Abstract
Background
Lung cancers express an autocrine cholinergic loop in which secreted acetylcholine can stimulate tumor growth through both nicotinic and muscarinic receptors. Because activation of mAChR and nAChR stimulates growth; tumor growth can be stimulated by both locally synthesized acetylcholine as well as acetylcholine from distal sources and from nicotine in the high percentage of lung cancer patients who are smokers. The stimulation of lung cancer growth by cholinergic agonists offers many potential new targets for lung cancer therapy.
Methods
The potential of cholinergic targets to inhibit lung cancer growth can be evaluated by use of antagonists, agonists, gene silencing and gain of function.
Results
Cholinergic signaling can be targeted at the level of choline transport; acetylcholine synthesis, secretion and degradation; and nicotinic and muscarinic receptors. In addition, the newly describe family of ly-6 allosteric modulators of nicotinic signaling such as lynx1 and lynx2 offers yet another new approach to novel lung cancer therapeutics.
Conclusions
Each of these targets has their potential advantages and disadvantages for the development of new lung cancer therapies which are discussed in this review.
Keywords: cancer, acetylcholine, nicotine, nicotinic receptors, muscarinic receptors, lynx-1
Graphical abstract
1. Introduction
Lung cancer is the number one cause of cancer death in the World, with deaths in 2012 estimated to exceed 1.5 million [1]. Lung cancer is classified into small cell lung carcinoma (SCLC), which accounts for approximately 15–20% of cases and non-small cell lung carcinoma (NSCLC), which accounts for the remaining 80–85%. The two most common forms of NSCLC are squamous cell lung carcinoma (SCC) and lung adenocarcinoma which together represent at least 80% of all NSCLC [2–4]. Based on histology, gene expression and location, SCC are considered to arise from bronchial epithelial cells (BEC) of large airways, and adenocarcinomas from epithelial cells of smaller airways [5] SCLC primarily from pulmonary neuroendocrine cells (PNEC) [6]. Despite improvements in responses to increasingly sophisticated combinations of surgery, radiation and targeted chemotherapy [7], lung cancer survival remains low [8]. Thus, the development of new therapeutic approaches is clearly needed. The ability of cholinergic signaling to modify lung cancer growth offers diverse potential new targets.
Bronchial epithelial cells and pulmonary neuroendocrine cells express a cholinergic autocrine loop in which the cells synthesize and secrete acetylcholine (ACh) that stimulates the cells to grow through nicotinic acetylcholine receptors (nAChR) and muscarinic acetylcholine (mAChR) receptors (Fig. 1). The secreted ACh can also act as an endocrine or paracrine factor to stimulate local or distant cells. In turn, airway cells that express cholinergic receptors can be stimulated to grow by ACh from autocrine, paracrine, exocrine or neuronal sources. Adding a critically important layer of complexity for consideration of lung cancer growth, cells can also be stimulated by other cholinergic agonists that include nicotine, choline, secreted ly-6 proteins and some classes of tobacco specific nitrosamines. Each of these stimulatory pathways provides targets for potential modulation of lung cancer growth. As shown in figure 1, cholinergic stimulation of lung cancer growth can be modulated beginning at the level of choline transport, then proceeding through ACh synthesis, secretion, degradation, nicotinic signaling and muscarinic signaling.
2. Evidence that acetylcholine is an autocrine growth factor for lung cancer
In the 90’s, initial reports by Quik et al [9], Maneckjee and Minna [10] and Schuller et al [11] demonstrated that nicotine and ACh could stimulate lung cancer growth through both nicotinic and muscarinic mechanisms. In 2003, our laboratory [12] demonstrated that most SCLC expressed both nAChR and mAChR and also synthesized and secreted ACh that stimulated lung cancers to grow through both nicotinic and muscarinic mechanisms (Fig. 2); thus, establishing ACh as an autocrine growth factor for SCLC. Our laboratory then extended that observation to NSCLC and demonstrated that cholinergic signaling was upregulated in NSCLC as established by increased levels of ACh and increased levels of some nAChR subtypes [13]. Consistent with the ability of ACh and nicotine to stimulate lung cancer cell growth, inhibitors of cholinergic signaling could block lung cancer cell growth thus establishing cholinergic signaling as a potential therapeutic target for lung cancer growth (Fig. 2).
