| Literature DB >> 26061748 |
Claudia C Faria1,2,3,4, Sameer Agnihotri2, Stephen C Mack5, Brian J Golbourn2, Roberto J Diaz1,2, Samantha Olsen2, Melissa Bryant2, Matthew Bebenek2, Xin Wang5, Kelsey C Bertrand2, Michelle Kushida5, Renee Head5, Ian Clark5, Peter Dirks1,5, Christian A Smith2, Michael D Taylor1,5, James T Rutka1,2.
Abstract
Advances in the molecular biology of medulloblastoma revealed four genetically and clinically distinct subgroups. Group 3 medulloblastomas are characterized by frequent amplifications of the oncogene MYC, a high incidence of metastasis, and poor prognosis despite aggressive therapy. We investigated several potential small molecule inhibitors to target Group 3 medulloblastomas based on gene expression data using an in silico drug screen. The Connectivity Map (C-MAP) analysis identified piperlongumine as the top candidate drug for non-WNT medulloblastomas and the cyclin-dependent kinase (CDK) inhibitor alsterpaullone as the compound predicted to have specific antitumor activity against Group 3 medulloblastomas. To validate our findings we used these inhibitors against established Group 3 medulloblastoma cell lines. The C-MAP predicted drugs reduced cell proliferation in vitro and increased survival in Group 3 medulloblastoma xenografts. Alsterpaullone had the highest efficacy in Group 3 medulloblastoma cells. Genomic profiling of Group 3 medulloblastoma cells treated with alsterpaullone confirmed inhibition of cell cycle-related genes, and down-regulation of MYC. Our results demonstrate the preclinical efficacy of using a targeted therapy approach for Group 3 medulloblastomas. Specifically, we provide rationale for advancing alsterpaullone as a targeted therapy in Group 3 medulloblastoma.Entities:
Keywords: alsterpaullone; connectivity map; group 3 medulloblastoma; piperlongumine
Mesh:
Substances:
Year: 2015 PMID: 26061748 PMCID: PMC4673298 DOI: 10.18632/oncotarget.4304
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Top 20 drugs with predicted efficacy by the Connectivity Map analysis (p<0.05), for each medulloblastoma subgroup
| WNT | ||
|---|---|---|
| Rank | C-MAP Name | Enrichment |
| 9 | monobenzone | −0.855 |
| 24 | chrysin | −0.841 |
| 5 | hexamethoniumbromide | −0.806 |
| 13 | simvastatin | −0.805 |
| 14 | pimozide | −0.805 |
| 8 | astemizole | −0.796 |
| 10 | antimycin A | −0.787 |
| 43 | reserpine | −0.786 |
| 46 | etacrynic acid | −0.783 |
| 19 | methylprednisolone | −0.774 |
| 20 | chlorphenesin | −0.772 |
| 11 | pyrimethamine | −0.763 |
| 12 | halcinonide | −0.746 |
| 25 | aminophylline | −0.745 |
| 61 | esculetin | −0.745 |
| 26 | 3-nitropropionicacid | −0.743 |
| 29 | etoposide | −0.724 |
| 3 | methotrexate | −0.723 |
| 30 | semustine | −0.722 |
| 31 | parthenolide | −0.720 |
| 33 | lomustine | −0.708 |
Top 15 drugs specific for Group 3 medulloblastomas, as predicted by the Connectivity Map analysis (p < 0.05)
| Rank | C-MAP name | Enrichment | Drug category |
|---|---|---|---|
| 96 | alsterpaullone | −0.765 | CDK inhibitor |
| 130 | rottlerin | −0.725 | PKC inhibitor |
| 69 | denatonium benzoate | −0.701 | calcium channel inhibitor |
| 104 | flunarizine | −0.664 | calcium channel inhibitor |
| 107 | bupropion | −0.661 | dopamine receptor antagonist |
| 117 | pyridoxine | −0.651 | pyridoxal kinase agonist |
| 31 | flunisolide | −0.644 | phospholipase A2 inhibitor |
| 125 | etamsylate | −0.643 | prostaglandin inhibitor |
| 135 | prenylamine | −0.635 | calcium channel inhibitor |
| 139 | practolol | −0.631 | beta-adrenergic antagonist |
| 140 | betaxolol | −0.629 | beta-adrenergic antagonist |
| 144 | propylthiouracil | −0.626 | thyroid peroxidase inhibitor |
| 136 | lorglumide | −0.57 | colecystokinin antagonist |
| 138 | amiodarone | −0.569 | calcium channel inhibitor |
| 113 | PNU-0251126 | −0.549 | not assessed |
NOTE: The compounds were ranked based on negative enrichment score.
CDK, cyclin-dependent kinase; PKC, protein kinase C
Figure 1Cytotoxic effect of piperlongumine, alsterpaullone, rottlerin and flunarizine in Group 3 medulloblastoma cell lines
Established medulloblastoma cell lines (D425 and D458) and a fetal neural stem cell line (hf5281) were treated with various concentrations of a. piperlongumine, b. alsterpaullone, c. rottlerin and d. flunarizine for 48 hours. Cell viability was measured by MTS assay. Data represent mean of triplicates ± SEM.
Figure 2Piperlongumine (PL), alsterpaullone (ALP) and rottlerin (RTL) reduce tumor growth and increase survival in medulloblastoma xenografts
a. Representative bioluminescence imaging of D458 cerebellar xenografts treated with vehicle control (10% DMSO, n = 14), PL (50 mg/kg, s.c., daily for 2 weeks; n = 10), ALP (30 mg/kg, s.c., daily for 2 weeks; n = 14) and RTL (20 mg/kg, s.c., every other day for 2 weeks; n = 11). b. Connectivity Map predicted drugs reduce medulloblastoma growth as denoted by a smaller change in total photon flux. Data represent group means ± SEM. c.–e. Kaplan-Meier survival curves demonstrate that mice harboring orthotopic D458 medulloblastoma xenografts have an increased survival after treatment with PL (p = 0.0011), ALP (p = 0.0043) and RTL (p = 0.0262). Survival differences were calculated using a log-rank test.
Figure 3Piperlongumine and alsterpaullone increase survival of D425 medulloblastoma xenografts
Kaplan-Meier estimate displays survival of nude mice with D425 cerebellar xenografts treated with a. piperlongumine (PL) or b. alsterpaullone (ALP). Survival differences were calculated using a log-rank test. c. Representative H&E staining demonstrates reduction in medulloblastoma growth after treatment with PL and ALP, when compared to the control group. Scale bar: 500 μm. Piperlongumine and alsterpaullone induce apoptosis and inhibit AKT pathway activation. Representative Western blots demonstrating d. and e. induction of apoptosis and f. and g. AKT pathway inhibition after piperlongumine (PL) and alsterpaullone (ALP) treatment for 48h in D458 and D425 medulloblastoma cells.
Figure 4mRNA profiling of Group 3 medulloblastoma cell lines treated with alsterpaullone demonstrates down-regulation of cell cycle related genes, including the MYC oncogene
a. Heatmap illustrating the genes up and down-regulated following treatment with alsterpaullone (ALP) in two Group 3 medulloblastoma cell lines. MYC and other genes involved in cell cycle are down-regulated by ALP. b. Table of the top 10 gene sets up-regulated or down-regulated by ALP. c. Enrichment plots showing down-regulation of cell cycle related gene sets.