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Thomas R, Song D, Pourmohamad T, Kurita K, Chin S, Dai L, Goyon A, Medley CD, Gruenhagen JA, Chen T. Automated online deconjugation of antibody-drug conjugate for small molecule drug profiling. J Chromatogr A 2024; 1715:464575. [PMID: 38150875 DOI: 10.1016/j.chroma.2023.464575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/10/2023] [Indexed: 12/29/2023]
Abstract
Antibody-drug conjugates (ADCs) are designed by chemically linking highly potent cytotoxic small molecule drugs to monoclonal antibodies of unique specificity for targeted destruction of cancer cells. This innovative class of molecules incurs unique developmental challenges due to its structural complexity of having both small molecule and protein components. The stability of the small molecule payload on the ADC is a critical attribute as it directly relates to product efficacy and patient safety. This study describes the use of an end-to-end automated workflow for effective and robust characterization of the small molecule drug while it is conjugated to the antibody. In this approach, online deconjugation was accomplished by an autosampler user defined program and 1D size exclusion chromatography was utilized to provide separation between small molecule and protein species. The small molecule portion was then trapped and sent to the 2D for separation and quantification by reversed-phase liquid chromatography with identification of impurities and degradants by mass spectrometry. The feasibility of this system was demonstrated on an ADC with a disulfide-based linker. This fully automated approach avoids tedious sample preparation that may lead to sample loss and large assay variability. Under optimized conditions, the method was shown to have excellent specificity, sensitivity (LOD of 0.036 µg/mL and LOQ of 0.144 µg/mL), linearity (0.04-72.1 µg/mL), precision (system precision %RSD of 1.7 and method precision %RSD of 3.4), accuracy (97.4 % recovery), stability-indicating nature, and was successfully exploited to analyze the small molecule drug on a panel of stressed ADC samples. Overall, the workflow established here offers a powerful analytical tool for profiling the in-situ properties of small molecule drugs conjugated to antibodies and the obtained information could be of great significance for guiding process/formulation development and understanding pharmacokinetic/pharmacodynamic behavior of ADCs.
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Affiliation(s)
- Rekha Thomas
- Synthetic Molecule Analytical Chemistry, Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Dong Song
- Synthetic Molecule Analytical Chemistry, Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Tony Pourmohamad
- Nonclinical Biostatistics, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Kenji Kurita
- Synthetic Molecule Analytical Chemistry, Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Steven Chin
- Synthetic Molecule Analytical Chemistry, Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Lu Dai
- Protein Analytical Chemistry, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Alexandre Goyon
- Synthetic Molecule Analytical Chemistry, Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Colin D Medley
- Synthetic Molecule Analytical Chemistry, Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Jason A Gruenhagen
- Synthetic Molecule Analytical Chemistry, Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Tao Chen
- Synthetic Molecule Analytical Chemistry, Synthetic Molecule Pharmaceutical Sciences, Genentech, Inc., 1 DNA Way, South San Francisco, CA 94080, USA.
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Godinho JM, Naese JA, Toler AE, Boyes BE, Henry RA, DeStefano JJ, Grinias JP. Importance of Particle Pore Size in Determining Retention and Selectivity in Reversed Phase Liquid Chromatography. J Chromatogr A 2020; 1634:461678. [PMID: 33221655 DOI: 10.1016/j.chroma.2020.461678] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 10/30/2020] [Accepted: 11/01/2020] [Indexed: 01/09/2023]
Abstract
Column selection often centers on the identification of a stationary phase that increases resolution for a certain class of compounds. While gains in resolution are most affected by selectivity of the stationary phase or modifications of the mobile phase, enhancements can still be made with an intentional selection of the packing material's microstructure. Unrestricted mass transfer into the particle's porous structure minimizes band broadening associated with hindered access to stationary phase. Increased efficiency, especially when operating above the optimal flow rates, can be gained if the pore size is significantly larger than the solvated analyte. Less studied are the effects of reduced access to pores due to physical hindrance and its impact on retention. This article explores the relationship between pore size and reversed phase retention, and specifically looks at a series of particle architectures with reversed phase and size exclusion modes to study retention associated with access to stationary phase surface area.
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Affiliation(s)
- Justin M Godinho
- Advanced Materials Technology, Inc., 3521 Silverside Road, Wilmington, DE, 19810, USA.
| | - Joseph A Naese
- Rowan University, Department of Chemistry & Biochemistry, 201 Mullica Hill Rd., Glassboro, NJ 08028, USA
| | - Alexander E Toler
- Rowan University, Department of Chemistry & Biochemistry, 201 Mullica Hill Rd., Glassboro, NJ 08028, USA
| | - Barry E Boyes
- Advanced Materials Technology, Inc., 3521 Silverside Road, Wilmington, DE, 19810, USA
| | - Richard A Henry
- Independent Consultant, 983 Greenbriar Dr., State College, PA, 16801, USA
| | - Joseph J DeStefano
- Advanced Materials Technology, Inc., 3521 Silverside Road, Wilmington, DE, 19810, USA
| | - James P Grinias
- Rowan University, Department of Chemistry & Biochemistry, 201 Mullica Hill Rd., Glassboro, NJ 08028, USA.
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