Literature DB >> 34076441

Recent Advances in the Development of Sigma Receptor Ligands as Cytotoxic Agents: A Medicinal Chemistry Perspective.

Antonino N Fallica1, Valeria Pittalà1, Maria N Modica1, Loredana Salerno1, Giuseppe Romeo1, Agostino Marrazzo1, Mohamed A Helal2,3, Sebastiano Intagliata1.   

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.

Entities:  

Year:  2021        PMID: 34076441      PMCID: PMC8279423          DOI: 10.1021/acs.jmedchem.0c02265

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


Introduction

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 Hanner et 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 hamper tumor 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), PGRMC1 KO, 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, Schläger et al. reported a series of spirocyclic pyranopyrazoles 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 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. 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, Meyer et al. reported a σ1R ligands pharmacophore based on a novel series of spirocyclic thiophenes 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 arylalkylethylenediamines BD1047 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 yeast sterol 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-H460H1299SKOV-3DU145MCF7MCF10AMB-MDA-231SF268HT-29HCT-15
140.52>10027.8532.6722.36>10057.12>100>100>100
2>100>10056.18>100>100>100>100>100>100>100
3>100>100>100>100>100>100>100>100>100>100
444.77>10020.15>10041.34>10068.12>100>100>100
5>100>100>100>10088.1>100>100>100>100>100
640.3290.81>10013.0616.7588.6321.6038.836.4254.12

Data from ref (101).

Data from ref (101). Compound 1 showed activity against NCI-H460, SKOV-3, DU145, MCF7, and MB-MDA-231 cancer 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 MCF7 cancer 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-231 tumor 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 carboncarbon 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/ADR cancer 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/ADR cancer 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/ADR cancer 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-1 mice 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). Meyer et 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 piperazine nitrogen 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 piperazine bicyclic 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 human tumor cell lines, including A427 (small-cell lung cancer), 5637 (bladder cancer), RT-4 (bladder cancer), 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, Weber et 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 human myeloma 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)
384.8363.2
ent-38231972.8
396.9602.4
ent-395.75011.6
408.05113
ent-40144038
417.11577.2
ent-410.501166.0
428.72027
ent-421120227
432333473
ent-431159324

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 hydroxyethyl piperazines 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 hydroxyethyl piperazines. 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 other bicyclic 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 compound ent-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., formalin mice 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.

Conformationally Restricted Amines: Selective Granatane Derivatives

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-yl phenylcarbamate 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-Related Compounds: Selective Indole Derivatives

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 SKBR3 breast 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. Earlier SAR 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 human breast 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 indole N-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] Higher cytotoxicity 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 enter tumor 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 murine brain 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.

6,7-Dimethoxy-1,2,3,4-tetrahydroisoquinoline Analogs

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-tetrahydroisoquinolinoalkyl benzamide 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 liver Huh-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 phenone carbonyl 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

CompoundChemotypeCell lineBiological testReference
σ1R Ligands
1N,N-dialkyl and N-alkyl-N-aralkyl fenpropimorph-derivativesNCI-H460, DU145, MCF7, SKOV-3, MB-MDA231multiplex cytotoxicity assays(101)
2SKOV-3
5MCF-7
13, 14spipethiane derivativesMCF-7/ADRannexin V-FITC assay, tail-flick assay 
20, 21spirocyclic thienopyran and thienofuran derivativesA427retinal ganglion assay, capsaicin assay, crystal violet assay, LDH assay(83111113178)
367,9-diazabicyclo[4.2.2]decane derivativeA427crystal violet assay(131)
ent-38, 40, ent-40, ent-41, 42, ent-422,5-diazabicyclo[2.2.2]octane derivativesA427crystal violet assay, annexin V-FITC assay(132)
ent-38, 39, ent-41, 425637
σ2R Ligands
SWIII-123granatane derivativeSKOV-3, CaOV-3, BG-1MTS assay(146)
49indole derivativesMCF-7, MCF-7/dox, DU145, C6, A549/DXMTT assay, cell cycle analysis(158159162)
51DU145, MCF-7, C6(159)
F281carbazole derivativePanc02MTT assay(36)
PB221tetralin derivativePanc02, ALTS1C1, UN-KC6141MTT assay, caspase-Glo assay(3679)
CM572, CM7641,3-benzoxazol-2(3H)-one derivativesSK-N-SHMTT assay(112166)
666,7-dimethoxy-1,2,3,4-tetrahydroisoquinoline derivativeHuh-7, KYSE-140CCK8 assay(170)
863-alkoxyisoxazole derivative143B, MOS-Jcrystal violet assay, annexin V assay(176)
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, Maher et 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.
  177 in total

Review 1.  Collateral sensitivity as a strategy against cancer multidrug resistance.

