Data mining for tumor-specific antigens and neoantigens

This module identifies potential immunotherapy targets by analyzing 878 cell surface genes.

It compares protein abundance (via mass spectrometry) and RNA expression between tumor and matched normal tissues to highlight tumor-enriched antigens.

It also evaluates associations between antigen expression and drug responses across cancer cell lines to uncover clinically actionable targets.

In addition, the module assesses potential neoantigens by comparing the abundance of mutant versus wild-type proteins in patient samples, or by evaluating differences in mutant protein levels between tumor and normal tissues.


   Focused data mining for a total of 878 cell surface genes as potential antigens

1) Comparative analysis of protein (or RNA) abundance between tumor and normal paired patient samples

2) Association of protein (or RNA) abundance with drug response in cell line samples




Focused data mining for neoantigen expression by analyzing wild type vs mutant patient samples