Perspective on LC-MS(/MS) for biotherapeutic and biomarker proteins in research and regulated Bioanalysis: a consolidation of more than a decade of experience across the European Bioanalysis Forum community (Part 1: "The What").

Following up on our most recent discussion paper focusing on the continued regulatory challenges for bioanalysis of biotherapeutic and biomarker proteins with LC-MS/MS, the European Bioanalysis Forum reports back on their internal discussions on and experience with method development for biotherapeutic and biomarker proteins in research and regulated bioanalysis. Due to the broad array of topics discussed, this information is spread over two research papers, where one focusses on the fundamental principles on which the technology is built (i.e.

Immunocapture LC-MS(/MS) assays for biotherapeutic and biomarker proteins: the European Bioanalysis Forum continuing discussions on scientific and regulatory challenges.

The use of LC-MS(/MS) assays to quantify (biotherapeutic or biomarker) proteins is commonplace and well accepted across industry. There is a good understanding on the added value over conventional analytical technologies (i.e.

Development and validation of an LC-MS/MS method for simultaneous quantification of co-administered trastuzumab and pertuzumab.

Given the increasing use of combination therapy with multiple monoclonal antibodies (mAbs), there is a clinical need for multiplexing assays. For the frequently co-administered anti-human epidermal growth factor receptor 2 (HER2) mAbs trastuzumab and pertuzumab, we developed a high-throughput and robust hybrid ligand-binding liquid chromatography-mass spectrometry (LC-MS)/MS quantitative assay. Nanomolar concentrations of trastuzumab and pertuzumab were determined in 10 µL serum samples after extraction by affinity purification through protein A beads, followed by on-bead reduction, alkylation, and trypsin digestion.

Quantitative proteomics analysis identifies MUC1 as an effect sensor of EGFR inhibition.

Tumor responses to cancer therapeutics are generally monitored every 2-3 months based on changes in tumor size. Dynamic biomarkers that reflect effective engagement of targeted therapeutics to the targeted pathway, so-called "effect sensors", would fulfill a need for non-invasive, drug-specific indicators of early treatment effect. Using a proteomics approach to identify effect sensors, we demonstrated MUC1 upregulation in response to epidermal growth factor receptor (EGFR)-targeting treatments in breast and lung cancer models.