The expression of the cholinergic autocrine loop in lung cancer does not uniquely occur in lung cancer cells, but is manifest in most epithelial tissues [14,15]. Studies from our laboratory and others [16,17] have established that bronchial epithelial cells and PNEC also express a cholinergic autocrine loop. Therefore, the expression of this loop in lung cancers continues the expression pattern of the non-transformed cells though the levels of cholinergic signaling by lung cancer cells is significantly increased over non-transformed cells [13], further emphasizing its potential as a lung cancer therapeutic target.
One consideration in attempting to target cholinergic signaling by lung cancer cells is the ability to target non-neuronal cholinergic signaling without targeting neuronal signaling, thus lessening potential side effects. As discussed further below some aspects of non-neuronal cholinergic signaling are different than neuronal signaling, thus providing especially intriguing targets.
3. Targeting choline transport needed for ACh synthesis in lung cancer
The first step in cholinergic signaling is transport of choline into the cell so ACh can be synthesized from choline and acetyl-CoA by the action of choline acetyltransferase (ChAT). Because transport of choline is essential to many fundamental cell processes such as phospholipid synthesis, there are a multitude of low, medium and high affinity choline transporters. In neurons there is a specific high affinity choline transporter (CHT1, CHT, SLC5A7) that is only expressed in cholinergic neurons [18]. If that gene is knocked out, cholinergic neurons can no longer synthesize ACh [19]. Thus, CHT1 is specifically coupled to ACh synthesis in neurons. CHT1 plays a role in non-neuronal cell ACh synthesis as it is expressed in trachea and large airway epithelium [17,20].
Notably however, some non-neuronal cell type can synthesize ACh in the absence of CHT1 including colon epithelial cells [21] and lung cancer cells [12,22]. Thus, choline transport in non-neuronal cells cannot be solely dependent on CHT1 and must, by necessity, utilize other choline transporters such as the recently described family of five choline transporters designated as the choline transporter-like proteins 1–5 (CTL1-5) [23,24]. The CTLs are Na+-independent and have an intermediate-affinity for choline and hemicholinium-3 (HC-3) as compared to CHT1 [23,25]. CTL1, in particular, has been shown to transport choline in renal tubule epithelia [26], keratinocytes [27], and lung adenocarcinoma cells [28]. CTL2 has also been shown to transport choline in lung adenocarcinoma cells [28]. In particular, Song et al [29] have demonstrated that knockdown of CTL4 in lung cancer cells decreases ACh synthesis while increasing expression of CTL4 increases choline transport and ACh synthesis. Besides CTL4, the organic cation transporter (OCT) 1 and 3 have also been linked to non-neuronal ACh synthesis, as demonstrated by expression in cell types that synthesize ACh but do not express CHT1 [30,31].
That lung cancer cells rely on a different transporter for ACh synthesis than neurons, suggests that targeting CTL4 would be a way to inhibit ACh synthesis by lung cancers without interfering with neuronal ACh synthesis. Consistent with this, Song et al [29] has demonstrated that knockdown of CTL4 inhibits lung cancer cell growth. The potential effectiveness of targeting choline transport to inhibit lung cancer cell growth is also supported by the fact that increased levels of media choline linearly increase levels of ACh synthesis and secretion by lung cancer cells [29]. The increased ACh secretion in turn stimulates lung cancer cell growth which can be blocked by cholinergic antagonists [29]. Making choline transport an especially intriguing target for lung cancer is lung cancers concentrate choline [32] and that inhibition of choline kinase, the first step in utilization of choline for phospholipid synthesis, also inhibits lung cancer cell growth [33,34]. As shown in figure 2E, inhibition of choline transport by hemicholinium-3 inhibits lung cancer cell growth.
Consistent with the different affinity for hemicholinium-3 for CHT1 and the CTL’s, hemicholinium blocks ACh synthesis in neurons and tissues that rely on CHT1 with a Ki close to 10 nM, while μM concentrations of hemicholinium are required to inhibit CTL activity [35]. This difference in affinity suggests that more specific inhibitors of the CTL’s verus CHT1 could be developed to provide another approach to target non-neuronal ACh synthesis.
