Donna Dambach

Antibody-Mediated Inhibition of Fibroblast Growth Factor 19 Results in Increased Bile Acids Synthesis and Ileal Malabsorption of Bile Acids in Cynomolgus Monkeys

Fibroblast growth factor 19 (FGF19) represses cholesterol 7α-hydroxylase (Cyp7α1) and inhibits bile acid synthesis in vitro and in vivo. Previous studies have shown that anti-FGF19 antibody treatment reduces growth of colon tumor xenografts and prevents hepatocellular carcinomas in FGF19 transgenic mice and thus may be a useful cancer target. In a repeat dose safety study in cynomolgus monkeys, anti-FGF19 treatment (3-100 mg/kg) demonstrated dose-related liver toxicity accompanied by severe diarrhea and low food consumption. The mechanism of anti-FGF19 toxicity was investigated using in vitro and in vivo approaches. Our results show that anti-FGF19 antibody had no direct cytotoxic effect on monkey hepatocytes. Anti-FGF19 increased Cyp7α1, as expected, but also increased bile acid efflux transporter gene (bile salt export pump, multidrug resistant protein 2 [MRP2], and MRP3) expression and reduced sodium taurocholate cotransporting polypeptide and organic anion transporter 2 expression in liver tissues from treated monkeys and in primary hepatocytes. In addition, anti-FGF19 treatment increased solute transporter gene (ileal bile acid-binding protein, organic solute transporter α [OST-α], and OST-β) expression in ileal tissues from treated monkeys but not in Caco-2 cells. However, deoxycholic acid (a secondary bile acid) increased expression of FGF19 and these solute transporter genes in Caco-2 cells. Gas chromatography-mass spectrometry analysis of monkey feces showed an increase in total bile acids and cholic acid derivatives. These findings suggest that high doses of anti-FGF19 increase Cyp7α1 expression and bile acid synthesis and alter the expression of bile transporters in the liver resulting in enhanced bile acid efflux and reduced uptake. Increased bile acids alter expression of solute transporters in the ileum causing diarrhea and the enhanced enterohepatic recirculation of bile acids leading to liver toxicity.

Potential Mechanisms for Thrombocytopenia Development with Trastuzumab Emtansine (T-DM1)

Purpose: Trastuzumab-emtansine (T-DM1) is an antibody–drug conjugate (ADC) comprising the cytotoxic agent DM1 conjugated to trastuzumab with a stable linker. Thrombocytopenia was the dose-limiting toxicity in the phase I study, and grade ≥3 thrombocytopenia occurred in up to 13% of patients receiving T-DM1 in phase III studies. We investigated the mechanism of T-DM1–induced thrombocytopenia. Experimental Design: The effect of T-DM1 on platelet function was measured by aggregometry, and by flow cytometry to detect the markers of activation. The effect of T-DM1 on differentiation and maturation of megakaryocytes (MK) from human hematopoietic stem cells was assessed by flow cytometry and microscopy. Binding, uptake, and catabolism of T-DM1 in MKs, were assessed by various techniques including fluorescence microscopy, scintigraphy to detect T-[H3]-DM1 and 125I-T-DM1, and mass spectrometry. The role of FcγRIIa was assessed using blocking antibodies and mutant constructs of trastuzumab that do not bind FcγR. Results: T-DM1 had no direct effect on platelet activation and aggregation, but it did markedly inhibit MK differentiation via a cytotoxic effect. Inhibition occurred with DM1-containing ADCs but not with trastuzumab demonstrating a role for DM1. MKs internalized these ADCs in a HER2-independent, FcγRIIa-dependent manner, resulting in intracellular release of DM1. Binding and internalization of T-DM1 diminished as MKs matured; however, prolonged exposure of mature MKs to T-DM1 resulted in a disrupted cytoskeletal structure. Conclusions: These data support the hypothesis that T-DM1–induced thrombocytopenia is mediated in large part by DM1-induced impairment of MK differentiation, with a less pronounced effect on mature MKs. Clin Cancer Res; 21(1); 123–33. ©2014 AACR.

