New USP News room

Imfinzi received an expanded indication for lung cancer from FDA in August 2024, and Tagrisso had been approved to treat lung cancer in China in June 2024.

In this episode, we explore BIOVECTRA’s capabilities in antibody-drug conjugate (ADC) manufacturing, from complex conjugation chemistry to synthesis of highly potent payloads. We’ll also showcase how BIOVECTRA’s extensive experience in complex chemistries and specialized small molecule manufacturing gives them a unique perspective, strengthening their approach to ADC production and ensuring clients receive custom solutions across all project stages.

Under the partnership, the companies will combine fully automated and digitalized technologies aimed at reducing CGT manufacturing timelines to 2.5 days.

Metabolic Flux Analysis (MFA) is a powerful technique used to characterize metabolic phenotype driving to improved productivity in biomanufacturing. MFA is most powerful when absolute concentrations of the metabolic intermediates are measured, but doing so in practice is often impractical due to inherent limitations of conventional absolute quantitation by mass spectral analysis. Recently, advances in artificial intelligence (AI) have been applied to solving the problem of broad, untargeted, absolute quantitation in liquid chromatography-mass spectrometry (LC-MS). These new approaches extend readily to the determination of absolute concentrations of stable isotopically-labeled metabolic intermediates, offering a new tool for MFA. Dr Sam Yenne from Metalytics Inc., a company that specializes in the science of metabolic flux, has recently assessed and adopted Pyxis, a new tool for absolute quantitation of raw LC-MS data. Dr Yenne describes MFA, its utility in biopharmaceutical development, associated challenges and how Pyxis impacts those challenges.

Glycan analysis provides key information on critical quality attributes that could affect stability, safety and efficacy of a protein therapeutic. Specific needs for understanding the glycosylation profiles change throughout the drug development process, but the requirement for high-resolution glycan information remains the same and is essential to help ensure product quality.