonist, showed a low pharmacokinetic profile with a short in vivo half-life (115 min) and undesirable clearance (Cl
= 33 mL/min/kg)[59,60] which did not allow the compound
to move into clinical research, even though it showed efficacy in
multiple preclinical mice models of pain.[61,62]The tetrahydrofuran derivative ANAVEX2-73 (Figure ), acting as a mixed muscarinic
receptor/σ1R ligand, is currently in phase II clinical
evaluation to
treat patients with mild to moderate Alzheimer’s disease.[63] Similarly, T-817MA, a high-affinity σ1R agonist with neuroprotective properties in rats,[64] reached phase II clinic studies for the same
medical condition, while cutamesine (Figure ), another selective σ1R
agonist,[65] has been evaluated in phase
II studies in patients for recovery enhancement after acute ischemic
stroke.[66]Concerning clinical candidates
targeting the σ2R subtype, two different antagonists,
roluperidone and CT1812 (Figure ), entered phase
II and phase I clinical trials to establish their efficacy and safety
in the treatment of schizophrenia and Alzheimer’s disease,
respectively.[67,68] Interestingly, none of the σR
ligands with intrinsic cytotoxicity properties discovered so far are
in clinical trials to treat cancer, likely due to the inconsistent
data concerning the efficacy of σRs ligands on preclinical in vivo models. This situation was aggravated by the unavailability
of the genetic data of the σ2R subtype until its
cloning in 2017. Usually, full characterization of the molecular target
is required to link the chemical probe-target engagement to the functional
pharmacology before launching a full drug discovery program. Indeed,
the precise role of σRs in cancer biology has not yet been entirely
clarified. However, the involvement of σRs in the induction
or inhibition of apoptosis, cell growth, proliferation, and tumor
progression paved the way for developing small molecules that could
be exploited in novel anticancer therapies. The cytotoxic or antiproliferative
properties of σR modulators are exerted by interfering with
both σ1 and σ2 receptors. In particular,
inhibition of the σ1R or induction of the σ2R activities seems to lead to tumor growth inhibition.[69] Specifically, it has been observed that σ1R negative modulators cause a caspase-dependent induction
of apoptosis, whereas σ2R positive modulators mediate
a caspase-independent induction of programmed cell death,[70−72] even though this aspect could not be considered as a rule of thumb
because of some exceptions. Generally, a reliable in vitro protocol useful to distinguish between the agonist or antagonist
properties of σ1R and σ2R ligands
has not been established yet, mostly due to a lack of known endogenous
ligands which does not allow to compare the molecular effect of a
tested compound at the level of the receptor. Despite this fact, the
apoptotic mechanism of induction employed by σR modulators has
been previously used as a judgment parameter to establish the functional
activity of σ2R ligands, as described by Zeng et
al. in 2014.[73] However, based on the recent
finding reported from the same research group, nowadays it is known
that this approach of σR ligands characterization is not suitable.[37]Nevertheless, the selective overexpression
of σR in cancer
cells makes it an attractive target for developing useful diagnostic
agents, such as the σ2R molecular probe named 18F-ISO-1 (Figure ), that has been assessed in clinical trials to evaluate the
safety and feasibility of imaging tumor proliferation by PET in patients
with diagnosed malignant tumors.[74,75] Regarding
this aspect, several comprehensive review articles dealing with the
development of σR radiotracers to diagnose cancer have been
recently published;[76−78] thus, we will not discuss this further. Alternatively,
discovering novel anticancer agents that can potentially treat certain
tumors with a more selective cytotoxic profile would significantly
advance global health.Based on these premises, this perspective
highlights state of the
art development of σR ligands with potential anticancer activity,
mainly covering articles published between 2010 and 2020. In particular,
in this work, the literature search has been conducted using SciFinder
and PubMed online databases and choosing “sigma receptors,
sigma-1 ligands, sigma-2 ligands, cancer, cytotoxicity, anticancer
agents” as keywords. After a cross-match searching process,
only significant research articles strictly related to this perspective’s
topics have been selected. First, we will briefly overview the most
significant σR pharmacophore models reported to date to provide
detailed information about essential chemical features required for
ligands binding at σRs. Second, the most recently reported σR
ligands with antiproliferative and cytotoxic activities will be covered,
particularly selective σ1R and σ2R ligands. Extensive structure–affinity relationships (SAfiRs)
and structure–activity relationships (SARs) regarding the main
classes of σR ligands will be discussed and summarized in each
section. Finally, a comprehensive medicinal chemistry perspective
on the past, present, and future of σR ligands as a new potential
generation of cytotoxic agents will be provided.
Pharmacophore
Models for σR Ligands
There is a large number of reported
σR ligands in literature
with no clear SAfiRs or SARs. As mentioned earlier, the crystal structure
of σ1R was released in 2016. Also, the 3D structure
of σ2R is not yet available for structure-based design.
Hence, most of the rational[57,79] design attempts of
σR ligands were ligand-based modeling. The main issue that hindered
the development of pharmacophore models for σRs is the structural
diversity of the reported ligands. The first model was reported by
Gilligan et al. in 1992 with four pharmacophore elements for σ1R binding, namely, a basic nitrogen atom, two hydrophobic
groups, and an H-bonding center midway between the basic N and the
distal hydrophobic site (Figure A).[80] It is worth noting
that this first model was not ideal for database mining since it only
explained the binding characteristic of one class of compounds.
Figure 4
(A) The proposed
pharmacophore model by Gilligan et al. (B) Glennon’s
pharmacophore model.
(A) The proposed
pharmacophore model by Gilligan et al. (B) Glennon’s
pharmacophore model.Following that early
attempt by Gilligan, several ligand-based
models for σ1R or σ2R ligands have
been reported. These models and their applications will be discussed
in the following section. The second prominent attempt was reported
by Glennon and co-workers in 1998. They developed a comparative molecular
field analysis (CoMFA) model based on the binding data of 64 benzonorbornane
derivatives to σ1R. The model showed a good correlation
coefficient (R2 = 0.989) and predictive
ability (Q2 = 0.732) and supported the
proposal of Gilligan. The Glennon model comprises a central basic
nitrogen flanked by two hydrophobic/aromatic moieties, one of them
is significantly larger than the other (Figure B). Also, the hydrophobic groups are not
located at equal distances from the basic core. The smaller is 2.5–3.9
Å, while the larger group is proposed to be 6–10 Å
away from the basic nitrogen (Figure B). One of the early trials to address the diversity
of σ1R ligands in the developed pharmacophore was
reported by Jung and co-workers in 2004. This model includes two aromatic
rings, a carbon centroid, the basic nitrogen, and a hydrogen bond
close to the basic nitrogen (not shown). In 2009, Glennon reported
a CoMFA model for σ2R based on a series of cyclohexylpiperazines.
This model showed a similar arrangement to previously reported σ1R models with a correlation coefficient of 0.95 and a cross-validated
one of 0.73.[81]Vio et al. used Catalyst
software and the HypoGen algorithm to
prepare a common-feature pharmacophore for a series of benzo[d]oxazolone with high affinity to the σ1R.[82] Although the model was based on different
compound series, it was in perfect agreement with Glennon’s
previous model with very similar distances and features, including
two aromatic rings (HYAr), one hydrophobic (HY), one hydrogen-bond-acceptor
group (HBA), and one positive ionizable (PI) feature (Figure A).
Figure 5
3D pharmacophore models
for σ1R: (A) Pharmacophore
mapping of compound A in 3D models derived by Vio et
al. (B) Pharmacophore mapping of compound B in 3D models
derived by Meyer et al. (C) Pharmacophore mapping of PD144418 in 3D
models derived by ESTEVE. Color coded as follows: PI (red), HYAr or
HYD (light blue), HY (pink), HBA (light green), excluded volumes (gray).
Adapted with permission from refs (82 and 83). Copyright 2009 and 2012 American Chemical Society.
3D pharmacophore models
for σ1R: (A) Pharmacophore
mapping of compound A in 3D models derived by Vio et
al. (B) Pharmacophore mapping of compound B in 3D models
derived by Meyeret al. (C) Pharmacophore mapping of PD144418 in 3D
models derived by ESTEVE. Color coded as follows: PI (red), HYAr or
HYD (light blue), HY (pink), HBA (light green), excluded volumes (gray).
Adapted with permission from refs (82 and 83). Copyright 2009 and 2012 American Chemical Society.The same research group has also reported another pharmacophore
model for σ2R ligands based on benzo[d]oxazolone derivatives (Figure A).[84] The latter exhibited
a very similar arrangement to that of the σ1R previously
developed by the same group and the one developed by Glennon. Nevertheless,
compared to Glennon’s pharmacophore, the distance between the
primary hydrophobic region and the basic nitrogen is significantly
shorter (4.96 Å).[84]
Figure 6
3D pharmacophore models
for σ2R: (A) Pharmacophore
mapping of compound C in 3D models derived by Vio et
al. (B) Pharmacophore mapping of compound D in 3D models
derived by Iyamu et al. Color coded as follows: PI (red), HYAr or
HYD (light blue), HY (pink), HBA (light green), excluded volumes (gray).
3D pharmacophore models
for σ2R: (A) Pharmacophore
mapping of compound C in 3D models derived by Vio et
al. (B) Pharmacophore mapping of compound D in 3D models
derived by Iyamu et al. Color coded as follows: PI (red), HYAr or
HYD (light blue), HY (pink), HBA (light green), excluded volumes (gray).In 2012, Meyeret al. reported a σ1R ligands pharmacophore
based on a novel series of spirocyclicthiophenes also using the Catalyst
software (Figure B).[83] This model is comprised of the same five features
described by Vio et al. with the positive ionizable feature located
4.36 and 9.77 Å away from the two hydrophobic features. Recently,
in 2019, scientists from the ESTEVE pharmaceutical company developed
a σ1R pharmacophore based on the published crystal
structure (PDB ID: 5HK1) of the receptor (Figure C).[85] This model was compared to
the previously mentioned pharmacophores and has been validated using
a large database of 25,000 compounds with known σ1R affinity. Researchers have used the receptor–ligand pharmacophore
generator job implemented in the Discovery Studio software which identifies
all the critical ligand–protein interactions and then places
exclusion volumes to account for any steric considerations. This model
identified Glu172 as the positive ionizable group site while placing
the two hydrophobic features within the space defined by residues
Tyr103, Leu105, Leu95, Tyr206, Leu182, and Ala185 and confined by
helices α4 and α5. This ESTEVE pharmacophore outperformed
previously published models and, according to the authors, showed
better results than molecular docking. On the other hand, the most
recent σ2R ligands pharmacophore was published in
2019 by scientists from Northwestern University.[86] They developed a series of tetrahydroindazoles and used
the obtained SAR data to build the model using the PHASE module as
implemented in the Schrödinger software suite. This pharmacophore
model consists of one PI group, one HYAr ring, and three HY moieties
(Figure B). Although
the distances were not reported, the arrangement showed an equal disposition
between the basic nitrogen and two hydrophobic groups.Generally
speaking, the development of σ1R ligands
depended mainly on ligand-based design, especially on the general
pharmacophoric features suggested by Glennon and co-workers.[87,88] Despite the availability of the σ1R crystal structure
since 2016, several studies still depend on the general sigma pharmacophore
for the design of novel ligands. This approach has been successful
and led to the discovery of several high affinity ligands.[82,85,89] Moreover, some of the reported
pharmacophore models addressed the σR subtype selectivity and
highlighted the feature required for binding at each subtype. However,
to date, we believe that selectivity against other CNS receptors has
not been adequately addressed using ligand-based design methods. Noteworthy,
Greenfield et al. recently provided a good example of a high-throughput
structure-based computational docking approach as an effective method
for the discovery of new selective σ1R ligands (Figure ).[90] The platform has been developed performing an iterative
process of molecular docking experiments with increased precision
levels through screening a library of 6 million compounds.
