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Integrating autoantibody data with other clinical and molecular markers can enhance risk prediction models and facilitate personalized treatment.
REQUEST INFOAutoantibodies can play a role in predicting patient response to treatment. Combining multiple autoantibodies into biomarker panels or signatures can improve the accuracy of stratification and predict both treatment response and immune-related adverse events (irAEs). Integrating autoantibody data with other clinical and molecular markers can enhance risk prediction models and facilitate personalized treatment approaches.
In the featured publication below, HuProt™ microarray was used to identify autoantibody signatures that have the potential to predict both disease recurrence and immune-related adverse events in melanoma patients treated with checkpoint inhibitor adjuvant immunotherapy.
Purpose
Adjuvant immunotherapy produces durable benefit for patients with resected melanoma, but many develop recurrence and/or immune-related adverse events (irAE). We investigated whether baseline serum autoantibody (autoAb) signatures predicted recurrence and severe toxicity in patients treated with adjuvant nivolumab, ipilimumab, or ipilimumab plus nivolumab.
VIEW PAPEROne 20 μL per sample
10 μg per sample (concentration 0.1 mg/mL)
Minimum 1.5 mL per sample
10 μg per sample (concentration 0.1 mg/mL)
1 mL per sample (concentration 2 μM)