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Aggregation of Antibody-Drug Conjugates: The Light ... · FFF-MALS yields high-resolution...

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www.crystal.csiro.au Aggregation of Antibody - Drug Conjugates: The Light Scattering Toolbox for Screening and Characterization Chris Broomell and Daniel Some , Wyatt Technology Corporation, 6300 Hollister Ave, Santa Barbara, CA 93117 Size Distributions by FFF-MALS scattered w I Mc Aggregation Analyses of Stressed and Unstressed ADCs by FFF-MALS Abstract Antibody-Drug Conjugates (ADCs) show much promise as effective therapeutics for cancer and other diseases. However, they often exhibit an increased aggregation propensity compared to their unmodified counterparts due to non-specific interactions arising from attached drug and linker moieties. Light scattering offers multiple techniques for addressing the challenges of formulation screening, and characterizing both aggregates and propensity for aggregation. We present these tools in the context of ADCs and the dependence of aggregation profiles on linker chemistry. © Wyatt Technology Corporation 2014 – All Rights Reserved Linker-Induced Instability Studied by DLS High-Throughput Dynamic Light Scattering Dynamic light scattering (DLS) analyzes Brownian motion via the intensity fluctuations of light scattered by macromolecules and nanoparticles in solution. DLS determines directly diffusion coefficients D t . Particle radius R h is calculated from the Stokes-Einstein equation: www.synaffix.com Identical mAb and drug, different linkers T onset = 63.9°C T onset = 48.6°C Protein stability is typically studied by temperature of melting (T M ) or onset of aggregation. ADC 2 unfolds and aggregates at a lower temperature, and is therefore less stable than ADC 1 . These data suggest distinct aggregation pathways. Typical Fractogram – Unstressed Sample Typical Fractogram – Stressed Sample Peak1 Peak 2 Peak 3 % M w % M w % Unstressed 0.75 148.4 97.75 231.5 1.5 Stressed 1.40 149.6 95.1 297.1 3.5 M w is determined by the ratio of light scattering signals to UV. Mass fraction is determined by integrating UV peaks. FFF- MALS is highly sensitive to small quantities of aggregates due to the dependence of scattered intensity on M w . 149.4 kDa (monomer) Higher-order species present in stressed sample ~339 kDa (average) * Small shoulder suggestive of fragmentation. This is present to some extent in all samples. * Peak 2 (Monomer) Peak 1 (Fragment) Peak 3 (Oligomer) Average M w and Mass Fraction (n=2) M w = 149.2 kDa from MALS Multi-angle, static light scattering (MALS) analyzes molar mass M w from first principles, via the average intensity of scattered light I and concentration c: ADC 1 ADC 2 ADC 2 ADC 1 DLS determines size distributions without fractionation, providing polydispersity estimates. High-throughput screening via the DynaPro® Plate Reader II is a powerful tool for characterizing multiple aspects of biotherapeutic stability: Degree and type of aggregation Thermal conformational stability (T M , T onset ) Chemical conformational stability Colloidal stability = 6 This analysis is independent of questionable reference standards and column calibration. In an Asymmetric-Flow FFF separation channel, macromolecules and nanoparticles are gently pushed against a semipermeable membrane by crossflow. Smaller particles diffuse back up towards the center of the channel. Laminar channel flow induces a parabolic flow velocity profile, causing smaller particles to elute earlier. ADC drug and linkers molecules are often hydrophobic, making them incompatible with fractionation via size-exclusion chromatography (SEC). Field flow fractionation (FFF) separates macromolecules and nanoparticles by size without a stationary phase, eliminating most of the non-ideal surface interactions prevalent in SEC. Coupling an Eclipse™ FFF device to a Wyatt DAWN® HELEOS® II MALS detector creates a versatile system for accurate and robust characterization of molar mass and size distributions from 1 nm to 1000 nm. SEC-MALS FFF-MALS CG-MALS DLS MP-PALS Molar Mass Size Charge Conjugation Interactions Conclusions High-throughput screening via the DLS Plate Reader is essential for assessing stability and aggregation of ADCs, and the impacts of linker chemistry on the onset of aggregation. FFF-MALS yields high-resolution characterization of aggregates, leading to a better understanding of the aggregation process. In a separate study, MALS-UV-RI analysis determined drug-antibody ratio (DAR). The light scattering toolkit contributes to complete characterization of ADCs, leading to an efficient and rapid development timeline. Temp (°C) 7.0 Radius (nm) 600 Time (min) 1.0x10 9 1.0x10 8 1.0x10 7 1.0x10 6 1.0x10 5 1.0x10 4 1000 100 10 1.0 0.1 0 Molar Mass 10.0 12.0 14.0 16.0 18.0 20.0 22.0 1.0x10 9 1.0x10 8 1.0x10 7 1.0x10 6 1.0x10 5 1.0x10 4 1000 100 10 1.0 0.1 0 Time (min) 10.0 15.0 20.0 25.0 1.0 0.5 0.0 Relative Scale Time (min) Molar Mass 10.0 12.0 14.0 16.0 18.0 20.0 22.0 Radius (nm) Temp (°C) % Intensity Radius (nm) 20 10 0 0.1 1.0 10.0 100.0 0 20.0 40.0 60.0 400 200 6.0 5.0 20.0 40.0 60.0
Transcript
Page 1: Aggregation of Antibody-Drug Conjugates: The Light ... · FFF-MALS yields high-resolution characterization of aggregates, leading to a better understanding of the aggregation process.