Figure 7
Schematized
representation of the high-throughput structure-based
computational docking approach for the discovery of new σ1R ligands proposed by Greenfield et al. Adapted with permission
from ref (90). Copyright
2020 American Chemical Society.
Schematized
representation of the high-throughput structure-based
computational docking approach for the discovery of new σ1R ligands proposed by Greenfield et al. Adapted with permission
from ref (90). Copyright
2020 American Chemical Society.It should be emphasized that most of the known σR ligands
possess heterogeneous structures and can adopt several binding conformations
targeting any of the σR subtypes. Developing a 3D QSAR model
covering diverse ligands adapting various binding modes is challenging.
Also, the binding site of the crystallized σ1R is
flexible, elongated, and can bind large diverse molecules.[20,21] Docking into such flexible sites is difficult and could give a high
percentage of “false positives”. Therefore, we generally
recommend using a combined ligand-based (pharmacophore or QSAR) and
structure-based (homology modeling and docking) approach. A combination
of drug design methods should better predict the activity and eliminate
more of the “false positives”.[91]
σR Ligands with Cytotoxic Effects
Selective σ1R Ligands
Over the years,
several selective σ1R ligands whose
antiproliferative properties have been corroborated by several studies
have been reported. Figure shows chemical structures and σRs binding profiles
of a few examples of such σ1R ligands.
Figure 8
Representative
structures of antiproliferative σ1R ligands with
their σRs binding profile.
Representative
structures of antiproliferative σ1R ligands with
their σRs binding profile.Rimcazole binds to σRs, serotonin transporter, and with higher
affinity to the dopamine transporter.[92] It was initially evaluated for the treatment of schizophrenia and
later for its anticancer activity. Specifically, the antiproliferative
effects exerted by rimcazole are counterbalanced by the σ1R agonist (+)-SKF-10047; thus, rimcazole has been classified
as a putative σ1R antagonist.[69] Moreover, rimcazole demonstrated to inhibit cell proliferation
on xenografted models of hormone-sensitive and insensitive breast
cancer cell lines.[70,93] Particularly, completion of its
anticancer activity seems to require the HIF-1α induction (mediator
of apoptosis)[94] or the presence of the
p53 protein.[69] Despite these preclinical
results, rimcazole was never fully considered a potential candidate
for anticancer therapy because of its off-target effects related to
the interference with dopamine neurotransmission. IPAG, initially
synthesized as a possible radiotracer, is a potent tumor suppressor
and autophagy inducer.[95] Also, its ability
to induce an unfolded protein response has been reported in several
carcinomas, including pancreas and prostate cancers.[95] SR31747A is a selective σ1R antagonist
whose antiproliferative activity is associated with immune-modulatory
effects in different cancer cell lines with tumor growth inhibition
values ranging from 40% to 60% based on the tumor cell lines tested.[96,97] Finally, the arylalkylethylenediaminesBD1047 and BD1063 represent
two putative σ1R antagonists devoid of cytotoxic
properties, although they can induce an altered cell morphology. In
general, BD1047 has shown better antitumor effects when compared to
its piperazine derivative BD1063.[70,10]
N,N-Dialkyl
and N-Alkyl-N-aralkyl Fenpropimorph
Derivatives
Despite its amino acid sequence similarity with
the yeast C8–C7 isomerase, in 1996, the Glossman research group
proved that σ1R is devoid of any sterol isomerase
activity.[18] Later, the same team found
that fenpropimorph (an agricultural fungicide whose mechanism of action
implies disruption of ergosterol biosynthesis pathways) had a high
affinity for σ1Rs (Figure ). In 2007, Ramachandran and colleagues purified
a recombinant guinea pig σ1R and identified two regions,
named steroid binding domain-like I and steroid binding domain-like
II, that can serve as additional σ1R binding sites.[98−100] Interestingly, these regions share a high similarity with that of
the sterol binding domains of the yeaststerol C8–C7 isomerase.
The fenpropimorph’s chemical structure consists of an aryl
ring linked through an alkyl spacer to a nitrogen atom incorporated
in a morpholine ring. Considering that the pharmacophore of σ1R ligands and the chemical scaffold of fenpropimorph are superimposable,
in 2010, Hajipour and co-workers reported the synthesis of N,N-dialkyl and N-alkyl-N-aralkyl fenpropimorph-derived compounds as σR ligands
with cytotoxic properties.[101] Among all
the tested compounds, 1–3 and 5 exhibited high affinity for the σ1R subtype
with Ki values in the nanomolar range.
On the contrary, compounds 4 and 6 displayed
a slight preference for the σ2R subtype (Figure ), even with σ2Ki values in the high nanomolar
or micromolar range.
Figure 9
N,N-Dialkyl and N-alkyl-N-aralkyl fenpropimorph-derived
compounds 1–6 and their σRs
binding profile.
N,N-Dialkyl and N-alkyl-N-aralkyl fenpropimorph-derived
compounds 1–6 and their σRs
binding profile.SARs were defined for
this series of compounds. In general, compounds
with a nitro substituent on the phenyl ring were more potent than
the corresponding fluorinated derivatives. Compound 1 was about 59-fold more potent than compound 2, whereas
compound 5 was 400-fold more potent than its fluorinated
analog 4. The authors suggested that the electron-withdrawing
properties of the nitro group presumably enhanced the binding with
the σ1R. Interestingly, when a fluorine atom is present
(e.g., compound 4), the binding properties changed in
favor of the σ2R subtype. The authors also reported
the importance of the free lone pair of the nitrogen atom on the alkyl
chain, which was necessary for the binding with the σ1R, according to Glennon et al.[102] Indeed,
the amide derivative of compounds 2 (not shown) did not
have any affinity for the σ1R. Compounds 1–6 were tested for their cytotoxic properties
against a broad panel of tumor cell lines (Table ).
Table 1
IC50 Values
of Compounds 1–6 on a Selected Panel
of Cancer Cell
Lines
IC50 (μM)a
Compd.
NCI-H460
H1299
SKOV-3
DU145
MCF7
MCF10A
MB-MDA-231
SF268
HT-29
HCT-15
1
40.52
>100
27.85
32.67
22.36
>100
57.12
>100
>100
>100
2
>100
>100
56.18
>100
>100
>100
>100
>100
>100
>100
3
>100
>100
>100
>100
>100
>100
>100
>100
>100
>100
4
44.77
>100
20.15
>100
41.34
>100
68.12
>100
>100
>100
5
>100
>100
>100
>100
88.1
>100
>100
>100
>100
>100
6
40.32
90.81
>100
13.06
16.75
88.63
21.60
38.8
36.42
54.12
Data from ref (101).
Data from ref (101).Compound 1 showed activity against NCI-H460, SKOV-3,
DU145, MCF7, and MB-MDA-231cancer cell lines. On the other hand,
compound 2, which differs from 1 only for
the fluorine atom, was active only against SKOV-3 with an IC50 value of 56.18 μM. Compound 5 demonstrated moderate
activity against the MCF7cancer cell line with an IC50 value of 88.1 μM. Interestingly, an opposite trend was observed
for compound 4, the fluorine derivative of 5. In fact, the former was found to be active on NCI-H460, SKOV-3,
MCF7, and MB-MDA-231tumor cell lines. The better affinity of compound 4 for the σ2R subtype with respect to the
σ1R seems to explain this behavior. Indeed, the σ2R subtype is overexpressed in different cancer cell lines,
and the authors, at the time of the publication, were not able to
explain if the cytotoxic activity was due only to the involvement
of the σ2R or both receptors. Compound 3 showed to be devoid of any cytotoxic activity in all the tested
cell lines. Finally, compound 6 showed no specific cytotoxicity
in all the selected cancer cell lines, except for SKOV-3.
Spirocyclic Piperidine Derivatives
Spipethiane
Derivatives
In 2010,
Piergentili et al. discovered novel highly potent and cytotoxic σ1R ligands with a putative antagonistic profile whose chemical
structure was based on the spipethiane scaffold (σ1 pKi = 9.23, σ2 pKi = 6.40, Figure ),[103] a spiro compound identified
as a σR ligand by the same research group in 1998. Bioisosteric
substitutions of the sulfur in position 1 and the methylene group
in position 3 of spipethiane were performed to expand the SARs of
this class of compounds (general structure A, compounds 7–11, Figure ). In addition, a smaller second set of compounds was
obtained by deleting the spiro carbon and separating the two hydrophobic
portions of the molecule through a carbon–carbon single bond
(general structure B, compounds 12–15, Figure ). Moreover,
insertion of a carbonyl function in position 4 and homologation at
the nitrogen atom of the piperidine ring was also considered. Based
on σ1 and σ2 radioligand binding
assays performed, respectively, on Jurkat cells and rat cerebral cortex
membranes using [3H]-pentazocine and [3H]1,3-di(2-tolyl)guanidine
([3H]DTG) as labels, SARs were built up. Almost all the
novel compounds of the two series had higher σ1R
affinity values than the lead spipethiane. Bioisosteric substitution
of the sulfur atom with oxygen or with a methylene group did not alter
the σ1R affinity even if a slight increase of affinity
was considerable for the σ2R (compounds 7–8) with a consequent decrease of σ1Ki/σ2Ki selectivity ratio (calculated as the antilogarithm
of the difference between pKi at σ1 and σ2 receptors). Better results were obtained
with compounds 9 and 10, where the methylene
group of spipethiane in position 3 was substituted with an oxygen
atom. Interestingly, replacement of the methylene group in position
4 with a ketone functional group afforded the best compounds in terms
of σ1R affinity. The best result was obtained with
compound 14, also characterized by the absence of the
spiro carbon that links the thiochromane ring to the benzylpiperidine
moiety. This compound possessed a σ1 pKi of 10.28 (σ1Ki/σ2Ki = 29,512),
and it represented the best σ1R ligand reported in
the literature at the time of the publication. The high affinity of 14 was explained by hypothesizing that its more flexible structure
allowed better interactions with the σ1R binding
site. However, an increase in flexibility is not always a rule of
thumb to be applied to develop selective σ1R antagonists.
Indeed, compound 15, which is the compound 13 homologous at the nitrogen atom of the piperazine ring, had a lower
σ1 pKi = 9.96 and a σ2 pKi = 8.08. Therefore, it seemed
that the elongation of the alkyl chain in this class of compounds
ameliorated the σ2R affinity and caused a drastic
loss of σ1Ki/σ2Ki selectivity ratio.
Figure 10
Spipethiane
and general structure of spipethiane derivatives 7–11 and 12–15 with their σRs
binding profile.
Spipethiane
and general structure of spipethiane derivatives 7–11 and 12–15 with their σRs
binding profile.The spipethiane derivatives 7–15 were tested on MCF-7 and MCF-7/ADRcancer cell lines to evaluate
their antitumor properties. The two cancer cell lines were chosen
on the basis of their differential expression of σRs; in particular,
the high overexpression of σ1R subtype characterizes
the latter.[104] The authors proved that
all the novel compounds possessed cytostatic properties in the MCF-7/ADRcancer cell line with the best GI50 values obtained with
compounds 11 and 13 (10.0 μM and 7.7
μM, respectively), whereas no growth inhibition was observed
in the MCF-7 cancer cell line. Also, an analysis of the ability to
interfere with the cell cycle by comparing the spipethiane and compounds 13 and 14, which possessed the best σ1Ki/σ2Ki selectivity ratio, was made. Specifically,
compounds 13 and 14 increased the number
of cells in the G0/G1 phase and decreased the
number of cells in the S phase in the MCF-7/ADR cell line; the same
trend was not observed in MCF-7 breast cancer cells. Contrariwise,
spipethiane was not able to affect the cell cycle. The capability
of compounds 13 and 14 to induce apoptosis
was also described. Indeed, MCF-7 and MCF-7/ADRcancer cell lines
were stained with annexin V-FITC to evaluate the expression of phosphatidylserine
on the outer layer of the cell membrane, which represents a typical
feature of cells in apoptosis. Flow cytometry analysis highlighted
phosphatidylserine expression only in MCF-7/ADR cells treated with
compounds 13 and 14. Finally, the functional
activity of compound 14 was validated using the tail-flick
assay. σ1Rs are highly expressed in the dorsal horn
of the spinal cord,[105] and it has been
demonstrated that they can modulate opioid analgesia.[106] In addition, KO of the σ1R
gene (SIGMAR1) determines pain-attenuated phenotype
in mice, supporting the modulatory role of σ1Rs in
different types of pain (e.g., neuropathic, inflammatory, visceral).[107] Therefore, σ1R ligands mimicking
this condition are considered putative σ1R antagonists
or negative modulators. Treatment of CD-1mice only with 14 did not induce any analgesic effect, whereas pretreatment with morphine
and subsequent administration of 14 enhanced the analgesic
effect of morphine itself. Altogether, these results were consistent
with previously reported findings on σ1R antagonist
(i.e., BD1047)[106] and proved the putative
σ1R antagonist profile of compound 14. In our opinion, the combination of structural elements, σRs
binding profile, and intrinsic activity makes spipethiane derivatives
an exciting class of compounds that might be further developed as
cytotoxic agents helpful in those cancer cell lines whose aggressiveness
is related to the overexpression of σ1Rs.
