Further Investigation of the Potential Anti-neoplastic, Anti-inflammatory and Immunomodulatory Actions of Phenoxybenzamine Using the Broad Institute CLUE Platform

Article Information

Mario A. Inchiosa Jr.

Departments of Pharmacology and Anesthesiology, New York Medical College, Valhalla, NY 10595

*Corresponding author: Mario A. Inchiosa, Jr. Departments of Pharmacology and Anesthesiology, New York Medical College, Valhalla, NY 10595

Received: 15 April 2023; Accepted: 24 April 2023; Published: 03 June 2023

Citation: Mario A. Inchiosa, Jr. Further Investigation of the Potential Anti-neoplastic, Antiinflammatory and Immunomodulatory Actions of Phenoxybenzamine Using the Broad Institute CLUE Platform. Journal of Pharmacy and Pharmacology Research. 7 (2023): 80-96.

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Abstract

Previous clinical studies with the FDA-approved alpha-adrenergic antagonist, phenoxybenzamine, showed apparent efficacy to reverse the symptoms and disabilities of the neuropathic condition, Complex Regional Pain Syndrome; also, the anatomic spread and intensity of this syndrome has a proliferative character and it was proposed that phenoxybenzamine may have an anti-inflammatory, immunomodulatory mode of action. A previous study gave evidence that phenoxybenzamine had anti-proliferative activity in suppression of growth in several human tumor cell cultures. The same report demonstrated that the drug possessed significant histone deacetylase inhibitory activity. Utilizing the Harvard/Massachusetts Institute of Technology Broad Institute genomic database, CLUE, the present study suggests that the gene expression signature of phenoxybenzamine in malignant cell lines is consistent with anti-inflammatory/immunomodulatory activity and suppression of tumor expansion by several possible mechanisms of action. A particular feature of the CLUE platform is the identification of potential molecular targets for agents that perturb gene expression. Phenoxybenzamine demonstrated signatures that were highly similar to those with glucocorticoid agonist activity. Also, gene expression signatures of phenoxbenzamine were consistent with several agents in each case that were known to suppress tumor proliferation, notably, protein kinase C inhibitors, Heat Shock Protein inhibitors, epidermal growth factor receptor inhibitors, and glycogen synthase kinase inhibitors. Searches in CLUE also confirmed the earlier observations of strong similarities between gene expression signatures of phenoxybenzamine and several histone deacetylase inhibitors.

Keywords

Phenoxybenzamine; gene expression signature predictions; anti-tumor mechanisms; histone deacetylase inhibitors

Phenoxybenzamine articles; gene expression signature predictions articles; anti-tumor mechanisms articles; histone deacetylase inhibitors articles

Article Details

1. Introduction

A previous study explored a possible anti-proliferative capacity of the drug, phenoxybenzamine (PBZ), as a basis for its apparent therapeutic potential in the treatment of chronic neuropathic pain in the Complex Regional Pain Syndrome (CRPS) [1].  The BroadBuild02, Broad Institute Harvard/Massachusetts Institute of Technology (MIT) Molecular Signature Database (MSigDB) and the associated Connectivity Map (CMap) software were explored for a possible basis for this effect [2, 3].  Gene expression signatures for PBZ on the CMap platform showed appreciable similarity to classical histone deacetylase (HDAC) inhibitors.  An extensive comparison of PBZ with suberanilohydroxamic acid (SAHA) and trichostatin A (TSA) demonstrated gene expression enrichment scores (connectivity) for PBZ that compared equal to or greater than those for SAHA and TSA for several gene expression signatures in MSigDB that are associated with histone modifications [1]. 

For example, this was true for gene expression signatures from ultraviolet exposure of the epidermis in the 100 to 280 nm wavelength range (UVC class radiation); such exposures are associated with trichothiodystrophy syndrome and xeroderma pigmentosum [4].  PBZ also showed highly similar gene expression signatures as those for the histone modifying effects of SAHA and TSA on the viral replication process of human cytomegalovirus; these effects on histones have a “therapeutic” value in the application of oncolytic cancer therapy that is herpes-based [5-7]. A third area of strong agreement among PBZ, SAHA and TSA related to the similarities among their gene expression signatures to those resulting from ultraviolet radiation of normal epidermal keratinocytes in the 280 to 320 nm range (UVB class radiation).  This class of radiation can result in the development of squamous cell or basal cell carcinoma.  TSA has been demonstrated to aid in the recovery of markers of keratinocyte differentiation following UVB radiation [8].  A fourth area of overlap of gene enrichment scores among HDAC inhibitors and PBZ related to the known inhibitory effects of TSA, SAHA, valproic acid and sodium butyrate on colon cancer cell lines [9].

In vitro assays in the earlier work confirmed HDAC inhibitory activity for PBZ in several classes of HDACs, with the greatest inhibition upon HDACs 5, 6 and 9 [1].  In the same communication, inhibitory effects of PBZ were demonstrated on the proliferation of several human tumor cell lines; the most sensitivity was observed in non-small-cell lung, lymphoma, myeloma, ovarian, and prostate cell cultures. The present study concerns further investigation of PBZ gene expression profiles in the new cloud-based version of the Broad Institute gene expression database, the CLUE platform; this database continues to be identified as the Connectivity Map (CMap) [10]. However, the new platform is a major expansion of the catalog of cellular gene signature responses of human malignant and premalignant cells to chemical and genetic perturbation.

The analyses in the present study have identified a number of gene expression signatures for PBZ that are closely similar to a large group of glucocorticoids, drugs that are known to have anti-inflammatory and immunomodulatory actions; these agents have a steroid chemical structure, but PBZ has no elements of such a structure (Fig 1).  PBZ also had strong gene signature connectivity with several groups of agents that have well-identified roles in the inhibition of signaling pathways for malignant expansion. This appears to be supportive of the previous observations of inhibition of growth in malignant tumor cell cultures [1]. The CLUE CMap also confirms the similarities among gene expression signatures for PBZ and HDAC inhibitors in the expanded group of 9 malignant and premalignant cell lines. The present studies of potential anti-proliferative, anti-inflammatory and immunomodulatory activity for PBZ would appear to support the previous observations and help to gain insight to develop hypotheses for repurposing PBZ for new therapeutic applications. Finally, recent studies by other investigators, which are enumerated herein, are consistent with a broadening perspective about the potential therapeutic attributes of the drug.

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Figure 1:  Chemical structure of phenoxybenzamine HCl

2. Methods

Both the earlier online Broad Institute CMap genomic dataset and the new cloud-based CLUE platform are based on the gene expression signatures that result from the perturbation of actively proliferating cells that are malignant and, in one case, premalignant.  The database and associated software are accessible at https://clue.io.  The drugs, chemical agents and genetic inputs are referred to as, “perturbagens” [2, 10].  The present analyses focused on gene-expression signatures located in the “TOUCHSTONE” dataset (accessed in the “Tools” menu) that was selected because it represents a set of thoroughly annotated small molecule perturbagens that would be expected to be relevant to comparisons with the possible effect of PBZ; see:  https://clue.io/connectopedia/tag/TOUCHSTONE. The Touchstone dataset contains a total of approximately 8,400 perturbagens that have produced gene signatures that were generated from testing on a panel of 9 cell lines; those cell lines are detailed in Table 1.  In almost all instances, the perturbagens were tested at a concentration of 10 µM, allowing for the comparison of the strength of the connectivity of gene expression between agents at equimolar concentrations; this included the instances for PBZ, as well.

Table 1:  Cell Lines Profiled in the TOUCHSTONE Database

Cell Line

Description

A375

Human malignant melanoma

A549

Human non-small cell carcinoma

HA1E

Human kidney epithelial immortalized

HCC515

Human non-small cell lung adenocarcinoma

HEPG2

Human hepatocellular carcinoma cell line

MCF7

Human breast adenocarcinoma

PC3

Human prostate adenocarcinoma

VCAP

Human metastatic prostate cancer

HT29

Human colorectal adenocarcinoma

It should be noted that the dataset in the earlier online platform of CMap was based almost entirely on perturbations in only 3 tumor cell lines, including MCF7 (human breast adenocarcinoma), PC3 (human prostate adenocarcinoma) and HL60 (human promyeloblast); the first two cell lines are among the 9 in the current CLUE platform.  In fact, in the case of PBZ, it was only screened with the MCF7 and PC3 cell lines. The scoring value obtained in the gene expression analyses is termed “tau;” it ranges from 100 to -100 and is a measure of the connectivity between the gene expression signature of the perturbagen of interest (PBZ in our searches) and those of the other 8400 perturbagens in the database.  A positive tau indicates a relative similarity between two perturbagens or group of perturbagens, while a negative score indicates relative opposing gene signatures.  Thus, for example, a tau score of 95 indicates that only 5% of the signatures in the database had connectivities that were higher than those to PBZ; see:  https://clue.ie/connectipedia/connectivity_scores

The Touchstone site returns two data formats in response to a query about the similarities or differences between a perturbagen of interest and the other perturbagens in the database.  The compound being searched against all other entries in the Touchstone database is termed the “INDEX.”  A “heatmap” format presents the connectivity score between the query perturbagen (PBZ) and each of the reference perturbagens in the database for each of the 9 cells lines that have been studied.  The second format is the “detailed list” output.  In our experience, this output provided the most convenient access to information that relates to the primary focus of the present studies.  The detailed list format also includes the protein targets of the individual perturbagens.  Both formats provide comparison of the gene signatures of PBZ with members of the four perturbagen classes in the Touchstone database. Those classes are identified as: Chemical compound/pharmacologic agent (CP); Gene knock-down (KD); Gene over-expression (OE); and perturbagen class (PCL).  In the heat map format, PBZ signatures were compared with the entire Touchstone database of perturbagens (approximately 8400).  Since our primary interest was to search for drugs and chemicals that had recognized mechanisms of action that might strengthen previous findings and support hypotheses for the repurposing of PBZ therapeutically, we focused our searches in the detailed list format to the CP agents; this represented approximately 2400 compounds.

