Figures
Abstract
Autologous Stem Cell Transplant (ASCT) is increasingly used to treat hematological malignancies. A key requisite for ASCT is mobilization of hematopoietic stem cells into peripheral blood, where they are collected by apheresis and stored for later transplantation. However, success is often hindered by poor mobilization due to factors including prior treatments. The combination of G-CSF and GPC-100, a small molecule antagonist of CXCR4, showed potential in a multiple myeloma clinical trial for sufficient and rapid collection of CD34+ stem cells, compared to the historical results from the standards of care, G-CSF alone or G-CSF with plerixafor, also a CXCR4 antagonist. In the present study, we show that GPC-100 has high affinity towards the chemokine receptor CXCR4, and it potently inhibits β-arrestin recruitment, calcium flux and cell migration mediated by its ligand CXCL12. Proximity Ligation Assay revealed that in native cell systems with endogenous receptor expression, CXCR4 co-localizes with the beta-2 adrenergic receptor (β2AR). Co-treatment with CXCL12 and the β2AR agonist epinephrine synergistically increases β-arrestin recruitment to CXCR4 and calcium flux. This increase is blocked by the co-treatment with GPC-100 and propranolol, a non-selective beta-adrenergic blocker, indicating a functional synergy. In mice, GPC-100 mobilized more white blood cells into peripheral blood compared to plerixafor. GPC-100 induced mobilization was further amplified by propranolol pretreatment and was comparable to mobilization by G-CSF. Addition of propranolol to the G-CSF and GPC-100 combination resulted in greater stem cell mobilization than the G-CSF and plerixafor combination. Together, our studies suggest that the combination of GPC-100 and propranolol is a novel strategy for stem cell mobilization and support the current clinical trial in multiple myeloma registered as NCT05561751 at www.clinicaltrials.gov.
Citation: Sukhtankar DD, Fung JJ, Kim M-n, Cayton T, Chiou V, Caculitan NG, et al. (2023) GPC-100, a novel CXCR4 antagonist, improves in vivo hematopoietic cell mobilization when combined with propranolol. PLoS ONE 18(10): e0287863. https://doi.org/10.1371/journal.pone.0287863
Editor: Nicolas N. Nassar, Cincinnati Children’s Hospital Medical Center, UNITED STATES
Received: June 12, 2023; Accepted: September 27, 2023; Published: October 25, 2023
Copyright: © 2023 Sukhtankar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The data underlying the results presented in the study are available from https://www.ebi.ac.uk/biostudies/studies/S-BSST1177.
Funding: This work was mainly supported by GPCR Therapeutics, Inc and in part by the National Research Foundation of Korea (2020R1A5A1018081). GPCR Therapeutics provided support in the form of salaries to all listed authors, who are currently or formerly employed by GPCR Therapeutics. National Research Foundation of Korea provided support in the form of research grant for WKH. Funders did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.
Competing interests: DDS, TC, VC, NGC, YJ, SK, JML, JC, SM, AC, JYL, GK, JYJ, DSS, and PMC are current employees. JJF, MK, PZ, SJK, YDJ and EHK were previously employed by GPCR Therapeutics, Inc. DDS and WKH are co-founders of GPCR Therapeutics. DSS, JJF, NGC, EHK, PZ and PMC have a patent pending for uses of GPCR inhibitors. The commercial affiliation does not alter our adherence to PLOS ONE policies on sharing data and materials.
Introduction
Multiple myeloma (MM) is a leading hematological malignancy with an estimated 34,920 cases in the United States and approximately 588,161 cases worldwide each year [1]. Autologous Stem Cell Transplant (ASCT) is integral to the overall management of MM in eligible patients and has improved the anti-cancer response and survival compared to conventional chemotherapy [2–5]. The success of ASCT relies on harvesting a sufficient number of hematopoietic stem cells (HSC), which are predominantly obtained by mobilizing the HSCs from the bone marrow (BM) into the peripheral blood (PB) [6, 7]. In humans, HSCs are phenotypically characterized by the expression of CD34. A minimum of 2 x 106 CD34+ cells/kg are essential for the HSC harvest, whereas the optimal number for improved engraftment and survival is >5–6 x 106 CD34+ cells/kg [8, 9]. Granulocyte-colony stimulating factor (G-CSF) is a clinical standard of care for HSC mobilization [10]. However, G-CSF fails to mobilize optimal number of HSC in at least 40–50% MM patients [10, 11]. Some patients are treated with the combination of G-CSF and a small molecule CXCR4 antagonist plerixafor (AMD3100) [10]. Despite this combination treatment, 15–35% MM patients do not mobilize a sufficient number of cells [10, 12]. In a recent phase 3 clinical study, the combination of G-CSF and motixafortide, a peptide inhibitor of CXCR4, mobilized a significantly greater number of CD34+ cells compared to G-CSF plus placebo [13]. While this is promising, accumulating data suggests that MM therapies such as daratumumab [14] or lenalidomide [15] may negatively impact HSC mobilization. Mobilization failure can lead to potential loss of ASCT as a treatment option or significant toxicity from repeated mobilization attempts [16]. Moreover, G-CSF is contraindicated in conditions like sickle cell disease for stem cell collection [17] and exacerbates autoimmune diseases [18]. These factors warrant identification of novel strategies that not only address poor mobilization in MM patients, but also provide non-G-CSF options for adequate mobilization in MM as well as other disease indications [19, 20].
CXCR4 is a member of the chemokine G protein-coupled receptor (GPCR) family [21, 22] and is expressed on HSCs [21, 23]. CXCR4 signaling, mediated by its natural ligand CXCL12, plays a pivotal role in cellular chemotaxis, as well as retention and survival of HSCs in BM [23]. GPC-100, also known as Burixafor or TG-0054, is a novel small molecule antagonist with a high binding affinity to CXCR4. In a phase I trial with healthy volunteers, GPC-100 was well-tolerated and induced a 3- to 12-fold increase in circulating CD34+ HSCs compared to baseline following a single intravenous injection [24]. GPC-100, in combination with G-CSF, has been tested clinically in MM patients as an HSC mobilizer (NCT02104427) [25], and was shown to elicit a significant increase in HSCs with >5.0 x 106 CD34+ cells/kg in 1–2 leukapheresis sessions [26]. This result was comparable with the historical results from G-CSF plus AMD3100 treatment.
Previous studies have demonstrated that CXCR4 physically interacts with the beta-2-adrenergic receptor or β2AR (gene ADRB2) in cell systems that overexpress both receptors [27–29]. Findings from Nakai et al suggest that β2AR selectively forms heteromeric complexes with CXCR4, and the stimulation of β2AR enhances CXCR4 signaling, potentially leading to increased lymphocyte retention in lymph nodes and decreased mobilization to PB [27]. β2AR is also expressed on HSCs [30, 31] and the adrenergic signaling plays a key role in regulating HSC niche in BM [32, 33]. Epinephrine and norepinephrine, the natural ligands of β2AR, were shown to influence the turnover and trafficking [34], as well as reduce the proliferative and differentiation capacity of the HSCs [35]. When human HSCs were co-stimulated with G-CSF and β2AR agonists, the expression of CXCR4 on HSCs increased, suggesting that the interactions between β2AR agonists and G-CSF in BM niche promote HSC retention by CXCR4 and impair mobilization by G-CSF [31].
Studies have noted the link between beta adrenergic inhibitor (beta blocker) usage and positive survival outcome in several cancer types including MM [36, 37]. The MM microenvironment is known to cause dysregulation of HSC function leading to changes in gene expression and altered hematopoietic differentiation [38, 39]. Effects of beta-adrenergic blockade on HSC differentiation in MM have been evaluated using propranolol, the FDA-approved non-selective beta blocker with a safe side effect profile [40]. A Phase II biomarker-driven randomized study showed that in MM patients undergoing ASCT, propranolol shifted cell differentiation away from the myeloid-lineage bias and toward the CD34+ HSC-like profile, which leads to enhanced engraftment [39]. In this study, activation of the sympathetic nervous system induced a shift in the basal gene expression profile towards a more inflammatory pattern termed as Conserved Transcriptional Response to Adversity (CTRA), which is associated with poor outcomes in ASCT [39]. Propranolol was shown to reduce the CTRA gene signature. In another study, BM samples from MM patients showed that propranolol can augment differentiation of HSCs into megakaryocyte-erythrocyte progenitors and reduce the number of granulocyte-monocyte progenitor cells, which are known to contribute to a pro-tumorigenic niche [41]. Together, these studies indicate that propranolol can block the negative effects of adrenergic signaling on HSC biology, induce HSC proliferation and differentiation, as well as synergize with a CXCR4 inhibitor considering the possible crosstalk between β2AR and CXCR4 in BM. Therefore, we speculated that the co-inhibition of CXCR4 and β2AR pathways can improve HSC mobilization.