Toxicity Profile of Small-Molecule IAP Antagonist GDC-0152 Is Linked to TNF-α Pharmacology

Inhibitor-of-apoptosis (IAP) proteins suppress apoptosis and are overexpressed in a variety of cancers. Small-molecule IAP antagonists are currently being tested in clinical trials as novel cancer therapeutics. GDC-0152 is a small-molecule drug that triggers tumor cell apoptosis by selectively antagonizing IAPs. GDC-0152 induces NF-κB transcriptional activity leading to expression of several chemokines and cytokines, of which tumor necrosis factor alpha (TNF-α) is the most important for single-agent tumor activity. TNF-α is a pleiotropic cytokine that drives a variety of cellular responses, comprising inflammation, proliferation, and cell survival or death depending on the cellular context. As malignant and normal cells produce TNF-α upon IAP antagonism, increased TNF-α could drive both efficacy and toxicity. The toxicity profile of GDC-0152 in dogs and rats was characterized after iv dose administration once every 2 weeks for four doses. Findings in both species consisted of a dose-related, acute, systemic inflammatory response, and hepatic injury. Laboratory findings included elevated plasma cytokines, an inflammatory leukogram, and increased liver transaminases with histopathological findings of inflammatory infiltrates and apoptosis/necrosis in multiple tissues; a toxicology profile consistent with TNF-α-mediated toxicity. Dogs exhibited more severe findings than rats, and humans did not exhibit these findings, at comparable exposures across species. Furthermore, elevations in blood neutrophil count, serum monocyte chemoattractant protein-1, and other markers of inflammation corresponded to GDC-0152 exposure and toxicity and thus may have utility as safety biomarkers.

Pharmacokinetic drivers of toxicity for basic molecules: Strategy to lower pKa results in decreased tissue exposure and toxicity for a small molecule Met inhibitor

Several toxicities are clearly driven by free drug concentrations in plasma, such as toxicities related to on-target exaggerated pharmacology or off-target pharmacological activity associated with receptors, enzymes or ion channels. However, there are examples in which organ toxicities appear to correlate better with total drug concentrations in the target tissues, rather than with free drug concentrations in plasma. Here we present a case study in which a small molecule Met inhibitor, GEN-203, with significant liver and bone marrow toxicity in preclinical species was modified with the intention of increasing the safety margin. GEN-203 is a lipophilic weak base as demonstrated by its physicochemical and structural properties: high LogD (distribution coefficient) (4.3) and high measured pKa (7.45) due to the basic amine (N-ethyl-3-fluoro-4-aminopiperidine). The physicochemical properties of GEN-203 were hypothesized to drive the high distribution of this compound to tissues as evidenced by a moderately-high volume of distribution (Vd>3l/kg) in mouse and subsequent toxicities of the compound. Specifically, the basicity of GEN-203 was decreased through addition of a second fluorine in the 3-position of the aminopiperidine to yield GEN-890 (N-ethyl-3,3-difluoro-4-aminopiperidine), which decreased the volume of distribution of the compound in mouse (Vd=1.0l/kg), decreased its tissue drug concentrations and led to decreased toxicity in mice. This strategy suggests that when toxicity is driven by tissue drug concentrations, optimization of the physicochemical parameters that drive tissue distribution can result in decreased drug concentrations in tissues, resulting in lower toxicity and improved safety margins.

Discovery of highly potent and selective Bruton's tyrosine kinase inhibitors: Pyridazinone analogs with improved metabolic stability.

BTK inhibitor GDC-0834 (1) was found to be rapidly metabolized in human studies, resulting in a suspension of clinical trials. The primary route of metabolism was through cleavage of the acyclic amide bond connecting the terminal tetrahydrobenzothiophene with the central linker aryl ring. SAR studies were focused on reducing metabolic cleavage of this amide, and resulted in the identification of several central aryl linker substituents that conferred improved stability. The most promising substituted aryl linkers were then incorporated into an optimized pyridazinone scaffold, resulting in the identification of lead analog 23, possessing improved potency, metabolic stability and preclinical properties.

Phosphorous Dysregulation Induced by MEK Small Molecule Inhibitors in the Rat Involves Blockade of FGF-23 Signaling in the Kidney

MEK, a kinase downstream of Ras and Raf oncogenes, constitutes a high priority target in oncology research. MEK small molecule inhibitors cause soft tissue mineralization in rats secondary to serum inorganic phosphorus (iP) elevation, but the molecular mechanism for this toxicity remains undetermined. We performed investigative studies with structurally distinct MEK inhibitors GEN-A and PD325901 (PD-901) in Sprague-Dawley rats. Our data support a mechanism that involves FGF-23 signal blockade in the rat kidney, causing transcriptional upregulation of 25-hydroxyvitamin D(3) 1-alpha-hydroxylase (Cyp27b1), the rate-limiting enzyme in vitamin D activation, and downregulation of 1,25-dihydroxyvitamin D(3) 24-hydroxylase (Cyp24a1), the enzyme that initiates the degradation of the active form of vitamin D. These transcriptional changes increase serum vitamin D levels, which in turn drive the increase in serum iP, leading to soft tissue mineralization in the rat.

