Literature DB >> 36207468

Pharmacokinetics and Pharmacodynamics of TAK-164 Antibody Drug Conjugate Coadministered with Unconjugated Antibody.

Bruna Menezes1, Eshita Khera1, Melissa Calopiz1, Michael D Smith2, Michelle L Ganno2, Cornelius Cilliers1, Adnan O Abu-Yousif2, Jennifer J Linderman1,3, Greg M Thurber4,5.   

Abstract

The development of new antibody-drug conjugates (ADCs) has led to the approval of 7 ADCs by the FDA in 4 years. Given the impact of intratumoral distribution on efficacy of these therapeutics, coadministration of unconjugated antibody with ADC has been shown to improve distribution and efficacy of several ADCs in high and moderately expressed tumor target systems by increasing tissue penetration. However, the benefit of coadministration in low expression systems is less clear. TAK-164, an ADC composed of an anti-GCC antibody (5F9) conjugated to a DGN549 payload, has demonstrated heterogeneous distribution and bystander killing. Here, we evaluated the impact of 5F9 coadministration on distribution and efficacy of TAK-164 in a primary human tumor xenograft mouse model. Coadministration was found to improve the distribution of TAK-164 within the tumor, but it had no significant impact (increase or decrease) on efficacy. Experimental and computational evidence indicates that this was not a result of tumor saturation, increased binding to perivascular cells, or compensatory bystander effects. Rather, the cellular potency of DGN549 was matched with the single-cell uptake of TAK-164 making its IC50 close to its equilibrium binding affinity (KD), and as such, coadministration dilutes total DGN549 in cells below the maximum cytotoxic concentration, thereby offsetting an increased number of targeted cells with decreased ability to kill each cell. These results provide new insights on matching payload potency to ADC delivery to help identify when increasing tumor penetration is beneficial for improving ADC efficacy and demonstrate how mechanistic simulations can be leveraged to design clinically effective ADCs.
© 2022. The Author(s), under exclusive licence to American Association of Pharmaceutical Scientists.

Entities:  

Keywords:  ADC bystander effects; Agent-based modeling; Antibody co-administration; Carrier dose; Guanylyl-cyclase C targeting

Mesh:

Substances:

Year:  2022        PMID: 36207468     DOI: 10.1208/s12248-022-00756-4

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   3.603


  48 in total

Review 1.  Antibody-Drug Conjugates: Future Directions in Clinical and Translational Strategies to Improve the Therapeutic Index.

Authors:  Steven Coats; Marna Williams; Benjamin Kebble; Rakesh Dixit; Leo Tseng; Nai-Shun Yao; David A Tice; Jean-Charles Soria
Journal:  Clin Cancer Res       Date:  2019-04-12       Impact factor: 12.531

Review 2.  Pharmacokinetic and Immunological Considerations for Expanding the Therapeutic Window of Next-Generation Antibody-Drug Conjugates.

Authors:  Eshita Khera; Greg M Thurber
Journal:  BioDrugs       Date:  2018-10       Impact factor: 5.807

3.  Imaging tumors with an albumin-binding Fab, a novel tumor-targeting agent.

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Journal:  Cancer Res       Date:  2007-01-01       Impact factor: 12.701

Review 4.  Antibody-Drug Conjugates: A Comprehensive Review.

Authors:  Puregmaa Khongorzul; Cai Jia Ling; Farhan Ullah Khan; Awais Ullah Ihsan; Juan Zhang
Journal:  Mol Cancer Res       Date:  2019-10-28       Impact factor: 5.852

5.  Influence of the dissociation rate constant on the intra-tumor distribution of antibody-drug conjugate against tissue factor.

Authors:  Ryo Tsumura; Shino Manabe; Hiroki Takashima; Yoshikatsu Koga; Masahiro Yasunaga; Yasuhiro Matsumura
Journal:  J Control Release       Date:  2018-06-12       Impact factor: 9.776

6.  MMAE Delivery Using the Bicycle Toxin Conjugate BT5528.

Authors:  Gavin Bennett; Amy Brown; Gemma Mudd; Philip Huxley; Katerine Van Rietschoten; Silvia Pavan; Liuhong Chen; Sophie Watcham; Johanna Lahdenranta; Nicholas Keen
Journal:  Mol Cancer Ther       Date:  2020-05-12       Impact factor: 6.261

7.  Multiscale Modeling of Antibody-Drug Conjugates: Connecting Tissue and Cellular Distribution to Whole Animal Pharmacokinetics and Potential Implications for Efficacy.

Authors:  Cornelius Cilliers; Hans Guo; Jianshan Liao; Nikolas Christodolu; Greg M Thurber
Journal:  AAPS J       Date:  2016-06-10       Impact factor: 4.009

Review 8.  Antibody-Drug Conjugates for Cancer Treatment.

Authors:  John M Lambert; Anna Berkenblit
Journal:  Annu Rev Med       Date:  2018-01-29       Impact factor: 13.739

9.  An Agent-Based Systems Pharmacology Model of the Antibody-Drug Conjugate Kadcyla to Predict Efficacy of Different Dosing Regimens.

Authors:  Bruna Menezes; Cornelius Cilliers; Timothy Wessler; Greg M Thurber; Jennifer J Linderman
Journal:  AAPS J       Date:  2020-01-15       Impact factor: 4.009

10.  Transient Competitive Inhibition Bypasses the Binding Site Barrier to Improve Tumor Penetration of Trastuzumab and Enhance T-DM1 Efficacy.

Authors:  Brandon M Bordeau; Yujie Yang; Joseph P Balthasar
Journal:  Cancer Res       Date:  2021-03-16       Impact factor: 12.701

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