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

2.  Cyclohexylpiperazine derivative PB28, a sigma2 agonist and sigma1 antagonist receptor, inhibits cell growth, modulates P-glycoprotein, and synergizes with anthracyclines in breast cancer.

Authors:  Amalia Azzariti; Nicola A Colabufo; Francesco Berardi; Letizia Porcelli; Mauro Niso; Grazia M Simone; Roberto Perrone; Angelo Paradiso
Journal:  Mol Cancer Ther       Date:  2006-07       Impact factor: 6.261

3.  N-Arylalkyl-2-azaadamantanes as cage-expanded polycarbocyclic sigma (σ) receptor ligands.

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

4.  A systematic exploration of the effects of flexibility and basicity on sigma (σ) receptor binding in a series of substituted diamines.

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

5.  4-(tetralin-1-yl)- and 4-(naphthalen-1-yl)alkyl derivatives of 1-cyclohexylpiperazine as sigma receptor ligands with agonist sigma2 activity.

Authors:  Francesco Berardi; Savina Ferorelli; Carmen Abate; Nicola Antonio Colabufo; Marialessandra Contino; Roberto Perrone; Vincenzo Tortorella
Journal:  J Med Chem       Date:  2004-04-22       Impact factor: 7.446

6.  CB-64D and CB-184: ligands with high sigma 2 receptor affinity and subtype selectivity.

Authors:  W D Bowen; C M Bertha; B J Vilner; K C Rice
Journal:  Eur J Pharmacol       Date:  1995-05-24       Impact factor: 4.432

Review 7.  Sigma-2 receptor: past, present and perspectives on multiple therapeutic exploitations.

Authors:  Carmen Abate; Mauro Niso; Francesco Berardi
Journal:  Future Med Chem       Date:  2018-07-03       Impact factor: 3.808

8.  The novel sigma-2 receptor ligand SW43 stabilizes pancreas cancer progression in combination with gemcitabine.

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

9.  MRP1-Collateral Sensitizers as a Novel Therapeutic Approach in Resistant Cancer Therapy: An In Vitro and In Vivo Study in Lung Resistant Tumor.

Authors:  Chiara Riganti; Roberta Giampietro; Joanna Kopecka; Costanzo Costamagna; Francesca Serena Abatematteo; Marialessandra Contino; Carmen Abate
Journal:  Int J Mol Sci       Date:  2020-05-08       Impact factor: 5.923

10.  The Sigma 2 receptor promotes and the Sigma 1 receptor inhibits mu-opioid receptor-mediated antinociception.

Authors:  Pilar Sánchez-Blázquez; Elsa Cortés-Montero; María Rodríguez-Muñoz; Manuel Merlos; Javier Garzón-Niño
Journal:  Mol Brain       Date:  2020-11-11       Impact factor: 4.041

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  5 in total

1.  Development of tumor-targeting aza-vesamicol derivatives with high affinity for sigma receptors for cancer theranostics.

Authors:  Kenji Mishiro; Mengfei Wang; Saki Hirata; Takeshi Fuchigami; Kazuhiro Shiba; Seigo Kinuya; Kazuma Ogawa
Journal:  RSC Med Chem       Date:  2022-06-30

Review 2.  Revisiting the sigma-1 receptor as a biological target to treat affective and cognitive disorders.

Authors:  Kinga Sałaciak; Karolina Pytka
Journal:  Neurosci Biobehav Rev       Date:  2021-11-01       Impact factor: 8.989

3.  New Pharmacological Strategies against Pancreatic Adenocarcinoma: The Multifunctional Thiosemicarbazone FA4.

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

4.  Synthesis of Aminoethyl-Substituted Piperidine Derivatives as σ1 Receptor Ligands with Antiproliferative Properties.

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

5.  Examination of the Novel Sigma-1 Receptor Antagonist, SI 1/28, for Antinociceptive and Anti-allodynic Efficacy against Multiple Types of Nociception with Fewer Liabilities of Use.

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

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