Spirocyclic Thienopyran and Thienofuran
Derivatives
In the search for selective σ1R ligands, molecules with a spirocyclic piperidine scaffold gained
much attention over the last decades. With this in mind, the synthesis
of spirotetralins, spiro-joined benzofuran, isobenzofuran, and benzopyran
piperidine derivatives were described, along with their affinities
toward the two σR subtypes.[108−110] Bioisosteric substitution
of the benzene ring of spiro-joined benzofuran and benzopyran piperidine
derivatives with a thiophene ring gave highly potent and selective
σ1R ligands. Compounds 16–21 were identified as the most interesting compounds belonging
to this series (Figure ). The main differences between these spiro-piperidines are
(i) the presence of an aryl moiety linked to the α-position
of the thiophene ring; (ii) the size of the oxygenated ring; and (iii)
the nature of the substituent linked to such ring. Among the non-arylated
lactones, a thieno[3,4-c]furan-3-one scaffold (16) showed the best results in terms of σ1R affinity when compared to the pyranone ring (not shown). Arylation
of 16 in the 4′-position of the thiophene ring
(on the same side of the lactone functional group) with rings possessing
electron-withdrawing or electron-donating groups was tolerated. Despite
a slight increase of the σ1R affinity of such compounds,
the non-arylated compound 16 still possessed a better
σ2Ki/σ1Ki selectivity ratio, so that additional
derivatives of 16 substituted in the 4′-position
have not been investigated. On the contrary, arylation at the 6′-position
of the thiophene ring of 16, or at both 4′- and
6′-positions, caused loss of affinity for the σ1R. Regarding the acetalic spiropiperidines with a thienopyran moiety
(17–19), the sulfur position influenced
the σ1R affinity. Indeed, the regioisomer 19 with a thieno[2,3-c]pyran moiety was about 6-fold
and 8.5-fold less potent than regioisomers 17,18 (σ1Ki = 1.9 nM for 19 vs σ1Ki = 0.32 nM and
0.22 nM for 17 and 18, respectively). α-Arylation
of compound 17 with a thieno[3,2-c]pyran
moiety led to compounds whose σ1R affinity is from
17- to 500-fold higher than those of the parent compound 17.[83] On the contrary, α-arylation
of compound 18 (on the same side of the acetalic function)
and α-arylation of compound 19 were tolerated.
For derivatives of compound 18, both electron-rich and
electron-poor phenyl rings as well as naphthyl rings were tolerated.
However, a bulky biphenyl moiety was not tolerated. Interesting results
have been obtained by insertion of a p-cyanophenyl
substituent on the thiophene ring of compound 18. This
derivative (compound 20) displayed a σ1Ki value of 0.25 nM, which is perfectly
comparable with the σ1Ki value obtained for compound 18 (0.22 nM). Meyeret
al., who designed and synthesized these molecules, explained this
aspect by a possible interaction of the additional aryl moiety with
a hydrophobic pocket within the σ1R protein that
is not accessible for the non-arylated parent compounds. In light
of the σ1R values, it is clear that the spirocyclic
scaffold was responsible for the high affinity for the σ1R. In contrast, the aryl moiety allows only additional hydrophobic
interactions useful for better binding with the receptor.[111] Aryl derivatives of 19 only tolerated
unsubstituted or electron-poor aryl substituents (21,
σ1Ki = 16 nM).[112] In order to establish the selectivity over
other receptors, the affinities of compounds 16–21 toward the phencyclidine binding site and the ifenprodil
binding site of the NMDA receptor (GluN2B) were assessed. Results
showed affinity values exceeding 500 nM and selectivity for the σ1R, except for compound 20, which displayed a Ki = 91 nM for the GluN2B.[113] Recently, pharmacological characterization of compounds 16–21 has been performed.[113] Non-arylated compounds 16–19 did not display affinities for the serotoninergic 5-HT1A receptor, the adrenergic α1A and α2A receptors, and the serotonin transporter (SERT). Compounds 16, 20, and 21 displayed a negligible
affinity for opioid receptors, whereas compound 18 showed
a moderate affinity for κ-opioid receptor (KOR) and δ-opioid
receptor (DOR).
Figure 11
Structures of selected spiropiperidines with a thienofuran
and
thienopyran scaffold (16–21) and
their σRs binding profile.
Structures of selected spiropiperidines with a thienofuran
and
thienopyran scaffold (16–21) and
their σRs binding profile.The σ1R functional activity of spirocyclic piperidines 16–21 was investigated by merging the
information acquired from these compounds’ effect on the induced
Ca2+ influx mediated by voltage-gated channels in retinal
ganglion cells and the capsaicin assay. In the first test, a non-arylated
and an arylated compounds (18 and 20) were
used. The KCl-induced Ca2+ influx through the L-type voltage-regulated
Ca2+ channel was inhibited in the presence of a σ1R agonist. On the contrary, σ1R antagonists
had the opposite effect. Both compounds did not inhibit the KCl-induced
Ca2+ influx, whereas they could reverse the inhibition
mediated by the σ1R agonist opipramol, suggesting
a σ1R antagonist profile. The putative σ1R antagonist properties were further confirmed with an in vivo capsaicin assay, in which compounds 18, 19, and 21 exhibited antiallodynic effects
and a prolonged response latency after mechanical stimulation of the
right hind paw of mice previously injected with capsaicin. The antiproliferative
properties of these compounds were studied in A427 (nonsmall-cell
lung cancer), LCLC-103H (large-cell lung cancer), 5637 (bladder cancer),
and DAN-G (pancreatic cancer) cell lines with an in vitro crystal violet staining assay. The A427 and 5637 cancer cell lines
were the most sensitive to spirocyclic compounds 16–20. Spiropiperidines 20 and 21 were
the most potent toward the A427 cell line, with IC50 values
of 2.6 μM and 5.9 μM, respectively. Considering that the
IC50 values obtained for the A427 cell line were similar
to those obtained with the σ1R antagonist haloperidol,
the authors assumed that the antiproliferative effect of these compounds
was mediated by interference with the activity of σ1Rs. In addition, the antiproliferative properties of 20 were partially reversed when the σ1R agonist (+)-pentazocine
was added. By contrast, results obtained in the bladder cell line
(IC50 = 5.5 μM and 9.1 μM for 20 and 21, respectively) seemed to be not related to the
interference with σ1R. Indeed, (+)-pentazocine exhibited
cytotoxic properties on this cell line. In general, compound 20 displayed an unselective cytotoxic effect on all the explored
cancer cell lines with the highest value of cytotoxicity (65%) detected
for the A427 cell line with the lactate dehydrogenase (LDH) assay.
In general, spirocyclic piperidines seemed to act as σ1R antagonists with cytotoxic properties. Thus, we suggest that this
chemical scaffold may be further exploited by structural simplification
or bioisosteric replacements.[114]
Bicyclic Piperazine Derivatives
7,9-Diazabicyclo[4.2.2]decane Derivatives
The ethylenediamine
moiety has been proven to represent a sufficient
chemical substructure that allows a high affinity for the σRs.
Indeed, almost 30 years ago, it was discovered that the cis-isomers of U50,488 (compound (±)-22, Figure ), a selective
KOR agonist, possessed a moderate affinity for the σ1R.[115] Reduction of the amide functional
group led to the enantiomeric cyclohexandiamine derivatives of U50,488
(compound (±)-23, Figure ), both containing the ethylenediamine moiety
and with high affinity for the σ1R.[116] Removal of the cyclohexane ring afforded the ethylenediamine 24 (Figure ) with σ1Ki and σ2Ki of 2.1 nM and 8.1 nM, respectively.[117]
Figure 12
Historically relevant ethylenediamine 22–24 with their σRs binding profile.
The ethylenediamine
structure is highlighted in light blue.
Historically relevant ethylenediamine 22–24 with their σRs binding profile.
The ethylenediamine
structure is highlighted in light blue.Compound 24 was used as the lead compound for the
discovery of novel σR ligands.[118,119] To expand
the SARs of this class of compounds, the ethylenediamine moiety has
been included in a conformationally restricted structure, such as
the piperazine ring. Specifically, piperazine derivatives were substituted
at both nitrogen atoms with hydrophobic substituents to establish
a proper binding with the σR protein.[120,121] The general structure of these compounds is depicted in Figure . Among the synthesized
compounds, a p-methoxybenzyl moiety and a benzyl
moiety (compound 25, Figure ) led to a σ1Ki value of 0.47 nM. In 2004 and 2012, the discovery of
chiral and flexible (piperazin-2-yl)alkanol derivatives with a good
affinity toward the σ1R was reported (general structure
in Figure ).[122,123] The best compounds possessed once again a p-methoxybenzyl
moiety and a benzyl moiety linked to the piperazinenitrogen atoms.
The methanol side chain (compound 26, Figure ) afforded the best results
in terms of σ1R affinity (σ1Ki = 12.4 nM), whereas the ethanol side chain
(compound 27, Figure ) afforded a slightly reduced σ1Ki value (20 nM vs 12.4 nM) but a higher selectivity
ratio (σ2Ki/σ1Ki > 50). On the other hand,
the
side chain elongation to three carbon atoms (compound 28, Figure ) caused
a considerable reduction of affinity (σ1Ki = 188 nM).
Figure 13
General structures of piperazine derivatives
and structures of
compounds 25–28 with σRs binding
profile.
General structures of piperazine derivatives
and structures of
compounds 25–28 with σRs binding
profile.With the purpose of defining a
3D pharmacophore model that takes
into consideration the appropriate spatial orientation of the pharmacophoric
elements of a σ1R ligand, a useful strategy is represented
by the structural constriction of such elements in a blocked conformation,
such as bicyclic structures. With respect to the Glennon pharmacophore
model for σ1R ligands, the (piperazin-2-yl)alkanol
moiety was incorporated in bicyclic frameworks, giving rise to different
classes of compounds with a moderate-to-high affinity toward the σ1R (general structure in Figure ).[124−129] SARs were described for these derivatives. In general, lipophilic
substituents at both nitrogen atoms were required for a proper binding
with the σ1R. The R2 group could be an
allyl substituent if the carbon atom linked to R3 was unsubstituted;
otherwise, this unsaturated moiety was not tolerated. In all other
cases, R2 could be a benzyl, propyl, or dimethylallyl moiety.