4. Targeting ACh synthesis, secretion and degradation in lung cancer
Targeting ACh synthesis, secretion and degradation as a therapeutic approach to lung cancer presents multiple targets and levels, though overlap with neuronal pathways does present, challenges. ACh is synthesized by the same enzyme ChAT in lung cancers as in neurons, so inhibition of ChAT in cancers would also inhibit ChAT in neurons; therefore, targeting this enzyme would require care in pharmacokinetics and target tissues levels. However inhibitors of ChAT synthesis such as bromoacetylcholine have been shown to inhibit cancer cell growth.
One way in which non-neuronal cholinergic signaling dramatically differs from neuronal cholinergic signaling is regulation of ACh secretion. In neurons, ACh is packaged in synaptic vesicles and released as a function of action potentials and closely regulated synaptic signaling. By contrast lung cancer cells are not excitable, do not have synaptic vesicles, and ACh secretion appears less closely regulated. Consistent with this, simply increasing or decreasing levels of choline in media causes linear increases or decreases in ACh synthesis [29]. While lung cancer cells do not package ACh in synaptic vesicles, they do package ACh in related secretory vesicles. This packaging requires the vesicular acetylcholine transporter (VAChT) which is also required for packaging ACh in synaptic vesicles. All cells that synthesize ACh also express VAChT, and the inhibitor vesamicol inhibits ACh secretion in both neuronal systems [36] and lung cancer cells (Fig. 2F) [12]. Thus while vesamicol or other mechanisms of decreasing VAChT activity can inhibit lung cancer cell growth, this will not be specific to lung cancer ACh secretion. Overall, regulation of non-neuronal ACh synthesis remains poorly understood.
There is also increased levels of ACh in lung cancer cells compared to normal lung [13], suggesting that ACh synthesis could be targeted on the basis that lung cancer cells will be more sensitive than non-transformed cells, as underlies many cancer chemotherapies. The increased levels of ACh in lung cancer come not just from increased ChAT activity but also from decreased levels of acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) the enzymes that metabolize ACh [13]. Notably levels of cholinesterase activity have been linked to prognosis and patients with lower cholinesterase levels tend to have a worse prognosis [37,38]. This would suggest that restoration of normal cholinesterase activities in lung cancers might provide a new therapeutic approach. This approach also has challenges since little is known about regulation of cholinesterase activities in lung cancers, and cholinesterase activity is also a critical target for neurologic disorders such as Alzheimer’s disease and myasthenia gravis.
Levels of ACh in normal and neoplastic tissues represent a balance between synthesis and degradation. While ACh has a short half-life in serum [39], there is enough synthesis from multiple epithelial and endothelial sources that ACh can be readily detected in blood. Thus alterations in levels of ChAT or cholinesterase activities can be expected to increase blood and tissue levels of ACh to have either a local or distal effect.
5. Nicotinic signaling in lung cancer
The most straightforward approach to targeting cholinergic stimulation of lung cancer growth is by blocking nAChR and mAChR. Blockade of nicotinic signaling is discussed in this section, muscarinic signaling in the section below. Multiple studies have shown that the interaction of nicotine, ACh and nicotinic agonists stimulates lung cancer cell growth and that the stimulation can be blocked by nAChR antagonists [9,12,40–44]. The nAChR are ligand gated ion channels such that the interaction of agonist with the receptor allows influx of Na+ and Ca++ into the cell thus triggering downstream events such as cell proliferation. In non-neuronal cells, nAChR also have a metabotropic function activating downstream kinases that lead to increased cell growth [45,46] that still remains poorly characterized. Fourteen genes that code for neuronal nicotinic subunits have been identified to date; four β subunits and ten α subunits. nAChR can be heteromers composed of both α and β subunits, or homomers composed of one type of α subunit. Agonist, antagonist and nicotine sensitivity varies depending on subunit composition.
