Trastuzumab emtansine (Kadcyla) is a recently approved antibody-drug conjugate produced by attachment of the anti-tubulin drug, DM1, to lysine amines via the SMCC linker. The resulting product exhibits a drug load distribution from 0 to 8 drugs per antibody that can be quantified using mass spectrometry. Different statistical models were tested against the experimental data derived from samples produced during process characterization studies to determine best fit. The Poisson distribution gives the best correlation for samples manufactured using the target process conditions (yielding the target average drug to antibody ratio (DAR) of 3.5) as well as those produced under conditions that exceed the allowed manufacturing ranges and yield products with average DAR values that are significantly different from the target (i.e., ≤3.0 or ≥4.0). The Poisson distribution establishes a link between average DAR values and drug load distributions, implying that measurement and control of the former (i.e., via a simple UV spectrophotometric method) could be used to indirectly control the latter in trastuzumab emtansine.

Accurate and precise quantitative measurement of product-related variants of a therapeutic antibody is essential for product development and testing. Bispecific antibodies (bsAbs) are Abs composed of two different half antibody arms, each of which recognizes a distinct target, and recently they have attracted substantial therapeutic interest. Because of the increased complexity of its structure and its production process, as compared to a conventional monoclonal antibody, additional product-related variants, including covalent and noncovalent homodimers of half antibodies (hAbs), may be present in the bsAb product. Sufficient separation and reliable quantitation of these bsAb homodimers using liquid chromatography (LC) or capillary electrophoresis-based methods is challenging because these homodimer species and the bsAb often have similar physicochemical properties. Formation of noncovalent homodimers and heterodimers can also occur. In addition, since homodimers share common sequences with their corresponding halves and bsAb, it is not suitable to use peptides as surrogates for their quantitation. To tackle these analytical challenges, we developed a mass spectrometry-based quantitation method. Chip-based nanoflow LC-time-of-flight mass spectrometry coupled with a standard addition approach provided unbiased absolute quantitation of these drug-product-related variants. Two methods for the addition of known levels of standard (multi- or single-addition) were evaluated. Both methods demonstrated accurate and reproducible quantitation of homodimers at the 0.2% (w/w) level, with the single-addition method having the promise of higher analytical throughput.

In the biotechnology industry, a visual assessment is the most commonly used method for color characterization, batch release, and stability testing of liquid protein drug solutions. Using this method, an analyst visually determines the color of the sample by choosing the closest match to a standard color series. This visual method can be subjective because it requires an analyst to make a judgment of the best match of color of the sample to the standard color series, and it does not capture data on hue and chroma that would allow for improved product characterization and the ability to detect subtle differences between samples. To overcome these challenges, we developed a quantitative spectral method for color determination that greatly reduces the variability in measuring color and allows for a more precise understanding of color differences. The details of the spectral quantitative method are described. A comparison between the visual assessment method and spectral quantitative method is presented. This study supports the transition to a quantitative spectral method from the visual assessment method for quality testing of protein solutions.

In the biotechnology industry, a visual assessment is the most commonly used method for color characterization, batch release, and stability testing of liquid protein drug solutions. Using this method, an analyst visually determines the color of the sample by choosing the closest match to a standard color series. This visual method can be subjective because it requires an analyst to make a judgment of the best match of color of the sample to the standard color series, and it does not capture data on hue and chroma that would allow for improved product characterization and the ability to detect subtle differences between samples. To overcome these challenges, we developed a quantitative spectral method for color determination that greatly reduces the variability in measuring color and allows for a more precise understanding of color differences. In this study, we established a statistical method for assessing precision in 3-dimensional space and demonstrated that the quantitative spectral method is comparable with respect to precision and accuracy to the current European Pharmacopoeia visual assessment method.