In the present study, we report the in vitro characterization and in vivo mobilization efficacy of GPC-100 in comparison with AMD3100. We also provide evidence for the first time that in cancer cells endogenously expressing CXCR4 and β2AR, the two receptors co-localize and exhibit functional synergy. Furthermore, we demonstrate enhanced mobilization in vivo by GPC-100 in combination with propranolol and propose a new strategy for clinical application in stem cell mobilization.
Methods
Cell culture
MDA-MB-231, Namalwa and MM.1S cells were purchased from the American Type Culture Collection (ATCC) and U937 cells were purchased from the Korean Cell Line Bank (Seoul, Korea). Cells were cultured in RPMI 1640 with ATCC modification (Gibco, A1049101), supplemented with 10% fetal bovine serum (FBS) and 100 U/ml of Penicillin–Streptomycin.
Construction of knock-out cells
Genscript provided non-targeting single guide RNA (sgControl: 5′-ACGGAGGCTAAGCGTCGCAA-3′), CXCR4-targeting sgRNA (sgCXCR4: 5′-ACTTACACTGATCCCCTCCA-3′), and ADRB2-targeting sgRNA (sgADRB2: 5’-CGTCTGCAGACGCTCGAACT-3’) that were cloned in pLentiCRISPRv2. Lentiviruses were produced and gene targeting was performed as described [42]. Namalwa-CXCR4 KO cells were used as a pool after puromycin selection. MDA-MB-231-ADRB2 KO clone was chosen using puromycin selection followed by limiting dilution. Flow cytometry was used to detect the surface expressions of CXCR4 and ADRB2 in the parental and KO cells with anti-CXCR4, anti-β2AR antibody or isotype control antibodies.
Inhibition of CXCL12 binding to CXCR4
Competitive binding assays were performed using the TagLite® system (CisBio). After CXCR4 terbium-labeled cells were plated, 5 μL of GPC-100 or AMD3100 were added, followed by 5 μL of 20 nM red fluorescently labeled CXCL12. After a 3-h incubation at room temperature, the plate was read on an EnVision plate reader (PerkinElmer). Inhibitory constants (Ki) for the respective compounds were determined by plotting the normalized HTRF ratio versus the compound concentrations using non-linear regression competitive binding “one site–fit Ki equation.” The HTRF ratio was calculated as the emission ratio of 665 nm/620 nm proportional to the amount of CXCL12 bound to CXCR4.
Molecular docking of GPC-100 and AMD3100
The Schrödinger Small-Molecule Drug Discovery Suite was used for molecular modeling procedures, using the OPLS3e force field. The model of human CXCR4 in complex with small molecule antagonist IT1t (PDB: 3ODU) was imported and prepared using the Protein Preparation Wizard workflow. AMD3100 and GPC-100 were prepared using LigPrep on default settings. A total of 25 and 18 different conformations were generated for AMD3100 and GPC-100, respectively. The standard workflow for ligand docking in XP (extra precision) setting was followed for AMD3100 and GPC-100 to the CXCR4 structure [43]. Induced Fit Docking was also performed on GPC-100 [44]. To ensure proper docking of the binding pocket, the residues Y116/D171/Y255/E288 were selected as the center point. To avoid steric conflict with the large side chain Arg188, the trim option was selected. The top 20 poses for GPC-100 with an energy window of 30 kcal/mol were saved for further analysis.
Calcium flux assay
MDA-MB-231 cells endogenously expressing CXCR4 and β2AR, or transduced with adenoviruses encoding CXCR4 for overexpression were used for calcium flux. Cells were cultured for 2 days prior to running the assay [45] and seeded at 8×104 cells/well in a 96-well black clear-bottom microplate. The following day, cells were stained with Cal-520 AM (AAT Bioquest) for 2 h at 37°C and treated with antagonists for 30 min followed by agonist stimulation. Intracellular calcium flux was measured using a Flexstation 3 microplate reader (Molecular Devices).
Migration assay
U937 or MM.1S cells were treated with GPC-100 or AMD3100 for 30 min and 100 μl of the cell suspension was added to a transwell insert with 8-μm pores. Cells were allowed to migrate toward CXCL12 in the presence or absence of the antagonists for 4 h (MM.1S) or 24 h (U937) at 37°C. The migration of U937 cells was measured using PrestoBlue Cell Viability Reagent (Invitrogen). For MM.1S cell line, the migrated cells were counted by flow cytometry. The fluorescence intensity (560 nm/590 nm excitation/emission) was detected using a Varioskan LUX Multimode Microplate Reader.
PRESTO-Tango assay
CXCR4-Tango plasmid was gifted by Dr. Bryan Roth (Addgene plasmid # 66262) [46], and CXCR4-dV2-Tango plasmid was constructed by removing V2 tail of the V2 vasopressin receptor using Age I digestion. HTLA cells were kindly provided by Dr. Richard Axel (Columbia University, NY, USA) and cultured as described.[46] HTLA cells were seeded at 8×105 cells/well in a 6-well plate. The following day, cells were transfected with CXCR4-dV2 Tango and pcDNA3.1-ADRB2 using Lipofectamine 3000 (Thermo Fisher Scientific). After a 48-h incubation, transfected cells were transferred to 96-well white bottom plates and incubated under serum-starvation for 4 h. Cells were pretreated with antagonist for 30 min, and then stimulated with agonist for 18 h. On day 5, cells were lysed with Steady-Glo solution (Promega) for 15 min at room temperature, and luminescence was measured with Varioskan LUX Multimode Microplate Reader.
Proximity Ligation Assay (PLA)
MDA-MB-231 (parental and ADRB2 knockout) and Namalwa (parental and CXCR4 knockout) cells were fixed on microscope slides and treated with lambda protein phosphatase (New England Biolabs) for 1 h at 37°C. The NaveniFlex MR kit (Navinci) was used for blocking, primary antibody incubation, and PLA. Recombinant rabbit anti-CXCR4 antibody (clone UMB2, Abcam) and mouse anti-human β2AR antibody (clone E-3, Santa Cruz) were used as primary antibodies, while rabbit IgG and mouse IgG2b isotype (Abcam) were used as negative controls. Slides were mounted using VECTASHIELD Antifade Mounting Medium with DAPI and imaged using the IN Cell Analyzer 2500HS system (Molecular Devices).
In vivo studies
Animals.
Studies were performed at a facility accredited by the Association for Assessment and Accreditation of Laboratory Animal Care and in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institute of Health. The protocol was approved by the Institutional Animal Care and Use Committee (IACUC) of Explora BioLabs (Protocol # EB17-010-141). C57BL/6J mice (female, 6–9 weeks old) were ordered from Jackson Laboratories and allowed to habituate for one week before handling. They were housed 5 per cage and had free access to food and water. Mice were randomized for each study so that all treatment groups contained similar age and weight distributions. Test articles were administered as shown in Table 1.
Sample collection.
Mice were monitored daily and weighed prior to drug administration. Based on the body weight data, mice were randomized into groups using the randomization tool in Benchling Studies randomization software. PB was collected by submental bleeding (non-terminal) or cardiac puncture (terminal). For terminal blood collections, mice were placed in an induction chamber with 2.5–4% isoflurane and then a maintenance dose of 2–3% through a nose cone. A toe pinch on all four quadrants was applied to confirm the surgical plane of anesthesia. Upon completion of terminal blood collection from cardiac puncture, the mice were euthanized via cervical dislocation while still under the effects of isoflurane. Approximately 25 μL blood was used for CBC analysis and the remaining blood was processed for flow cytometry or colony forming unit (CFU) assay. For non-terminal submental bleeding, a 4mm lancet was used to puncture the linguofacialis vein under the chin. Blood was collected at 1 or 2 h post GPC-100 and AMD3100, and 14 h post G-CSF. For the time-course of mobilization, each mouse was bled twice. Submental bleeding was performed at 0.5 h, 1 h or 2 h after the respective dosing and cardiac puncture was performed at 3 h, 4 h and 6 h post-dose. All doses of the treatments used in the study were well tolerated and no clinical observations were noted during the procedures.
CBC analysis.
Blood samples were processed for complete blood count (CBC) analysis using the Abaxis VetScan HM5 hematology analyzer (Abaxis), which reports 18-parameters including WBC, lymphocytes, neutrophils, monocytes, platelets, hemoglobin, RBC and morphology.
