In the treatment of echinoderm microtubule-associated protein-like 4 (EML4)-anaplastic lymphoma kinase positive (ALK+) non-small-cell lung cancer (NSCLC), secondary mutations within the ALK kinase domain have emerged as a major resistance mechanism to both first- and second-generation ALK inhibitors. This report describes the design and synthesis of a series of 2,4-diarylaminopyrimidine-based potent and selective ALK inhibitors culminating in identification of the investigational clinical candidate brigatinib. A unique structural feature of brigatinib is a phosphine oxide, an overlooked but novel hydrogen-bond acceptor that drives potency and selectivity in addition to favorable ADME properties. Brigatinib displayed low nanomolar IC50s against native ALK and all tested clinically relevant ALK mutants in both enzyme-based biochemical and cell-based viability assays and demonstrated efficacy in multiple ALK+ xenografts in mice, including Karpas-299 (anaplastic large-cell lymphomas [ALCL]) and H3122 (NSCLC). Brigatinib represents the most clinically advanced phosphine oxide-containing drug candidate to date and is currently being evaluated in a global phase 2 registration trial.
A molecular equivalence number (meqnum) classifies a molecule with respect to a class of structural features or topological shapes such as its cyclic system or its set of functional groups. Meqnums can be used to organize molecular structures into nonoverlapping, yet highly relatable classes. We illustrate the construction of some different types of meqnums and present via examples some methods of comparing diverse chemical libraries based on meqnums. In the examples we compare a library which is a random sample from the MDL Drug Data Report (MDDR) with a library which is a random sample from the Available Chemical Directory (ACD). In our analyses, we discover some interesting features of the topological shape of a molecule and its set of functional groups that are strongly linked with compounds occurring in the MDDR but not in the ACD. We also illustrate the utility of molecular equivalence indices in delineating the structural domain over which an SAR conclusion is valid.
The emergence of large chemical databases imposes a need for organizing the compounds in these databases. Mapping the chemical graph in particular, and a molecular equivalence class represented by a labeled pseudograph in general, to a unique number or string facilitates high-throughput browsing, grouping, and searching of the chemical database. Computing this number using a naming adaptation of the Morgan algorithm, we observed a large classification noise in which nonisomorphic graphs were mapped to the same number. Our extensions to that algorithm greatly reduced the classification noise.
Lactate dehydrogenase A (LDH-A) catalyzes the interconversion of lactate and pyruvate in the glycolysis pathway. Cancer cells rely heavily on glycolysis instead of oxidative phosphorylation to generate ATP, a phenomenon known as the Warburg effect. The inhibition of LDH-A by small molecules is therefore of interest for potential cancer treatments. We describe the identification and optimization of LDH-A inhibitors by fragment-based drug discovery. We applied ligand based NMR screening to identify low affinity fragments binding to LDH-A. The dissociation constants (K(d)) and enzyme inhibition (IC(50)) of fragment hits were measured by surface plasmon resonance (SPR) and enzyme assays, respectively. The binding modes of selected fragments were investigated by X-ray crystallography. Fragment growing and linking, followed by chemical optimization, resulted in nanomolar LDH-A inhibitors that demonstrated stoichiometric binding to LDH-A. Selected molecules inhibited lactate production in cells, suggesting target-specific inhibition in cancer cell lines.
In non-small cell lung cancer (NSCLC), multiple classes of activating mutations have been identified in EGFR and HER2 that vary widely in their sensitivity to available tyrosine kinase inhibitors (TKIs). Erlotinib, gefitinib, and afatinib are approved for use in patients with the most common forms of EGFR activating mutations (ie, exon 19 deletions or L858R substitutions). However, no TKIs are approved for patients with EGFR activated by any other mutation, including exon 20 insertions or other uncommon substitutions, or for patients with any class of HER2 activating mutation (including exon 20 insertions). As inhibition of wild-type (WT) EGFR is associated with dose-limiting toxicities, a TKI that inhibits oncogenic EGFR and HER2 variants more potently than WT EGFR is more likely to be able to be dosed to efficacious levels. AP32788 is a potent inhibitor of all oncogenic forms of EGFR and HER2, including exon 20 insertions, with selectivity over WT EGFR. Activity of AP32788 and other TKIs was assessed by measuring viability of Ba/F3 cell lines engineered to express 20 mutant variants of EGFR (n = 14) or HER2 (n = 6): 4 EGFR variants containing a common activating mutation with or without a T790M resistance mutation, 8 EGFR/HER2 variants containing an exon 20 activating insertion (eg, EGFR ASV, HER2 YVMA), and 8 EGFR/HER2 variants containing other uncommon activating mutations (eg, EGFR G719A, HER2 G776V). Inhibition of WT EGFR was assessed by measuring effects on EGFR phosphorylation in cells (A431) that over-express WT EGFR. Consistent with their clinical activity, erlotinib and gefitinib generally only inhibited the 2 EGFR variants with common activating mutations more potently than WT EGFR (IC50s 71 and 56 nM, respectively), and afatinib generally only inhibited EGFR with common activating mutations or uncommon substitutions more potently than WT EGFR (IC50 4 nM). In contrast, AP32788 inhibited all 14 mutant variants of EGFR (IC50s 2.4-22 nM), and all 6 mutant variants of HER2 (IC50s 2.4-26 nM), more potently than it inhibited WT EGFR (IC50 35 nM), including all 8 variants with exon 20 activating insertions. In mice implanted with a patient-derived tumor containing an EGFR exon 20 activating insertion, or with engineered Ba/F3 cells containing a HER2 exon 20 activating insertion, once daily oral dosing of AP32788 induced regression of tumors at doses that were well tolerated (30-100 mg/kg). In vivo efficacy was associated with inhibition of EGFR signaling in the tumor. AP32788 potently inhibited all activated forms of EGFR and HER2 tested, including exon 20 insertions, more potently than WT EGFR, suggesting it may have the selectivity necessary to achieve efficacious levels of exposure in patients. A phase 1/2 clinical trial of AP32788 in NSCLC patients is planned. Citation Format: Francois Gonzalvez, Xiaotian Zhu, Wei-Sheng Huang, Theresa E. Baker, Yaoyu Ning, Scott D. Wardwell, Sara Nadworny, Sen Zhang, Biplab Das, Yongjin Gong, Matthew T. Greenfield, Hyun G. Jang, Anna Kohlmann, Feng Li, Paul M. Taslimi, Meera Tugnait, Yongjin Xu, Emily Y. Ye, Willmen W. Youngsaye, Stephan G. Zech, Yun Zhang, Tianjun Zhou, Narayana I. Narasimhan, David C. Dalgarno, William C. Shakespeare, Victor M. Rivera. AP32788, a potent, selective inhibitor of EGFR and HER2 oncogenic mutants, including exon 20 insertions, in preclinical models. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2644.
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