The R3 substituent could be a benzyloxy group if the bridge
was made of four carbon atoms. By contrast, if the benzyloxy group
was present, a smaller bridge led to a lower affinity. Thus, a benzylidene
moiety was allowed. Besides, R3 could be a hydroxy group
or a carbonyl function only if R2 corresponded to a benzyl
moiety. Substituents that decreased the basicity of the nitrogen atom
linked to R2, for example, phenyl or benzoyl, were not
tolerated. Finally, bridge annulation with a quinoline or an indole
ring or its participation in the formation of spirocycles caused a
loss of affinity. In 2007, the synthesis of constrained derivatives
of (piperazin-2-yl)propanols possessing a 6,8-diazabicyclo[3.2.2]nonane
scaffold and a three-carbon bridge was reported (Figure ).[130] Among these derivatives, enantiomeric alcohols 29 and 30 (Figure ) gave the best results in terms of activity and selectivity. Interestingly,
compound 29 was about 30-fold more potent than its corresponding
flexible piperazine 28. The diastereoisomeric alcohols
of 29 and 30 (not shown) were about 20-fold
less potent (6.5 nM vs 125 nM for compound 29 and its
diastereoisomer, 7.5 nM vs 118 nM for compound 30 and
its diastereoisomer), suggesting that the orientation of the alcoholic
function at the 2-position was somehow crucial to establish a proper
interaction with a HBA present in the binding site of the σ1R. Also, the authors observed that the alcoholic function
of compounds 29 and 30 had a similar spatial
orientation of the alcoholic group of compound 26.
Figure 14
General structure
of bicyclic piperazines, chemical structures
of 6,8-diazabicyclo[3.2.2]nonanes 29 and 30, and 7,9-diazabicyclo[4.2.2]decane derivatives 31–37 with their σRs binding profile.
General structure
of bicyclic piperazines, chemical structures
of 6,8-diazabicyclo[3.2.2]nonanes 29 and 30, and 7,9-diazabicyclo[4.2.2]decane derivatives 31–37 with their σRs binding profile.In 2010, Sunnam and co-workers, as a continuation of the work previously
described, expanded the carbon bridge of 6,8-diazabicyclo[3.2.2]nonanes
from three to four carbon atoms, affording 7,9-diazabicyclo[4.2.2]decane
derivatives (compounds 31–37, Figure ). The authors
investigated if ring homologation and modification of the alcoholic
function at the 2-position or its complete deletion could affect the
activity of this novel class of compounds. Correctly, the homologous
compound 29 (alcohol 31, Figure ) had only a moderate affinity
toward the σ1R, whereas the affinity for the σ2R fell in the micromolar range. Etherification of the alcoholic
function of 31 led to alkyl ethers 32–34. Except for 34, which possessed a branched
isopentyl moiety (σ1Ki = 123 nM), ethers 32 and 33 displayed
a worse affinity for the σ1R when compared with compound 31. Elongation of the alkyl chain or insertion of an aromatic
ring led to ethers with very low affinity for the σ1R (not shown). Also, the authors performed similar structural modifications
for the diastereoisomeric alcohols and ethers of 31–34. It was reported that the σ1R affinities
of such diastereoisomers fell in the micromolar range, emphasizing
that in the postulated bioactive conformation, the substituent in
position 2 must possess the same spatial orientation observed for
compounds 29 and 31. Removal of the oxygen
atom led to alkane 35 with a σ1R affinity
comparable to 31 (253 nM vs 298 nM, respectively).[131]Moreover, insertion of a double bond
between carbons in positions
2 and 3 on the carbon bridge afforded compound 36, representing
the best compound of this series in terms of σ1R
affinity. Indeed, compound 36 was about 40-fold more
potent than 31 (7.5 nM vs 298 nM, respectively). Unfortunately,
compound 36 also displayed the best Ki value for the σ2R for this class of
compounds (184 nM). Insertion of a fluorine atom at the 2-position
of the double bond led to compound 37 whose σ1R affinity was once again comparable with those of compound 31. SARs were outlined for this class of novel compounds.
Comparing the results obtained from the 6,8-diazabicyclo[3.2.2]nonane
series and the 7,9-diazabicyclo[4.2.2]decane series, it seemed that
homologation of the carbon bridge did not represent a valuable strategy
for a better σ1R binding. Furthermore, the presence
of a substituent at the 2-position of the 7,9-diazabicyclo[4.2.2]decane
scaffold was not necessary for the affinity, although stereochemistry
represented a factor that must be taken into consideration when such
substituents were present. The presence of unsaturation could justify
the best result obtained with compound 36. Indeed, the
shorter length of the double bond reduces the bridge size and its
flexibility, so that the steric demand of the unsaturated four-carbon
bridge and the three-carbon bridge becomes similar with a consequently
improved interaction with the σ1R (29, 30 and 36). To summarize, enlargement
of the bridge size to four atoms in piperazinebicyclic derivatives
did not bring a striking beneficial effect for σ1R binding unless an unsubstituted double bond was present.Cytotoxic properties of compounds 35 and 36 were evaluated in a panel of six humantumor cell lines, including
A427 (small-cell lung cancer), 5637 (bladder cancer), RT-4 (bladdercancer), LCLC-103H (large-cell lung cancer), MCF-7 (breast cancer),
and DAN-G (pancreas cancer). While no cytotoxic activity was observed
for RT-4, LCLC-103H, or DAN-G cancer cell lines, good results were
obtained mainly with A427 and 5637 cell lines. Specifically, after
96 h of exposure, compound 36 displayed an IC50 value of 13 μM for the 5637 cancer cell line and an IC50 value of 10 μM for the A427 cancer cell line. Interestingly,
the A427 cell line was susceptible to haloperidol, a well-known σ1R antagonist, so that the authors hypothesized that compound 36 could act as a σ1R antagonist, explaining
its antiproliferative activity. However, the same assumption cannot
be made for the 5637 cell line, which is insensitive to haloperidol.
For these reasons, in our opinion, the assumption of functional activity
based on the simple comparison of the biological effect with a reference
compound, like haloperidol, is misleading. For this reason, the precise
mechanism of cytotoxicity should be investigated more in detail to
establish if the cytotoxic properties of compound 36 depend
on the selective interaction and inhibition of the σ1R.
2,5-Diazabicyclo[2.2.2]octane Derivatives
In 2016, Weberet al. reported the synthesis of 2,5-diazabicyclo[2.2.2]octane
derivatives.[132] These compounds were designed
for the same purposes previously discussed for the 7,9-diazabicyclo[4.2.2]decane
series. The authors hypothesized that if rigidification of 28 into compound 29 afforded a 30-fold improvement of
the σ1Ki affinity value,
then similar results should also be achieved by rigidification of
the flexible (piperazin-2-yl)-ethanol structure (general structure
in Figure ) into
the 2,5-diazabicyclo[2.2.2]octane scaffold (i.e., 38–43, ent-38–43, Figure ). The best results
in terms of σ1R binding (calculated in animal and
humanmyeloma cell lines) were obtained when a cyclohexylmethyl moiety
was linked to one nitrogen atom of the bicyclic piperazine (Table ).
Figure 15
General structure of
2,5-diazabicyclo[2.2.2]octane derivatives 38–43 and ent-38–43.
Table 2
σ1R Binding Profile
of Compounds 38–43 and ent-38–43
Compd.
σ1Ki [nM]a (guinea
pig brain)
σ2Ki [nM]a (rat
liver)
σ1Ki [nM]a (human
RPMI 8226 cell line)
38
4.8
36
3.2
ent-38
23
197
2.8
39
6.9
60
2.4
ent-39
5.7
501
1.6
40
8.0
51
13
ent-40
14
40
38
41
7.1
157
7.2
ent-41
0.50
116
6.0
42
8.7
20
27
ent-42
11
202
27
43
23
334
73
ent-43
11
593
24
Data from ref (132).
General structure of
2,5-diazabicyclo[2.2.2]octane derivatives 38–43 and ent-38–43.Data from ref (132).Almost all compounds displayed a σ1Ki value <20 nM in guinea pig homogenate,
except ent-38 and 43. In general, N-benzyl derivatives 38, ent-38, 39, and ent-39 unveiled better σ1Ki values for the 1-naphtylmethyl
and biphenylmethyl
derivatives 40–43 and ent-40–43 in both animal and human radioligand binding
assays (σ1Ki RPMI 8226
cell line <3.0 nM). Interestingly, the 1S,4R,7S configuration ensured the best σ2Ki/σ1Ki selectivity ratio (90-fold for ent-39, 230-fold for ent-41, and 55-fold for ent-43). Among all compounds, the naphtylmethyl derivative ent-41 showed the best affinity toward the σ1R (σ1Ki guinea pig brain = 0.50 nM).
Generally, stereochemistry seemed to not represent a relevant factor
for proper binding to the σ1R. Surprisingly, structure
rigidification did not significantly improve the σ1Ki values for this class of compounds.
Indeed, the authors compared the Ki values
of these novel bicyclic piperazines with those of their parent hydroxyethylpiperazines and saw that they were more or less superimposable.Molecular modeling studies were performed in order to explain these
unexpected results. For both classes of compounds, binding free energy
values were calculated and compared. Results showed that rigidification
of the flexible hydroxyethyl piperazine structure into the 2,5-diazabicyclo[2.2.2]octane
scaffold determined a slightly favorable increase of the entropic
binding component value. The enthalpic–entropic compensation
observed for the 2,5-diazabicyclo[2.2.2]octane class of compounds
determined binding free energy values perfectly comparable with the
binding free energy values calculated for their parent hydroxyethylpiperazines. In addition, these studies also highlighted the binding
determinants of bicyclic piperazine derivatives as follows: (i) the
cyclohexyl methyl moiety is buried in a hydrophobic pocket of the
receptor; (ii) the aromatic portion of the molecule is involved in
the formation of π–π and π-cation interactions;
(iii) the nitrogen atom linked to the aryl methyl moiety establishes
a salt bridge bond with the carboxylic residue of Asp126; and (iv)
the hydroxy group assumes the role of a HBA (Figure ).
Figure 16
(A) 2D schematic representation of the identified
interactions
between compound 42 and the main amino acid residues.
(B) 3D protein–ligand binding interactions of compound 42 with the σ1R homology model. Color-coded
as follows: PI (red), HYAr or HYD (light blue), HY (pink), HBA (light
green), π-interactions (Arg119 and Tyr120, cyan), salt bridge
(Asp126, red), hydrophobic interactions (Ile128, Phe133, Tyr173, and
Leu186, purple), and hydrogen bond (Thr181, green). Adapted with permission
from ref (132). Copyright
2016 American Chemical Society.
(A) 2D schematic representation of the identified
interactions
between compound 42 and the main amino acid residues.
(B) 3D protein–ligand binding interactions of compound 42 with the σ1R homology model. Color-coded
as follows: PI (red), HYAr or HYD (light blue), HY (pink), HBA (light
green), π-interactions (Arg119 and Tyr120, cyan), salt bridge
(Asp126, red), hydrophobic interactions (Ile128, Phe133, Tyr173, and
Leu186, purple), and hydrogen bond (Thr181, green). Adapted with permission
from ref (132). Copyright
2016 American Chemical Society.Cytotoxicity studies on 2,5-diazabicyclo[2.2.2]octanes 38–43 and ent-38–43 were performed using the crystal violet assay in seven cancer cell
lines: 5637 and RT-4 (bladder cancer), DAN-G (pancreatic cancer),
MCF-7 (breast cancer), A427 (small-cell lung cancer), and LCLC-103H
(large-cell lung cancer). Compounds 40 and 41 displayed unselective growth inhibition, whereas the 5637 cell line
was slightly sensitive to compounds ent-38, 39, ent-41, and 42. Except for unselective
cytotoxic compounds 40 and 41, the otherbicyclic piperazines exhibited potent IC50 values ranging
from 1.6 to 4.3 μM for the A427 cell line. The higher susceptibility
of A427 cells can be attributed to their overexpression of σ1Rs,[130] as previously stated for
spiropiperidines 16–21. In depth
studies on double-stained A427 cells with annexin V-FITC and propidium
iodide were made to investigate apoptosis induction by compounds ent-38 and ent-40–42. After
24 h, the biphenylmethyl compoundent-42 caused the appearance
of about 40% of early apoptotic cells. On the other hand, all other
tested compounds induced apoptosis only after 48 h. Considering that
the induced growth inhibition effect mediated by these compounds on
A427 cells was similar to that of haloperidol, the authors assumed
that 2,5-diazabicyclo[2.2.2]octanes acted as σ1R
antagonists. However, we would like to stress that as a good practice
in defining the putative functional role of new σR ligands,
additional in vivo studies (e.g., formalinmice assay)
are needed to validate such generalizations.
