drug-to-antibody ratio (dar) calculation of antibody-drug ... · and 3.88 (%cv = 1.1) for the...

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Drug-to-Antibody Ratio (DAR) Calculation of Antibody-Drug Conjugates (ADCs) Using Automated Sample Preparation and Novel DAR Calculator Software Application Note Authors Jing Chen and Steve Murphy Agilent Technologies, Inc. Introduction Antibody-drug conjugates (ADCs) are a new class of biotherapeutics that represent a rapidly growing portion of the drug discovery pipeline in pharmaceutical companies. ADCs are monoclonal antibodies chemically linked to biologically active small molecule drugs. By combining potent cytotoxic drugs with target-specific antibodies, ADCs deliver cytotoxic drugs to the diseased tissue while limiting the toxicity in the nontargeted tissues. Drug-to-antibody ratio (DAR) is the average number of drugs conjugated to the antibodies, which is an important attribute of ADCs. The DAR value affects the efficacy of the drug, as low drug loading reduces the potency, while high drug loading can negatively affect pharmacokinetics (PK) 1 and toxicity. With the current conjugation chemistry, that is lysine side-chain amidation or cysteine interchain disulfide bond reduction, a drug load of 0 ~8 drugs (D0 ~ D8) per antibody is commonly observed. LC/MS is a popular analytical method for measuring the DAR and the drug load distribution of ADCs. It is an essential method used in the identification of various drug-loaded ADCs species. In most cases, the intact ADC can be analyzed directly using LC/MS to determine the DAR value. The ADCs may be reduced before LC/MS analysis when specific DAR information on the light and heavy chains is needed. Additionally, the ADCs may be deglycosylated prior to LC/MS analysis to further reduce spectrum complexity. ADC sample preparation prior to LC/MS analysis is typically done manually which can introduce variability and limit throughput. The Agilent AssayMAP Bravo is an easy-to-use automated sample preparation system that gives great reproducibility, labor savings in the form of reduced hands-on time, scalability (8–96 samples can be run simultaneously), simple person-to-person and site-to-site method transfer, and it minimizes the possibility of human error. AssayMAP Bravo is an excellent platform for providing automated sample preparation of the aforementioned reactions.

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Page 1: Drug-to-Antibody Ratio (DAR) Calculation of Antibody-Drug ... · and 3.88 (%CV = 1.1) for the intact deglycosylated ADCs. Figure 3. Representative DAR calculation of intact glycosylated

Drug-to-Antibody Ratio (DAR) Calculation of Antibody-Drug Conjugates (ADCs)Using Automated Sample Preparation and Novel DAR Calculator Software

Application Note

AuthorsJing Chen and Steve MurphyAgilent Technologies, Inc.

IntroductionAntibody-drug conjugates (ADCs) are a new class of biotherapeutics that represent a rapidly growing portion of the drug discovery pipeline in pharmaceutical companies. ADCs are monoclonal antibodies chemically linked to biologically active small molecule drugs. By combining potent cytotoxic drugs with target-specifi c antibodies, ADCs deliver cytotoxic drugs to the diseased tissue while limiting the toxicity in the nontargeted tissues.

Drug-to-antibody ratio (DAR) is the average number of drugs conjugated to the antibodies, which is an important attribute of ADCs. The DAR value affects the effi cacy of the drug, as low drug loading reduces the potency, while high drug loading can negatively affect pharmacokinetics (PK)1 and toxicity. With the current conjugation chemistry, that is lysine side-chain amidation or cysteine interchain disulfi de bond reduction, a drug load of 0 ~8 drugs (D0 ~ D8) per antibody is commonly observed.

LC/MS is a popular analytical method for measuring the DAR and the drug load distribution of ADCs. It is an essential method used in the identifi cation of various drug-loaded ADCs species. In most cases, the intact ADC can be analyzed directly using LC/MS to determine the DAR value. The ADCs may be reduced before LC/MS analysis when specifi c DAR information on the light and heavy chains is needed. Additionally, the ADCs may be deglycosylated prior to LC/MS analysis to further reduce spectrum complexity.