Flow cytometry.
Mobilization of mouse HSC, characterized as LSK cells (Lineage- Sca-1+ c-Kit+) [47], was determined in two separate studies. For both studies, mononuclear cells were isolated from PB post-CBC analysis and stained with anti-lineage cocktail, c-Kit and Sca-1 antibodies for the first study (S3 Table in S1 File). For the second study, CD150 or CD34 antibodies were added to determine HSCs with long-term repopulating capacity (LT-HSC) (CD150+ or CD34- LSK) [48]. Samples were acquired with a Cytek Aurora spectral flow cytometer (Fremont, CA) and data was analyzed with CellEngine software. Gating was determined using FMO (Fluorescence Minus One) controls. The percentage of c-Kit+ Sca-1+ cells as a subset of parent Lin- cells were used to determine the total number of LSK cells μL of blood. For the second study, frequency of CD150+ or CD34- cells was measured as a subset of parent LSK cells. Number of LSK cells in peripheral blood were normalized based on the WBC count obtained in that study.
Colony Forming Unit (CFU) assay.
8 x 105 mononuclear cells isolated from PB post-CBC analysis were added to tubes of semisolid methylcellulose medium (StemCell Technologies) known to support erythroid and myeloid progenitors [49]. Seven days later, colonies showing appearance of granulocyte-monocyte progenitors (CFU-GM) and burst forming erythroid units (BFU-E) formed and were counted by a blinded experimenter. Total CFU were calculated as a total number of CFU-GM and BFU-U colonies.
Statistical analyses.
Data analyses were performed using GraphPad Prism and all data are presented as mean ± SEM. Comparisons of data across two dosing conditions were made using the Mann-Whitney test or multiple dosing conditions using the one-way ANOVA with Turkey’s multiple comparison test. P < 0.05 was considered statistically significant for all tests. * ≤ 0.05, ** ≤ 0.01, *** ≤ 0.001, **** ≤ 0.0001.
List of all reagents and sources used in this study are listed in the supplementary section.
Results
GPC-100 shows distinct binding modes and higher binding affinity for CXCR4 compared to AMD3100
The chemical composition of GPC-100 demonstrates distinct divergence from AMD3100 (Fig 1a). To understand these differences at a molecular level, we use in silico docking experiments of the two antagonists to an inactive structure of CXCR4. Previous studies with various CXCR4 antagonists have identified major and minor pockets of interactions within the CXCR4 orthosteric binding site [43]. The induced-fit algorithm from Schrödinger was used for GPC-100 [43, 44]. Previously validated residues with secondary amines, namely Asp97 and Asp262 [50], contributed to interactions of GPC-100 and AMD3100 with CXCR4. However, the phosphoryl group of GPC-100 that is absent in AMD3100 makes an ionic interaction with Arg188, and hydrogen bond with Gln200 (Fig 1b). These energetically favorable interactions suggest enhanced anchor points for GPC-100 that are absent in AMD3100.
(A) Chemical structures of AMD3100 and GPC-100. (B) Overlay of the proposed binding modes for GPC-100 and AMD3100 obtained from molecular docking with the template of an inactive structure of CXCR4 and induced-fit algorithm from Schrödinger. CXCR4 transmembrane helices are shown and annotated as gray ribbons. 2D ligand interaction diagram presents residues colored triangular picks. Picks that are pointing away represent backbone of residue facing towards the respective ligand. Picks facing towards the respective ligand represent side chain of residue facing the ligand.
We tested how these structural differences translate to ligand binding ability using the TagLite® technology. Dose response curves of both GPC-100 and AMD3100 demonstrated competitive inhibition of CXCL12 binding to CXCR4 (Fig 2) with the inhibitory constant (Ki) of GPC-100 as ~ 1.6 nM and AMD3100 as ~ 40 nM. This indicates that GPC-100 has a higher affinity for CXCR4 than AMD3100 (Fig 2).
Ki for the respective compounds were determined by plotting the normalized HTRF ratio (% CXCL12 bound) versus the compound concentrations and using non-linear regression competitive binding “one site–fit Ki equation.” Data expressed as mean ± SEM.
Pharmacological characterization of GPC-100 demonstrates its efficacy in inhibiting the CXCR4/CXCL12 axis
We implemented several key assays to determine the effects of GPC-100 on CXCR4 signaling. First, we utilized calcium flux assay in MDA-MB-231 cells overexpressing CXCR4 (S1 Table in S1 File), which yielded a robust calcium flux response when stimulated with CXCL12. Dose response titration of GPC-100 and AMD3100 led to a dose dependent inhibition of CXCL12-induced calcium flux with IC50 values of 30 nM and 35 nM, respectively (Fig 3a). We also measured the recruitment of β-arrestin to CXCR4, which is known to occur upon CXCL12 binding [51–53]. In the PRESTO-TANGO β-arrestin assay [54], both GPC-100 and AMD3100 inhibited CXCL12 mediated recruitment of β-arrestin to CXCR4 with IC50 values of 207 nM and 172 nM, respectively (Fig 3b). Directly relevant to stem cell mobilization, cell migration is a key phenotypic response upon CXCR4 activation [55–57]. For this assay, we used MM.1S (multiple myeloma) and U937 (acute myeloid leukemia) cells with high endogenous CXCR4 expression (S1 Table in S1 File, S1 Fig in S2 File) [58], which showed a robust migration response to CXCL12 with a sub-nanomolar EC50 values (S2a, S2b Fig in S2 File). In U937 cells, both GPC-100 and AMD3100 efficiently blocked CXCL12-mediated migration with IC50 of 48 nM and 42 nM, respectively (Fig 3c). In MM.1S cells, CXCL12-induced migration was blocked by GPC-100 with a IC50 value of 28 nM, and AMD3100 with a IC50 value of 80 nM (Fig 3d).
(A) Inhibition of CXCL12 (20 nM)-induced calcium flux by GPC-100 and AMD3100 in MDA-MB-231 cells transduced with CXCR4. (B) Inhibition of CXCL12 induced β-arrestin recruitment to CXCR4 by GPC-100 and AMD3100 using Presto-Tango assay in HTLA cells overexpressing CXCR4-tango and β2AR. Inhibition of CXCL12 induced migration of (C) U937 and (D) MM.1S cells by GPC-100 and AMD3100. Data expressed as mean ± SEM.
Endogenously expressed CXCR4 and β2AR reside in close proximity in a model cell system
Previous studies in cardiomyocytes and lymphocytes suggest that CXCR4 and β2AR form heteromers [27]. Here, we investigated CXCR4 and β2AR heteromerization in a native state, wherein the receptors are endogenously expressed. To test this, we applied PLA, which allows for the detection of protein-protein interactions using endogenous and non-engineered receptors [59]. Because the PLA detects the amplified DNA as dots, only a few interacting molecules can produce a robust signal, making it a sensitive and specific assay. We used Namalwa and MDA-MB-231 cells as model cancer cell lines chosen based on receptor mRNA transcript levels, surface expression and cell-type diversity (S1 Table in S1 File, S3 & S4 Figs in S2 File). Using primary antibodies specific to the intracellular domains of CXCR4 and β2AR, we showed a positive PLA signal (over 5 PLA events per cell) in Namalwa cells, indicating stable proximity of endogenous CXCR4 and β2AR receptors (Fig 4a). To confirm specificity of receptor proximity, we constructed a knockout of CXCR4 in Namalwa and confirmed significant decrease in surface CXCR4 expression (S3a & S4b Figs in S2 File). PLA signal was significantly decreased in CXCR4 knockout Namalwa cells compared to the parental cells (Fig 4a). While these results were encouraging, the relatively low abundance of β2AR in Namalwa made detection by PLA challenging. We next investigated MDA-MB-231 cells that express higher levels β2AR mRNA (S1 Table in S1 File). In this cell system, the PLA yielded a strong signal of about 30 events per cell (Fig 4b). The specificity of the PLA was confirmed in a β2AR knock-out (S4c & S4d Fig in S2 File) of MDA-MB-231 cells (Fig 4b) suggesting that parental CXCR4 and β2AR exist in close proximity in a native cell environment.
PLA showing proximity between CXCR4 and β2AR in (A) Namalwa parental and Namalwa CXCR4 knock-out cells, (B) MDA-MB-231 parental and MDA-MB-231 ADRB2 knock-out cells. All images are presented at 40X magnification. Data expressed as mean ± SEM with statistical significance for MFI (mean fluorescence intensity).
