Evaluation of physicochemical and functional similarity of a new CHO derived anti-EGFR antibody P-mAb to its reference medicinal product.
Jitender NandalKanti N MihooliyaHimanshu VermaNidhi KalidasFnu AshishRavi P N MishraDebendra K SahooPublished in: Artificial cells, nanomedicine, and biotechnology (2022)
Epidermal growth factor receptor (EGFR) is the primary target for the treatment of colorectal cancer, the third most diagnosed cancer worldwide. In recent years, regulatory changes have facilitated the approval of biosimilars aimed to bring more access to biologics to patients. However, it has also expended the requirements of non-clinical characterisation data using state-of-the-art and orthogonal methodologies to demonstrate similarity between proposed biologic and its reference medicinal product (RMP). The current study was aimed to develop a stable CHO-S cell line producing panitumumab biosimilar candidate, P-mAb, a fully human IgG2 anti-EGFR monoclonal antibody and assess its physicochemical and functional similarity with RMP, Vectibix. The single-cell clone from stably transfected CHO-S cell pools was used for the production of P-mAb. This was followed by purification and comparative physicochemical and biological characterisation of P-mAb and RMP using SDS-PAGE, LC/MS, MALDI, MS/MS, CD spectrometry, DSF, SAXS, ITF, MTT assay and binding affinity. SAXS and MST assays are being used for first time in biosimilarity analysis of therapeutic monoclonal antibody. The results of structural and functional analysis of anti-EGFR P-mAb, produced by stable CHO-S cell line revealed high similarity between P-mAb and RMP, vectibix, thus providing the scientific basis of its potential for therapeutic applications.
Keyphrases
- monoclonal antibody
- epidermal growth factor receptor
- tyrosine kinase
- single cell
- advanced non small cell lung cancer
- small cell lung cancer
- high throughput
- ms ms
- end stage renal disease
- rna seq
- endothelial cells
- rheumatoid arthritis
- chronic kidney disease
- ejection fraction
- newly diagnosed
- mass spectrometry
- squamous cell carcinoma
- transcription factor
- high resolution
- prognostic factors
- stem cells
- machine learning
- electronic health record
- liquid chromatography tandem mass spectrometry
- binding protein
- dna binding
- mesenchymal stem cells
- artificial intelligence
- metastatic colorectal cancer
- combination therapy
- simultaneous determination
- induced pluripotent stem cells
- replacement therapy