ADC sample preparation prior to LC/MS analysis is typically done manually which can introduce variability and limit throughput. The Agilent AssayMAP Bravo is an easy-to-use automated sample preparation system that gives great reproducibility, labor savings in the form of reduced hands-on time, scalability (8–96 samples can be run simultaneously), simple person-to-person and site-to-site method transfer, and it minimizes the possibility of human error. AssayMAP Bravo is an excellent platform for providing automated sample preparation of the aforementioned reactions.

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LC/MS analysisLC/MS analyses were conducted on an Agilent 6550 iFunnel Q-TOF (Santa Clara, CA) equipped with a Agilent Dual Jet Stream ESI source coupled with the Agilent 1290 Infi nity UHPLC system (Waldbronn, Germany). Table 1 and Table 2 list the LC/MS parameters used. One microgram of sample was injected for each run.

Data analysisRaw data obtained from LC/MS were deconvoluted with Agilent MassHunter Qualitative Analysis Software (Version B.07.00, Build 7.0.7024.0), with BioConfi rm using the Maximum Entropy deconvolution algorithm. The deconvolution parameters were set as follows:

• For intact ADCs, mass range was set to 140,000–160,000 Da and mass step at 1 Da

• For reduced ADCs, mass range was set to 20,000–60,000 Da, mass step to 0.1 Da

• For both intact and reduced ADCs, average mass was calculated using top peak height at 25 %

The rest of the parameters were set to default. The deconvoluted spectra were then exported as a .csv fi le and imported into an Agilent DAR calculator. After inputting/selecting D0 mass and drug/linker mass, the DAR calculator automatically selects, annotates and integrates mass peak groups of ADCs with various drug loadings, and calculates the average DAR and generates a peak list table.

ExperimentalMaterialRapid PNGase F was purchased from New England Biolabs (Ipswich, MA). Eppendorf 96-well PCR plates were from Eppendorf (Hauppauge, NY); Tris chloride and Tris(hydroxymethyl)aminomethane were purchased from EMD Millipore (Billerica, MA). All other chemicals were from Sigma-Aldrich (St. Louis, MO).

In-solution reduction and deglycosylation using Agilent AssayMAP BravoLyophilized ADCs were reconstituted in deionized (DI) water to 5 mg/mL, aliquoted and stored at –80 °C until used. All reagent transfers were performed using the Agilent AssayMAP Bravo platform (Santa Clara, CA) through Protein Sample Prep Workbench software. Five microliters of ADCs were dispensed into each well of the fi rst four columns of a 96-well Eppendorf PCR plate (position A1-H4). Subsequently, 10 µL of 10 mM Tris buffer (pH = 7.5) (position A1-H2), or 35 mM DTT in 10 mM Tris buffer (pH = 7.5) (position A3-H4) were added to the samples. Finally, 20 µL of 10 mM Tris buffer (pH = 7.5) (positions A1-H1 and A3-H3) or rapid PNGase F (diluted 1:40) in 10 mM Tris buffer (pH = 7.5) (A2-H2 and A4-H4) were added to the samples. The sample plate was sealed using an Agilent PlateLoc Thermal Plate Sealer (Santa Clara, CA) and incubated at 50 °C for 10 minutes.

The AssayMAP Bravo automated sample preparation platform together with the Agilent LC/MS and MassHunter/BioConfi rm/DAR Calculator software provides a reproducible and easy solution for the DAR calculation of ADCs. In this Application Note, intact and reduced ADCs, with or without deglycosylation, were processed in parallel using the Agilent AssayMAP Bravo platform, and analyzed using the Agilent LC/MS. The DAR was then determined with the Agilent DAR calculator.

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Results and DiscussionTo determine the DAR of an example lysine conjugated ADC, ADCs were prepared in four different conditions (n = 8 for each condition); intact glycosylated, intact deglycosylated, reduced glycosylated, and reduced deglycosylated using the AssayMAP Bravo platform. They were analyzed with an Agilent 1290 Infi nity UHPLC system equipped with a 2.1 mm ID 1000Å PLRP-S LC column which was coupled to the 6550 Q-TOF, followed by data analysis using Agilent MassHunter/BioConfi rm/DAR Calculator software (Figure 1).

