Csató-Kovács Erika, Salamon Pál, Fikó-Lászlo Szilvia, Kovács Krisztina, Koka Alice, András-Korodi Mónika, Antal Emőke, Brumă Emília, Tőrsők Brigitta, Gudor Szilárd, Miklóssy Ildikó, Orbán Kálmán Csongor, Albert Csilla, Bálint Emese Éva, Albert Beáta
Department of Bioengineering, Faculty of Economics, Socio-Human Sciences and Engineering, Sapientia Hungarian University of Transylvania, 1 Libertatii Sq, 530104 Miercurea Ciuc, Romania.
Corax-Bioner CEU S.A., 1 Miko Str., et. 1, Cam. 100, 530174 Miercurea Ciuc, Romania.
Antibodies (Basel). 2024 Oct 3;13(4):82. doi: 10.3390/antib13040082.
Immune checkpoint blockade, particularly targeting the programmed cell death 1 (PD-1) receptor, is a promising strategy in cancer immunotherapy. The interaction between PD-1 and its ligands, PD-L1 and PD-L2, is crucial in immune evasion by tumors. Blocking this interaction with monoclonal antibodies like Nivolumab can restore anti-tumor immunity. This study aims to develop a stable expression system for Nivolumab-based anti-PD-1 in the Chinese Hamster Ovary (CHO) DG44 cell line using two different expression vector systems with various signal sequences. The heavy chain (HC) and light chain (LC) of Nivolumab were cloned into two expression vectors, pOptiVEC and pcDNA3.3. Each vector was engineered with two distinct signal sequences, resulting in the creation of eight recombinant plasmids. These plasmids were co-transfected into CHO DG44 cells in different combinations, allowing for the assessment of stable antibody production. Both pOptiVEC and pcDNA3.3 vectors were successful in stably integrating and expressing the Nivolumab-based anti-PD-1 antibody in CHO DG44 cells. This study found that the choice of signal sequence significantly influenced the quantity of antibodies produced. The optimization of production conditions further enhanced antibody yield, indicating the potential for large-scale production. This study demonstrates that both pOptiVEC and pcDNA3.3 expression systems are effective for the stable production of Nivolumab-based anti-PD-1 in CHO DG44 cells. Signal sequences play a critical role in determining the expression levels, and optimizing production conditions can further increase antibody yield, supporting future applications in cancer immunotherapy.
免疫检查点阻断,特别是针对程序性细胞死亡1(PD-1)受体,是癌症免疫治疗中一种很有前景的策略。PD-1与其配体PD-L1和PD-L2之间的相互作用在肿瘤免疫逃逸中至关重要。用纳武单抗等单克隆抗体阻断这种相互作用可以恢复抗肿瘤免疫力。本研究旨在利用两种带有不同信号序列的不同表达载体系统,在中国仓鼠卵巢(CHO)DG44细胞系中开发一种基于纳武单抗的抗PD-1稳定表达系统。将纳武单抗的重链(HC)和轻链(LC)克隆到两个表达载体pOptiVEC和pcDNA3.3中。每个载体都设计有两种不同的信号序列,从而产生了八个重组质粒。这些质粒以不同组合共转染到CHO DG44细胞中,以便评估抗体的稳定产生情况。pOptiVEC和pcDNA3.3载体都成功地在CHO DG44细胞中稳定整合并表达了基于纳武单抗的抗PD-1抗体。本研究发现信号序列的选择显著影响抗体产生量。生产条件的优化进一步提高了抗体产量,表明了大规模生产的潜力。本研究表明, pOptiVEC和pcDNA3.3表达系统对于在CHO DG44细胞中稳定生产基于纳武单抗的抗PD-1均有效。信号序列在决定表达水平方面起着关键作用,优化生产条件可以进一步提高抗体产量,为未来在癌症免疫治疗中的应用提供了支持。