Roger Appelqvist

The paper develops an automated FFPE deparaffinization workflow to improve protein yield and reproducibility in melanoma studies.

This study integrates digital pathology and proteomics to analyze metastatic mucinous colorectal carcinoma, revealing immune evasion and chemoresistance mechanisms through spatial multi-omics data.

This study integrates histopathology and proteogenomic data from melanoma metastases to identify subtypes and risk factors, offering a basis for personalized treatment strategies.

This paper identifies potential drug targets and predicts treatment efficacy and resistance in melanoma subtypes using proteogenomic data and drug sensitivity analysis.

The paper identifies six proteins that predict response to immune checkpoint therapy across three melanoma cohorts and correlate with patient survival.