Agilent 1290 Infi nity LC SystemParameter Intact ReducedColumn Agilent PLRP-S, 1000 Å

2.1 × 150 mm, 8 µmAgilent PLRP-S, 1000 Å2.1 × 150 mm, 8 µm

Sample thermostat 5 °C 5 °CMobile phase A 0.1 % Formic acid in water 0.1 % Formic acid in waterMobile phase B 0.1 % Formic acid in acetonitrile 0.1 % Formic acid in acetonitrileGradient 0–5 minutes, 20 %B

5–10 minutes, 20–90 %B0–5 minutes, 20 %B5–6 minutes, 20–75 %B6–10 minutes, 75–90 %B

Post time None NoneColumn temperature 80 °C 80 °CFlow rate 0.4 mL/min 0.4 mL/min

Table 1. Liquid chromatography parameters.

Table 2. Mass spectrometer parameters.

Parameter Agilent 6550 Q-TOF LC/MS SystemIon mode Positive ion mode Positive ion modeSource Agilent Dual Jet Stream Agilent Dual Jet StreamDrying gas temperature 290 °C 290 °CDrying gas fl ow 14 L/min 14 L/minSheath gas temperature 400 °C 400 °CSheath gas fl ow 12 L/min 12 L/minNebulizer 40 psi 40 psiCapillary voltage 4,500 V 4,500 VNozzle 1,500 V 1,500 VFragmentor voltage 250 V 250 VOct RF Vpp 750 V 750 VAcquisition parameters MS mode

High (10,000 m/z) mass range, Extended mass range (2 GHz),MS only mode,Mass Range 1,800–6,000 m/z

High (10,000 m/z) mass range, Extended mass range (2 GHz),MS only mode,Mass Range 800–4,000 m/z

Figure 1. Workfl ow of the DAR calculation of ADCs.

Sample preparation LC/MS DAR calculation

IntactDeglyco

ReducedGlyco

ReducedDeglyco

IntactGlyco

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or G0F/G2F, and G1F/G2F. For intact deglycosylated ADC, 10 peak groups were observed with mass matching D0–D9. All glycoforms observed in glycosylated ADC samples were eliminated, and the peak mass was reduced correspondingly. The peak intensities were increased about 2-fold compared to the intact ADCs.

than 1 minute with a mass envelope centered around 3,000 Da with charge states between +35 and +66. For intact glycosylated ADCs, nine peak groups were observed with masses matching D0–D8. The four major peaks observed in each peak group corresponds with glycoforms G0F/G0F, G0F/G1F, G1F/G1F

Figure 2 shows the overlaid total ion chromatograph (TIC), extracted spectra, and the deconvoluted spectra of intact glycosylated (Figure 2 panels A-C), and intact deglycosylated (Figure 2 panels D-F) ADCs of eight replicates. Both intact glycosylated and intact deglycosylated ADCs eluted in less

Figure 2. Total ion chromatograph, extracted spectra, and deconvoluted spectra of intact glycosylated (panels A-C) and intact deglycosylated (panels D-F) ADCs.

×108 ×108

0

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D

B E

C F

Acquisition time (min)

Mass-to-charge (m/z)

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0.20.40.60.81.01.21.41.61.8

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00.20.40.60.81.01.21.41.61.82.02.22.4

Deconvoluted mass (amu) Deconvoluted mass (amu)148,000 150,000 152,000 154,000 156,000

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Mass-to-charge (m/z)2,000 2,200 2,400 2,600 2,800 3,000 3,200 3,400 3,600 3,800 4,000

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The deconvoluted spectra were then analyzed in an Agilent MassHunter DAR calculator. Figure 3 shows a representative graph of the DAR calculation of intact glycosylated ADC. The DAR values calculated from eight replicates were 3.6 (%CV = 0) for the intact glycosylated ADCs and 3.88 (%CV = 1.1) for the intact deglycosylated ADCs.

Figure 3. Representative DAR calculation of intact glycosylated ADCs.

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and heavy chain charge states between +13 and +53. For light chain ADCs, four peak groups were observed (D0–D3) for both glycosylated and deglycosylated ADCs. The signal intensities are similar between the two conditions.

replicates. Both reduced glycosylated and reduced deglycosylated ADCs eluted in less than 1 minute with a mass envelope centered around 1,400 Da, with light chain charge states between +6 and +27

Figure 4 shows the overlaid TIC, extracted spectra, and the deconvoluted spectra of reduced glycosylated (Figure 4 panels A-D), and reduced deglycosylated (Figure 4 panels E-H) ADCs of eight

Figure 4. TIC, extracted spectra, and deconvoluted light and heavy chain spectra of reduced glycosylated (panels A-D) and reduced deglycosylated (panels E-H) ADCs.

