Functional proteomics, such as protein expression, represents a powerful approach that can rapidly improve our understanding of the pathophysiology and treatment of cancer. In GPIP (Genetic, Pharmacogenomic, and Immune landscapes of cancer Proteins), we systematically investigated impact of genetic variants in protein expression using protein quantitative trait, patient overall survival means. We also identified associations between protein expression and pharmacogenomic and immune infiltration across human cancers.

• In GPIP, users can:
  • Browse or search proteins or SNPs to find protein-QTLs across human cancers;
  • Browse or search protein-QTLs associated with patient overall survival across human cancers;
  • Browse or search association between proteins and drug response across human cancers;
  • Browse or search association between proteins and different types of immune cell abundance across human cancers;