The heatmap output that is presented gives the calculated median tau score (connectivity) for the 9 cell lines and a “summarization” measure. For all other results, the connectivity scores that are presented are the summarization measure.  This measure is calculated across the 9 cell lines. It is valuable since it provides a measure of the consistency of perturbations from one cell line to another. The algorithms for the calculation of tau and the summarization measure, and for the associated formulas, are presented at:  https://clue.io/connectopedia/cmap_algorithms. The results represent the status of the CLUE platform when last accessed on June 4 to 5, 2019; the database is dynamic and changes slightly as new perturbagens are added.

3. Results

A portion of the heatmap output for an inquiry of gene expression signatures with similarities to PBZ is presented in Fig 2.  Obviously, PBZ profiled against itself results in the highest score.  It should be noted that the median tau (connectivity) score for the 9 cell results and the summary is reported in this output presentation.  When searching this output in the cloud-based platform, the tau scores for the individual cell results can be accessed by placing the cursor over the cell result. This is an important feature of the software since it allows identification of the relative connectivity for a query perturbagen with each of the 9 tumor cell types, which may be valuable in recognizing specific mechanisms of action that may have therapeutic applications.

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Figure 2: Heatmap of association strengths (median tau score) between gene expression signatures of phenoxybenzamine in 9 human malignant cell cultures and those of all entities in the Touchstone database.  The cell identities (id) are listed in Table 1. The CMap classes (type) are as follows:  Chemical compound/pharmacologic agent (CP); gene knock-down (KD); gene over-expression (OE); and perturbagen class (PCL).

For illustration purposes, the heat map screen shot in Fig 2 presents median tau scores that are 90 or greater.  These results are generated from comparisons between PBZ and 8387 of the four CMap classes of perturbagens in the Touchstone database, i.e., CP, KD, OE, and PCL, as seen under the column labeled “type.”  Even in this limited portion of the output, there are 4 glucocorticoid receptor agonists represented.  As noted above, and illustrated further below, glucocorticoids ranked as the largest perturbagen class in relation to gene expression signatures that were similar to PBZ.

When the detailed list option in Touchstone was queried for gene expression signatures that had connectivity with PBZ it returned the gene set enrichment scores [2, 10] for groups of compounds represented in defined PCL sets (Table 2). A number of perturbagen classes of biological interest were identified with group scores above 90; these are considered by the program developers to be of strong interest in development of hypotheses for mechanisms of action and therapeutic application; see:  https://clue.ie/connectipedia/connectivity_scores.  There were no perturbagen classes that had group scores opposing the gene expression profiles of PBZ, i.e., there were none with scores that were -90 or lower. The perturbagen classes are organized initially on the basis of 3 or more perturbagens with the same mechanism of action. However, it is essential that there is strong connectivity of gene expression signatures among all members of a class; see:  https://clue.io/connectopedia/pdf/pcls.

Table 2: CMap Class: PHARMACOLOGIC

“Sets of compound perturbagens with enrichment scores above 90 (similar) and below -90 (opposing)” in relation to their correspondence with the gene expression signatures of phenoxybenzamine:

        Perturbagen Class (PCL)

Group Enrichment Score

Progesterone receptor agonist x 12

99.5

Glucocorticoid receptor agonist x 44

98.78

Aromatase inhibitor x 3

97.98

Glycogen synthase kinase inhibitor x 11

97.63

HSP inhibitor x 7

96.76

EGFR inhibitor x 14

96.33

PPAR receptor agonist x 16

95.4

DNA synthesis inhibitor x 3

95.02

PKC inhibitor x 7

93.75

JAK inhibitor x 5

92.59

HIV protease inhibitor x 4

92.34

Cannabinoid receptor agonist x 8

91.13

HSP, heat shock protein 90; EGFR, epidermal growth factor; PPAR, peroxisome proliferator-activated receptor; PKC, protein kinase C; JAK, Janus kinase; HIV, human immunodeficiency virus.

Each of the perturbagen classes in Table 2 was examined in the Touchstone detailed list for its members; these results are presented in Tables 3, 4, and 5.  Only comparisons of PBZ with chemical compounds/drugs (the CP class) were searched in these queries; this represented 2429 agents. For these analyses, all agents with connectivity scores above 85 when compared with PBZ were included; for example, in the case of drugs with glucocorticoid agonist activity (Table 3) this included 30 of the 44 agents of that perturbagen class with this activity in the Touchstone database.

Table 3:Perturbagen Class with a Major Number of Gene Expression Signature Similarities to Phenoxybenzamine

Score

ID

Name

Description

Targets

Glucocorticoid Receptor Agonists

99.93

24

Depomedrol

Glucocorticoid receptor agonist

99.93

9173

Halcinonide

Glucocorticoid receptor agonist

NR3C1

99.93

3476

Clocortolone

Glucocorticoid receptor agonist

NR3C1, PLA2G1B

99.93

8138

Budesonide

Glucocorticoid receptor agonist

NR3C1, CYP3A5, CYP3A7

99.93

1468

Prednisolone

Glucocorticoid receptor agonist

NR3C1, NR3C2, SERPINA6

99.93

5801

Fludroxycortide

Glucocorticoid receptor agonist

NR3C1, SERPINA6

99.93

9782

Fludrocortisone

Glucocorticoid receptor agonist

NR3C2, AR, NR3C1

99.93

8930

Amcinonide

Glucocorticoid receptor agonist

NR3C1, ANXA1

99.89

537

Beclometasone

Glucocorticoid receptor agonist

NR3C1, CYP3A5, GPR97, SERPINA6

99.82

6322

Fluocinonide

Glucocorticoid receptor agonist

NR3C1, SERPINA6, SMO

99.72

630

Mometasone

Glucocorticoid receptor agonist

NR3C1

99.72

871

Triamcinolone

Glucocorticoid receptor agonist

NR3C1, CYP3A5, CYP3A7, SERPINA6

99.51

8384

Beclometasone

Glucocorticoid receptor agonist

NR3C1, CYP3A5, GPR97, SERPINA6

99.44

3550

Prednisolone

Glucocorticoid receptor agonist

NR3C1, NR3C2, SERPINA6

98.27

379

Fluticasone

Glucocorticoid receptor agonist

NR3C1, CYP3A5, CYP3A7, NR3C2, PGR, PLA2G4A

98.27

3907

Isoflupredone

Glucocorticoid receptor agonist

NR3C1

98.13

232

Westcort

Glucocorticoid receptor agonist

97.74

6775

Hydrocortisone

Glucocorticoid receptor agonist

ANXA1, NOS2, NR3C1, NR3C2

97.53

9987

Flunisolide

Cytochrome P450 inhibitor

NR3C1

97.5

6607

Flumetasone

Glucocorticoid receptor agonist

NR3C1, PLA2G1B

97.38

5496

Clobetasol

Glucocorticoid receptor agonist

NR3C1, PLA2G1B

96.45

7533

Rimexolone

Glucocorticoid receptor agonist

NR3C1, SERPINA6

95.26

3086

Loteprednol

Glucocorticoid receptor agonist

NR3C1

93.94

3609

Fluocinolone

Glucocorticoid receptor agonist

NR3C1, SERPINA6

89.54

7842

Prednisolone

Glucocorticoid receptor agonist

NR3C1, NR3C2, SERPINA6

87.05

1694

Alclometasone

Glucocorticoid receptor agonist

NR3C1, SERPINA6

86.97

4993

Diflorasone

Corticosteroid agonist

NR3C1, PLA2G1B

86.66

903

Betamethasone

Glucocorticoid receptor agonist

NR3C1

85.73

7903

Prednicarbate

Phospholipase activator

NR3C1, PLA2G1B

85

3711

Hydrocortisone

Glucocorticoid receptor agonist

ANXA1, NOS2, NR3C1, NR3C2

NR3C1, glucocorticoid receptor; NR3C2, mineralocorticoid receptor; PLA2G1B, phospholipase A2 Group 1B; CYP3A5, CYP3A7, cytochrome P450 enzymes; SERPINA6, corticosteroid-binding globulin; AR, androgen receptor; ANXA1, annexin A1; GPR97, adhesion G protein-coupled receptor; SMO, smoothened, frizzled class receptor; PGR, progesterone receptor; PLA2G4A, cytosolic phospholipase A2; NOS2, nitric oxide synthase 2.