Synergistic pharmacology upon co-activation of CXCR4 and β2AR that is inhibited by GPC-100 and propranolol
Functional effects of CXCR4 and β2AR proximity were evaluated in downstream signaling assays using receptor co-activation and co-inhibition. β-arrestins act as intracellular scaffolds that mediate receptor desensitization, internalization, and G-protein independent signaling [60–62]. In HTLA cells overexpressing CXCR4-tango and β2AR, CXCL12 induced β-arrestin recruitment to CXCR4 as expected (Fig 5a). Epinephrine also induced a modest but meaningful β-arrestin recruitment to CXCR4 (Fig 5b). However, co-treatment of these cells with CXCL12 and epinephrine led to a significant synergistic increase of β-arrestin recruitment compared to CXCL12-only treatment (Fig 5c, Emax 286 ± 12.20% with co-treatment), which was blocked by GPC-100 and propranolol combination (Fig 5c).
HTLA cells overexpressing CXCR4-tango and β2AR were treated with (A) 0–200 nM CXCL12 and 1 μM epinephrine or (B) 100 nM CXCL12 and 0–10 μM epinephrine in two separate experiments. Co-treatment with epinephrine and CXCL12 led to synergistic increase in β-arrestin recruitment. (C) Fold-change in β-arrestin recruitment to CXCR4 by 100 nM CXCL12, 400 nM epinephrine, agonist co-treatment, 10 μM GPC-100, 10 μM propranolol or antagonist co-treatment. Data expressed as mean ± SEM.
Treatment of MDA-MB-231 cells endogenously expressing CXCR4 and β2AR (S5 Fig in S2 File) with CXCL12 or epinephrine alone elicited a modest calcium flux response. However, co-treatment with CXCL12 and epinephrine resulted in a synergistic increase in the calcium flux (Fig 6a). This was partially inhibited by the single antagonist treatment with GPC-100, AMD3100 or propranolol (Fig 6b). However, complete blockade of calcium flux was only achieved with GPC-100 and propranolol co-treatment. On the other hand, AMD3100 and propranolol combination resulted in partial inhibition of synergistically increased calcium flux. Therefore, GPC-100 was a more potent CXCR4 antagonist when combined with propranolol in this assay. These findings also suggest that CXCR4 and β2AR existing in close proximity can be co-activated to functionally regulate the downstream calcium signaling pathway, as well as affect the receptor internalization machinery, and potentially, the scaffolds that mediate the G-protein independent non-canonical signaling pathways.
(A) Calcium flux in MDA-MB-231 cells endogenously expressing CXCR4 and β2AR by vehicle, 200 nM CXCL12, 10 μM epinephrine or their co-treatment. Data indicate fold-increase compared to CXCL12. (B) Inhibition of synergistic calcium increase by 10 μM GPC-100, 10 μM AMD3100, 10 μM propranolol or their co-treatment in MDA-MB-231 cells treated with CXCL12 and epinephrine. Percent calcium flux was normalized to CXCL12. Data expressed as mean ± SEM with statistical significance.
Combination treatments with GPC-100 and propranolol improve mobilization in mice
We determined GPC-100 induced mobilization compared to AMD3100 at the most efficacious doses for both antagonists. Numerous studies in mice report the peak mobilization by AMD3100 (5 mg/kg, SC) at 1 hour [63–65]. Therefore, PB WBC counts were determined at 1 hour following GPC-100 and AMD3100 administration. GPC-100 produced a 4.6-fold increase, whereas AMD3100 produced a 3-fold increase in circulating WBCs compared to the vehicle (Fig 7a). We then compared the time-course of mobilization between GPC-100 and AMD3100 from 30 min- to 6 hours post-drug. While both antagonists showed peak mobilization at 2 hours, GPC-100-induced mobilization was greater than AMD3100 (Fig 7b). Based on this time-course, PB was collected at 2 hours post-GPC-100 in the following studies.
(A) WBC mobilization to PB followed by single injection of GPC-100 (30 mg/kg, IV) or AMD3100 (5 mg/kg, SC). PB was collected 1-hour post-drug. (B) Time course of mobilization by GPC-100 or AMD3100. PB was collected at various time points post-drug. Each mouse was bled twice. The bleeding at 0.5h, 1h and 2h was non-terminal, whereas at 3h, 4h, 5h it was terminal. A and B refer to two independent studies. Data expressed as mean ± SEM.
To evaluate the impact of β2AR blockade in vivo, mice were administered propranolol. Propranolol dose was selected based on the dose titration (5–40 mg/kg, IP) when combined with GPC-100 (S6 Fig in S2 File). Pretreatment with propranolol (20 mg/kg, IP) over 7 days (Fig 8a) improved GPC-100 induced mobilization by 27% (Fig 8b). Propranolol also enhanced AMD3100-induced mobilization (Fig 8b). In particular, propranolol improved lymphocyte mobilization for both antagonists (S7a & S7c Fig in S2 File). Further experiments to determine HSC mobilization revealed that 7-day propranolol pretreatment enhanced LSK cell mobilization by GPC-100 resulting in a 4-fold increase in circulating HSCs (Fig 8c and 8d).
(A) Dosing regimen indicating propranolol (20 mg/kg, IP) pretreatment for 7 days, followed by GPC-100 (30 mg/kg, IV) co-administration on day 7. AMD3100 (5 mg/kg SC) was similarly co-administered on day 7 with propranolol. (B) WBC mobilization by GPC-100 and propranolol, and AMD3100 and propranolol combinations. Dotted line indicates average WBC counts in vehicle-treated mice (C) Representative LSK frequency analysis in PB (D) number of mobilized LSK cells in mice treated with PBS, GPC-100 alone or in combination with propranolol. Data from two separate experiments. Pro: Propranolol. Data expressed as mean ± SEM.
In the following studies, mobilization by the triple combination of G-CSF, GPC-100 and propranolol was compared with the current ASCT standards of care, i.e., G-CSF alone or in combination with AMD3100. The triple combination (Fig 9a) as well as the combination of G-CSF and GPC-100 induced an 8.2- and 8.4-fold increase in WBC mobilization, respectively, that was significantly greater compared to the increased WBC count by G-CSF alone (4.5-fold) or G-CSF plus AMD3100 (6.6-fold) (Fig 9b). Analysis of HSC or LSK cell mobilization revealed that G-CSF plus AMD3100 treatment resulted in a 13-fold increase in LSK cells in PB compared to the vehicle. In comparison, G-CSF and GPC-100 combination with and without propranolol resulted in 20-fold and 24-fold increase in LSK cells, respectively (Fig 9c).
(A) Dosing regimen. G-CSF (0.1 mg/kg, SC) was administered 5 days two-times a day (BID) from day 2 to day 6, propranolol (20 mg/kg, IP) was administered once daily for 7 days. GPC-100 (30 mg/kg, IV) was co-administered with propranolol on day 7. Mice in the triple combination group received all three treatments. For comparison with standards of care, G-CSF was administered alone or with AMD3100 (5 mg/kg SC) administered on day 7, 12 h post G-CSF. (B) WBC mobilization, (C) mobilization of LSK cells (Lin-Sca1+ckit+) evaluated by flow cytometry, (D) Number of total CFU in PB, (E) mobilization of CD34- LSK cells and (F) CD150+ LSK Cells. Flow cytometry analyses and the CFU assay were performed on different cohorts of age- and weight-matched mice. Each mouse is assayed individually. Pro: Propranolol, G: G-CSF. Data expressed as mean ± SEM.
We then compared the functional capacity of cells mobilized by the triple combination in a CFU assay. CFU assay was conducted to measure the mobilized HSCs based on their ability to form CFU-GM and BFU-E colonies. The triple combination produced a 47-fold increase in total CFUs over vehicle control compared to a 35-fold and 27-fold increase over vehicle from G-CSF plus GPC-100 and G-CSF plus AMD3100 treatments, respectively (Fig 9d). Addition of propranolol to G-CSF and GPC-100 combination increased mobilization of the LT-HSCs characterized as CD34-CD150+CD48+LSK (S8 Fig in S2 File). Therefore, we compared mobilization of LT-HCS by triple combination with the standards of care by analyzing CD150+ LSK cell population as well as primitive CD34-LSK population [48, 66]. The triple combination mobilized significantly more LSK cells that lack CD34 or express CD150 (Fig 9e and 9f). This indicates that the addition of propranolol can improve mobilization of primitive and functionally capable HSCs. The pattern of LSK and CFU counts across the different drug combinations was consistent with the WBC count from matched samples, supporting the use of WBC counts as a surrogate marker for stem cell mobilization.