Selective σ2R Ligands
To date, the
development of truly selective σ2R
ligands has been challenging due to the vast and heterogeneous range
of structures that can fit into the σ2R binding site.
These chemical classes include conformationally restricted amines
(e.g., benzomorphan-7-one, granatane, and methanobenzazocine derivatives),
indole analogs compounds (e.g., siramesine-related derivatives),[133] and cycloalkyl amines with a flexible alkyl
linker (e.g., N-cyclohexylpiperazine, N-(4-fluorophenyl)piperazine, and 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
derivatives).[134−136] A few examples of such representative structures
are depicted in Figure . Concerning their cytotoxicity properties, siramesine showed
to induce cell death through a p53- and caspase-independent apoptotic
pathway.[72] On the other hand, the dose-dependent
effect exerted by the tropane derivative RHM-138 was mediated by caspase-dependent
apoptosis.[137] The highly selective granatane
derivative WC-26 and the cyclohexylpiperazine derivative PB28 enhanced
the cytotoxicity of existing anticancer drugs, such as doxorubicin,
by increasing the intracellular reactive oxygen species (ROS) or decreasing
the expression of the P-glycoprotein (P-gp), respectively.[138,139] Finally, benzamide derivative RHM-1 did not induce cytotoxicity
and caspase-3 activation. However, due to the favorable binding profile,
it was radiolabeled and further developed as a PET tracer for cancer
diagnosis.[140]
Figure 17
Representative structures
for different chemical classes of σ2R ligands.
Representative structures
for different chemical classes of σ2R ligands.
The σRs’ ability to bind
tropane-based molecules, including cocaine,[141] drove much of the early interest in the development of this class
and structurally related compounds such as granatane derivatives.[138,142,143] In 2010, Hornick et al. evaluated
the capability of a novel granatane-based σ2R ligand
to induce apoptosis and augment standard chemotherapy in pancreas
cancer.[144] SW-43, bearing a 9-azabicyclo[3.3.1]nonan-3α-yl
ring with an aminoalkyl extension, showed a higher effect on tumor
cell viability when compared to the structural related analog SV-119
(Figure ), even
though a loss of σ2R affinity and selectivity occurred.
Indeed, shortening the length of the aminoalkyl chain from 10 (SW-43)
to 6 (SV-119) carbons increased the σ1Ki/σ2Ki selectivity
ratio significantly (19 vs 273).[143] However,
the higher lipophilicity of SW-43 might have helped to enhance the
membrane diffusion into the cell.[144] Moreover,
the in vivo antitumor effects of the commercially
available siramesine were also compared with that of the two granatane-based
compounds. Thus, σ2R ligands treatment decreased
tumor volume to the same extent as gemcitabine, while the combination
of compound SW-43 with gemcitabine resulted in a superior effect in
the stabilization of tumor volume than other tested compounds.[144]
Figure 18
Chemical structure and σRs binding profile
of selective N-substituted 9-azabicyclo[3.3.1]nonan-3α-yl
phenylcarbamate
derivatives and conjugated derivative SW III-123.
Chemical structure and σRs binding profile
of selective N-substituted 9-azabicyclo[3.3.1]nonan-3α-ylphenylcarbamate
derivatives and conjugated derivative SW III-123.The primary amine function of compound SW-43 was successively condensed
with 4-chloro-7-nitrobenzo-2-oxa-1,3-diazole or 5-(dimethylamino)naphthalene-1-sulfonyl
chloride (Figure ), which acted as fluorophores, to develop novel fluorescent σ2R selective ligands SW-120 and SW-116 for imaging of cell
proliferation.[145] SAR analysis on granatane
analogs suggested that a broad range of N-substitutions
of the 9-azabicyclo[3.3.1]nonane was highly tolerated. Indeed, the
introduction of extraordinarily long and large substituents (e.g.,
ω-amino groups and substituted benzo-fused heterocycles) did
not affect σ2R affinity and selectivity significantly
(WC-26 vs SV-119), while the N-substitution bearing
an additional nitrogen atom located at least five carbon units apart
led to increased affinity for the σ2R. Finally, the
presence of aryl groups on the N-substituent was
not essential for both affinity and selectivity for the σ2R (SW-43), although it was permitted.In a follow-up
study, the structure of SW-43 was conjugated with
that of a second mitochondria-derived activator of caspase (SMAC)
compound to develop an innovative class of tumor-targeting drug delivery
agents for treating ovarian cancer.[146] As
a result, the new hybrid compound named SW III-123 (Figure ) retained a sufficient σ2R affinity to allow the successful delivery of the SMAC compound
into ovarian cancer cells. The finding was supported by the potent
cytotoxic effect of the new compound toward different human ovarian
cancer cell lines (i.e., SKOV-3, CaOV-3, and BG-1) after 24 h treatment,
which was not due to synergistic effects of the two molecules since
their combination produced less cytotoxicity than the conjugated compound.[146] The strategy proposed by Zeng et al. was an
interesting attempt; however, a significant limitation is the absence
of either improved cytotoxic effect or synergism between the simultaneous
modulation of the two targets. From our perspective, a different conjugation
strategy (e.g., not cleavable vs cleavable linker) of the two active
small molecules might be beneficial to overcome this issue. Therefore,
as a future investigation, we suggest applying the mutual prodrugs
approach to develop novel conjugates with bivalent function, that
is, to obtain the synergistic effect and develop an effective drug
delivery system. Consequently, by using selective σ2R ligands as a suitable promoiety, it might be possible to take advantage
of both its antiproliferative effect (active promoiety) and tumor-targeting
drug delivery properties (carrier promoiety).
Siramesine (Figure ) has been reported, by Perregaard et al.
in 1995, as a first selective σ2R ligand with relatively
low affinity for additional off-targets, including 5-HT1AR, 5-HT2AR, D2R, and α1R.[133] Although siramesine was initially developed
as a nontoxic CNS agent with potent anxiolytic activity,[147−150] later, it has been extensively evaluated both in vitro and in vivo for its antitumor properties and used
as a reference σ2R agonist accordingly.[151−155] Nevertheless, it has been demonstrated that siramesine-mediated
cell death was likely due to the modulation of multiple molecular
targets rather than through exclusively σ2Rs activation.[156] Precisely, siramesine seemed to act as a lysosomotropic
agent able to impact lysosomal membrane permeabilization and leakage,
leading to increased ROS and triggering apoptosis signaling and cell
death.[72,152] More recently, the combination of siramesine
and lapatinib (a dual tyrosine kinase inhibitor) was reported to induce
cell death in MDA MB-231 and SKBR3breast cancer cell lines mediating
ferroptosis and autophagy through an unclear synergistic effect.[157]Since its discovery, the chemical structure
of siramesine has been manipulated to obtain improved highly selective
indole analogs (Figure ). Mainly, modification of both the indole scaffold and the
spiropiperidine moiety was carried out; thus, structural determinants
for this class of σRs ligands were extensively explored.[109,110,158,159]
Figure 19
Early structural modification of siramesine and its analogs 44–48.
Early structural modification of siramesine and its analogs 44–48.EarlierSAR studies on indole analogs revealed that a concurrent
presence of a butyl chain as a spacer and a 4-fluorophenyl substituent
at the indole ring increased the σ2R selectivity
considerably.[133] On the other hand, the
arylpiperidine moiety induced higher σRs affinity than arylpiperazine
(45 vs 44), while their replacement with
a spiro[isobenzofuran-l(3H),4′-piperidine]
resulted in a more selective compound (siramesine vs 44 and 45). Concerning the σ1Ki/σ2Ki selectivity ratio, the best result was obtained by the tropane
derivative 46.A subsequent study aimed to determine
the structural elements leading
the σRs affinity and selectivity within the indole analogs class
was performed by synthesizing spiro-joined benzofuran, isobenzofuran,
and benzopyran piperidine derivatives.[109] Accordingly, two major critical features were found: (i) larger
lipophilic N-substituents at the spiro-joined isobenzofuran
ring promoted the σ2R affinity (H < Me < Et
< i-Pr < n-Pr < n-Bu < (CH2)4Ph); and (ii) a substituent
at the benzene ring of the spiropiperidine system greatly affected
the σ1R/σ2R ratio (i-Pr < Me < 4-CF3 < 4-F <
7-F), as exemplified by 47, while changing in the geometry
of the spiro-system (e.g., benzofuran and benzopyran) decreased the
σ2R affinity. Finally, exchanging the isobenzofuran
portion of siramesine with the thioisobenzofuran moiety further increased
the σ2R selectivity (siramesine vs 48).Niso et al. described the development of novel σ2R agonists as possible antitumor agents in multidrug-resistant
cancers.[158] The newly synthesized compounds
possessed different
and heterogeneous scaffolds, such as 1-(4-fluorophenyl)-1H-indole, 1H-indole, 5-methoxy-1,2,3,4-tetrahydronaphthalene,
and 9H-carbazole, which were selected based on the
structure of different reference compounds, for instance, siramesine,
PB28, and F281 (Figure ). Also, to combine the structural features probably responsible
for high σ2R affinity, specific cyclic amine moieties
(Figure ) were alternatively
connected to the scaffolds forming four different series. Among the
indole series, the N-substituted analogs were more
selective for the σ2R than N-unsubstituted
ones (49 vs 50). Thus, the authors suggested
that the preferred σ1R affinity observed for indole
analogs might be due to an additional hydrogen bond formed between
the NH group belonging to the indole and the σ1R.
These data were consistent with that previously reported by Perregaard
et al. On the other hand, the σ1R affinity value
of siramesine (Ki = 10.5 nM, Figure ) was found to
be much higher than discovered initially, causing a tremendous reduction
of the σ1Ki/σ2Ki selectivity ratio.[158] For the sake of clarity, these inconsistent
data are indeed most likely due to the slightly different binding
protocols adopted. Similarly, PB28, originally described as a high-preferred
σ2R agonist (σ1Ki/σ2Ki =
40), was found to possess a more significant affinity for the σ1R (σ1Ki = 0.38
nM and σ2Ki = 0.68 nM).
Despite the σ1R/σ2R mixed profile
of PB28, this cyclohexylpiperazine derivative emerged as one of the
most potent putative σ1R antagonist/σ2R agonist known until today, and as we will discuss in the next section,
it has been extensively studied both for its biological activity and
the SAfiRs as a lead compound.[160] Interestingly,
PB28 has been recently tested for its in vitro anti-SARS-CoV-2
activity, and it was found to be more potent and less cardiotoxic
than hydroxychloroquine, supporting further studies as a promising
pan-viral candidate.[161]
Figure 20
General structure and
σRs binding profile of siramesine-related
derivatives.