Table 4: Perturbagen Classes with an Intermediate Number of Gene Expression Signature Similarities to Phenoxybenzamine

Score

ID

Name

Description

Targets

Epidermal Growth Factor Receptor (EGFR) Inhibitors

99.04

5772

PD-158780

EGFR Inhibitor

EGFR

98.34

1771

WZ-4-145

EGFR Inhibitor

CSF1R, DDR1, EGFR, PDGFRA, TIE1

98.31

6544

Neratinib

EGFR Inhibitor

EGFR, ERBB2, ERBB4, KDR

97.59

8500

Canertinib

EGFR Inhibitor

EGFR, ERBB2, ERBB4, AKT1

97.55

5015

Afatinib

EGFR Inhibitor

EGFR, ERBB2, ERBB4

97.22

9039

AG-879

Angiogenesis Inhibitor

ERBB2, KDR, NTRK1

95.63

6408

Tyrphostin AG-478

EGFR Inhibitor

EGFR, MAPK14

93.6

1845

Erlotinib

EGFR Inhibitor

EGFR, NR1I2

Protein Kinase C (PKC) Inhibitors

99.14

2990

CGP-53353

EGFR Inhibitor

EGFR, PRKCB

96.28

3131

GSK-3- inhibitor-IX

Glycogen Synthase Inhibitor

ALOX5, GSK3A, GSK3B

88.66

1945

GSK-3- inhibitor-II

PKC Inhibitor

GSK3B

85.88

4599

Enzastaurin

PKC Inhibitor

PRKCB, AKT1, GSK3B, PRKCA, PRKCD, PRKCG

85.28

3804

SA-792987

PKC Inhibitor

WEE1

Glycogen Synthase Kinase (GSK) Inhibitors

96.28

3131

GSK-3-inhibitor-IX

GSK Inhibitor

ALOX5, GSK3A, GSK3B

95.7

6521

Indirubin

CDK Inhibitor

CDK1, CDK5, CCNE1, CDK2, CDK4, CDK5R1, CDK9, GSK3A, GSK3B, LCK, LRRK1, LRRK2

95.29

9060

Indirubin

CDK Inhibitor

CDK1, CDK5, CCNE1, CDK2, CDK4, CDK5R1, CDK9, GSK3A, GSK3B, LCK, LRRK1, LRRK2

88.66

1945

GSK-3-inhibitor-II

PKC Inhibitor

GSK3B

88.62

2577

CDK1-5-inhibitor

CDK Inhibitor

CDK1, CDK5, GSK3B

Progesterone Receptor Agonists

99.93

6340

Medroxyprogesterone

Progesterone Agonist

PGR, ESR1

99.81

2134

Megestrol

Progesterone Agonist

PGR

99.03

4968

Progesterone

Progesterone Agonist

PGR, CYP17A1, NR3C2, CATSPER1, CATSPER2, CATSPER3, CATSPER4, CYP2C19, ESR1, OPRK1, TRPC5

97.58

9968

Megestrol

Progesterone Agonist

PGR

90.04

3092

Levonorgestrel

Estrogen Agonist

PGR, AR, CYP2E1, ESR1, SRD5A1

CSF1R, colony stimulating factor 1 receptor; DDR1, discoidin domain receptor 1; PDGFRA, platelet-derived growth factor receptor-alpha; TIE1, tyrosine kinase with immunoglobulin like and EGF like domains 1; ERBB2, ERBB4, receptor tyrosine kinases; KDR, kinase insert domain receptor; AKT1, serine-threonine protein kinase; NTRK1, neurotrophic tyrosine kinase receptor type 1; MAPK14, mitogen-activated protein kinase 14; NR1I2, nuclear receptor subfamily 1, group I, member 2; PRKCA, PRKCB, PRKCD, PRKCG, protein kinase C alpha, beta, delta, gamma; ALOX5, arachidonate 5-lipoxygenase; GSK3A, GSK3B, glycogen synthase kinase-3 alpha, beta; WEE1, nuclear tyrosine kinase (regulates entry into mitosis);  CDK1, CDK2, CDK4, CDK5, CDK9, cyclin-dependent kinase 1, 2, 4, 5, 9; CDK5R1, cyclin dependent kinase 5 regulatory subunit 1; CCNE1, cyclin E1; LCK, lymphocyte specific protein tyrosine kinase; LRRK1, LRRK2, leucine-rich repeat kinase 1, 2; PGR, progesterone receptor; ESR1, estrogen receptor alpha; CYP17A1, CYP2C19, CYP2E1, cytochrome P450 17A1, 2C19, 2E1; NR3C2, mineralocorticoid receptor; CATSPER1, CATSPER2, CATSPER3, CATSPER4, cation channel sperm associated 1, 2, 3, 4; OPRK1, opioid receptor, kappa-1; TRPC5, transient receptor potential channel 5; AR, androgen receptor; SRD5A1, steroid-5-alpha-reductase, alpha.

Table 5: Perturbagen Classes with a Smaller Number of Gene Expression Signature Similarities to Phenoxybenzamine

Score

ID

Name

Description

Targets

Peroxisome Proliferator-Activated Receptor (PPAR) Agonists

98.35

6879

15-delta-prostaglandin-j2

PPAR Receptor Agonist

PPARG, NR1H4

93.48

8455

Bezafibrate

PPAR Receptor Agonist

PPARA, PPARD, PPARG, HSD11B1, LPL

86.75

692

Ciglitazone

PPAR Receptor Agonist

PPARG, INS

86.65

6405

L-165041

PPAR Receptor Agonist

PPARD

Heat Shock Protein 90 (HSP90) Inhibitors

99.29

1950

Radicicol

HSP90 Inhibitor

ACLY, DLAT, HSP90AB1, HSP90B1, MAP3K7, OPRM1, PDK3

98.31

8098

Alvespimycin

HSP90 Inhibitor

HSP90AA1

94.83

7704

BIIB021

HSP90 Inhibitor

AOX1, HSP90AA1

92.17

3129

HSP90-Inhibitor

HSP90 Inhibitor

HSP90AA1, HSP90AB1

Aromatase Inhibitors

98.51

1725

Exemestane

Aromatase Inhibitor

CYP19A1

87.63

1025

Formestane

Aromatase Inhibitor

CYP19A1

85.95

3702

Androsta-1,4-dien-3,17-dione

Aromatase Inhibitor

CYP19A1

Janus Kinase (JAK) Inhibitors

96.3

71

JAK3-Inhibitor-II

JAK Inhibitor

EGFR, ALK, JAK1, JAK2, JAK3

93.61

1103

JAK3-Inhibitor-I

JAK Inhibitor

JAK3

90.57

6108

JAK3-Inhibitor-VI

JAK Inhibitor

JAK3

DNA Synthesis Inhibitors

99.5

8690

Floxuridine

DNA Synthesis Inhibitor

TYMS

85.33

7631

Mitomycin-c

DNA Alkylating Agent

85.28

8707

Fludarabine

DNA Synthesis Inhibitor

ADA, DCK, POLA1, RRM1, RRM2

Cannabinoid Receptor Agonists

98.04

5700

BRD-K65285700

Cannabinoid Receptor Agonist

CNR2

94.46

5233

GW-405833

Cannabinoid Receptor Agonist

CNR2

Human Immunodeficiency Virus (HIV) Protease Inhibitor

90.6

6500

Indinavir

HIV Protease Inhibitor

CYP3A5

NR1H4, nuclear hormone receptor/Farnesoid X receptor (FXR); HSD11B1, 11β-Hydroxysteroid dehydrogenase type 1; LPL, lipoprotein lipase; INS, insulin; ACLY, ATP-citrate lyase; DLAT, dihydrolipoamide acetyltransferase; HSP90AA1, HSP90AB1, HSP90B1, classes HSPC1, HSPC3, HSPC4, respectively; MAP3K7, mitogen-activated protein kinase kinase kinase 7; OPRM1, mu-opioid receptor; PDK3, pyruvate dehydrogenase kinase 3; AOX1, aldehyde oxidase 1; CYP19A1, cytochrome P45019A1/aromatase; EGFR, epidermal growth factor receptor; ALK, anaplastic lymphoma kinase; TYMS, thymidylate synthase; ADA, adenosine deaminase; DCK, deoxycytidine kinase; POLA1, DNA polymerase-alpha; RRM1, RRM2, ribonucleotide reductase subunits M1 and M2; CNR2, cannabinoid receptor type 2; CYP3A5, cytochrome P4503A5.

HDAC inhibitors were not represented as a PCL set in the initial output (Table 2), but a search of this class in the detailed list database of Touchstone yielded the connectivities with PBZ for some of these agents (Table 6).  Confirmation of connectivity of PBZ with HDAC inhibitors in the CLUE platform was consistent with our earlier report using the on-line version of CMap, and where PBZ was shown to directly inhibit several HDAC enzymes [1].