www.crystal.csiro.au

Aggregation of Antibody-Drug Conjugates: The Light

Scattering Toolbox for Screening and Characterization

Chris Broomell and Daniel Some, Wyatt Technology Corporation, 6300 Hollister Ave, Santa Barbara, CA 93117

Size Distributions by FFF-MALS

scattered wI M c

Aggregation Analyses of Stressed and Unstressed ADCs by FFF-MALS

Abstract

Antibody-Drug Conjugates (ADCs) show much promise as effective therapeutics for cancer

and other diseases. However, they often exhibit an increased aggregation propensity

compared to their unmodified counterparts due to non-specific interactions arising from

attached drug and linker moieties. Light scattering offers multiple techniques for

addressing the challenges of formulation screening, and characterizing both aggregates and

propensity for aggregation. We present these tools in the context of ADCs and the

dependence of aggregation profiles on linker chemistry.

© Wyatt Technology Corporation 2014 – All Rights Reserved

Linker-Induced Instability Studied by DLSHigh-Throughput Dynamic Light Scattering

Dynamic light scattering (DLS) analyzes Brownian motion via the

intensity fluctuations of light scattered by macromolecules and nanoparticles in solution.

DLS determines directly diffusion coefficients Dt. Particle radius Rh is calculated from the

Stokes-Einstein equation:

www.synaffix.com

Identical mAb and drug, different linkers

Tonset = 63.9°C Tonset = 48.6°C

Protein stability is typically studied by temperature of melting (TM)

or onset of aggregation. ADC2 unfolds and aggregates at a lower

temperature, and is therefore less stable than ADC1.

These data suggest distinct aggregation pathways.

Typical Fractogram –Unstressed Sample

Typical Fractogram –Stressed Sample

Peak1 Peak 2 Peak 3

% Mw % Mw %

Unstressed 0.75 148.4 97.75 231.5 1.5

Stressed 1.40 149.6 95.1 297.1 3.5

Mw is determined by the ratio of light

scattering signals to UV. Mass fraction is

determined by integrating UV peaks. FFF-

MALS is highly sensitive to small quantities

of aggregates due to the dependence of

scattered intensity on Mw.

149.4 kDa (monomer)

Higher-order species present instressed sample

~339 kDa (average)

* Small shoulder suggestive of fragmentation.This is present to some extent in all samples.

*

Peak 2 (Monomer)

Peak 1 (Fragment)

Peak 3 (Oligomer)

Average Mw and Mass Fraction (n=2)

Mw = 149.2 kDafrom MALS

Multi-angle, static light scattering (MALS) analyzes

molar mass Mw from first principles, via the average

intensity of scattered light I and concentration c:

ADC1

ADC2

ADC2ADC1

DLS determines size distributions without

fractionation, providing polydispersity estimates.

High-throughput screening via the DynaPro® Plate

Reader II is a powerful tool for characterizing multiple

aspects of biotherapeutic stability:

• Degree and type of aggregation

• Thermal conformational stability (TM, Tonset)

• Chemical conformational stability

• Colloidal stability

𝑅ℎ =𝑘𝑇

6𝜋𝜂𝐷𝑡

This analysis is independent of questionable

reference standards and column calibration.

In an Asymmetric-Flow FFF separation channel, macromolecules and nanoparticles are gently pushed against a semipermeable membrane by crossflow. Smaller particles diffuse back up towards the center of the channel. Laminar channel flow induces a parabolic flow velocity profile, causing smaller particles to elute earlier.

ADC drug and linkers molecules are often hydrophobic, making them incompatible with

fractionation via size-exclusion chromatography (SEC). Field flow fractionation (FFF)

separates macromolecules and nanoparticles by size without a stationary phase,

eliminating most of the non-ideal surface interactions prevalent in SEC.

Coupling an Eclipse™ FFF device to a Wyatt DAWN® HELEOS® II MALS detector creates a

versatile system for accurate and robust characterization of molar mass and size

distributions from 1 nm to 1000 nm.

SEC-MALS FFF-MALS CG-MALS DLS MP-PALS

Molar Mass Size Charge Conjugation Interactions

Conclusions

High-throughput screening via the DLS Plate Reader is essential for assessing stability and

aggregation of ADCs, and the impacts of linker chemistry on the onset of aggregation.

FFF-MALS yields high-resolution characterization of aggregates, leading to a better

understanding of the aggregation process.

In a separate study, MALS-UV-RI analysis determined drug-antibody ratio (DAR).

The light scattering toolkit contributes to complete characterization of ADCs, leading to

an efficient and rapid development timeline.

Temp (°C)

7.0

Rad

ius

(nm

)

600

Time (min)

1.0x109

1.0x108

1.0x107

1.0x106

1.0x105

1.0x104

1000

100

10

1.0

0.1

0

Mo

lar

Mas

s

10.0 12.0 14.0 16.0 18.0 20.0 22.0

1.0x109

1.0x108

1.0x107

1.0x106

1.0x105

1.0x104

1000

100

10

1.0

0.1

0

Time (min)

10.0 15.0 20.0 25.0

1.0

0.5

0.0

Re

lati

ve S

cale

Time (min)

Mo

lar

Mas

s

10.0 12.0 14.0 16.0 18.0 20.0 22.0

Rad

ius

(nm

)

Temp (°C)

% In

ten

sity

Radius (nm)

20

10

0

0.1 1.0 10.0 100.0

0

20.0 40.0 60.0

400

200

6.0

5.020.0 40.0 60.0

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