Antibody-drug conjugates are a new type of targeted anticancer therapy, which use an antibody to deliver an attached drug directly to those cells that display the antibody's target on their surfaces. This precision reduces the side effects of the attached drug compared with conventional systemic administration. Currently, there are two U.S. Food and Drug Administration-approved antibody-drug conjugates used for the treatment of certain cancers.
Guanylyl cyclase C (GCC) is a cell-surface protein that is expressed by normal intestinal epithelial cells, more than 95% of metastatic colorectal cancers (mCRC), and the majority of gastric and pancreatic cancers. Due to strict apical localization, systemically delivered GCC-targeting agents should not reach GCC in normal intestinal tissue, while accessing antigen in tumor. We generated an investigational antibody-drug conjugate (TAK-264, formerly MLN0264) comprising a fully human anti-GCC monoclonal antibody conjugated to monomethyl auristatin E via a protease-cleavable peptide linker. TAK-264 specifically bound, was internalized by, and killed GCC-expressing cells in vitro in an antigen-density-dependent manner. In GCC-expressing xenograft models with similar GCC expression levels/patterns observed in human mCRC samples, TAK-264 induced cell death, leading to tumor regressions and long-term tumor growth inhibition. TAK-264 antitumor activity was generally antigen-density-dependent, although some GCC-expressing tumors were refractory to TAK-264-targeted high local concentrations of payload. These data support further evaluation of TAK-264 in the treatment of GCC-expressing tumors.
Abstract MLN0264 is an investigational antibody-drug conjugate (ADC) that consists of the human anti-guanylyl cyclase C (GCC) antibody linked to a microtubule-disrupting agent (monomethyl auristatin). As ADCs have a very long clearance half-life, the potential exists for a highly infrequent dosing schedule. A quantitative understanding of the relationship between exposure and preclinical antitumor biological activity is thus applied to support dose schedule selection in the clinic. In this study, we develop a pharmacokinetic/efficacy (PK/E) relationship in xenograft models to evaluate the predictive contributions of exposure and xenograft characteristics to MLN0264 biological activity. Single dose pharmacokinetic (PK) data were obtained for a range of time points, and a linear two-compartment PK model was built. Xenograft biological activity studies were conducted in which MLN0264 was administered at various dose levels and dosing schedules to mice bearing one of six different xenograft models. We used multiple linear regression and tumor dynamic modeling to understand the factors contributing to the biological activity. First, the growth rate of each tumor under control and treatment conditions was established by fitting the biological activity data within the dosing period to an exponential growth function. Then, we assessed the relationship of AUC to antitumor biological activity. Within each xenograft model, AUC was strongly correlated with biological activity across a range of schedules (R2>0.9, p<0.03, for all models). AUC-proportional biological activity was confirmed using dynamic modeling with direct drug effect to simulate the tumor dynamics for different dosing schedules. Although biological activity within a xenograft model was strongly correlated with exposure, when the data from different xenograft models were pooled together, the correlation was weaker (R2= 0.30, p= 0.0004). This result suggests that, although schedule is not a major determinant of biological activity, other xenograft-specific factors may be contributing to biological activity. To test the contribution of some possible factors, we used multiple linear regression to determine which covariates (such as GCC expression level and baseline growth rate of xenograft models) are predictive of biological activity. The results suggest baseline growth rate does not correlate with biological activity while GCC expression is weakly correlated. This finding formed the basis for the development of a mechanistic model of GCC expression and biological activity. Taken together, this work demonstrates the use of a PK/E framework to identify the scheduling effect for a first-in-man protocol for an ADC. We have also demonstrated that this PK/E framework can be further leveraged to assess the contribution of other potential predictors of ADC biological activity in xenograft models. Citation Format: Shu-Wen Teng, Christopher Zopf, Johnny Yang, Brad Stringer, Julie Zhang, Wen Chyi Shyu, Arijit Chakravarty, Petter Veiby, Jerome Mettetal. Using pharmacokinetic/efficacy modeling to identify the optimal schedule for MLN0264, an anti- guanylyl cyclase C (GCC) antibody-drug conjugate, in a range of xenograft models. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4649. doi:10.1158/1538-7445.AM2014-4649
