Figure 2.

Integrated multiomics data towarddiscovery of potential clinically relevant biomarkers and targeted therapeutics

Oncoproteogenomics concerns genomics and transcriptomics data from tumor samples, which is used for generating customized databases, to support protein annotation. The inclusion of glycomics information in the workflow allows more effective protein identification by MS/MS, including glycosylation site mapping, illustrating its value to gain insight on molecular information that cannot be achieved by the other omics toward precision oncology. Overall oncoproteogenomics is supported by several bioinformatics tools, which also contributes for identification of more suitable antigens toward cancer vaccines. WGS, whole-genome sequencing; SNV, single-nucleotide variant; indel, insertion and deletion; MS/MS, tandem mass spectrometry; HexNAc, N-acetylhexosamine; Hex, hexose.