General structure and
σRs binding profile of siramesine-related
derivatives.Compound 49 (Figure ), a siramesine
analog, displayed notable σ2R selectivity over the
σ1R subtype as well
as significant antiproliferative activity in humanbreast cancer cells,
either sensitive or resistant to doxorubicin (EC50 = 17.8
and 21.8 μM, in MCF-7 and MCF-7/dox, respectively). Furthermore, 49 interacted with P-gp stronger than siramesine (EC50 = 0.21 and 1.41 μM, respectively) and restored the antitumor
activity of doxorubicin after co-administration with it, suggesting
efficacy in cells with P-gp-induced resistance.[158]In 2015, Xie et al. reported the synthesis, SAfiRs,
and antiproliferative
activity of a series of indole-based σ2R ligands
derived from siramesine.[159] To develop
new σ2R ligands and find valuable radiotracers for
tumor imaging, the authors applied three different modifications to
the siramesine’s structure (51–53, Figure ). Notably,
both the spiro-joined isobenzofuran and the indoleN-substitution regions of siramesine were explored by replacing them
with different preferred σRs cyclic amines, including 5,6-dimethoxyisoindoline
(51), 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline (52), 4-phenylpiperidine-4-carbonitrile (53),
and different fluoroalkoxy-phenyl-piperazines (not shown), or with
a 2-fluoroalkyl group (52) and a N-(4-iodophenyl)
group (53), respectively. Subsequently, both portions
were concurrently modified, like in 53. SARs performed
on this series were consistent with previously reported studies, confirming
the critical role of both the σ2R-preferred cyclic
amine motif and the N-(4-fluorophenyl)indole scaffold
to increase the σ2R affinity and selectivity. On
the other hand, a consistent discrepancy in the σ2Ki values with those reported by Niso et al. was
observed for compound 49 (σ1Ki = 530.8 nM and σ2Ki = 49.2 nM vs σ1Ki = 1,390 nM and σ2Ki = 5.34 nM) which resulted in a substantial loss of subtype
selectivity (σ1Ki/σ2Ki = 260 vs 11). Nevertheless,
compounds 49 and its 5,6-dimethoxyisoindolineanalog (51) (σ1Ki = 255.6
nM and σ2Ki = 53.8 nM)
were tested in the 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium
bromide (MTT) assay to evaluate their antiproliferative activity in
DU145, MCF-7, and C6 cancer cells along with siramesine used as a
reference compound. Both compounds showed EC50 values comparable
to that of siramesine in all the tested cell lines, with the highest
antiproliferative activity exerted by 51 in MCF-7 cells
(EC50 = 17.0 μM). Moreover, cell cycle analysis using
flow cytometry revealed that 49, 51, and
siramesine induced G1 phase cell cycle arrest in DU145
cells.
Figure 21
General structure and σRs binding profile of siramesine-related
derivatives 51, 52, and 53.
General structure and σRs binding profile of siramesine-related
derivatives 51, 52, and 53.Very recently, compound 49, with other
two low-affinity
σ2R ligands (not shown), was reported as the first-in-class
multidrug resistance-associated protein 1 (MRP1) modulator acting
as a collateral sensitizer.[162] Highercytotoxicity
effects were observed in the MRP1 overexpressing cells (i.e., MDCK/MRP1
and A549/DX) than in the wild-type counterparts, supporting the involvement
of the collateral sensitivity-mediated activity. Furthermore, co-administration
of 49 with cisplatin in a A549/DX xenografts model showed
a significant reduction in tumor growth, while the single-agent administration
did not.[162]
Cycloalkyl
Amines with Flexible Alkyl Linker:
Substituted Piperazine/Piperidine and Tetrahydroisoquinoline Derivatives
Cyclohexylpiperazine and Cyclohexylpiperidine
Analogs
Cyclohexylpiperazine derivatives represent a broad
set of well-studied σRs ligands, with PB28 (Figure ) being the prototype compound
for this class. This tetralin-based σR-preferred ligand has
been extensively investigated for its anticancer properties,[36,41,163] and many PB28 related analogs
were prepared over the past years.[164] Particularly,
specific modifications of the PB28 structure, aiming to obtain optimal
log P and log D values to reduce
nonspecific binding and improve cancer cells intake of new analogs,
were performed.[103] With this in mind, in
2011, Abate et al. synthesized new PB28 analogs with reduced lipophilicity
by introducing a polar functional group (i.e., amine, amide, or ether
group) in the propylene linker or by replacing the tetralin with a
chromane nucleus (Figure ). In addition, pure enantiomers were obtained whenever possible,
and a naphthalene ring instead of the tetralin one was used to evaluate
the effect of the chirality on the σ2R affinity.
Unfortunately, none of the newly less lipophilic analogs showed better
affinity or selectivity than PB28. Compound 54 (Figure ) displayed the
best binding profile through the series and suitable lipophilicity
to entertumor cells. However, 54 did not exert antiproliferative
activity in SK-N-SH cells, while it showed specific activity toward
the P-gp efflux pump (EC50 = 8.1 μM), suggesting
a few limitations in its further development as a diagnostic or therapeutic
agent.
Figure 22
General structure of PB28 analogs with reduced lipophilicity and
σRs binding profile of compound 54.
General structure of PB28 analogs with reduced lipophilicity and
σRs binding profile of compound 54.Interestingly, these results, along with previously reported
ones
from the same authors,[165] supported the
fact that lipophilicity played a pivotal role in the σ2R activity. In contrast, the enantioselectivity had only a marginal
effect on receptor subtypes interactions. Based on σRs binding
data and the extensive modifications performed on PB28 structure (55–58 and PB221, Figure ), the following SAfiRs can be summarized:
(i) introduction of a polar functional group either in the propylene
linker or in the tetralin scaffold of PB28 reduced the σ2R affinity (PB28 vs 55 and 56);
(ii) piperazine ring replacement or opening led to decrease of the
σRs affinity (PB28 vs PB221); (iii) modification of the N-atom connected to the cyclohexyl group (e.g., substitution,
quaternization or incorporation into an amide function) mainly affected
the affinity at the σ1R subtype (PB28 vs 57); however, the presence of both basic N-atoms is
needed for higher σ2R affinity; and (iv) a cyclohexyl
group as a substituent at the piperazine ring is optimal for the σRs
affinity (PB28 vs 58).
Figure 23
Representative structural modification
for PB28 analogs on propylene
linker and tetralin scaffold (55 and 56),
piperazine ring (PB221), basic N-atom (57), piperazine substitution (58).
Representative structural modification
for PB28 analogs on propylene
linker and tetralin scaffold (55 and 56),
piperazine ring (PB221), basic N-atom (57), piperazine substitution (58).The preclinical efficacy toward pancreatic tumor models of PB28-related
compounds, including F281 and PB221, was investigated by Pati et al.[36] The cytotoxic effect after 24 h exposure to
the tested compounds was assessed on different human and mouse pancreatic
cancer cell lines (i.e., MIAPaCa-2, BxPC3, AsPC-1, Panc-1 and Panc02,
KP-2, and KCKO, respectively). Heterogeneous outcomes on cell viability
were observed in a cancer cell lines manner. For example, the cytotoxic
effect was more significant for specific cell lines such as Panc02,
while AsPC1 and Panc-1 resulted in the most resistance among the selected
cell lines. Among the tested ligands, both F281 and PB221 displayed
the best in vitro antiproliferative profile toward
the cells panel. A significant increase in caspase-3 in vitro activity was detected for PB221, supporting the caspase-dependent
apoptotic pathway mediated by its σ2R activity. Also,
a substantial increase in mitochondrial superoxide radical production
was observed. On the other hand, generally, a poor match between in vitro and in vivo efficacy occurred,
except for daily treatment with PB28, which produced a similar in vivo effect to that of gemcitabine alone. To justify
these results, the authors suggested the formation of active metabolites
for the most potent compounds. However, no metabolic stability studies
were performed to support this speculation.Very recently, the
antitumor effect of the 4-cyclohexylpiperidine
derivative PB221 on an anaplastic astrocytoma tumor model has been
explored.[79] To pursue this goal, both the
murinebrain tumor cell line ALTS1C1 and the murine pancreatic cell
line UN-KC6141 were initially used to examine the compound’s
cytotoxic properties. The IC50 values of PB221 were found
to be 10.61 μM and 13.13 μM for ALTS1C1 and UN-KC6141
cell lines, respectively. However, α-tocopherol (but not N-acetylcysteine) counteracted these effects, suggesting
the involvement of mitochondrial superoxide production.[79] Besides, in vivo studies performed
on C57BL/6 J mice showed that PB221 delayed tumor growth up to 36%
compared to the control and increased the survival time from 26 to
31 days in the orthotopic tumor model. Interestingly, PB221 was well
tolerated at the tested dose (1 mg/mouse/injection), showing similar
side effects to the approved drug Temozolomide.
N-(4-Fluorophenyl)piperazine
Analogs
McCurdy and co-workers carried out extensive research
on developing selective σ2R probes to elucidate the
receptor’s functional roles in several medical conditions,
including cancer.[51,55,138][112,166,167] Notably,
in 2015, Nicholson et al. reported the pharmacological characterization
of a σ2R-preferred ligand bearing the N-(4-fluorophenyl)piperazine as a cyclic amine moiety (CM572, Figure ).[166] This new compound was initially developed within
a set of isothiocyanate analogs of SN79 (Figure ), a well-characterized mixed σ1R/σ2R antagonist (σ1Ki = 27 nM, and σ2Ki = 7 nM). To obtain irreversible σ2R
binding, the authors incorporated the isothiocyanate group at the
6-position of the 1,3-benzoxazol-2(3H)-one scaffold.
Furthermore, the introduction of the 6-isothiocyanate moiety (CM572)
instead of the 6-acetyl group (SN79) was detrimental for the σ1R binding, with a consequent increase of the σ2R selectivity (σ1Ki/σ2Ki = 685, Figure ). Interestingly, CM572 showed a dose-dependent
calcium response in a neuroblastoma cancer cell line (SK-N-SH) at
higher doses, supporting its partial agonist properties at the σ2R. Subsequently, the cytotoxicity of CM572 was evaluated against
three different cancer cell lines (i.e., SK-N-SH, PANC-1, and MCF-7)
as well as toward normal cells such as primary epidermal melanocytes
and human mammary epithelial cells. As a result, the cytotoxic effect
for CM572 was higher in cancer cells than normal cells, significantly
CM572 showed to induce dose-dependent cell death (EC50 =
7.6 μM) after 24 h treatment of SK-N-SH cells.[166]
Figure 24
Chemical structure and σRs binding profile of N-(4-fluorophenyl)piperazine derivatives.
Chemical structure and σRs binding profile of N-(4-fluorophenyl)piperazine derivatives.The same research team investigated the non-apoptotic and
stimulatory
effects on glycolytic cellular metabolism exerted by some of their
σ2R selective ligands. In particular, based on the
pharmacological characterization of compound CM764, a new metabolic
regulatory function for σ2R was proposed. The novel
benzoxazolone analog of SN79, which differed from the parent compound
only in the amino group at 2-position of the 4-fluorophenylpiperazine
moiety (Figure ),
was initially assessed in a radioligand binding competition assay,
revealing 25-fold selectivity over the σ1R with an
improvement in the σ2R affinity (CM764 vs SN79).
Interestingly, CM764 increased the MTT reduction in SK-N-SH neuroblastoma
cells without inducing changes in cell viability or cell proliferation.
In addition, the increase in MTT reduction was partially or entirely
blocked by different σ2R antagonists, suggesting
a σ2R-mediated mechanism. Moreover, the overall stimulatory
effect included an increased level of NAD+/NADH and ATP,
a reduction in ROS, and an increment of both the hypoxia-inducible
factor 1α and the vascular endothelial growth factor levels.