Discussion
In the present study, we provide in vitro and in vivo characterization of GPC-100, a novel CXCR4 antagonist and hematopoietic cell mobilizer. We also demonstrate the functional interactions between CXCR4 and β2AR, which support the addition of propranolol to GPC-100 as a novel strategy for HSC mobilization.
GPC-100 demonstrated efficacy in disrupting CXCL12-mediated calcium signaling, cell migration and β-arrestin recruitment to CXCR4 that was comparable with AMD3100. However, GPC-100 was a better mobilizer in vivo. The competitive binding assay revealed that GPC-100 possessed superior binding to CXCR4 compared to AMD3100. We speculate that this could be due to the chemical scaffold of GPC-100 forming enhanced interactions in the CXCR4 binding pocket stabilizing the receptor differently from AMD3100. The functional consequences of ligand binding, whether activating or inhibiting, are dependent on the structural characteristics of the ligand-receptor complex [67, 68]. This influences the signal transducers such as G-proteins or arrestin-recruiting GPCR kinases, which engage in the intracellular cavity of a GPCR. For example, Jorgensen et al showed that another small molecule CXCR4 antagonist AMD11070 had a higher binding affinity to CXCR4 and greater potency to block CXCL12 induced migration than AMD3100, but AMD3100 was a better mobilizer. This was thought to be due to the biased signaling of β-arrestin recruitment by AMD3100, and differences in the binding modes [68]. Another possibility of the observed differences in AMD3100 and GPC-100 could be the assay set-up and timescale differences. For example, the binding assay captured a ‘clean’ binding event in a HEK293 cell system overexpressing CXCR4 at 1–3 hours. On the other hand, migration was measured at 4 to 24 hours and calcium flux was instantaneous in native cells with endogenous expression of CXCR4, which can lead to structural re-orientation. Additional studies are required to probe more into mechanisms leading to greater efficacy of GPC-100 observed in our in vivo studies.
GPCRs are targeted by 30%-40% of current drugs making them one of the most tractable drug targets [69]. However, only a small number (∼110 out of ~850) of GPCRs has been successfully targeted due to limited understanding of the distinct pharmacology of GPCRs that involves receptor heteromerization [70]. CXCR4 and β2AR are known to form heteromeric complexes with other GPCRs [42, 71–74]. The receptor heteromerization may lead to changes in ligand binding affinity, G protein-coupling, efficacy, receptor trafficking or β-arrestin interactions [75]. Successful investigation of GPCR heteromerization in endogenous, unmodified native cells has been challenging due to factors such as low protein abundance and shortage of detection methods [59]. Using a highly sensitive and specific assay like PLA, our study is the first that uses cancer cells endogenously expressing CXCR4 and β2AR to demonstrate that the two receptors may form heteromers or are at least in close enough proximity that allows receptor crosstalk [76]. Co-activation of CXCR4 and β2AR led to enhanced calcium flux and increased recruitment of β-arrestin to CXCR4. This indicates that the proximity of the two receptors has downstream functional consequences mediated by both G-protein dependent and independent pathways highlighting the importance of GPCR heteromers as druggable targets. It is known CXCR4-mediated calcium signaling regulates cell migration and survival [77]. Recent studies suggest that β2AR can also utilize non-canonical, G-protein independent mechanisms for inducing calcium flux [78]. Therefore, it is possible that epinephrine-induced increase in β-arrestin recruitment to CXCR4 as observed in our assay leads to a mega-complex [79] that links CXCR4-β2AR-β-arrestin to a calcium activating machinery. While the role of calcium flux in HSC biology is still emerging [80], calcium flux has been shown to activate the calcineurin/NFAT (nuclear factor of activated T cells) pathway and downstream gene reprogramming, leading to changes in HSC maintenance and differentiation [81]. Therefore, increase in calcium flux due to CXCR4-β2AR co-activation may be involved in HSC mobilization. Collectively, our findings suggest the possibility of signaling crosstalk between CXCR4 and β2AR, opening up the opportunity for novel therapeutic approaches.
HSC mobilization is associated with a concomitant increase in circulating WBC [82–85]. In mice, propranolol significantly enhanced GPC-100-induced WBC mobilization. This could be explained by the independent effect of propranolol on HSCs or signaling consequences from the interactions between β2AR and CXCR4. Previously, β2AR and CXCR4 were shown to interact physically and functionally leading to enhanced lymphocyte retention in the lymph nodes [27]. Similar interactions may also play a role in HSC retention by CXCR4 in BM given that both receptors are expressed on HSCs. However, due to technological limitations, such physical interactions have yet to be demonstrated in HSCs. Knight et al. and several others have discussed that propranolol can promote HSC growth and differentiation, as well as improve BM cellularity [39, 86–88]. Particularly, propranolol treatment led to upregulation of CD34+ HSC like gene signature and shifted cell differentiation away from myeloid bias in MM patients, which can lead to better engraftment in ASCT. Therefore, it is possible that propranolol enhanced GPC-100 mobilization by increasing the HSC yield.
Our studies show that propranolol improves GPC-100 induced HSC mobilization by 2-fold. Given that clinically GPC-100 can mobilize HSCs to PB up to 12-fold [24], the increase from the addition of propranolol to GPC-100 could provide sufficient HSCs harvest. This suggests the possibility of HSC mobilization without the use of G-CSF. It is an important finding since the elimination of G-CSF from the treatment may reduce the risk of moderate to severe side effects of G-CSF such as severe bone pain and rarely, splenic rupture [17]. MM patients have a high symptom burden and poor health-related quality of life [89] as well as history of treatments that negatively affect G-CSF mobilization. An alternative approach of using an oral beta blocker like propranolol eliminates the risks and burden created by daily subcutaneous G-CSF injections, as well as toxicity from repeated mobilization attempts. It is worthwhile to note that GPC-100 and propranolol may especially benefit patients with conditions like sickle cell disease, where G-CSF is contraindicated for stem cell collection [17]. Together, these studies suggest the advantage of adding propranolol in the HSC mobilization regimen.
Addition of propranolol to G-CSF and GPC-100 (triple combination) resulted in a significant increase in viable, functional HSCs compared to G-CSF plus AMD3100. These cells were functionally capable of differentiating into myeloid and erythroid multipotent progenitors and also expressed primitive markers known for long-term repopulating capacity of HSCs. CXCR4 and β2AR are expressed on most immune cells [29]. We observed that propranolol significantly increased GPC-100-induced lymphocyte mobilization. Therefore, we are currently investigating mobilization of certain immune cell subsets for potential utility in therapeutic areas such as adoptive cell therapies. Additionally, the present study was performed in naïve mice and the effects of propranolol will likely be amplified in a model wherein the BM microenvironment and HSC differentiation is compromised [90]. Future studies to determine the impact of our dosing regimen in mouse models of chronic stress or cancers like MM are warranted.
In summary, our preclinical findings propose the therapeutic co-targeting of CXCR4 and β2AR pathways and support the addition of propranolol to GPC-100 for HSC mobilization for ASCT in MM patients. The triple combination of GPC-100, propranolol, and G-CSF can potentially be best-in-class and target patient populations where other mobilization regimens have failed. Propranolol could prove to be a safe, accessible, and inexpensive option to supplement the mobilization therapies for greater stem cell yields in fewer apheresis sessions and reduce the financial burden on patients and healthcare systems. This is currently being tested in our two-arm Phase II clinical trial (NCT05561751) [91] with a GPC-100 plus propranolol arm and GPC-100, propranolol, and G-CSF arm.
Supporting information
S1 File. Supporting information on materials and methods.
https://doi.org/10.1371/journal.pone.0287863.s001
(PDF)
Acknowledgments
We thank Glenn Cantor and Madeleine Héroux, consultants for GPCR Therapeutics, for providing editing and review support during preparation of this manuscript.
References
- 1. Cowan AJ, Green DJ, Kwok M, Lee S, Coffey DG, Holmberg LA, et al. Diagnosis and Management of Multiple Myeloma: A Review. JAMA. 2022;327(5):464–77. pmid:35103762.
- 2. Devarakonda S, Efebera Y, Sharma N. Role of Stem Cell Transplantation in Multiple Myeloma. Cancers (Basel). 2021;13(4). Epub 20210218. pmid:33670709.
- 3. Holstein SA, McCarthy PL. Improved survival with salvage autologous stem-cell transplantation in myeloma. Lancet Haematol. 2016;3(7):e306–7. pmid:27374462.