As shown in figure 2, nicotine stimulates growth of lung cancer cells and the effect can be blocked by mecamylamine. Surprisingly classic α7 nAChR antagonist such as α-bungarotoxin (αBGT) or methyllycaconitine (MLA) do not block lung cancer cell growth (Fig. 3A). This suggests that non-alpha7 containing nAChR mediate the effect of nicotine on lung cancer cell growth. The finding of lack of effect of αBGT on lung cancer cell growth has been reported by several laboratories as well as our own [47]. However as shown in figure 3B & C, the role of α7 nAChR in lung cancer cell growth is more complicated, since knockdown of α7 decreases lung cancer cell growth. The ability of α7 knockdown to decrease cell growth while classic α7 antagonists do not, supports that non-ion channel signaling of α7 may play a role in stimulation of lung cancer growth. This is an important finding as it suggests new classes of nAChR modifiers that act as negative modulators [48,49] or target non-ion channel aspects of α7 signaling [50,51], may prove to be effective inhibitors of lung cancer growth. In particular, in a series of compounds reported by Millar et al [48,49], 2,6MP-TQS (cis-trans-4-(2,6-dimethylphenyl)-3a,4,5,9b-tetrahydro-3H-cyclopenta[c]quinoline-8-sulfonamide) acts as a negative allosteric modulator and 2,4,6MP-TQS blocks the effects of other positive allosteric modulators. As reported by Papke et al, NS6740 acts by targeting non-conducting states of α7 [51]. As signaling in this pathway has still not been clearly delineated, screening for these compounds is still difficult.
Studies by Gardner et al also suggest a role for α3, α4 and α5 containing heteromeric receptors as shown by antagonist and shRNA studies [42]. Implication of a role for α5 receptors in lung cancer growth is also consistent with the reports that polymorphisms in the α3, α5, β4 nAChR gene locus are associated with increased risk of lung cancer [52]. These polymorphisms are also associated with increased smoking so it is still not clear if these polymorphisms are associated with increased risk of lung cancer because of a direct role of the nAChR in the lung cancer or because increase smoking or depth of smoking leads to increased exposure to carcinogens in tobacco [52]. Schuller et al have also shown tobacco specific nitrosamines such as NNK specifically interact with α7 nAChR to stimulate lung cancer growth so antagonists that block interaction of tobacco-specific nitrosamines with nAChR could have therapeutic benefit [53,54].
In discussing the connection between cholinergic signaling and lung cancer, it must be remembered that lung cancer is fundamentally caused by nicotine addiction. Therefore the most effective anticholinergic approach to lung cancer would be the use of nicotinic partial agonists for smoking cessation such as varenicline which is a partial agonist for α4β2 and a full agonist for α7 nAChR [55,56] and cytisine which is a partial agonist for α4β2 and a full agonist for α3β4 [56,57]. The ability of nicotine to stimulate lung cancer growth also raises safety issues for the use e-cigarettes and there is little data yet whether there will be a link between long term use of e-cigarettes and lung cancer.
6. Muscarinic signaling in lung cancer
A particularly attractive target in the cholinergic pathway to block lung cancer growth are mAChR. The mAChR are G-protein coupled receptors and there are 5 subtypes; M1, M3 and M5 are coupled to Gq and M2 and M4 are coupled to Gi. The majority of reports link the Gq coupled receptors to proliferation and evidence is particularly strong for a proliferative role of the M3 receptor in lung cancer and colon cancer [58–60]. M3 receptors are a particularly intriguing target since M3 muscarinic receptor antagonists are in wide clinical use for overactive bladder [61] (eg, darifenacin and solifenacin) and COPD [62] (tiotropium, aclidinium, glycopyrronium) and are generally well tolerated. As shown in figure 4, M3 antagonists block the ability of ACh to increase intracellular calcium. This in turn translates to blocking activation of Akt and MAPK and inhibition of cell growth (Fig. 4). This then translates into inhibition of growth in tumors by M3 antagonists in nude mice in vivo (Fig. 4). Thus M3 receptor antagonists taken either systemically as for darifenacin or solifenacin or inhaled as for tiotropium or aclidinium may have potential as lung cancer therapeutics.