Table 6: Histone Deacetylase (HDAC) Inhibitors with Gene Expression Signature Similarities to Phenoxybenzamine

Score

ID

Name

Description

Targets

96.77

2207

Phenylbutyrate

HDAC inhibitor

CYP3A5, HDAC1

94.51

6356

Rhamnetin

HDAC inhibitor

ALOX5, MAPK8

94.09

8671

HNHA

HDAC inhibitor

HDAC1

91.58

9950

NSC-3852

HDAC inhibitor

HDAC1

91

7640

JNJ-26854165

HDAC inhibitor

HDACs1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, MDM2

85.7

2742

Trichostatin-A

HDAC inhibitor

HDACs1, 2, 3, 4, 5,

6, 7, 8, 9, 10

CYP3A5, cytochrome 4503A5; ALOX5, arachidonate 5-lipoxygenase; MAPK8, mitogen-activated protein kinase 8; MDM2, E3 ubiquitin-protein ligase Mdm2

There are some prominent individual examples of gene expression connectivity between PBZ and other perturbagens in the database.  One is a summarized connectivity score between PBZ and thalidomide of 98.52.  This is of interest because both thalidomide and PBZ appear to be effective agents in the treatment of CRPS [11-15]; also, thalidomide is an established treatment for myeloma and, in our earlier study, inhibition of growth in a myeloma cell line was one of the more potent effects of PBZ [1]. A second individual example was found in the connectivity score of 99.65 between PBZ and the glutamate receptor antagonist and glutamate release inhibitor, memantine.  Memantine has been shown to have inhibitory effects on the growth of malignant gliomas [16, 17] and PBZ showed anti-proliferative effects on the glioblastoma malignant cell line, U-251, in our previous report [1].  It can be seen that PBZ had a median tau score of 95.03 in comparison with memantine in the heatmap format (Fig.2), where it was ranked with the entire Touchstone database of 8387 entities. As noted, the comparison between PBZ and memantine in the detailed list, with only 2429 chemicals and drugs, is the higher ranking value of 99.65. Thalidomide did not rank above 90 in the heatmap output (Fig. 2).

A third individual example of interest was found in the median tau score for chlorambucil of 95.25 in the heatmap format (Fig. 2), and 97.53 in the detailed list.  Chlorambucil is a well characterized antineoplastic nitrogen mustard alkylating drug that is used in several malignant diseases; it is considered to be less toxic than other drugs of this class.  PBZ carries a warning that it has been shown to be positive in the Ames test for bacterial genetic mutations and in the mouse lymphoma test; it was found to be negative in the in vivo micronucleus test in mice for detection of chromosomal mutations.  The recognition of a gene expression similarity between phenoxbenzamine and chlorambucil is indicative of the insightful comprehensiveness of the CLUE platform because PBZ has been shown to produce a chemically reactive derivative as one of its spontaneous rearrangement products in aqueous solutions, including plasma. And this product can result in covalent adducts with macromolecules, including adrenergic receptors [18].  However, PBZ has not been shown to be a human carcinogen. This concern has been addressed in detail by Te [19] and also updated in one of our publications [15].

4. Discussion

4.1 Glucocorticoid receptor agonists

Table 2 presents the summary of sets of agents by defined perturbagen classes that showed strong connectivity scores with PBZ.  The most prominent class was glucocorticoid receptor agonists; this was completely unanticipated since PBZ shows no resemblance to a steroid chemical structure (Fig 1).  There are a total of 44 drugs with glucocorticoid receptor agonist activity in the Touchstone database; the fact that so many individual glucocorticoids had connectivity scores of 85 or greater (Table 3) would indicate a strong similarity in their gene expression signatures to those of PBZ among the 9 cell types in the analyses.  Of course, glucocorticoids have major systemic and topical therapeutic applications in inflammatory, autoimmune, and allergic syndromes [20]; the current finding of their broadly similar gene expression signatures with PBZ is consistent with the anti-inflammatory/immunomodulatory mechanism of action for PBZ that has been proposed from some of our work and that of others in the neuropathic pain syndrome, CRPS [1, 14, 15, 21].

Also, it is possible that some of the apparent anti-proliferative effects of PBZ that were observed in malignant cell cultures [1] may have a basis in the glucocorticoid receptor agonist activity that is deduced from the CLUE platform. Glucocorticoids have established efficacy in the treatment of several hematopoietic malignancies with lymphatic lineage, including chronic lymphocytic leukemia, acute lymphoblastic leukemia, multiple myeloma, Hodgkin’s lymphoma and non-Hodgkin’s lymphoma [20, 22].  Induction of apoptosis appears to be a primary mechanism in the treatment of these malignancies [23].  In a connection with our previous report, PBZ showed some of its more potent anti-tumor effects against the human lymphoma cell line, SU-DHL-1 [1]

The major drawback in the therapeutic use of glucocorticoids is the adverse effect profile for these drugs; major toxicities include diabetes, Cushing’s syndrome, osteoporosis, muscle atrophy and glaucoma. These effects are dose dependent and reductions in dosages lead to loss of therapeutic effectiveness. As noted, PBZ has no chemical relationship to a glucocorticoid steroid, and none of the classical steroid adverse effects have been observed in its clinical use since its approval by the United States Food and Drug Administration (FDA) in 1953.  PBZ is classified chemically as a haloalkylamine (Fig 1). It is only labeled by the FDA for the treatment of hypertensive emergencies, most particularly for the control of surges of blood pressure from tumors of the adrenal medulla, termed pheochromocytomas. Its proprietary name in the United States is Dibenzyline, and there are generic preparations of the drug. The drug forms covalent bonds with α1- and α2 - adrenergic receptors resulting in a long-lasting non-competitive antagonism of these receptors. The drug has several non-FDA-labeled indications related to its relaxing effects on vascular smooth muscle in peripheral vascular diseases and the smooth muscle of the urogenital tract (http://www.ahfsdruginformation.com; Section 12:16.04.04) [24].  Its vasodilating effect is responsible for most of its relatively minor dose-related side effects of hypotension, dizziness, nasal stuffiness and impotence; these effects appear to be self-limiting to some extent with continued intake [14, 15, 19]. 

The clinical use of PBZ for its smooth muscle relaxing effects on the urogenital tract is a source of information on the tolerability of the drug with long-term administration.  This is found in particular with the earlier use of the drug for the treatment of the obstruction of urine flow in benign prostatic hypertrophy (BPH). Te [19] has summarized the results of 6 clinical trials with the use of PBZ for the chronic treatment of BPH; a total of 530 patients were represented in these trials and no reports of steroid hormone-like side effects were noted. A separation of the desired anti-inflammatory/immunomodulatory effects of glucocorticoids from the initiation of adverse events is not unprecedented in response to glucocorticoid receptor agonist interactions. The biological result is apparently related to which gene-signaling pathways are favored [25]. Agents of this type are of considerable interest in drug development, are non-steroidal chemically, and have been variously termed as “dissociated glucocorticoid receptor ligands” [26], “selective glucocorticoid receptor agonists” (SEGRAs) [27], or examples of “biased signaling” [28]. The focus in these efforts has been to improve the therapeutic index for the glucocorticoid agonist, i.e., to increase the therapeutic to adverse effect ratio.  Kleiman and Tuckerman have summarized the results with some of the biological trials with SEGRAs [29].

4.2 Progesterone receptor agonists

Progesterone receptor agonists are another class of steroid hormones that have applications for certain inflammatory syndromes and cancer therapy. Table 4 includes gene signature connectivities with PBZ for several important progesterone receptor agonists that are used in hormone therapy [30]. The interaction of estrogen and progesterone receptors in malignant transitions, progression, and metastasis causes the application of therapeutic choices to be specific to the organs involved and the state of disease.  Progesterone receptor agonists have a recognized place in the treatment of the hyperplasia and pain of endometriosis and in its possible progression to endometrial cancer, where progesterone agonists are used with some efficacy at various stages of the disease (http://www.ahfsdruginformation.com; Section 68:32) [22, 24, 30].

4.3 Epidermal Growth Factor Receptor Inhibitors

Eight gene expression signatures for inhibitors of epidermal growth factor receptor (EGFR) co-sorted strongly with PBZ (Table 4).  EGFR inhibition has become a major area of investigation and clinical application for many cancers.  Monoclonal antibodies directed against the EGFR receptor and tyrosine kinase inhibitors of these receptors are prominent in clinical treatment today, and other modalities to target and inhibit the receptor are under development [31].  Three of the gene expression signatures for small molecule EGFR kinase inhibitors in Table 4, erlotinib, neratinib and afatinib, are part of the established formulary for neoplastic disease directed against EGFR receptors [32].

4.4 Protein Kinase C Inhibitors

Five gene signatures are identified for protein kinase C (PKC) inhibitor signatures that strongly co-sort with PBZ (Table 4).  PKC is found in virtually all cells and tissues, with a large number of isoforms mediating a multitude of physiological and pathologic pathways.  A number of clinical trials are at various stages with the use of inhibitors of specific isoforms for the prevention of the progression of malignancies and also for treatment of vascular changes in diabetes [33, 34].  A recent extensive review covers the importance of PKC as a target for regulation in a number of vascular disorders [35].  Among the several investigational PKC inhibitors listed in Table 4, the drug enzastaurin has recently been shown to have efficacy in improving survival in the treatment of diffuse large B-cell lymphoma [36, 37].

4.5 Glycogen Synthase Kinase (GSK) Inhibitors

There are 5 members in this perturbagen class that have gene signature enrichment scores above 85 in connectivity with PBZ (Table 4).  The agent with the highest enrichment score relative to PBZ in this class, GSK-3-inhibitor-IX, is bromide substituted indirubin; indirubin assayed in 2 instances is the second and third highest matches with PBZ.  GSK-3-inhibitor-IX shows primary activities as a GSK, PKC and lipoxygenase inhibitor; the primary activities of indirubin are as a cyclin dependent kinase (CDK), GSK and PKC inhibitor. The protein targets for these inhibitors show additional overlap. CDK exists in a number of isoforms. CDK1 expression is elevated in a number of human cancers, such as Hodgkin’s lymphomas, cancer of the prostate, gastric lymphoma, lymphoblastic leukemia, gastric lymphoma and ovarian cancer.  Inhibition of CDK1 shows suppression of epithelial ovarian cancer growth and the effectiveness is enhanced by co-treatment with other anti-cancer agents, such as cisplatin [38]. There is an extensive literature on the anti-proliferative effects of indirubin and its derivatives; it is a natural product that has been used in traditional Chinese medicine [39].  One of its earliest clinical applications was in the promising treatment of chronic myelocytic leukemia [40]. There is continued research on its potential in other malignancies, psoriasis, pulmonary arterial hypertension, and restenosis [39].