- 4. Li J, Zhu Y. Survival analysis of multiple myeloma patients after autologous stem cell transplantation. Stem Cell Investig. 2019;6:42. Epub 20191212. pmid:32039264.
- 5. Kumar SK, Rajkumar SV, Dispenzieri A, Lacy MQ, Hayman SR, Buadi FK, et al. Improved survival in multiple myeloma and the impact of novel therapies. Blood. 2008;111(5):2516–20. Epub 20071101. pmid:17975015.
- 6. Arora S, Majhail NS, Liu H. Hematopoietic Progenitor Cell Mobilization for Autologous Stem Cell Transplantation in Multiple Myeloma in Contemporary Era. Clin Lymphoma Myeloma Leuk. 2019;19(4):200–5. Epub 20181220. pmid:30679106.
- 7. Balassa K, Danby R, Rocha V. Haematopoietic stem cell transplants: principles and indications. Br J Hosp Med (Lond). 2019;80(1):33–9. pmid:30592675.
- 8. Toor AA, Ayers J, Strupeck J, Parthasarathy M, Creech S, Rodriguez T, et al. Favourable results with a single autologous stem cell transplant following conditioning with busulphan and cyclophosphamide in patients with multiple myeloma. Br J Haematol. 2004;124(6):769–76. pmid:15009065.
- 9. Tricot G, Jagannath S, Vesole D, Nelson J, Tindle S, Miller L, et al. Peripheral blood stem cell transplants for multiple myeloma: identification of favorable variables for rapid engraftment in 225 patients. Blood. 1995;85(2):588–96. pmid:7529066.
- 10. DiPersio JF, Stadtmauer EA, Nademanee A, Micallef IN, Stiff PJ, Kaufman JL, et al. Plerixafor and G-CSF versus placebo and G-CSF to mobilize hematopoietic stem cells for autologous stem cell transplantation in patients with multiple myeloma. Blood. 2009;113(23):5720–6. Epub 20090410. pmid:19363221.
- 11. Demirer T, Buckner CD, Gooley T, Appelbaum FR, Rowley S, Chauncey T, et al. Factors influencing collection of peripheral blood stem cells in patients with multiple myeloma. Bone Marrow Transplant. 1996;17(6):937–41. pmid:8807097.
- 12. DiPersio JF, Micallef IN, Stiff PJ, Bolwell BJ, Maziarz RT, Jacobsen E, et al. Phase III prospective randomized double-blind placebo-controlled trial of plerixafor plus granulocyte colony-stimulating factor compared with placebo plus granulocyte colony-stimulating factor for autologous stem-cell mobilization and transplantation for patients with non-Hodgkin’s lymphoma. J Clin Oncol. 2009;27(28):4767–73. Epub 20090831. pmid:19720922.
- 13. Crees ZD, Rettig MP, Jayasinghe RG, Stockerl-Goldstein K, Larson SM, Arpad I, et al. Motixafortide and G-CSF to mobilize hematopoietic stem cells for autologous transplantation in multiple myeloma: a randomized phase 3 trial. Nat Med. 2023. Epub 20230417. pmid:37069359.
- 14. Hulin C, Offner F, Moreau P, Roussel M, Belhadj K, Benboubker L, et al. Stem cell yield and transplantation in transplant-eligible newly diagnosed multiple myeloma patients receiving daratumumab + bortezomib/thalidomide/dexamethasone in the phase 3 CASSIOPEIA study. Haematologica. 2021;106(8):2257–60. Epub 20210801. pmid:33657786.
- 15. Popat U, Saliba R, Thandi R, Hosing C, Qazilbash M, Anderlini P, et al. Impairment of filgrastim-induced stem cell mobilization after prior lenalidomide in patients with multiple myeloma. Biol Blood Marrow Transplant. 2009;15(6):718–23. Epub 20090408. pmid:19450756.
- 16. To LB, Levesque JP, Herbert KE. How I treat patients who mobilize hematopoietic stem cells poorly. Blood. 2011;118(17):4530–40. Epub 20110810. pmid:21832280.
- 17. Fitzhugh CD, Hsieh MM, Bolan CD, Saenz C, Tisdale JF. Granulocyte colony-stimulating factor (G-CSF) administration in individuals with sickle cell disease: time for a moratorium? Cytotherapy. 2009;11(4):464–71. pmid:19513902.
- 18. Daikeler T, Tichelli A, Passweg J. Complications of autologous hematopoietic stem cell transplantation for patients with autoimmune diseases. Pediatr Res. 2012;71(4 Pt 2):439–44. Epub 20120208. pmid:22430379.
- 19. Pusic I, Jiang SY, Landua S, Uy GL, Rettig MP, Cashen AF, et al. Impact of mobilization and remobilization strategies on achieving sufficient stem cell yields for autologous transplantation. Biol Blood Marrow Transplant. 2008;14(9):1045–56. pmid:18721768.
- 20. Giralt S, Costa L, Schriber J, Dipersio J, Maziarz R, McCarty J, et al. Optimizing autologous stem cell mobilization strategies to improve patient outcomes: consensus guidelines and recommendations. Biol Blood Marrow Transplant. 2014;20(3):295–308. Epub 20131017. pmid:24141007.
- 21. Wu B, Chien EY, Mol CD, Fenalti G, Liu W, Katritch V, et al. Structures of the CXCR4 chemokine GPCR with small-molecule and cyclic peptide antagonists. Science. 2010;330(6007):1066–71. Epub 20101007. pmid:20929726.
- 22. Mezzapelle R, Leo M, Caprioglio F, Colley LS, Lamarca A, Sabatino L, et al. CXCR4/CXCL12 Activities in the Tumor Microenvironment and Implications for Tumor Immunotherapy. Cancers (Basel). 2022;14(9). Epub 20220506. pmid:35565443.
- 23. Guo F, Wang Y, Liu J, Mok SC, Xue F, Zhang W. CXCL12/CXCR4: a symbiotic bridge linking cancer cells and their stromal neighbors in oncogenic communication networks. Oncogene. 2016;35(7):816–26. Epub 20150511. pmid:25961926.
- 24. Sukhtankar DD, Chang LW, Tsai CY, Cardarelli PM, Caculitan NG. Pharmacokinetics and Pharmacodynamics of Burixafor Hydrobromide (GPC-100), a Novel C-X-C Chemokine Receptor 4 Antagonist and Mobilizer of Hematopoietic Stem/Progenitor Cells, in Mice and Healthy Subjects. Clin Pharmacol Drug Dev. 2023. Epub 20230804. pmid:37539772.
- 25.
Schuster MM. PD and Safety of TG-0054 Combined With G-CSF in Multiple Myeloma, Non-Hodgkin Lymphoma and Hodgkin Disease Patients (ClinicalTrials.gov Identifier: NCT02104427) https://clinicaltrials.gov/ct2/show/NCT02104427?term=TG-0054&draw=2&rank=12017 [updated April 19, 2021].
- 26. Setia G, Hagog N, Jalilizeinali B, Funkhouser S, Pierzchanowski L, Lan F, et al. A Phase II, Open-Label Pilot Study to Evaluate the Hematopoietic Stem Cell Mobilization of TG-0054 Combined with G-CSF in 12 Patients with Multiple Myeloma, Non-Hodgkin Lymphoma or Hodgkin Lymphoma—an Interim Analysis. Blood. 2015;126(23):515-.
- 27. Nakai A, Hayano Y, Furuta F, Noda M, Suzuki K. Control of lymphocyte egress from lymph nodes through beta2-adrenergic receptors. J Exp Med. 2014;211(13):2583–98. Epub 20141124. pmid:25422496.
- 28. LaRocca TJ, Schwarzkopf M, Altman P, Zhang S, Gupta A, Gomes I, et al. beta2-Adrenergic receptor signaling in the cardiac myocyte is modulated by interactions with CXCR4. J Cardiovasc Pharmacol. 2010;56(5):548–59. pmid:20729750.
- 29. Nakai A, Leach S, Suzuki K. Control of immune cell trafficking through inter-organ communication. Int Immunol. 2021;33(6):327–35. pmid:33751050.
- 30. Spiegel A, Kalinkovich A, Shivtiel S, Kollet O, Lapidot T. Stem cell regulation via dynamic interactions of the nervous and immune systems with the microenvironment. Cell Stem Cell. 2008;3(5):484–92. pmid:18983964.