Safety Lead Optimization and Candidate Identification: Integrating New Technologies into Decision-Making.

Discovery toxicology focuses on the identification of the most promising drug candidates through the development and implementation of lead optimization strategies and hypothesis-driven investigation of issues that enable rational and informed decision-making. The major goals are to [a] identify and progress the drug candidate with the best overall drug safety profile for a therapeutic area, [b] remove the most toxic drugs from the portfolio prior to entry into humans to reduce clinical attrition due to toxicity, and [c] establish a well-characterized hazard and translational risk profile to enable clinical trial designs. This is accomplished through a framework that balances the multiple considerations to identify a drug candidate with the overall best drug characteristics and provides a cogent understanding of mechanisms of toxicity. The framework components include establishing a target candidate profile for each program that defines the qualities of a successful candidate based on the intended therapeutic area, including the risk tolerance for liabilities; evaluating potential liabilities that may result from engaging the therapeutic target (pharmacology-mediated or on-target) and that are chemical structure-mediated (off-target); and characterizing identified liabilities. Lead optimization and investigation relies upon the integrated use of a variety of technologies and models (in silico, in vitro, and in vivo) that have achieved a sufficient level of qualification or validation to provide confidence in their use. We describe the strategic applications of various nonclinical models (established and new) for a holistic and integrated risk assessment that is used for rational decision-making. While this review focuses on strategies for small molecules, the overall concepts, approaches, and technologies are generally applicable to biotherapeutics.

An Algorithm for Evaluating Potential Tissue Drug Distribution in Toxicology Studies from Readily Available Pharmacokinetic Parameters

Having an understanding of drug tissue accumulation can be informative in the assessment of target organ toxicities; however, obtaining tissue drug levels from toxicology studies by bioanalytical methods is labor-intensive and infrequently performed. Additionally, there are no described methods for predicting tissue drug distribution for the experimental conditions in toxicology studies, which typically include non-steady-state conditions and very high exposures that may saturate several processes. The aim was the development of an algorithm to provide semiquantitative and quantitative estimates of tissue-to-plasma concentration ratios (Kp ) for several tissues from readily available parameters of pharmacokinetics (PK) such as volume of distribution (Vd ) and clearance of each drug, without performing tissue measurement in vivo. The computational approach is specific for the oral route of administration and non-steady-state conditions and was applied for a dataset of 29 Genentech small molecules such as neutral compounds as well as weak and strong organic bases. The maximum success rate in predicting Kp values within 2.5-fold error of observed Kp values was 82% at low doses (<100 mg/kg) in preclinical species. Prediction accuracy was relatively lower with saturation at high doses (≥100 mg/kg); however, an approach to perform low-to-high dose extrapolations of Kp values was presented and applied successfully in most cases. An approach for the interspecies scaling was also applied successfully. Finally, the proposed algorithm was used in a case study and successfully predicted differential tissue distribution of two small-molecule MET kinase inhibitors, which had different toxicity profiles in mice. This newly developed algorithm can be used to predict the partition coefficients Kp for small molecules in toxicology studies, which can be leveraged to optimize the PK drivers of tissue distribution in an attempt to decrease drug tissue level, and improve safety margins.

Improving Risk Assessment

A U.S. government initiative to engineer nonclinical cell-based models that mimic human biology may improve predictions of drug-related adverse events. Widespread sharing and analysis of clinical trial data and a U.S. government initiative to engineer nonclinical cell-based models that mimic human biological processes have the potential to improve predictions of drug-related adverse events.

Integrated risk assessment of suicidal ideation and behavior in drug development.

Treatment-related suicidal ideation and behavior (SIB) adverse events are under increasing public, legal and regulatory scrutiny. Prospective assessment of SIB is emerging as a challenging safety requirement by health authorities for the development of drugs but the underlying risk factors remain ill defined. To help with the understanding of risk factors that trigger a prospective assessment of SIB in clinical trials, we present an industry consensus framework for risk assessment and decision making of SIB during drug development. Application of this strategy is based on chemical and pharmacological similarities of compounds with clinical evidence of suicidal intent, target or indication classes associated with high incidence of SIB, in vitro neuropharmacological activity profile, in vivo ADME properties, patient population of the underlying indication and regulatory precedents.