Bioanalytical Challenges due to Prior Checkpoint Inhibitor Exposure: Interference and Mitigation in Drug

Andrew F Dengler1, Rachel Weiss1, Tiffany Truong1

  • 1Regeneron Pharmaceuticals, Bioanalytical Sciences, 777 Old Saw Mill River Rd, Tarrytown, New York, 10591, USA.

The AAPS Journal
|October 5, 2021
PubMed

Insights

Previous anti-PD-1 therapies like pembrolizumab and nivolumab can interfere with immunoassays for cemiplimab. Bioanalytical strategies can mitigate this cross-reactivity, ensuring accurate drug quantification and immunogenicity assessment in oncology patients.

Area of Science:

  • Biotechnology
  • Immunology
  • Oncology

Background:

  • Monoclonal antibodies (mAbs) are crucial biotherapeutics in oncology.
  • Patients may receive sequential anti-PD-1 therapies, leading to potential assay interference.
  • Assessing drug concentration and immunogenicity requires robust bioanalytical methods.

Purpose of the Study:

  • To evaluate the impact of prior anti-PD-1 mAbs (pembrolizumab, nivolumab) on immunoassays for cemiplimab.
  • To test bioanalytical strategies for mitigating cross-reactivity and interference.

Main Methods:

  • Tested pembrolizumab and nivolumab in cemiplimab drug concentration, anti-drug antibody (ADA), and neutralizing antibody (NAb) assays.
  • Employed target-capture, bridging, and competitive ligand-binding assay formats.
  • Investigated mitigation strategies including addition of specific antibodies.

Main Results:

  • Pembrolizumab and nivolumab showed cross-reactivity in the cemiplimab drug concentration assay, which was mitigated.
  • Anti-drug antibodies against pembrolizumab and nivolumab did not interfere with the cemiplimab ADA assay.
  • Pembrolizumab and nivolumab caused false-positive results in a target-capture NAb assay.

Conclusions:

  • Exogenous anti-PD-1 mAbs can be detected and quantified but may interfere with specific immunoassays.
  • Bioanalytical challenges arise from class-specific biotherapeutics in sequential treatments.
  • Careful assay design and validation are critical for reliable results in immuno-oncology.

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