4.6 Peroxisome Proliferator-Activated Receptor (PPAR) Agonists

Four gene expression signatures for PPAR agonists co-sorted strongly with gene expression for PBZ (Table 5).  PPAR agonists are an active area of research and clinical development because activators of these receptors result in an improvement of insulin sensitivity in the treatment of type 2 diabetes [41].  Two of the perturbagens that are identified with gene expression signatures similar to PBZ, bezafibrate and ciglitazone, have known clinical importance.  Bezafibrate has been studied in a number of clinical trials [42, 43]; it is considered to possibly be superior to other fibrates in that it has broad agonist activity on all PPAR isoforms, alpha, gamma and delta.  Selective PPAR gamma agonists, such as the thiazolidinediones that are used today in the treatment of Type 2 diabetes mellitus, have the adverse effect of causing water retention and weight gain, an effect that is not prominent with bezafibrate [42].

The second PPAR agonist of recognized clinical importance that matched with PBZ gene expression is ciglitazone.  Ciglitazone is the chemical prototype of all thiazolidinediones although it was not considered clinical efficacious enough to be marketed [44].  In addition to the lead that this drug provided to the development of clinically important drugs for the treatment of Type 2 diabetes, ciglitazone was found experimentally to have in-vitro and in-vivo anti-tumor activity in melanoma [45] and glioblastoma [46].  Research continues on the potential of thiazolidinediones for their anti-bacterial activity and anti-proliferative effects in neoplastic diseases [47].

4.7 Aromatase Inhibitors

Table 5 presents data for the connectivity scores of the gene expression signatures for PBZ with those for 3 aromatase inhibitors. All 3 agents are steroidal inhibitors of aromatase, which is CYP19A1. This enzyme is responsible for the conversion of androgens to estrogens, and inhibition results in a lowering of estrogens levels [22]. The first two agents, exemestane and formestane have proven clinical efficacy in the treatment of hormone-receptor positive (HR+) breast cancer. Formestane is no longer used clinically because it required injection, while exemestane is orally active.  These drugs bind irreversibly to aromatase resulting in a “suicidal” type inhibition [48]. Exemestane represents the 3rd generation class of aromatase inhibitors and has wide application. It is used for initial early-stage treatment of breast cancer in HR+ postmenopausal women and for more advanced and metastatic cancer. It is sometimes used in combination treatment with a CDK4/6 inhibitor. Third generation aromatase inhibitors are also used as breast cancer prevention therapy in post-menopausal women [22].

4.8 Janus Associated Kinase (JAK) Inhibitors

Three gene signatures for Janus associated kinase inhibitors were identified for similarity to PBZ signatures (Table 5).  Janus kinases are downstream signaling mediators for a number of cytokines that result in inflammatory processes associated with, for example, inflammatory bowel disease, rheumatoid arthritis, psoriasis, etc. They show significant promise for the treatment of inflammatory and immune pathologies [49]. The three JAK inhibitors in Table 5 that co-sorted with PBZ are experimental agents; they are chemically identified as follows:

Broad Institute I.D.  0071   JAK3-Inhibitor-II  4-[[6,7-bis(hydroxymethyl)-4-quinazolinyl] amino]-2-bromophenol.

Broad Institute I.D. 1103    JAK3-Inhibitor-I   4-[[6,7-bis(hydroxymethyl)-4-quinazolinyl]amino]phenol.

Broad Institute I.D.  6108    JAK3-Inhibitor-VI   5-(3-pyridinyl)-3-(1H-pyrrol-2-ylmethylidene)-1H-indol-2-one. 

A recent report summarizes the 2 approved drugs in this class, tofacitinib and decernotinib, and the extensive clinical testing currently in progress of 8 additional JAK inhibitors. They are being developed for the treatment of ulcerative colitis, Crohn’s disease, atopic dermatitis, alopecia areata, diffuse scleroderma, vitiligo, infectious uveitis, cutaneous lupus erythematosus and hemophagocytic syndrome [50].

4.9 DNA Synthesis Inhibitors

Three DNA synthesis inhibitors, floxuridine, mitomycin-C and fludarabine showed connectivity with PBZ with enrichment scores greater than 85 (Table 5).  All are currently clinically important drugs in the treatment of neoplastic diseases [51]. The fact that PBZ had connectivity with these drugs prompted inspection of the PCL sets that were identified when floxuridine was entered as the Index compound in the Touchstone database. Six of the 12 PCLs identified for PBZ (Table 2) were also identified for floxuridine; they were, in rank order of enrichment score: DNA synthesis inhibitor; Progesterone receptor agonist; PPAR receptor agonist; Cannabinoid receptor agonist; Glycogen synthase kinase inhibitor; and JAK inhibitor.  It would appear that there is the possibility of a number of similarities between the gene expression signatures of PBZ and DNA synthesis inhibitors that could account for the connectivity scores for these drug and common anti-proliferative effects that they may share.  As with so many cancer chemotherapeutic drugs, the DNA synthesis inhibitors have serious adverse effects.  It is important to note a finding that we have not previously reported.  In the effects of PBZ on human cancer cell growth assays that were conducted for us by the National Cancer Institute (NCI60), and reported in our previous study [1], PBZ showed no lethality in any of the cell cultures at their standard assay concentration of 10 µM.

4.10 Heat Shock Protein 90 Inhibitors

There are 7 gene signatures for Heat Shock Protein (HSP90) inhibitors that rank with that for PBZ (Table 5).  HSP90 inhibitors represent a current intense area of clinical investigation as adjunctive agents for the treatment of multiple cancers.  Radicicol, the highest scoring agent in relation to PBZ (Table 5), has been reported to induce apoptosis in malignant human epithelial ovarian cells [52] and a phase I study with alvespimycin in patients with acute myeloid leukemia gave preliminary evidence of efficacy [53]. There is also a more recent trial with alvespimycin for the treatment of relapsed chronic lymphocytic leukemia and small lymphocytic lymphoma [54].

Wang et al. has compiled a review of 15 published phase II clinical trials with HSP90 inhibitors [55]. They represent treatments in 10 different types of cancer where the majority of the patients had relapsed after prior treatment with other agents. One of the agents tested in refractory cases of gastrointestinal stromal cancer was BIIB021, the third agent with a gene expression signature similar to PBZ (Table 5).

4.11 Cannabinoid Receptor Agonists

Table 5 lists 2 experimental “selective” Type 2 (CB2) cannabinoid receptor agonists that showed strong gene expression connectivities with PBZ. The first compound, with a Broad Institute identification of BRD-K65285700, is N-(piperidin-1-yl)-1-(2,4-dichlorophenyl)-1,4-dihydro-6-methylindeno(1,2-c) pyrazole-3-carboxamide. There is interest in the development of drugs with selectivity for the CB2 receptor in an attempt to optimize the potential therapeutic effects of the cannabinoids in regard to pain alleviation, anti-inflammatory effects and anti-cancer effects and avoid the undesirable central nervous system psychoactive effects related to agonist activity on CB1 receptors [56]. However, the role of CB2 receptors in the brain in promoting anti-nociceptive and behavioral effects has advanced as well [57]. Research with the second agent, GW-405833, has progressed considerably with evidence for treatment of inflammatory and neuropathic pain [58]. Of interest, amelioration of neuropathic pain appears to also involve a non-competitive antagonism of CB1 receptors by GW-405833 [59]. In this connection, the fact that cannabinoids show gene expression signatures similar to PBZ is of interest in regard to the observations of apparent efficacy of PBZ in the treatment of neuropathic pain syndromes [15].

There is considerable interest in the potential for cannabinoids as anti-cancer drugs [60, 61].  These studies are essentially limited to in-vitro models and rodent experiments. Daris et al. have also reviewed the observation that some of the plant-derived cannabinoids have the potential for tumor proliferation at nanomolar concentrations in certain cell lines while showing a biphasic effect of tumor suppression at micromolar concentrations. This is an obvious consideration in terms of the choice of agent and the clinical context in its use. Endogenous, plant-derived and synthetic cannabinoids are also being evaluated for efficacy in several neuro-inflammatory and degenerative diseases.  There is both preclinical and clinical trial data available. Baul et al. [62] have focused primarily on research in Parkinson’s disease; Chiurchiu et al. [63] have reviewed hypotheses and studies of cannabinoids in relation to multiple sclerosis, Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and amyotrophic lateral sclerosis.

