Insights beyond genes
Complement genomic data with protein measurements reflecting dynamic cancer processes such as immune activity, inflammation, and beyond.
Key challenges
Key challenges in oncology research
While genomic data can identify mutations and other molecular alterations that predict probable cancer outcomes, genomics alone fails to capture the true dynamic nature of this disease. Proteomics adds functional insights to oncology research, but adoption has been historically limited by concerns around workflow complexity, reproducibility, and analytical performance.
You need tools that support:
- Functional protein insight beyond genomic alterations
- Sensitivity across a broad range of protein abundances
- Reproducible data across studies and sites
- Compatibility with liquid biopsy
- Practical integration into translational and clinical research workflows