- 31. Saba F, Soleimani M, Kaviani S, Abroun S, Sayyadipoor F, Behrouz S, et al. G-CSF induces up-regulation of CXCR4 expression in human hematopoietic stem cells by beta-adrenergic agonist. Hematology. 2015;20(8):462–8. Epub 20141217. pmid:25517250.
- 32. Maestroni GJM. Adrenergic Modulation of Hematopoiesis. J Neuroimmune Pharmacol. 2020;15(1):82–92. Epub 20190214. pmid:30762159.
- 33. Katayama Y, Battista M, Kao WM, Hidalgo A, Peired AJ, Thomas SA, et al. Signals from the sympathetic nervous system regulate hematopoietic stem cell egress from bone marrow. Cell. 2006;124(2):407–21. pmid:16439213.
- 34. Hanoun M, Maryanovich M, Arnal-Estape A, Frenette PS. Neural regulation of hematopoiesis, inflammation, and cancer. Neuron. 2015;86(2):360–73. pmid:25905810.
- 35. Schraml E, Fuchs R, Kotzbeck P, Grillari J, Schauenstein K. Acute adrenergic stress inhibits proliferation of murine hematopoietic progenitor cells via p38/MAPK signaling. Stem Cells Dev. 2009;18(2):215–27. pmid:18444787.
- 36. Hwa YL, Shi Q, Kumar SK, Lacy MQ, Gertz MA, Kapoor P, et al. Beta-blockers improve survival outcomes in patients with multiple myeloma: a retrospective evaluation. Am J Hematol. 2017;92(1):50–5. Epub 20161118. pmid:27733010.
- 37. Hwa YL, Lacy MQ, Gertz MA, Kumar SK, Muchtar E, Buadi FK, et al. Use of beta blockers is associated with survival outcome of multiple myeloma patients treated with pomalidomide. Eur J Haematol. 2021;106(3):433–6. Epub 20210105. pmid:33259093.
- 38. Bruns I, Cadeddu RP, Brueckmann I, Frobel J, Geyh S, Bust S, et al. Multiple myeloma-related deregulation of bone marrow-derived CD34(+) hematopoietic stem and progenitor cells. Blood. 2012;120(13):2620–30. Epub 20120418. pmid:22517906.
- 39. Knight JM, Rizzo JD, Hari P, Pasquini MC, Giles KE, D’Souza A, et al. Propranolol inhibits molecular risk markers in HCT recipients: a phase 2 randomized controlled biomarker trial. Blood Adv. 2020;4(3):467–76. pmid:32027744.
- 40. Wong GW, Boyda HN, Wright JM. Blood pressure lowering efficacy of partial agonist beta blocker monotherapy for primary hypertension. Cochrane Database Syst Rev. 2014;2014(11):CD007450. Epub 20141127. pmid:25427719.
- 41. Nair R, Subramaniam V, Barwick BG, Gupta VA, Matulis SM, Lonial S, et al. beta adrenergic signaling regulates hematopoietic stem and progenitor cell commitment and therapy sensitivity in multiple myeloma. Haematologica. 2022;107(9):2226–31. Epub 20220901. pmid:35511673.
- 42. Park C, Lee JW, Kim K, Seen DS, Jeong JY, Huh WK. Simultaneous activation of CXC chemokine receptor 4 and histamine receptor H1 enhances calcium signaling and cancer cell migration. Sci Rep. 2023;13(1):1894. Epub 20230202. pmid:36732336.
- 43. Isbilir A, Moller J, Arimont M, Bobkov V, Perpina-Viciano C, Hoffmann C, et al. Advanced fluorescence microscopy reveals disruption of dynamic CXCR4 dimerization by subpocket-specific inverse agonists. Proc Natl Acad Sci U S A. 2020;117(46):29144–54. Epub 20201104. pmid:33148803.
- 44. Miller EB, Murphy RB, Sindhikara D, Borrelli KW, Grisewood MJ, Ranalli F, et al. Reliable and Accurate Solution to the Induced Fit Docking Problem for Protein-Ligand Binding. J Chem Theory Comput. 2021;17(4):2630–9. Epub 20210329. pmid:33779166.
- 45. Song YB, Park CO, Jeong JY, Huh WK. Monitoring G protein-coupled receptor activation using an adenovirus-based beta-arrestin bimolecular fluorescence complementation assay. Anal Biochem. 2014;449:32–41. Epub 20131220. pmid:24361713.
- 46. Kroeze WK, Sassano MF, Huang XP, Lansu K, McCorvy JD, Giguere PM, et al. PRESTO-Tango as an open-source resource for interrogation of the druggable human GPCRome. Nat Struct Mol Biol. 2015;22(5):362–9. Epub 20150420. pmid:25895059.
- 47. Challen GA, Boles N, Lin KK, Goodell MA. Mouse hematopoietic stem cell identification and analysis. Cytometry A. 2009;75(1):14–24. pmid:19023891.
- 48. Purton LE. Adult murine hematopoietic stem cells and progenitors: an update on their identities, functions, and assays. Exp Hematol. 2022;116:1–14. Epub 20221023. pmid:36283572.
- 49. Kronstein-Wiedemann R, Tonn T. Colony Formation: An Assay of Hematopoietic Progenitor Cells. Methods Mol Biol. 2019;2017:29–40. pmid:31197766.
- 50. Choi WT, Tian S, Dong CZ, Kumar S, Liu D, Madani N, et al. Unique ligand binding sites on CXCR4 probed by a chemical biology approach: implications for the design of selective human immunodeficiency virus type 1 inhibitors. J Virol. 2005;79(24):15398–404. pmid:16306611.
- 51. Cheng ZJ, Zhao J, Sun Y, Hu W, Wu YL, Cen B, et al. beta-arrestin differentially regulates the chemokine receptor CXCR4-mediated signaling and receptor internalization, and this implicates multiple interaction sites between beta-arrestin and CXCR4. J Biol Chem. 2000;275(4):2479–85. pmid:10644702.
- 52. Lagane B, Chow KY, Balabanian K, Levoye A, Harriague J, Planchenault T, et al. CXCR4 dimerization and beta-arrestin-mediated signaling account for the enhanced chemotaxis to CXCL12 in WHIM syndrome. Blood. 2008;112(1):34–44. Epub 20080424. pmid:18436740.
- 53. Guo S, Zhao T, Yun Y, Xie X. Recent progress in assays for GPCR drug discovery. Am J Physiol Cell Physiol. 2022;323(2):C583–C94. Epub 20220711. pmid:35816640.
- 54. Zeghal M, Laroche G, Giguere PM. Parallel Interrogation of beta-Arrestin2 Recruitment for Ligand Screening on a GPCR-Wide Scale using PRESTO-Tango Assay. J Vis Exp. 2020;(157). Epub 20200310. pmid:32225148.
- 55. Bianchi ME, Mezzapelle R. The Chemokine Receptor CXCR4 in Cell Proliferation and Tissue Regeneration. Front Immunol. 2020;11:2109. Epub 20200828. pmid:32983169.
- 56. Ling L, Hou J, Liu D, Tang D, Zhang Y, Zeng Q, et al. Important role of the SDF-1/CXCR4 axis in the homing of systemically transplanted human amnion-derived mesenchymal stem cells (hAD-MSCs) to ovaries in rats with chemotherapy-induced premature ovarian insufficiency (POI). Stem Cell Res Ther. 2022;13(1):79. Epub 20220223. pmid:35197118.
- 57. Skroblyn T, Joedicke JJ, Pfau M, Kruger K, Bourquin JP, Izraeli S, et al. CXCR4 mediates leukemic cell migration and survival in the testicular microenvironment. J Pathol. 2022;258(1):12–25. Epub 20220606. pmid:35522562.
- 58. Fiegl M, Samudio I, Clise-Dwyer K, Burks JK, Mnjoyan Z, Andreeff M. CXCR4 expression and biologic activity in acute myeloid leukemia are dependent on oxygen partial pressure. Blood. 2009;113(7):1504–12. Epub 20081028. pmid:18957686.
- 59. Gomes I, Sierra S, Devi LA. Detection of Receptor Heteromerization Using In Situ Proximity Ligation Assay. Curr Protoc Pharmacol. 2016;75:2 16 1–2 31. Epub 20161213. pmid:27960030.
- 60. Jean-Charles PY, Kaur S, Shenoy SK. G Protein-Coupled Receptor Signaling Through beta-Arrestin-Dependent Mechanisms. J Cardiovasc Pharmacol. 2017;70(3):142–58. pmid:28328745.
- 61. Ranjan R, Dwivedi H, Baidya M, Kumar M, Shukla AK. Novel Structural Insights into GPCR-beta-Arrestin Interaction and Signaling. Trends Cell Biol. 2017;27(11):851–62. Epub 20170623. pmid:28651823.