4.12 HIV Protease Inhibitors

PBZ showed significant gene expression connectivity with one HIV protease inhibitor, indinavir (Table 5).  As with other HIV protease inhibitors, indinavir has a peptide similar structure and is a competitive inhibitor of aspartyl protease.  It is currently in clinical use but is used less frequently today since it is not superior to other inhibitors of HIV protease and has more concerns related to renal toxicity [64]. In an attempt to gain some insight into possible reasons for the overlap between gene expression signatures for PBZ and indinavir, indinavir was queried as the index perturbagen in Touchstone. The PCL sets that were returned as important for indinavir relative to the entire database were not similar to any of those for PBZ (Table 2).  However, there were two PCL sets for indinavir, “Norepinephrine reuptake inhibitor,” and “Tricyclic antidepressant” that had high enrichment scores. Inhibition of norepinephrine reuptake in the central nervous system is believed to be involved in the therapeutic effects of the tricyclic antidepressants. This is of interest because PBZ is known to be a potent inhibitor of both neuronal and extra-neuronal uptake of norepinephrine [65].

4.13 Histone Deacetylase Inhibitors

The HDAC inhibitor with the highest connectivity score to PBZ was phenylbutyrate (Table 6).  Phenylbutyrate is designated as an orphan drug by the FDA with applications in the treatment of promyelocytic leukemia, primary or recurrent malignant glioma, amyotrophic lateral sclerosis, and spinal muscular atrophy. The first two indications are approved by a major United States medical insurance company; “Aetna considers sodium phenylbutyrate medically necessary for the treatment of acute promyelocytic leukemia and malignant glioma.”  (http://www.aetna.com/cpb/medical/data/200_299/0240.html) This link provides an extensive literature review of the research on other potential therapeutic indications for phenylbutyrate. The next 4 HDAC inhibitors listed in Table 6 have various stages of experimental investigation.  Rhamnetin has been investigated for its anti-inflammatory effects; at a concentration of 1 µM it caused significant inhibition of pro-inflammatory cytokines from macrophages [66].

N-hydroxy-7(2-naphthylthio) heptanomide (HNHA) was found to be more potent than trichostatin-A (TSA) and vorinostat (SAHA) in inhibition of proliferation of anaplastic and papillary human thyroid cell cultures; HNHA also increased histone acetylation in both of these cells types and reduced tumor volume in athymic nude mice and prolonged survival to a greater extent than either TSA or SAHA (although all three HDAC inhibitors showed efficacy in these regards) [67]. Martirosyan et al. found that NSC-3852, a quinoline compound, inhibited HDAC activity in-vitro, induced differentiation, and caused DNA damage and apoptosis in MCF-7 human breast cancer cells [68]. This same laboratory found that the cell differentiating effects and apoptosis were due to the generation of reactive oxygen species [69]. JNJ- 26854165 is also known by its proprietary name, Serdemetan.  It was extensively investigated preclinically for efficacy against a number of tumors and in a Phase I tolerability study; it did not proceed to a Phase II study [70]. However, preclinical studies have continued for efficacy in several lymphomas [71], and most recently specifically for Burkitt’s lymphoma associated with the Epstein-Barr virus [72].

Trichostatin-A (Table 6) is a classic example of an experimental HDAC inhibitor with broad activity against a number of HDAC enzymes; its summarized score of 85.70 was consistent with the threshold for inclusion that we set.  However, two FDA-approved HDAC inhibitors, belinostat, for treatment of peripheral T-cell lymphoma, and SAHA (Vorinostat), another classic HDAC inhibitor and approved for cutaneous T-cell lymphoma, had scores of 76.10 and 67.83, respectively [73, 74]. The overlap between the gene expression signatures of PBZ in the 9 malignant cell panel of the CLUE CMap platform and a number of HDAC inhibitors is of particular interest in relation to the original report from the earlier CMap platform that predicted HDAC inhibitory activity for PBZ [1]. Follow up assays demonstrated that PBZ had essentially comparable inhibitory potency to trichostatin-A on HDAC5  and 9  and greater inhibitory potency than SAHA on both HDAC5 and 9. The selectivity of PBZ for inhibition of these HDACs is of interest in relation to the fact that the high expression of HDAC5 and 9 in pediatric medulloblastoma tumors was found to be prognostic for poor survival [75]. These tumors are the most common pediatric brain tumors.  HDAC5 has also been shown to be a strong promotor of tumor migration and invasion in hepatocellular carcinoma [76] and breast cancer [77]. And, particular elevation of HDAC9 has been reported in cervical cancer, childhood acute lymphoblastic leukemia, Philadelphia-negative chronic myeloproliferative neoplasms and Waldenstrom’s macroglobulinemia [78], all raising the possibility for therapeutic trials of PBZ with its minimal side effect profile [14, 15].

4.14 Evidence of Anti-proliferative Activity of PBZ from Other Studies

Studies of PBZ anti-proliferative activity by other investigators, which were discussed in detail in an earlier publication [1], can be summarized as follows:

-- From screening of 1290 small molecules in human neuroblastoma cell lines, PBZ was one of four compounds that showed dose-dependent inhibition of growth, invasion and migration [79].

-- Cobret et al. found that PBZ showed the most specific and highest extent of complex formation with LINGO-1 from a screen of 1263 small molecules [80]. This ligand appeared to promote the capacity of LINGO-1 to inhibit signaling through EGFR activation in neuronal elements, which may have relevance to a possible role in the inhibition of aggressive cancers. 

-- In connection with the study by Cobret et al. [80], Lin et al. [81] showed that PBZ inhibited the growth, invasion and migration in U251 and U87MG glioma cell cultures and decreased tumor volume expansion in-vivo in mice with implanted U87MG cells that received direct injection of 20 nM PBZ into the tumors. These effects were accompanied by a marked increase in LINGO-1 expression following treatment with PBZ, which may have a relationship with the above observations.

-- Lee et al. [82] found that PBZ was able to substantially decrease the vascular proliferative activity that results in development of the pulmonary arterial hypertension associated with injection of monocrotaline, a pulmonary toxin.  Compared with controls, medial thickening was decreased by 80% after 4 weeks of daily PBZ treatment that followed the monocrotaline challenge.  Also, Kim et al. [83] found that specific HDACIIa inhibition significantly reversed established pulmonary arterial hypertension produced by both monocrotaline or hypoxic interventions.

Two recent studies have further advanced the knowledge of the anti-proliferative potential of PBZ.  Zador et al. carried out a drug repurposing investigation utilizing Broad Institute CMap in search of therapeutic candidates for the treatment of atypical meningiomas 84.  Compared with benign meningiomas, atypical tumors are characterized by a high risk of recurrence after surgery and radiation and a poor prognosis.  Their analysis identified 3 drugs, verteporfin, emetine and PBZ, with the highest gene expression enrichment scores suggestive of opposition (potentially inhibitory/therapeutic) to progression of atypical meningiomas.  PBZ was only 5% less strongly inhibitory than verteporfin; emetine placed second among the three [84]. Potential therapeutic applications for PBZ were also identified in an extraordinary recent drug repurposing study by Lin et al. that screened 640 FDA-approved drugs for their efficacies and potencies as macropinocytosis inhibitors [85].

Macropinocytosis is distinct from receptor-mediated endocytosis and phagocytosis in that it is not mediated physically by interaction with the plasma membrane. And, as the term implies, it represents a much larger volume of engulfing of plasma content than either receptor-mediated endocytosis and phagocytosis; it has been described as a cell “drinking” process. Macropinocytosis has been implicated in a number of pathological syndromes. For example, cells involved in malignant proliferation engulf proteins en masse by macropinocytosis to support metabolic growth demands [86]. Also, macropinocytosis has been implicated in the uptake of amyloid precursor protein in the development and progression of Alzheimer’s disease [87].  In their drug screen of potential therapeutic inhibitors of macropinocytosis, Lin et al. limited their final candidates to drugs that did not interfere with physiologically important processes of receptor-initiated endocytosis or phagocytosis or toxicity considerations. This led finally to two candidates, the tricyclic antidepressant imipramine and PBZ [85].  Although PBZ had a somewhat greater potency than imipramine in inhibiting the phorbol ester stimulation of dextran uptake by RAW 264.7 macrophages (IC50 = 43.8 nM and 130.9 nm, respectively), both agents would appear to be important for further development as inhibitors of pathological processes facilitated by micropinocytosis.

5. Conclusion

The present study is an extension of a previous report that suggested that the gene expression signatures that PBZ produced in two malignant cell lines were consistent with the possibility that it would have HDAC inhibitory activity.  Investigation of PBZ in the greatly expanded Broad Institute CLUE platform revealed a number of previously unrecognized similarities between PBZ gene expression signatures and those of agents that would be consistent with potential antineoplastic, anti-inflammatory and immunomodulatory activity for PBZ. CMap was designed as a hypothesis-generating platform to help to identify possible relationships amongst gene-expression signatures in diseases and those produced by therapeutic interventions; however, the significance of such relationships must be confirmed by further biological experimentation.  The fact that PBZ is an FDA-approved drug with a long clinical use that demonstrates its minimal adverse effect profile should facilitate further investigations into the possible therapeutic potential of the drug.

Acknowledgement

The author is grateful to Ms. Jennifer Brown, Department of Pharmacology, New York Medical College, for editorial assistance in the preparation of the manuscript.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflicting Interests

The author declares no conflicts of interest.  The author has filed two provisional United States patent applications but no commercial development is planned for any of the observations.  The applications were filed to help preclude any commercial development that might limit the free availability of the drug.

