Aggregation of Antibody-Drug Conjugates: The Light ...... Aggregation of Antibody-Drug Conjugates:...

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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 of Aggregation of Antibody-Drug Conjugates: The Light ...... Aggregation of Antibody-Drug Conjugates:...

  • 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