- 62. Smit MJ, Schlecht-Louf G, Neves M, van den Bor J, Penela P, Siderius M, et al. The CXCL12/CXCR4/ACKR3 Axis in the Tumor Microenvironment: Signaling, Crosstalk, and Therapeutic Targeting. Annu Rev Pharmacol Toxicol. 2021;61:541–63. Epub 20200921. pmid:32956018.
- 63. Broxmeyer HE, Orschell CM, Clapp DW, Hangoc G, Cooper S, Plett PA, et al. Rapid mobilization of murine and human hematopoietic stem and progenitor cells with AMD3100, a CXCR4 antagonist. J Exp Med. 2005;201(8):1307–18. pmid:15837815.
- 64. Hoggatt J, Singh P, Tate TA, Chou BK, Datari SR, Fukuda S, et al. Rapid Mobilization Reveals a Highly Engraftable Hematopoietic Stem Cell. Cell. 2018;172(1–2):191–204 e10. Epub 20171207. pmid:29224778.
- 65. Redpath AN, Francois M, Wong SP, Bonnet D, Rankin SM. Two distinct CXCR4 antagonists mobilize progenitor cells in mice by different mechanisms. Blood Adv. 2017;1(22):1934–43. Epub 20171010. pmid:29296840.
- 66. Challen GA, Pietras EM, Wallscheid NC, Signer RAJ. Simplified murine multipotent progenitor isolation scheme: Establishing a consensus approach for multipotent progenitor identification. Exp Hematol. 2021;104:55–63. Epub 20211011. pmid:34648848.
- 67. Gurevich VV, Gurevich EV. Targeting arrestin interactions with its partners for therapeutic purposes. Adv Protein Chem Struct Biol. 2020;121:169–97. Epub 20191218. pmid:32312421.
- 68. Jorgensen AS, Daugvilaite V, De Filippo K, Berg C, Mavri M, Benned-Jensen T, et al. Biased action of the CXCR4-targeting drug plerixafor is essential for its superior hematopoietic stem cell mobilization. Commun Biol. 2021;4(1):569. Epub 20210512. pmid:33980979.
- 69. Hauser AS, Attwood MM, Rask-Andersen M, Schioth HB, Gloriam DE. Trends in GPCR drug discovery: new agents, targets and indications. Nat Rev Drug Discov. 2017;16(12):829–42. Epub 20171027. pmid:29075003.
- 70. Laeremans T, Sands ZA, Claes P, De Blieck A, De Cesco S, Triest S, et al. Accelerating GPCR Drug Discovery With Conformation-Stabilizing VHHs. Front Mol Biosci. 2022;9:863099. Epub 20220523. pmid:35677880.
- 71. Dale NC, Johnstone EKM, Pfleger KDG. GPCR heteromers: An overview of their classification, function and physiological relevance. Front Endocrinol (Lausanne). 2022;13:931573. Epub 20220830. pmid:36111299.
- 72. Felce JH, MacRae A, Davis SJ. Constraints on GPCR Heterodimerization Revealed by the Type-4 Induced-Association BRET Assay. Biophys J. 2019;116(1):31–41. Epub 20181122. pmid:30558888.
- 73. Pin JP, Kniazeff J, Prezeau L, Liu JF, Rondard P. GPCR interaction as a possible way for allosteric control between receptors. Mol Cell Endocrinol. 2019;486:89–95. Epub 20190305. pmid:30849406.
- 74. Lan TH, Kuravi S, Lambert NA. Internalization dissociates beta2-adrenergic receptors. PLoS One. 2011;6(2):e17361. Epub 20110222. pmid:21364942.
- 75. Milligan G. G protein-coupled receptor hetero-dimerization: contribution to pharmacology and function. Br J Pharmacol. 2009;158(1):5–14. Epub 20090320. pmid:19309353.
- 76. Alam MS. Proximity Ligation Assay (PLA). Methods Mol Biol. 2022;2422:191–201. pmid:34859407.
- 77. Agle KA, Vongsa RA, Dwinell MB. Calcium mobilization triggered by the chemokine CXCL12 regulates migration in wounded intestinal epithelial monolayers. J Biol Chem. 2010;285(21):16066–75. Epub 20100326. pmid:20348095.
- 78. Galaz-Montoya M, Wright SJ, Rodriguez GJ, Lichtarge O, Wensel TG. beta(2)-Adrenergic receptor activation mobilizes intracellular calcium via a non-canonical cAMP-independent signaling pathway. J Biol Chem. 2017;292(24):9967–74. Epub 20170425. pmid:28442571.
- 79. Nguyen AH, Thomsen ARB, Cahill TJ 3rd, Huang R, Huang LY, Marcink T, et al. Structure of an endosomal signaling GPCR-G protein-beta-arrestin megacomplex. Nat Struct Mol Biol. 2019;26(12):1123–31. Epub 20191118. pmid:31740855.
- 80. Snoeck HW. Calcium regulation of stem cells. EMBO Rep. 2020;21(6):e50028. Epub 20200517. pmid:32419314.
- 81. Fric J, Lim CX, Mertes A, Lee BT, Vigano E, Chen J, et al. Calcium and calcineurin-NFAT signaling regulate granulocyte-monocyte progenitor cell cycle via Flt3-L. Stem Cells. 2014;32(12):3232–44. pmid:25100642.
- 82. Vater A, Sahlmann J, Kroger N, Zollner S, Lioznov M, Maasch C, et al. Hematopoietic stem and progenitor cell mobilization in mice and humans by a first-in-class mirror-image oligonucleotide inhibitor of CXCL12. Clin Pharmacol Ther. 2013;94(1):150–7. Epub 20130319. pmid:23588307.
- 83. Almeida-Neto C, Rocha V, Moreira FR, Hamasaki DT, Farias MC, Arrifano AM, et al. Validation of a formula predictive of peripheral blood stem cell yield and successful collection in healthy allogeneic donors. Hematol Transfus Cell Ther. 2020;42(2):164–5 e5. Epub 20190723. pmid:31439517.
- 84. Abraham M, Biyder K, Begin M, Wald H, Weiss ID, Galun E, et al. Enhanced unique pattern of hematopoietic cell mobilization induced by the CXCR4 antagonist 4F-benzoyl-TN14003. Stem Cells. 2007;25(9):2158–66. Epub 20070524. pmid:17525235.
- 85. Lee H, Che J-H, Oh JE, Chung SS, Jung HS, Park KS. Bone marrow stem/progenitor cell mobilization in C57BL/6J and BALB/c mice. lar. 2014;30(1):14–20. pmid:24707300
- 86. Alamo IG, Kannan KB, Bible LE, Loftus TJ, Ramos H, Efron PA, et al. Daily propranolol administration reduces persistent injury-associated anemia after severe trauma and chronic stress. J Trauma Acute Care Surg. 2017;82(4):714–21. pmid:28099381.
- 87. Alamo IG, Kannan KB, Loftus TJ, Ramos H, Efron PA, Mohr AM. Severe trauma and chronic stress activates extramedullary erythropoiesis. J Trauma Acute Care Surg. 2017;83(1):144–50. pmid:28452894.
- 88. Miller ES, Apple CG, Kannan KB, Funk ZM, Efron PA, Mohr AM. The effects of selective beta-adrenergic blockade on bone marrow dysfunction following severe trauma and chronic stress. Am J Surg. 2020;220(5):1312–8. Epub 20200725. pmid:32741547.
- 89. Johnsen AT, Tholstrup D, Petersen MA, Pedersen L, Groenvold M. Health related quality of life in a nationally representative sample of haematological patients. Eur J Haematol. 2009;83(2):139–48. Epub 20090305. pmid:19284418.
- 90. Giles AJ, Chien CD, Reid CM, Fry TJ, Park DM, Kaplan RN, et al. The functional interplay between systemic cancer and the hematopoietic stem cell niche. Pharmacol Ther. 2016;168:53–60. Epub 20160902. pmid:27595927.
- 91.
GPCR Therapeutics I. Ph2, Study to Assess the Safety and Efficacy of GPC 100 and Propranolol With and Without G-CSF for the Mobilization of Stem Cells in Patients With Multiple Myeloma Undergoing Autologous Stem Cell Transplant (ClinicalTrials.gov Identifier: NCT05561751) https://clinicaltrials.gov/ct2/show/NCT05561751?term=GPC-100&draw=2&rank=12023 [updated February 16, 2023].