Altogether, the data suggested that σ2R ligands with
different functional profiles could modulate dual cellular pathways
(death vs survival).[112]In a more
recent study, the divergent cytotoxic and metabolically
stimulative effects of N-(4-fluorophenyl)piperazines
were further examined.[167] Also, the structural
determinants required to design selective σ2R with
predicted dual functions were analyzed. The tested series encompassed
σR ligands structurally related to compounds CM572 and SN79
(included), where single-element variations at the 6-position of the
1,3-benzoxazol-2(3H)-one, 3-methyl-1H-benzimidazol-2-one, and 1,3-benzothiazol-2(3H)-one
heterocyclic systems were applied (CM458, WA403, and WA435, Figure ). Compound CM458
bearing a nitro functional group at the 6-position of the benzoxazolone
ring stood out for its subnanomolar affinity at the σ2R (Ki = 0.56 nM), while the 5-amino-3-methyl-benzimidazolone
analog WA403 showed the best selectivity ratio (σ1Ki/σ2Ki = 167) among the series. Generally, an isothiocyanate
group as a substituent reduced the σ1R affinity,
thus increasing the σ2R selectivity (CM572 and WA435
vs SN79, Figure ). However, for the benzothiazolone analog WA435, the loss of σ1R affinity was less remarkable. Notably, the new SN79 analogs
were at least 25-fold more selective for the σ2R
than the parent compound. Concerning the divergent effects elicited
by N-(4-fluorophenyl)piperazine analogs, the following
SARs were found: (i) introduction of the 6-isothiocyanate group, regardless
of heterocycle, potently induced programmed cell death most likely
due to the irreversible receptor binding; (ii) substitution at the
6-position with acetyl, nitro, amino, or fluorine did not produce
a significant cytotoxic effect; therefore, the presence of a highly
electron-withdrawing group is not sufficient to obtain cytotoxicity;
and (iii) changing in the heterocycle system was not decisive for
the divergent effect. Finally, other non-isothiocyanate derivatives,
including SN79, possibly acting as putative σ2R antagonists,
were tagged as “neutral” since they produced neither
programmed cell death nor metabolic stimulation.[167]An interesting aspect of the SARs studies by Nicholson
et al. is
the proposed irreversible binding to the σ2R for
the 6-isothiocyanate derivatives which is possibly responsible for
their cytotoxic properties. This effect on cell viability has been
examined by extensive washing of SK-N-SH neuroblastoma cells after
an acute exposure with the tested compounds followed by an incubation
period with fresh media. Particularly, the 6-isothiocyanate derivatives
might mediate the irreversible binding via covalent bond formation
with specific amino acid residues bearing a nucleophilic group (i.e.,
serine and cysteine) within the σ2R binding pocket.
From our standpoint, an integrated approach involving the synthesis
of a larger set of various properly substituted derivatives (e.g.,
Michael acceptors) and in silico molecular modeling
studies might help to define the exact mechanism of the irreversible
binding mode.
Similar to the N-cyclohexylpiperazine
and the N-(4-fluorophenyl)piperazine, the 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
moiety has been extensively used as a suitable σ2R-preferred cyclic amine fragment to develop selective σ2R ligands. To this extent, 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinolinoalkylbenzamide derivatives (general structure, Figure ) can be considered the most representative
σ2R ligands prototype, even though Mach et al. initially
developed them as a set of mixed dopamine receptor D3 and
σ2R ligands.[168] Indeed,
since their discovery, this specific class of conformationally flexible
amines showed high affinities and attractive selectivity for σ2R, making them useful chemical probes for imaging the σ2R in tumors with PET.[76,169] A few examples of
early developed 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline analogs
possessing a flexible benzamide scaffold (59–64) are depicted in Figure .[136,168] SARs studies on this first set
of ligands elucidated the structural features required for high σ2R affinity and selectivity. The introduction of the 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
gave superb selectivity (σ1Ki/σ2Ki = 1573)
with a considerable reduction of binding with the dopamine receptors
(59, Figure ). Alkyl chain shortening, from four to two methylene units,
did not affect the σ2R affinity (59 vs 60). Similarly, removing the methoxy group at the 3-position
of the benzamide ring did not significantly reduce the σ2R affinity nor the selectivity (61 vs 59 and 60). The introduction of methyl instead of bromo
group was highly tolerated (62 vs 61). Regarding
the 1,2,3,4-tetrahydroisoquinoline moiety, fusing methylene-, ethylene-,
and propylenedioxy rings onto the tetrahydroisoquinoline ring was
detrimental for both the affinity and selectivity at the σ2R (63 vs 59). Furthermore, the tetrahydroisoquinoline
ring-opening led to an ultimate loss of affinity for the σ2R (64 vs 59).[136,168]
Figure 25
Chemical structure and σRs binding profile of early 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
analogs 59–64, reported by Mach and
co-workers.
Chemical structure and σRs binding profile of early 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
analogs 59–64, reported by Mach and
co-workers.As an extension of their previous
works on selective σ2R ligands, Sun et al. synthesized
a new series of 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
analogs without the benzamide moiety.[170] In this new series, substituted benzene and quinazolin-4(3H)-one fragments acting as electron-deficient or electron-rich
aromatic portions were linked through different alkyl length chains
to the 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline moiety (general
structures A and B, Figure ). Unlike the quinazolin-4(3H)-one analogs,
the new 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline derivatives showed
high σ2R affinities with a good selectivity ratio
(65 and 66, Figure ). Specifically, the ketone reduction to
the corresponding hydroxyl group was broadly tolerated without affecting
the affinity and selectivity at the σ2R (65 vs 66). On the other hand, the introduction of an electron-deficient
aromatic moiety such as the quinazoline scaffold as a hydrophobic
domain led to a decrease of affinity and selectivity (e.g., 67 vs 65). Compound 66, possessing
an excellent selectivity ratio, produced a cytotoxicity effect toward
two different cancer cell lines (EC50 = 12.50 μM
for liverHuh-7, and EC50 = 14.86 μM for esophagus
KYSE-140) similar to that of cisplatin (EC50 = 15.31 μM
and 21.34 μM, respectively). Surprisingly, compound 65 which shows a close σRs binding profile to analog 66 did not show any effect, suggesting that the biological activity
might not be σ2R mediated.
Figure 26
Chemical structure and
σRs binding profile of 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
analogs 65–67.
Chemical structure and
σRs binding profile of 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
analogs 65–67.Very recently, Xie et al. further developed the series mentioned
above by analyzing the impact of introducing additional methoxy groups
to the tetrahydroisoquinoline moiety on the σRs binding profile.
In particular, to increase the affinity and selectivity toward the
σ2R subtypes, the electron-rich 2,3,4,5-tetramethoxytoluene
scaffold was used as a hydrophobic portion (general structure, Figure ). The new di-
and trimethoxy-substituted tetrahydroisoquinolin-2-alkylphenones showed
moderate to high affinity and selectivity for the σ2R. Analog 68 (Figure ), bearing a five methylene linker between the phenonecarbonyl portion and the 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
moiety, displayed the highest affinity and selectivity for the σ2R among all the benzamide derivatives reported so far (68 vs 59 and 65). Replacement of
6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline moiety with 5,6,7-trimethoxy-
or 6,7,8-trimethoxy-1,2,3,4-tetrahydroisoquinoline moieties led to
a decrease in affinity for σ2R (68 vs 69 and 70). Despite the favorable σRs binding
profile, no significant inhibitory effects on MCF-7 cancer cell lines
were observed. Indeed, functional studies performed by measuring intracellular
calcium concentration allowed their classification as putative σ2R antagonists.[171]
Figure 27
Chemical structure and
σRs binding profile of 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
analogs 68–70.
Chemical structure and
σRs binding profile of 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
analogs 68–70.In 2011, Abate et al. combined the structural determinants (i.e.,
benzamide scaffold and cyclic amine moieties) of their lead compound
PB28 with the highly potent and selective σ2R ligands
RHM-1 to develop new potential PET radiotracers.[172] Good results in terms of σ1Ki/σ2Ki selectivity
ratio were obtained by 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline
derivatives 71 and 72 (Figure ). However, the newly synthesized
ligands also interacted with P-gp (e.g., EC50 = 2.5 μM
for 72), hence, limiting their further development as
PET agents. A similar interaction with P-gp was observed for cyclohexylpiperazine
analogs 73 and 74 (Figure ), which also showed higher binding at the
σ1R with a parallel loss of σ2R
selectivity. These results are consistent with recent σ1R molecular models developed by Niso et al.[173] which showed that the two methoxy substituents belonging
to the tetrahydroisoquinoline ring might be placed in a sterically
hindered region within the secondary hydrophobic domain of the σ1R binding pocket.
Figure 28
Chemical structure and σRs binding profile
of compounds 71–75.
Chemical structure and σRs binding profile
of compounds 71–75.Interestingly, an intramolecular hydrogen bond between the
2-methoxy
substituent and the N-atom of the benzamide group
was proposed (general structure, Figure ), suggesting a bicyclic-like active conformation
for this set of derivatives.[172] Indeed,
this hypothesis was corroborated by the σRs binding profile
of the 3,4-dihydroisoquinolin-1(2H)-one derivative 75 (Figure ), in which the above-mentioned intramolecular bond has been mimicked
by a rigid ring.[172]Therefore, in
a subsequent study, Niso et al. further investigated
the role of bicyclic-preferred conformation proposed for flexible
benzamides as a suitable hydrophobic portion to target the σ2R.[174] The authors synthesized 3,4-dihydroquinolin-(1H)2-one and 1,2,3,4-tetrahydroquinoline derivatives along
with flexible anilide and aniline analogs linked to the 6,7-dimethoxy-1,2,3,4-tetrahydroisoquinolinoalkyl
portion. Also, considering the good σRs binding profile and
the appropriate lipophilicity showed by previously developed substituted
3,4-dihydroisoquinolin(2H)1-one derivatives (76 and 77, Figure ),[175] the introduction
of a 5-methoxy or 6-fluoro group in the new scaffolds was examined.
Binding studies showed that 3,4-dihydroquinolin-(1H)2-one (78) and 1,2,3,4-tetrahydroquinoline (79) derivatives exhibited excellent affinity and selectivity for the
σ2R, while the corresponding anilide (80) and aniline (81) analogs generally had a worse σRs
binding profile (Figure ). Notably, anilide derivatives showed a lower binding for
the σ2R than the corresponding anilines, probably
due to the lack of partial rigidification that might occur in anilines
because of the lone pair conjugation of the N-atom
with the benzene ring with a resulting resembling bicyclic framework.[174] These data confirmed that a rigid bicyclic
structure as a hydrophobic moiety was optimal for both affinity and
selectivity for the σ2R. Surprisingly, none of the
compounds exerted antiproliferative activity in human breast adenocarcinoma
MCF-7 cells. However, since the modest interaction with the P-gp (EC50 = 2.13 μM), appropriate lipophilicity (clogP = 3.94),
and the presence of easily radiolabeling functions (i.e., 3-methoxy
groups) of 79, the authors suggested its further development
as a possible PET radiotracer.
Figure 29
Chemical structure and σRs binding
profile of compounds 76–81.
Chemical structure and σRs binding
profile of compounds 76–81.
3-Alkoxyisoxazole Analogs
Very
recently, small molecules characterized by the presence of the 3-alkoxyisoxazole
moiety have been designed and evaluated for their potential binding
properties toward the σRs.[176] This
chemical scaffold was identified from the superimposition of the pharmacophoric
elements required for a righteous binding to both σ1 and α4β2 nicotinic receptors.[177] Compound 82 (Figure ) was detected as a σ1R ligand with
high affinity and selectivity over the σ2R subtype.
Structural modifications of compound 82 were conducted
to switch selectivity toward the σ2R and find potential
anticancer compounds. The general structure of the developed 3-alkoxyisoxazole
derivatives of 82 is depicted in Figure . Insertion of electron-withdrawing substituents
(fluorine, chlorine, trifluoromethyl) on the aryloxymethyl group linked
to the 5-position of the isoxazole ring led to increased affinity
values for the σ2R subtype. Particularly, meta-fluorine and meta-trifluoromethyl
substitutions were preferred concerning substitutions in ortho and para positions. The trifluoromethyl substitution
was more effective with a 15-fold increased σ2Ki (data not shown) with respect to 82. On the contrary, electron-donating substituents such as a methoxy
group had minor effects on the affinity with only a 2-fold increased
affinity for the σ2R. To further evaluate halogen
substituents’ effects, double substitutions were performed,
and optimal results were achieved with 3,4-dichloro-substituted aryl
rings (compound 83), with an increment of affinity of
28-fold compared to 82 (46.5 nM vs 1312 nM, respectively).
