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Trastuzumab emtansine (T-DM1, brand name: Kadcyla®) is the first FDA-approved antibody-drug conjugate (ADC) for metastatic human epidermal growth factor receptor 2 positive (HER2+) breast cancer. It consists of three components: trastuzumab, an anti-HER2 monoclonal antibody, maytansinoid (DM1) as a cytotoxic drug, and maleimidomethyl cyclohexane-1-carboxylate (MCC) as a linker. In particular, the MCC linker is known as a non-cleavable linker and has a feature of being conjugated to DM1 by a covalent thioether bond. In this study, we developed an immuno-affinity capture liquid chromatography-mass spectrometric (LC-MS/MS) assay for quantifying the antibody-conjugated drug (acDrug) component of T-DM1. To quantify acDrug, desulfurated DM1 was prepared using a chemical desulfuration pretreatment and quantified as an acDrug. A quadratic regression (weighted 1/concentration), with equation y = ax2 + bx + c, was used to fit the calibration curves over the concentration range of 17.09~1709.44 ng/mL for the acDrug of T-DM1. The quantification run met the in-house acceptance criteria of ±25% accuracy and precision values for the quality control (QC) samples. In conclusion, an immuno-affinity capture LC-MS/MS assay was successfully developed to quantify acDrug of T-DM1 and applied to evaluate in vitro plasma linker stability and preclinical pharmacokinetic (PK) study in rats. This assay could be helpful when applied to other ADCs with the same linker-cytotoxic drug platform.

Sulfasalazine (SAS), an anti-inflammatory drug with potent cysteine/glutamate antiporter system xc-(SXC) inhibition has recently shown beneficial effects in brain-related diseases. Despite many reports related to central nervous system (CNS) effect of SAS, pharmacokinetics (PK) and metabolite identification studies in the brain for SAS were quite limited. The aim of this study was to investigate the pharmacokinetics and metabolite identification of SAS and their distributions in mouse brain. Using in vivo brain exposure studies (neuro PK), the PK parameters of SAS was calculated for plasma as well as brain following intravenous and oral administration at 10 mg/kg and 50 mg/kg in mouse, respectively. In addition, in vivo metabolite identification (MetID) studies of SAS in plasma and brain were also conducted. The concentration of SAS in brain was much lower than that in plasma and only 1.26% of SAS was detected in mouse brain when compared to the SAS concentration in plasma (brain to plasma ratio (%): 1.26). In the MetID study, sulfapyridine (SP), hydroxy-sulfapyridine (SP-OH), and N-acetyl sulfapyridine (Ac-SP) were identified in plasma, whereas only SP and Ac-SP were identified as significant metabolites in brain. As a conclusion, our results suggest that the metabolites of SAS such as SP and Ac-SP might be responsible for the pharmacological effect in brain, not the SAS itself.

Antibody–drug conjugate (ADC) linkers play an important role in determining the safety and efficacy of ADC. The Ortho Hydroxy-Protected Aryl Sulfate (OHPAS) linker is a newly developed linker in the form of a di-aryl sulfate structure consisting of phenolic payload and self-immolative group (SIG). In this study, using two bioanalytical approaches (namely “bottom-up” and “middle-up” approaches) via the liquid chromatography-quadrupole time-of-flight mass spectrometric (LC-qTOF-MS) method, in vitro and in vivo linker stability experiments were conducted for the OHPAS linker. For comparison, the valine-citrulline-p-aminobenzyloxycarbonyl (VC-PABC) linker was also evaluated under the same experimental conditions. In addition, the catabolite identification experiments at the subunit intact protein level were simultaneously performed to evaluate the catabolic fate of ADCs. As a result, the OHPAS linker was stable in the in vitro mouse/human plasma as well as in vivo pharmacokinetic studies in mice, whereas the VC-PABC linker was relatively unstable in mice in vitro and in vivo. This is because the VC-PABC linker was sensitive to a hydrolytic enzyme called carboxylesterase 1c (Ces1c) in mouse plasma. In conclusion, the OHPAS linker appears to be a good linker for ADC, and further experiments would be warranted to demonstrate the efficacy and toxicity related to the OHPAS linker.

We consider the problem of providing valid inference for a selected parameter in a sparse regression setting. It is well known that classical regression tools can be unreliable in this context because of the bias generated in the selection step. Many approaches have been proposed in recent years to ensure inferential validity. In this article we consider a simple alternative to data splitting based on randomizing the response vector, which allows for higher selection and inferential power than the former, and is applicable with an arbitrary selection rule. We perform a theoretical and empirical comparison of the two methods and derive a central limit theorem for the randomization approach. Our investigations show that the gain in power can be substantial. [ABSTRACT FROM AUTHOR]