Development of a Mammalian Cell Line for Stable Production of Anti-PD-1

Erika Csató-Kovács1,2, Pál Salamon1,2,3, Szilvia Fikó-Lászlo3

  • 1Department of Bioengineering, Faculty of Economics, Socio-Human Sciences and Engineering, Sapientia Hungarian University of Transylvania, 1 Libertatii Sq, 530104 Miercurea Ciuc, Romania.

PubMed

Insights

This study developed a stable Chinese Hamster Ovary (CHO) DG44 cell expression system for Nivolumab-based anti-programmed cell death 1 (PD-1) antibody production. Signal sequences and optimized conditions significantly impacted antibody yield for cancer immunotherapy.

Area of Science:

  • Biotechnology
  • Immunology
  • Oncology

Background:

  • Immune checkpoint blockade, targeting programmed cell death 1 (PD-1), is a key cancer immunotherapy strategy.
  • Tumors evade immune responses by exploiting the PD-1/PD-L1/PD-L2 interaction.
  • Monoclonal antibodies like Nivolumab can restore anti-tumor immunity by blocking this interaction.

Purpose of the Study:

  • To establish a stable Chinese Hamster Ovary (CHO) DG44 cell expression system for Nivolumab-based anti-PD-1 antibody.
  • To evaluate two distinct expression vector systems (pOptiVEC and pcDNA3.3) with varied signal sequences for antibody production.

Main Methods:

  • Cloning of Nivolumab heavy and light chains into pOptiVEC and pcDNA3.3 vectors, each with two signal sequences.
  • Co-transfection of eight resulting recombinant plasmids into CHO DG44 cells for stable expression assessment.
  • Optimization of production conditions to enhance antibody yield.

Main Results:

  • Both pOptiVEC and pcDNA3.3 vectors facilitated stable integration and expression of the anti-PD-1 antibody in CHO DG44 cells.
  • The selection of signal sequences critically influenced the quantity of antibodies produced.
  • Optimized production conditions led to increased antibody yield, demonstrating scalability potential.

Conclusions:

  • pOptiVEC and pcDNA3.3 expression systems are effective for stable Nivolumab-based anti-PD-1 production in CHO DG44 cells.
  • Signal sequences are crucial determinants of antibody expression levels.
  • Further optimization can enhance yield for future cancer immunotherapy applications.