This application note describes the fast, sensitive quantification of bevacizumab from rat plasma using the ProteinWorks eXpress Digest Kit and Protocol.
Simple, standardized approach to protein quantification; broadly applicable optimized digest kit eliminates method development for discovery studies; samples are ready for LC-MS analysis in 4–6 hours; high sensitivity detection limit of 100 ng/mL for bevacizumab was achieved
During the period of 2013-2020, many of the world’s top selling antibody-based drugs come off patent,1 including bevacizumab, an almost $6 billion dollar drug, expiring in 2020. In addition, as of 2013, there were 338 new monoclonal antibody drugs in development.2 This represents the largest class of biologics in the pipelines. As patents for bevacizumab and other important antibody therapies expire and additional antibody drugs are developed, the need for streamlined LC-MS protein bioanalysis methods and approaches continues to grow. This is particularly true as bioanalysis studies using LC-MS were historically dominated by small molecule therapies with far simpler and more straightforward sample prep and analysis methods. Bevacizumab (Avastin, Genentech/Roche) is a tumor angiogenesis inhibitor, which selectively binds to and neutralizes the biologic activity of human vascular endothelial growth factor (VEGF) and is an adjunct IV therapy for colorectal, lung, cervical and kidney cancer, amongst others.3,4 Typical dosing is in the 5–15 mg/kg range every 2–3 weeks, depending on indication. It was reported that doses >1 mg/kg produced serum levels of bevacizumab ≥10 μg/ml for at least 14 days.5 This information suggests that a quantification method with a detection limit of ≥100 ng/mL and an upper limit of quantification (ULOQ) of several hundred µg/mL would be more than sufficient. While this would be a trivial exercise for a small molecule bioanalyst, the lack of expertise in biological molecule handling and the techniques associated with protein quantification via the surrogate peptide approach make it challenging for those same individuals to readily obtain high quality bioanalytical data in support of antibody drug programs. A generic, yet standardized approach to protein bioanalysis using LC-MS which is broadly applicable to large molecule drug development would enable novice scientists to successfully support discovery studies. In addition, one such universal proven methodology could facilitate transfer of methods between sites and ensure reproducibility of results. This application note describes the fast, sensitive quantification of bevacizumab (Figure 1) from rat plasma using the ProteinWorks eXpress Digest Kit and Protocol. A single universal sample prep method using pre-weighed, lot-traceable reagents and a carefully developed, yet generic set of simple step-wise instructions produced an LLOQ of 100 ng/mL bevacizumab from 35 µL of rat plasma.
Bevacizumab was first immuno-purified from 35 µL rat plasma using a 96-well Protein A agarose-based plate. Samples were then prepared for LC-MS analysis using the ProteinWorks eXpress Digest Kit and protocol. Finally, signature peptides were cleaned-up using the ProteinWorks µElution SPE Clean-up Kit and Protocol.
LC system: |
ACQUITY UPLC |
Detection: |
Xevo TQ-S Mass Spectrometer, ESI+ |
Column: |
ACQUITY UPLC Peptide BEH C18, 300Å, 1.7μm, 2.1 mm x 150 mm |
Column temp.: |
55 °C |
Sample temp.: |
10 °C |
Injection volume: |
10 μL |
Mobile phase A: |
0.1% formic acid in water |
Mobile phase B: |
0.1% formic acid in acetonitrile |
Data management: |
MassLynx (v4.1) |
Flow rate (mL/min) |
Time (min) |
Profile |
Curve |
|
%A |
%B |
|||
0.3 |
0 |
100 |
0 |
6 |
0.3 |
1 |
100 |
0 |
6 |
0.3 |
7 |
50 |
50 |
6 |
0.3 |
8 |
10 |
90 |
6 |
Capillary (kv): |
3 |
Cone (V): |
30 |
Source offset (V): |
50 |
Source temp. (°C): |
150 |
Desolvation temp. (°C): |
600 |
Cone gas flow (L/hr): |
150 |
Desolvation gas flow (L/hr): |
1000 |
Collision gas flow (mL/min): |
0.15 |
Nebuliser gas flow (Bar): |
7 |
*Unique Signature Peptide
Table 1. MRM conditions for bevacizumab peptides and the internal standard peptide.
With the bevacizumab US patent expiration date of 2020 drawing ever closer, the focus on this important drug in CRO’s as well as biosimilar research labs has increased. However, typical workflows are incredibly complex, with a multitude of choices and options. This makes the development of high sensitivity LC-MS methods for this and other monoclonal antibody-based drugs particularly challenging. In this application note, we have used the ProteinWorks eXpress Digest Kit to simplify and streamline the process. Bevacizumab samples were affinity purified, digested, and peptides extracted using SPE in under 6 hours total. This enabled same day data acquisition, with several 96-well plates being run by the following morning. Multiple unique signature peptides as well as a generic human peptide were simultaneously monitored for use in quantification. The best sensitivity and specificity were achieved using the unique peptide FTFSLDTSK from the variable region of the heavy chain, while additional generic (STSGGTAALGC+57LVK, heavy chain) and specific (STAYLQMNSLR, heavy chain) bevacizumab peptides were monitored for confirmation. A signature peptide (NTQPIMDTDGSYFVYSK) from a common murine mAb standard (p/n 186006552) was used as the internal standard.
Using the optimized protocol and reagents provided in the kit, only 35 µL of plasma was needed to achieve a quantification limit of 100 ng/mL for bevacizumab (Figure 2). Linearity and accuracy of the standard curves arising from each peptide are summarized in Table 2. The primary, and most sensitive and specific quantitative peptide, FTFSLDTSK, was linear over 3.5 orders of magnitude with a mean accuracy of 100% for all points on the curve. The additional three peptides were linear over 3–3.5 orders of magnitude with average accuracies >99% for all curve points.
*Unique signature peptide
Table 2. Linear dynamic range and standard curve statistics for signature peptides used to quantify bevacizumab in rat plasma.
In addition, the accuracy and precision for the QC samples was excellent with %CVs all ≤7%. This is summarized in Table 3. In fact, the average %CV for QC samples from the FTFSLDTSK peptide was 4%. Similarly, the average %CV for QC samples from the STAYLQMNSLR peptide was only 3%. Furthermore, the precision of the low QC across all peptides was 3%. Mean accuracies for all peptides hovered close to 100%.
We consistently achieved single digit accuracy and precision during bevacizumab analysis through a combination of three primary factors: high fidelity chromatographic data, an optimized, well controlled protocol, and the use of a set of standardized, pre-measured reagents. These three critical components were realized through application of the ProteinWorks eXpress Digest Kit, which facilitated low level detection, separation from residual endogenous interferences, and the very high accuracy and precision. This performance is highlighted in the QC chromatograms from representative signature peptides in Figures 3 and 4.
The ProteinWorks eXpress Digest Kit was successfully used to purify bevacizumab from a typical set of standard curve and QC samples in rat plasma. A limit of quantification of 100 ng/mL was readily achieved from only 35 µL rat plasma, while maintaining excellent linearity and single digit precision. The total sample prep time including an affinity purification step was under 6 hours. The total digest prep time was just over 2 hours. The universal, kit-based approach allows novice users to achieve low detection limits with a simple step-wise protocol and a set of standardized, pre-measured reagents, ensuring both the sensitivity required and the transferability desired of such methods.
In addition, the kit is optimized and flexible enough to enable simultaneous, sensitive quantification of both unique and generic signature peptides from monoclonal antibodies. This is important as confirmatory data from multiple peptides is critical in supporting the confident use of LC-MS for protein bioanalysis workflows.
720005534, April 2016