References

  1. Inchiosa MA, Jr. Anti-tumor activity of phenoxybenzamine and its inhibition of histone deacetylases. PLoS One 13 (2018): e0198514.
  2. Subramanian A, Tamayo P, Mootha VK, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci USA 102 (2005): 15545-15550.
  3. Lamb J, Crawford ED, Peck D, et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science 313 (2006): 1929-1935.
  4. Lehmann AR. DNA repair-deficient diseases, xeroderma pigmentosum, Cockayne syndrome and trichothiodystrophy. Biochimie 85 (2003): 1101-1111.
  5. Nakashima H, Kaufmann JK, Wang PY, et al. Histone deacetylase 6 inhibition enhances oncolytic viral replication in glioma. J Clin Invest 125 (2015): 4269-4280.
  6. Cody JJ, Markert JM, Hurst DR. Histone deacetylase inhibitors improve the replication of oncolytic herpes simplex virus in breast cancer cells. PLoS One 9 (2014): e92919.
  7. Liu TC, Castelo-Branco P, Rabkin SD, Martuza RL. Trichostatin A and oncolytic HSV combination therapy shows enhanced antitumoral and antiangiogenic effects Mol Ther 16 (2008): 1041-1047.
  8. Johnson JL, Koetsier JL, Sirico A, et al. The desmosomal protein desmoglein 1 aids recovery of epidermal differentiation after acute UV light exposure. J Invest Dermatol 134 (2014): 2154-2162.
  9. Mariadason JM. HDACs and HDAC inhibitors in colon cancer. Epigenetics 3 (2008): 28-37.
  10. Subramanian A, Narayan R, Corsello SM, et al. A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles. Cell 171 (2017): 1437-1452.
  11. Rajkumar SV, Fonseca R, Witzig TE. Complete resolution of reflex sympathetic dystrophy with thalidomide treatment. Arch. Intern. Med 161 (2001): 2502-2503.
  12. Schwartzman RJ, Chevlen E, Bengtson K. Thalidomide has activity in treating complex regional pain syndrome. Arch. Intern. Med 163 (2003): 1487-1488.
  13. Malik VK, Inchiosa MA, Jr., Mustafa K, Sanapati MR, Pimentel MC, Jr., Frost EA. Intravenous regional phenoxybenzamine in the treatment of reflex sympathetic dystrophy. Anesthesiology 88 (1998): 823-827.
  14. Inchiosa MA, Jr., Kizelshteyn G. Treatment of complex regional pain syndrome type I with oral phenoxybenzamine: rationale and case reports. Pain Pract 8 (2008): 125-132.
  15. Inchiosa MA, Jr. Phenoxybenzamine in complex regional pain syndrome: potential role and novel mechanisms. Anesthesiol. Res. Pract (2013): 978615.
  16. Takano T, Lin JH, Arcuino G, Gao Q, Yang J, Nedergaard M. Glutamate release promotes growth of malignant gliomas. Nat Med 7 (2001): 1010-1015.
  17. Cacciatore I, Fornasari E, Marinelli L, et al. Memantine-derived drugs as potential antitumor agents for the treatment of glioblastoma. Eur J Pharm Sci. Nov 15 2017;109:402-411.
  18. Nickerson M, Gump WS. The chemical basis for adrenergic blocking activity in compounds related to dibenamine. J Pharmacol Exp Ther Sep 97 (1949): 25-47.
  19. Te AE. A modern rationale for the use of phenoxybenzamine in urinary tract disorders and other conditions. Clin. Ther 24 (2002): 851-861.
  20. Lin KT, Wang LH. New dimension of glucocorticoids in cancer treatment. Steroids 111 (2016): 84-88.
  21. Chang M, Smith S, Thorpe A, Barratt MJ, Karim F. Evaluation of phenoxybenzamine in the CFA model of pain following gene expression studies and connectivity mapping. Mol. Pain 6 (2010): 56.
  22. Isaacs C, Wellstein A, Riegel AT. Hormones and Related Agents in the Therapy of Cancer. In: Brunton LL, ed. Goodman & Gilman's The Pharmacological Basis of Therapeutics. New York: McGraw Hill (2018): 1237-1247.
  23. Greenstein S, Ghias K, Krett NL, Rosen ST. Mechanisms of glucocorticoid-mediated apoptosis in hematological malignancies. Clinical cancer research : an official journal of the American Association for Cancer Research 8 (2002): 1681-1694.
  24. American Hospital Formulary Service Drug Information. American Society of Health-Systems Pharmacists; 2019. https://www.ahfsdruginformation.com (2019).
  25. De Bosscher K, Haegeman G, Elewaut D. Targeting inflammation using selective glucocorticoid receptor modulators. Curr Opin Pharmacol 10 (2010): 497-504.
  26. Schacke H, Rehwinkel H. Dissociated glucocorticoid receptor ligands. Curr Opin Investig Drugs. 5 (2004): 524-528.
  27. Schacke H, Berger M, Rehwinkel H, Asadullah K. Selective glucocorticoid receptor agonists (SEGRAs): novel ligands with an improved therapeutic index. Mol Cell Endocrinol 15 (2007): 109-117.
  28. Keenan CR, Lew MJ, Stewart AG. Biased signalling from the glucocorticoid receptor: Renewed opportunity for tailoring glucocorticoid activity. Biochem Pharmacol 15 (2016): 6-12.
  29. Kleiman A, Tuckermann JP. Glucocorticoid receptor action in beneficial and side effects of steroid therapy: lessons from conditional knockout mice. Mol Cell Endocrinol 15 (2007): 98-108.
  30. Kim JJ, Kurita T, Bulun SE. Progesterone action in endometrial cancer, endometriosis, uterine fibroids, and breast cancer. Endocr Rev 34 (2013): 130-162.
  31. Yewale C, Baradia D, Vhora I, Patil S, Misra A. Epidermal growth factor receptor targeting in cancer: a review of trends and strategies. Biomaterials 34 (2013): 8690-8707.
  32. Wellstein A, Giaccone G, Atkins MB, Sausville EA. Pathway-Targeted Therapies: Monoclonal Antibodies, Protein Kinase Inhibitors, and Various Small Molecules. In: Brunton LL, ed. Goodman & Gilman's The Pharmacological Basis of Therapeutics. New York: McGraw Hill (2018): 1207-1236.
  33. Shen GX. Selective protein kinase C inhibitors and their applications. Curr Drug Targets Cardiovasc Haematol Disord 3 (2003): 301-307.
  34. Shen GX, Way KJ, Jacobs JR, King GL. Applications of inhibitors for protein kinase C and their isoforms. Methods Mol Biol 233 (2003): 397-422.
  35. Ringvold HC, Khalil RA. Protein Kinase C as Regulator of Vascular Smooth Muscle Function and Potential Target in Vascular Disorders. Adv Pharmacol 78 (2017): 203-301.
  36. Luo W, Sun H, Zhu J, Smith SD, Han I, Shazer R. Improved Survival with Enzastaurin Treatment in Diffuse Large B-Cell Lymphoma Patients with the Novel Genetic Biomarker, DGM1. Blood 132 (2018): 4207-4207.
  37. He Y, Li J, Ding N, et al. Combination of Enzastaurin and Ibrutinib synergistically induces anti-tumor effects in diffuse large B cell lymphoma. J Exp Clin Cancer Res 18 (2019): 86.
  38. Yang W, Cho H, Shin HY, et al. Accumulation of cytoplasmic Cdk1 is associated with cancer growth and survival rate in epithelial ovarian cancer. Oncotarget 7 (2016): 49481-49497.
  39. Blazevic T, Heiss EH, Atanasov AG, Breuss JM, Dirsch VM, Uhrin P. Indirubin and Indirubin Derivatives for Counteracting Proliferative Diseases. Evid Based Complement Alternat Med (2015): 654098.
  40. Zhang ZN, Liu EK, Zheng TL, Li DG. Treatment of chronic myelocytic leukemia (CML) by traditional Chinese medicine and Western medicine alternately. J Tradit Chin Med 5 (1985): 246-248.
  41. Janani C, Ranjitha Kumari BD. PPAR gamma gene--a review. Diabetes Metab Syndr 9 (2015): 46-50.
  42. Tenenbaum A, Fisman EZ. Balanced pan-PPAR activator bezafibrate in combination with statin: comprehensive lipids control and diabetes prevention? Cardiovasc Diabetol 11 (2012): 140.
  43. Arbel Y, Klempfner R, Erez A, et al. Bezafibrate for the treatment of dyslipidemia in patients with coronary artery disease: 20-year mortality follow-up of the BIP randomized control trial. Cardiovasc Diabetol 15 (2016): 11.
  44. Frohlich E, Wahl R. Chemotherapy and chemoprevention by thiazolidinediones. Biomed Res Int (2015): 845340.
  45. Botton T, Puissant A, Bahadoran P, et al. In vitro and in vivo anti-melanoma effects of ciglitazone. J Invest Dermatol 129 (2009): 1208-1218.
  46. Strakova N, Ehrmann J, Dzubak P, Bouchal J, Kolar Z. The synthetic ligand of peroxisome proliferator-activated receptor-gamma ciglitazone affects human glioblastoma cell lines. J Pharmacol Exp Ther 309 (2004): 1239-1247.