Background: MLN0264 consists of a fully human anti-GCC monoclonal antibody linked to the microtubule-disrupting agent monomethyl auristatin E (MMAE) via a protease-cleavable linker (MMAE and linker technology licensed from Seattle Genetics). The transmembrane cell surface receptor GCC is expressed by ∼95% of primary and metastatic colorectal cancer (mCRC) tumors. MLN0264 has shown selective binding and antitumor activity in mouse xenograft models of mCRC expressing GCC, and is currently being investigated in a phase 1 study in patients with advanced gastrointestinal malignancies. GCC is also expressed in subsets of pancreatic cancers. Further to the findings in mCRC, we investigated GCC expression in human pancreatic tumors and evaluated MLN0264 activity in mouse xenograft models of GCC-expressing human pancreatic cancer. Methods: GCC expression in multiple human pancreatic cancer samples including tissue microarrays (TMAs) was evaluated by immunohistochemistry (IHC). For in vivo studies, 7 mouse xenograft primary human tumor explant (PHTX) models of pancreatic cancer were developed, including tumor tissue from patients with wild-type and mutant KRAS. Animals were treated when the tumor reached ∼230 mm3. In single-agent studies, animals were administered vehicle, MMAE 0.135 mg/kg once weekly (QW), or MLN0264 3.75 or 7.5 mg/kg QW. In combination studies, animals received vehicle, or MLN0264 7.5 mg/kg QW alone or in combination with gemcitabine 15 or 20 mg/kg twice weekly (BIW), or gemcitabine 15 mg/kg on days 1, 3 each week. Average tumor volume was determined at multiple time points following the start of treatment using vernier callipers. Results: In the GCC-expressing PHTX-249 mouse xenograft model (KRAS mutant G12), single-agent MLN0264 showed significant tumor growth inhibition (TGI) versus vehicle or free MMAE by day 21, with the 7.5 mg/kg dose significantly better than 3.75 mg/kg by day 20-22. Similarly, in the GCC-expressing PHTX-215 model (KRAS wild-type), MLN0264 7.5 mg/kg resulted in significantly greater TGI (79%) versus free MMAE or MLN0264 3.75 mg/kg by day 22, including some tumor regression. Across the 7 models (variable apical GCC expression; KRAS wild-type and mutant), TGI ranged from 24% (p=0.17) to 79% (p<0.001) with single-agent MLN0264. In the PHTX-249 model, MLN0264 7.5 mg/kg plus gemcitabine 15/20 mg/kg BIW or 15 mg/kg, days 1, 3, showed significantly greater TGI than either agent alone. At day 20-21, TGI was 46-47% for single-agent MLN0264, 66-79% for gemcitabine 15 mg/kg BIW and gemcitabine days 1, 3, and 84-88% for the respective combinations; 3 of 7 animals in the latter combination group had a smaller tumor volume at day 20 versus day 0 (TGI, 93%). Conclusions: These findings indicate that MLN0264 has antitumor activity as a single agent and in combination with gemcitabine in GCC-expressing pancreatic cancer xenograft models, and support clinical evaluation of MLN0264 in patients with pancreatic cancer. Data from additional models will be presented. Citation Information: Mol Cancer Ther 2013;12(11 Suppl):PR12. Citation Format: Julie Zhang, Melissa Gallery, Tim Wyant, Brad Stringer, Mark Manfredi, Hadi Danaee, Petter Veiby. MLN0264, an investigational, first-in-class antibody-drug conjugate (ADC) targeting guanylyl cyclase C (GCC), demonstrates antitumor activity alone and in combination with gemcitabine in human pancreatic cancer xenograft models expressing GCC. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2013 Oct 19-23; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2013;12(11 Suppl):Abstract nr PR12.
Abstract The successful development of VELCADE® (bortezomib) for multiple myeloma and previously treated mantle cell lymphoma has validated the proteasome as a therapeutic target for hematological malignancies. The investigational drug MLN9708 is a modified dipeptidyl boronic acid and a potent, reversible and specific inhibitor of the proteasome. MLN9708 is currently being evaluated in Phase I trials for hematologic malignancies as well as solid tumors. In preclinical models, MLN9708 showed better antitumor activity and PD response compared to bortezomib.Upon exposure to aqueous solutions or plasma, MLN9708 immediately hydrolyzes to MLN2238, the biologically active form. MLN2238 was used for all preclinical studies described in this report. We evaluated the antitumor activity of MLN2238 in several non small cell lung cancer (NSCLC) xenografts. More than 70% tumor growth inhibition was observed in the HCC-827 xenograft model with 13 mg/kg, IV, twice weekly (BIW) dosing. In the H1650 NSCLC xenograft model, 40-50% tumor growth inhibition was found at 8 and 11 mg/kg, IV, BIW dosing. However, a synergistic effect on H1650 tumor growth inhibition was found when MLN2238 was combined with chemotherapeutic agents including doxorubicin 8 mg/kg IV, weekly (QW) dosing (90% tumor growth inhibition) and taxotere 5 and 10 mg/kg, IV, QW (80-100% tumor growth inhibition). Furthermore, the combination of MLN2238 (8 and 11 mg/kg, IV, BIW) and taxotere (10 mg/kg, IV, QW) resulted in tumor regression in the H1650 xenograft model, whereas no regressions were observed with either drug as a single agent. Similar single agent activity and combination effect with taxotere was observed We also evaluated single agent activity and combination with taxotere in an early-passage primary human tumor xenograft model, PHTX-132Lu. In an effort to understand the factors that may determinecontributing sensitivity vs resistance to proteasome inhibitors, we tested the ability of MLN2238 to inhibit anchorage independent growth and colony formation of NSCLC tumor cells in semi-solid medium. For these studies, tumor cells are derived from primary human tumor explants which have been maintained by serial passage in immunocompromised mice. Initial experiments show a range of sensitivity to MLN2238 among the primary tumors, Comparisons of genomic data, including gene expression profiles, copy number variation, and sequencing of commonly mutated genes, may illuminate factors contributing to sensitivity and resistance. In addition, in vivo studies will be performed on selected models to examine the value of this in vitro colony formation assay in predicting in vivo sensitivity. Data suggest that MLN2238 has antitumor activity alone and in combination with cytotoxic agents in preclinical models of NSCLC, and these results support the ongoing Phase I clinical investigation of MLN9708 in solid tumor types including NSCLC. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2828. doi:10.1158/1538-7445.AM2011-2828