CHAPTER 11. Discovery of AMG 232, a Small Molecule MDM2 Inhibitor in Clinical Development and its Back-up Clinical Candidate, AM-7209

Author(s):  
Yosup Rew ◽  
John Eksterowicz
2013 ◽  
Vol 4 (5) ◽  
pp. 466-469 ◽  
Author(s):  
Binh Vu ◽  
Peter Wovkulich ◽  
Giacomo Pizzolato ◽  
Allen Lovey ◽  
Qingjie Ding ◽  
...  

2011 ◽  
Vol 42 (01) ◽  
Author(s):  
P. Monfared ◽  
T. Viel ◽  
G. Schneider ◽  
Y. Waerzeggers ◽  
S. Rapic ◽  
...  

2017 ◽  
Author(s):  
Neel S. Madhukar ◽  
Prashant K. Khade ◽  
Linda Huang ◽  
Kaitlyn Gayvert ◽  
Giuseppe Galletti ◽  
...  

AbstractDrug target identification is one of the most important aspects of pre-clinical development yet it is also among the most complex, labor-intensive, and costly. This represents a major issue, as lack of proper target identification can be detrimental in determining the clinical application of a bioactive small molecule. To improve target identification, we developed BANDIT, a novel paradigm that integrates multiple data types within a Bayesian machine-learning framework to predict the targets and mechanisms for small molecules with unprecedented accuracy and versatility. Using only public data BANDIT achieved an accuracy of approximately 90% over 2000 different small molecules – substantially better than any other published target identification platform. We applied BANDIT to a library of small molecules with no known targets and generated ∼4,000 novel molecule-target predictions. From this set we identified and experimentally validated a set of novel microtubule inhibitors, including three with activity on cancer cells resistant to clinically used anti-microtubule therapies. We next applied BANDIT to ONC201 – an active anti- cancer small molecule in clinical development – whose target has remained elusive since its discovery in 2009. BANDIT identified dopamine receptor 2 as the unexpected target of ONC201, a prediction that we experimentally validated. Not only does this open the door for clinical trials focused on target-based selection of patient populations, but it also represents a novel way to target GPCRs in cancer. Additionally, BANDIT identified previously undocumented connections between approved drugs with disparate indications, shedding light onto previously unexplained clinical observations and suggesting new uses of marketed drugs. Overall, BANDIT represents an efficient and highly accurate platform that can be used as a resource to accelerate drug discovery and direct the clinical application of small molecule therapeutics with improved precision.


2016 ◽  
Vol 68 (9) ◽  
pp. 1143-1159 ◽  
Author(s):  
Mariana F. da Mota ◽  
Alane P. Cortez ◽  
Polyana L. Benfica ◽  
Bruna dos S. Rodrigues ◽  
Thalyta F. Castro ◽  
...  

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2596-2596
Author(s):  
Ismael Samudio ◽  
Martin Dietrich ◽  
Paul Corn ◽  
Dajun Yang ◽  
Gautam Borthakur

Abstract Although TP53 mutations are rare in acute myeloid leukemia (AML), inactivation of wild-type p53 protein frequently occurs through overexpression of its negative regulator MDM2 (murine double minute 2). We investigated the effects of MI-63, a small molecule that activates p53 by inhibition of MDM2-p53 interaction [ Ki value of 3 nM (J Med Chem.2006;49(12):3432–5)] in AML cell lines. Treatment with MI-63 triggered apoptosis (evidenced by loss of membrane potential and externalization of phosphatidylserine) in AML cell lines with wild-type p53 (OCI-AML-3 and MOLM13) in a time and concentration-dependent manner (IC50 at 72 hrs.= 2.5 μM for OCI-AML-3 and 1 μM for MOLM-13), while a p53-null AML cell line (HL-60) was resistant (IC50 not reached at 10 μM). Moreover, knockdown of p53 in OCI-AML3 cells rendered this cell line resistant to MI-63 induced apoptosis while control vector infected OCI-AML-3 cells remained as sensitive to MI-63 similar to the parental cells. Mechanistic studies showed that MI-63 blocks G1/S phase transition in AML cells with wild-type p53 resulting in accumulation of cells in G1 phase (percentage cells inG1 phase at 24 hrs. = 88.66% vs 43.49% in cultures with DMSO control) while MI-61, a skeletally related but inactive control compound failed to do so (41.63%). Treatment with MI-63 increased cellular levels of p53 and p53 dependent proteins in OCI-AML-3 cells that include p21 and BH3-only pro-apoptotic protein Puma and pro-apoptotic multi-domain Bcl-2 family member Bax. Additionally, MI-63 induced a profound decrease in the levels of MDM4, an MDM2 homolog that has been reported to mediate resistance to the effects of nutlin-3a, suggesting that MI-63 may offer a therapeutic advantage in cells expressing high levels of MDM4. Finally, supporting the concept that increased levels of p53 modulate the apoptotic rheostat both directly, by behaving as a BH3-only protein, and indirectly by increasing the levels of sensitizer BH3-only proteins, MI-63 potently synergized with AT-101, an orally available pan inhibitor of Bcl-2, Bcl-xL and Mcl-1 (currently being evaluated as an antitumor agent in Phase I/II trials by Ascenta Therapeutics), to induce mitochondrial dysfunction and apoptosis in OCI-AML-3 cells (average combination index = 0.055±0.019). Taken together our results support preclinical evaluation of novel small molecule MI-63 alone and in combination with Bcl-2 inhibitors for the therapy of AML. The studies in primary AML samples are ongoing. Fig.1: MI-63 Induced Apoptosis Requires Intact p53 Fig.1:. MI-63 Induced Apoptosis Requires Intact p53 Fig.2: Efect of MI-63 on p53 and Related Proteins (comparison with N3a, a known MDM2 inhibitor included) Fig.2:. Efect of MI-63 on p53 and Related Proteins (comparison with N3a, a known MDM2 inhibitor included)


2010 ◽  
Vol 8 (5) ◽  
pp. 115
Author(s):  
P. Monfared ◽  
D. Rudan ◽  
L. Franken ◽  
G. Schneider ◽  
T. Viel ◽  
...  

2004 ◽  
Vol 2 (8) ◽  
pp. 50 ◽  
Author(s):  
F. Hilberg ◽  
U. Tontsch-Grunt ◽  
F. Colbatzky ◽  
A. Heckel ◽  
R. Lotz ◽  
...  

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