  47. Trotsko N, Przekora A, Zalewska J, Ginalska G, Paneth A, Wujec M. Synthesis and in vitro antiproliferative and antibacterial activity of new thiazolidine-2,4-dione derivatives. J Enzyme Inhib Med Chem 33 (2018): 17-24.
  48. Gao L, Bao Z, Deng H, et al. The beneficial androgenic action of steroidal aromatase inactivators in estrogen-dependent breast cancer after failure of nonsteroidal drugs. Cell Death Dis 10 (2019): 494.
  49. Schwartz DM, Kanno Y, Villarino A, Ward M, Gadina M, O'Shea JJ. JAK inhibition as a therapeutic strategy for immune and inflammatory diseases. Nat Rev Drug Discov 17 (2017): 78.
  50. Fragoulis GE, McInnes IB, Siebert S. JAK-inhibitors. New players in the field of immune-mediated diseases, beyond rheumatoid arthritis. Rheumatology (Oxford) 58 (2019): i43-i54.
  51. Wellstein A, Giaccone G, Atkins MB, Sausville EA. Cytotoxic Drugs. In: Brunton LL, ed. Goodman & Gilman's The Pharmacological Basis of Therapeutics. New York: McGraw Hill (2018): 1167-1201.
  52. Kim YJ, Lee SA, Myung SC, Kim W, Lee CS. Radicicol, an inhibitor of Hsp90, enhances TRAIL-induced apoptosis in human epithelial ovarian carcinoma cells by promoting activation of apoptosis-related proteins. Mol Cell Biochem 359 (2012): 33-43.
  53. Lancet JE, Gojo I, Burton M, et al. Phase I study of the heat shock protein 90 inhibitor alvespimycin (KOS-1022, 17-DMAG) administered intravenously twice weekly to patients with acute myeloid leukemia. Leukemia 24 (2010): 699-705.
  54. Maddocks K, Hertlein E, Chen TL, et al. A phase I trial of the intravenous Hsp90 inhibitor alvespimycin (17-DMAG) in patients with relapsed chronic lymphocytic leukemia/small lymphocytic lymphoma. Leuk Lymphoma 57 (2016): 2212-2215.
  55. Wang H, Lu M, Yao M, Zhu W. Effects of treatment with an Hsp90 inhibitor in tumors based on 15 phase II clinical trials. Mol Clin Oncol 5 (2016): 326-334.
  56. Han S, Thatte J, Buzard DJ, Jones RM. Therapeutic utility of cannabinoid receptor type 2 (CB(2)) selective agonists. J Med Chem 56 (2013): 8224-8256.
  57. Jordan CJ, Xi ZX. Progress in brain cannabinoid CB2 receptor research: From genes to behavior. Neurosci Biobehav Rev 98 (2019): 208-220.
  58. Valenzano KJ, Tafesse L, Lee G, et al. Pharmacological and pharmacokinetic characterization of the cannabinoid receptor 2 agonist, GW405833, utilizing rodent models of acute and chronic pain, anxiety, ataxia and catalepsy. Neuropharmacology 48 (2005): 658-672.
  59. Li AL, Carey LM, Mackie K, Hohmann AG. Cannabinoid CB2 Agonist GW405833 Suppresses Inflammatory and Neuropathic Pain through a CB1 Mechanism that is Independent of CB2 Receptors in Mice. J Pharmacol Exp Ther 362 (2017): 296-305.
  60. Ramer R, Hinz B. Cannabinoids as Anticancer Drugs. Adv Pharmacol 80 (2017): 397-436.
  61. Daris B, Tancer Verboten M, Knez Z, Ferk P. Cannabinoids in cancer treatment: Therapeutic potential and legislation. Bosn J Basic Med Sci 19 (2019): 14-23.
  62. Baul HS, Manikandan C, Sen D. Cannabinoid receptor as a potential therapeutic target for Parkinson's Disease. Brain Res Bull 146 (2019): 244-252.
  63. Chiurchiu V, van der Stelt M, Centonze D, Maccarrone M. The endocannabinoid system and its therapeutic exploitation in multiple sclerosis: Clues for other neuroinflammatory diseases. Prog Neurobiol 160 (2018): 82-100.
  64. Flexner CW. Antiretroviral Agents and Treatment of HIV Infection. In: Brunton LL, ed. Goodman & Gilman's The Pharmacological Basis of Therapeutics. New York: McGraw Hill (2018): 1137-1157.
  65. Bowman WC, Rand MJ. Textbook of Pharmacology. 2nd ed. London: Blackwell Scientific Publications (1980).
  66. Jnawali HN, Lee E, Jeong KW, Shin A, Heo YS, Kim Y. Anti-inflammatory activity of rhamnetin and a model of its binding to c-Jun NH2-terminal kinase 1 and p38 MAPK. J Nat Prod 77 (2014): 258-263.
  67. Kim SM, Park KC, Jeon JY, et al. Potential anti-cancer effect of N-hydroxy-7-(2-naphthylthio) heptanomide (HNHA), a novel histone deacetylase inhibitor, for the treatment of thyroid cancer. BMC Cancer 15 (2015): 1003.
  68. Martirosyan AR, Rahim-Bata R, Freeman AB, Clarke CD, Howard RL, Strobl JS. Differentiation-inducing quinolines as experimental breast cancer agents in the MCF-7 human breast cancer cell model. Biochem Pharmacol 68 (2004): 1729-1738.
  69. Martirosyan A, Leonard S, Shi X, Griffith B, Gannett P, Strobl J. Actions of a histone deacetylase inhibitor NSC3852 (5-nitroso-8-quinolinol) link reactive oxygen species to cell differentiation and apoptosis in MCF-7 human mammary tumor cells. J Pharmacol Exp Ther 317 (2006): 546-552.
  70. Smith MA, Gorlick R, Kolb EA, et al. Initial testing of JNJ-26854165 (Serdemetan) by the pediatric preclinical testing program. Pediatr Blood Cancer 59 (2012): 329-332.
  71. Pujals A, Favre L, Gaulard P, Wiels J. Acitvation of wild-type p53 by MDM2 inhibitors: a new strategy for lymphoma treatment. Blood and Lymphatic Cancer: Targets and Therapy 5 (2015): 93-100.
  72. AlQarni S, Al-Sheikh Y, Campbell D, et al. Lymphomas driven by Epstein-Barr virus nuclear antigen-1 (EBNA1) are dependant upon Mdm2. Oncogene 37 (2018): 3998-4012.
  73. Campbell P, Thomas CM. Belinostat for the treatment of relapsed or refractory peripheral T-cell lymphoma. J Oncol Pharm Pract 23 (2017): 143-147.
  74. Bubna AK. Vorinostat-An Overview. Indian J Dermatol 60 (2015): 419.
  75. Milde T, Oehme I, Korshunov A, et al. HDAC5 and HDAC9 in medulloblastoma: novel markers for risk stratification and role in tumor cell growth. Clin. Cancer Res 16 (2010): 3240-3252.
  76. Ye M, Fang Z, Gu H, et al. Histone deacetylase 5 promotes the migration and invasion of hepatocellular carcinoma via increasing the transcription of hypoxia-inducible factor-1alpha under hypoxia condition. Tumour Biol 39 (2017): 1010428317705034.
  77. Li A, Liu Z, Li M, et al. HDAC5, a potential therapeutic target and prognostic biomarker, promotes proliferation, invasion and migration in human breast cancer. Oncotarget 7 (2016): 37966-37978.
  78. Barneda-Zahonero B, Parra M. Histone deacetylases and cancer. Mol Oncol 6 (2012): 579-589.
  79. Wang L, Zhao H, Cui K, et al. Identification of novel small-molecule inhibitors of glioblastoma cell growth and invasion by high-throughput screening. Biosci. Trends 6 (2012): 192-200.
  80. Cobret L, De Tauzia ML, Ferent J, et al. Targeting the cis-dimerization of LINGO-1 with low MW compounds affects its downstream signalling. Br. J Pharmacol 172 (2015): 841-856.
  81. Lin XB, Jiang L, Ding MH, et al. Anti-tumor activity of phenoxybenzamine hydrochloride on malignant glioma cells. Tumour. Biol 37 (2016): 2901-2908.
  82. Lee SK. Effects of Phenoxybenzamine and Propranolol on Monocrotaline Induced Pulmonary Vascular Lesion and Right Ventricular Hypertrophy. Korean J Thorac Cardiovasc Surg 19 (1986): 1-11.
  83. Kim J, Hwangbo C, Hu X, et al. Restoration of impaired endothelial myocyte enhancer factor 2 function rescues pulmonary arterial hypertension. Circulation 131 (2015): 190-199.
  84. Zador Z, King AT, Geifman N. New drug candidates for treatment of atypical meningiomas: An integrated approach using gene expression signatures for drug repurposing. PLoS One 13 (2018): e0194701.
  85. Lin HP, Singla B, Ghoshal P, et al. Identification of novel macropinocytosis inhibitors using a rational screen of Food and Drug Administration-approved drugs. Br J Pharmacol 175 (2018): 3640-3655.
  86. Commisso C, Davidson SM, Soydaner-Azeloglu RG, et al. Macropinocytosis of protein is an amino acid supply route in Ras-transformed cells. Nature 497 (2013): 633-637.
  87. Tang W, Tam JH, Seah C, et al. Arf6 controls beta-amyloid production by regulating macropinocytosis of the Amyloid Precursor Protein to lysosomes. Mol Brain 8 (2015): 41.

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