7. Nicotinic allosteric modulators and lung cancer
Perhaps the most intriguing target for cholinergic therapy of lung cancer are the ly-6 allosteric modulators of lung cancer. The ly-6 proteins are a large family of small proteins related to snake α-neurotoxins [63,64] including the α7 nAChR antagonist α-bungarotoxin. Ly-6 proteins are also described as 3 finger proteins because of their conserved structure of 3 fingers created by multiple cysteine residues. In humans more than 25 genes encoding ly-6 proteins have been identified, many with multiple forms produced by alternate splicing [64–66]. Most of the ly-6 proteins are membrane bound thorough a GPI linkage; however some of family members are secreted.
Consistent with the similarity of structure of the mammalian ly-6 proteins to α-bungarotoxin, many of the ly-6 proteins modulate nAChR signaling. Miwa et al [67,68] used similarity to α-bungarotoxin to identify a mammalian α-bungarotoxin-like protein in mouse brain which they named lynx1 and then demonstrated it was a negative allosteric regulator of α4β2 and α7 nAChR receptors. In addition to lynx1, Miwa and co-workers also identified a second ly-6 protein in brain, lynx2 and showed it too was a negative regulator of α7 nAChR [69].
Lynx1 and lynx2 are not the only ly-6 proteins that regulate nAChR. The ly-6 protein, slurp-1, was initially characterized for its role in the skin disease Mal de Maleda [70,71] and is a positive regulator of α7 nAChR [72,73]. Slurp-1 lacks a GPI linkage and is one of the secreted ly-6 proteins. Slurp-2 is encoded by an alternate transcript of the LYNX1 gene and has been reported to be a negative nAChR regulator [74]. Prostate stem cell antigen (PSCA) has been shown by Nishi and co-workers to be yet another ly-6 protein that negatively regulates α7 nAChR [75]. Thus lynx1, lynx2, Slurp-1, Slurp-2 and PSCA are ly-6 proteins that have been demonstrated to modulate nAChR activity but it is likely that other members of the ly-6 family will also turn out to modulate nicotinic signaling. Alignment of lynx1, lynx2 and PSCA is shown in figure 5 and the conserved cysteine residues that define the family can be seen.
The potential role for lynx1 in regulating lung cancer cell growth is also supported by our previous report that levels of lynx1 are decreased in most lung cancers as compared to adjacent normal tissue [13]. As shown in figure 6A, levels of lynx1 are significantly decreased in lung cancer compared to normal lung and the magnitude of this decrease increases as the tumors become less differentiated. This raises the key question of whether levels of lynx1 can modulate growth of lung cancer cells? As shown in figure 6B, siRNA knockdown of lynx1 significantly increased growth of lung cancer cells. This suggests that the decreased levels of lynx1 in lung cancers shown in figure 6 may have significance in terms of rate of growth of lung cancers. Conversely, over expression of lynx1 significantly decreased growth of the A549 cells compared to cells infected with a control lentivirus (Fig. 6C) [76]. This confirms the role of lynx1 as a modulator of lung cancer cell growth and suggests that small molecule mimetics of lynx1 could have therapeutic potential in lung cancer.
While we have shown data for lynx1 here, there is also evidence supporting roles of other nAChR-modifying ly-6 proteins in cancer. PSCA was identified in part due to its ability to modify neuroblastoma growth [75] and polymorphisms in PSCA are associated with clinical course of gastric carcinomas [77]. Similarly, the ability of lynx2 to modulate alpha7 signaling suggests that it may similarly modulate lung cancer cell growth.
8. Conclusions
As discussed above, there are multiple potential lung cancer therapeutic targets in the cholinergic proliferative pathway in lung cancer. Considering potential side effects, delivery of drug to target and druggability of target the most appealing targets are modulators of choline transport, nicotinic antagonists that target metabotropic functions of the nAChR, muscarinic antagonists, and ly-6 protein mimetics. Muscarinic antagonists are already in clinical use so would appear to be particularly appealing. Small molecule ly-6 mimetics are still relatively rare, but given the success in developing other allosteric modulators of nAChR [48–50] this is a particularly intriguing target.
Acknowledgments
This research was supported by NIH grants CA151601, HL087710 and OD011092
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