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0.51.01.52.02.53.03.54.04.55.0 A

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7

calculator of reduced glycosylated ADCs. The DAR calculated eight replicates of reduced glycosylated and deglycosylated ADCs were 3.23 (%CV = 2.2), and 3.21 (%CV = 2.6), respectively. The DAR value calculated from the reduced ADC was slightly different from that of the intact ADC as reported previously2.

deglycosylated ADCs; a minor peak was also observed in each peak group representing ADCs with an extra linker. The peak intensities were also increased about 2-fold compared to the reduced glycosylated ADCs. The exported .csv fi les were processed by the Agilent DAR Calculator. Figure 5 shows a representative report from the DAR

For heavy chain ADCs, fi ve peak groups were observed for both glycosylated and deglycosylated ADCs (D0–D4). For each peak group, the four major peaks observed in the glycosylated ADCs represent G0, G0F, G1F, and G2F glycoforms. After deglycosylation, only one major peak was observed in each peak group representing fully

Figure 5. Representative report from the Agilent DAR calculator of reduced ADCs.

DAR Report

DAR Calculation Results

ADC InformationData File Reduced-001 Combined DAR 3.2Processing Method Reduced Heavy Chain DAR 1.1Report Time 9/30/2015 11:50 AM Light Chain DAR 0.5

Property Theoretical (Da) Observed (Da)Heavy Chain DAR 0 Mass Not Given 50594.1Light Chain DAR 0 Mass Not Given 23439.3Drug/Linker Mass Not Given 979.8

Heavy Chain Results

Deconvoluted Spectrum

DAR Peak ListDAR Peak Theoretical Mass

(Da)Observed Mass (Da) Area % Area

0 Not Given 50594.1 1.18E+006 33.891 Not Given 51552.1 1.14E+006 32.882 Not Given 52509.5 8.16E+005 23.503 Not Given 53629.8 2.98E+005 8.594 Not Given 54587.6 3.97E+004 1.14

Page 1 of 2

Light Chain Results

Deconvoluted Spectrum

DAR Peak ListDAR Peak Theoretical Mass

(Da)Observed Mass (Da) Area % Area

0 Not Given 23439.3 1.60E+006 64.751 Not Given 24396.9 5.32E+005 21.482 Not Given 25354.3 2.89E+005 11.673 Not Given 26311.5 5.21E+004 2.10

Page 2 of 2

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www.agilent.com/chem/bioconfi rm

For Research Use Only. Not for use in diagnostic procedures.

This information is subject to change without notice.

© Agilent Technologies, Inc., 2015Published in the USA, October 5, 20155991-6263EN

ConclusionTogether with the use of rapid PNGase F, automated sample preparation with the AssayMAP Bravo allows for rapid deglycosylation in a high-throughput manner (less than one hour). The user-friendly control software Protein Sample Prep Workbench and the precision of the AssayMAP Bravo platform enable easy and reproducible reduction and deglycosylation of ADC samples for DAR calculation. The Agilent 1290 Infi nity UHPLC/6550 Q-TOF mass spectrometer generates high resolution accurate mass spectra for accurate and straightforward DAR calculation with MassHunter/BioConfi rm/DAR Calculator software. The Agilent PLRP-S column delivers excellent peak shape in the formic acid mobile phase, enhancing sensitivity. Agilent’s automated robotics, LC/MS, software package, and consumables provide a complete solution for rapid, easy, accurate and reproducible DAR calculation of ADCs.

References1. Perez , H. L; et al. Antibody-drug

conjugates: current status and future directions. Drug Discovery Today 2014, 19(7), p.869-81.

2. Basa, L. Chapter: Drug-to-Antibody Ratio (DAR) and Drug Load Distribution by LC-ESI-MS. Antibody Drug Conjugates. Methods in Molecular Biology; L. Dury (Ed.); Humana Press: New York, 2013; 1045, pp 285-293.