N-methylation of the pyrrolidine ring of 82 slightly
ameliorated the affinity for the σ2R, whereas replacement
of the 2-pyrrolidine ring with its 3-pyrrolidine isomer led to a 2-fold
improvement of σ2Ki values
and a substantial reduction of σ1R affinity for 82 (data not shown). Retention of the electron-withdrawing
substituents on the aromatic ring and insertion of a bulky aminoalkyl
chain on the N-atom of 2-pyrrolidine gave compounds 84–86, with an ameliorant of σ2Ki values from 4.5- to 6.0-fold
when compared to compound 83. Specifically, the best
σ2Ki value for compounds
with general structure A (Figure ) was obtained when the alkyl chain was made of four
carbon atoms (compound 86, σ2Ki = 7.92 nM). Derivatives 87–90 (general structure B, Figure ) were obtained by removing the pyrrolidine
ring in favor of cycloalkylaminoethoxy moieties. Better results were
obtained with unsubstituted six-membered rings. Indeed, the authors
pointed out that smaller rings favor stronger interactions with the
σ1R. On the other hand, more oversized rings increase
the σ2 affinity and selectivity (compare 87 vs 82). These results indicated that steric bulk plays
an important role in the proper binding to the σ2R for this class of compounds. Starting from 87 (σ2Ki = 22.8 nM), favorable substitutions
on the aromatic ring were repeated (i.e., insertion of electron-withdrawing
substituents) in order to further validate the results previously
discussed. As expected, insertion of a 3-trifluoromethyl group or
a 3,4-dichloro substitution on 87 determined a strong
increase of affinity for the σ2R getting one-digit
values ranging from 1.81 nM (compound 88) to 2.53 nM
(compound 89), while methylation of the nitrogen atom
of the cycloalkylaminoethoxy group slightly reduced the affinity (compound 90, 4.44 nM).
Figure 30
Chemical structures of 3-alkoxyisoxazoles 82–90 and their σRs binding profile.
Chemical structures of 3-alkoxyisoxazoles 82–90 and their σRs binding profile.Compounds 82–90 were tested on
two osteosarcoma cancer cell lines (143B and MOS-J cells). Despite
their strong σ2R affinity, compounds 88–90 did not show significant cytotoxic properties
as well as compounds 82–83 and 87. Interestingly, the bulkier derivatives 84–86 displayed cytotoxicity in both cell lines,
strengthening the previously discussed steric bulk hypothesis. In
particular, in the crystal violet assay, compound 86 exhibited
IC50 values of 0.89 μM and 0.71 μM for 143B
and MOS-J cell lines. Compared with siramesine (IC50 =
1.81 μM and 2.01 μM for 143B and MOS-J), compound 86 possessed more potent cytotoxic properties. Cytotoxicity
measured on healthy cells (human immortalized keratinocytes HaCaT
and human normal embryonic liver cells LO2) revealed IC50 values of 6.47 μM and >10 μM, respectively. Compound 86 also caused inhibition of colony formation of osteosarcoma
143B cells and interference with the cell cycle reducing the number
of cells in the S and G2M phases and blocking cells in
the G0G1 phase. Cancer cell death induction
was confirmed by the annexin V assay, where 33.4% of osteosarcoma
cells started apoptosis when a concentration of 5 μM of 86 was applied. These results did not exclude an eventual
involvement of σ1Rs in the cytotoxic properties of
this class of compounds. Nevertheless, the 3-alkoxyisoxazole chemical
scaffold could be further exploited to design novel σ2R ligands with augmented anticancer properties.
Conclusions
σRs represent a unique class of proteins
involved in many
physiopathological and pathological roles. Several immunohistochemical
and radioligand binding assay studies revealed that both receptor
subtypes are overexpressed in several cancer cell lines, suggesting
a potential role of these proteins in cancer progression and tumor
invasiveness. Moreover, the pharmacological modulation of σRs
through small molecules has been proved to be a promising approach
for developing novel therapeutics. However, although several studies
supported the search for novel compounds targeting σRs to treat
cancer, no compounds have reached the clinical phase yet. One of the
reasons for this might be related to the heterogeneous and promiscuous
biological effects exerted by certain σR ligands in preclinical
studies, which are also related to the inconclusive evidence about
the molecular role of the σRs in the etiopathogenesis and pathogenesis
of cancer. Thus, there is still a need to answer crucial questions
concerning the role and the involvement of σRs in tumor biology
to reveal the real potential and benefit of the clinical use of σRs
ligands in cancer chemotherapy. Indeed, an unambiguous characterization
of the biological target is essential to link its perturbation to
functional pharmacology. Moreover, several potent ligands, of both
σRs subtypes, showed poor pharmacokinetic profiles. This fact
hinders their clinical utilization as drugs and allows their use merely
as diagnostic or pharmacological tools such as radioligand probes
for PET scanning. We believe that this problem could be dealt with
using the following strategies: (i) optimizing the ADME properties
and the off-target effects, such as hERG binding, during the early
stages of drug design; (ii) using computational techniques when available,
such as QSAR and toxicity prediction machine learning methods, to
estimate the potential adverse effects of the drug candidates; and
(iii) repurposing of certain Food and Drug Administration approved
CNS drugs which, by definition, have well-established pharmacokinetic
and safety profiles. The drug repurposing approach is especially useful
in the case of σRs ligands because they already share some pharmacophoric
features with other ligands of certain CNS targets such as the opioid
and dopamine receptors, which is exemplified by the affinity of pentazocine
and haloperidol, respectively, to the σRs.As extensively
described in this perspective, tremendous efforts
to discover selective σR ligands with antiproliferative properties
have been made by medicinal chemists in the last 10 years. These efforts
led to the identification of various chemical prototypes; therefore,
for a comprehensive overview, a summary of this information has been
collected in Table .
Table 3
Summary of Chemical Classification,
Cancer Cell Lines, and Assays Used for the Biological Evaluation of
the Most Representative σR Ligands
Compound
Chemotype
Cell line
Biological test
Reference
σ1R Ligands
1
N,N-dialkyl and N-alkyl-N-aralkyl
fenpropimorph-derivatives
NCI-H460, DU145, MCF7, SKOV-3,
MB-MDA231
multiplex cytotoxicity
assays
(101)
2
SKOV-3
5
MCF-7
13, 14
spipethiane derivatives
MCF-7/ADR
annexin V-FITC assay, tail-flick assay
20, 21
spirocyclic thienopyran and thienofuran derivatives
It is worth noting
that the σ2R identity has been
established only recently, and no crystal structure has been reported
yet. Nevertheless, a variety of new selective σ2R
ligands have been recently discovered, and the specific overexpression
of σ2Rs in a broad panel of cancer cell lines has
been elucidated. As a result, the potential ability to pinpoint the
tumor cells in an early stage of the pathology makes σ2R ligands powerful molecular tools exploitable in diagnostics and
theranostics. Conversely, the study reported by Zeng et al.[37] proved that the cytotoxicity exerted by some
well-known σ2R ligands, including siramesine and
PB28, was independent of the modulation of the σ2R. This finding corroborates the hypothesis that multiple unknown
targets are likely involved in the observed cytotoxic effect mediated
by σ2R ligands, making the overall scenario very
intriguing. Besides, the recent identification by Abate and co-workers
of σ2R ligands that promote collateral sensitivity
in multidrug resistance cells further supports the hypothesis that
a direct correlation between σ2Rs modulation and
the observed cytotoxicity does not exist. Interestingly, collateral
sensitivity is a well-studied phenomenon in cancer research.[179] Thus, the development of new σR ligands
which exploit the mechanism of the synthetic lethality to induce selective
cytotoxicity is emerging as a new successful strategy in the field.[162]Despite the lack of homogeneous evidence
of one-to-one correspondence
between σRs modulation and cytotoxicity, the involvement of
these chaperons as key players in the tumor-supportive cellular machinery
has been proved. Recently, Maheret al.[180] described the ability of σRs ligands in regulating the programmed
death-ligand 1 (PD-L1) expression and activity in cancer cells, suggesting
a novel therapeutic strategy acting on tumor immune microenvironments.
Specifically, σ1Rs inhibition either by σ1R negative modulators or using shRNA-induced PD-L1 autophagic
degradation in breast and prostate cancer cells, suggesting the possibility
of combining σRs modulators with specific drugs that can induce
PD-L1 degradation (e.g., gefitinib), therefore enhancing the antitumor
activity.[181] However, the effectiveness
of possible drug combinations might be mitigated by undesirable drug
interactions and interferences. Alternatively, polypharmacology represents
a current paradigm to enhance the efficacy of new anticancer agents.[182,183] More specifically, in this case, selected molecular entities having
the ability to intercept other validated molecular targets involved
in the tumor progression and aggression can be effectively combined
with structural determinants belonging to σR ligands to obtain
novel multitarget ligands. As an example, Mangiatordi et al.[184] have recently described their perspective on
an innovative polypharmacology approach involving the concurrent targeting
of cannabinoid receptor subtype 2 (CB2R) and σRs
for cancer. Particularly, taking advantage of both the common pharmacophoric
elements and the anticancer activities of CB2R agonists
and σRs modulators, the authors proposed the development of
molecular hybrids, that is, dual CB2R/σR ligands,
potentially able to modulate different cancer pathways synergistically.We expect the interest in the development of σRs ligands
to continue for the next few years as tumor diagnostic tools as well
as chemotherapeutic agents, perhaps as adjuvant therapies. Moreover,
the availability of the σ1R crystal structure and
the potential crystallization of the σ2R in the near
future would give momentum to this research field. Finally, we believe
that the recent discovery of repurposing some σRs ligands for
fighting the early stages of COVID-19 could draw more attention to
these biological targets. Altogether, this article represents a comprehensive
literature review that might help to provide a reader with a perspective
on the development of potent σRs ligands as additional weapons
exploitable in anticancer therapy.
Authors: Kristen M Pluchino; Matthew D Hall; Andrew S Goldsborough; Richard Callaghan; Michael M Gottesman Journal: Drug Resist Updat Date: 2012-04-06 Impact factor: 18.500
Authors: Samuel D Banister; David T Yoo; Sook Wern Chua; Jinquan Cui; Robert H Mach; Michael Kassiou Journal: Bioorg Med Chem Lett Date: 2011-07-14 Impact factor: 2.823
Authors: Trent Conroy; Madhura Manohar; Yu Gong; Shane M Wilkinson; Michael Webster; Brian P Lieberman; Samuel D Banister; Tristan A Reekie; Robert H Mach; Louis M Rendina; Michael Kassiou Journal: Org Biomol Chem Date: 2016-10-04 Impact factor: 3.876
Authors: John R Hornick; Jinbin Xu; Suwanna Vangveravong; Zhude Tu; Jonathan B Mitchem; Dirk Spitzer; Peter Goedegebuure; Robert H Mach; William G Hawkins Journal: Mol Cancer Date: 2010-11-22 Impact factor: 27.401
Authors: Dario P Anobile; Mauro Niso; Adrian Puerta; Stephanie M Fraga Rodrigues; Francesca S Abatematteo; Amir Avan; Carmen Abate; Chiara Riganti; Elisa Giovannetti Journal: Molecules Date: 2022-03-04 Impact factor: 4.411
Authors: Catharina Holtschulte; Frederik Börgel; Stefanie Westphälinger; Dirk Schepmann; Gianluca Civenni; Erik Laurini; Domenico Marson; Carlo V Catapano; Sabrina Pricl; Bernhard Wünsch Journal: ChemMedChem Date: 2022-02-09 Impact factor: 3.540
Authors: Lisa L Wilson; Shainnel O Eans; Insitar Ramadan-Siraj; Maria N Modica; Giuseppe Romeo; Sebastiano Intagliata; Jay P McLaughlin Journal: Int J Mol Sci Date: 2022-01-06 Impact factor: 5.923