Evaluation of the Physicochemical and Biological Stability of Cetuximab under Various Stress Condition
Bibliographic record
Abstract
Cetuximab is a chimeric monoclonal antibody against epidermal growth factor receptor (EGFR) and it is approved for treatment of human colorectal cancer and squamous cell carcinoma of head and neck. The aim of this research was to study the stability of cetuximab finish product (5 mg/mL) under various stress conditions including mechanical, thermal, light stress, and various freeze-thaw cycles. To determine the effects of environmental stresses on the physicochemical properties and bioactivity of cetuximab, a combination of physicochemical and cell-based biological methods including size exclusion chromatography (SEC), cation exchange chromatography (CEX), flow cytometry-based binding assay, and MTS cell viability/proliferation assay was used. The results obtained by the SEC and CEX methods revealed that incubation of cetuximab at 25 and 30 °C, shaking, and various freeze-thaw cycles caused no physicochemical instability. However, functional analysis of the samples exposed to the above-mentioned conditions revealed a significant decrease in the bioactivity of cetuximab indicated by a significant reduction in the cell binding and growth inhibitory effects of cetuximab in EGFR overexpressing cancer cell line (A431). Incubation of cetuximab at 40 and 50 °C led to polymerization and fragmentation of the mAb and resulted in a significant decrease in the bioactivity of the mAb. Our findings show that the light exposure had the most destructive effects on physicochemical and biological characteristics of cetuximab. In conclusion, we found that all mentioned stress conditions significantly affect the bioactivity of cetuximab. Our finding highlights the importance of bioactivity evaluation of biopharmaceuticals in their quality control assessment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".