Neoantigen therapy for the treatment of cancer works on the principle of employing the immune system to detect and eradicate particular antigens found in somatic mutations and tumors. The mechanism of these antibodies is through immunotherapy, where neoantigens from the major histocompatibility complex family of genes are important for the activation of CD8+ T cells in recognizing and responding to these neoantigens. This starts with dendritic cells presenting neoantigens to T cells for their activation. Today, the identification of neoantigens often calls for the application of bioinformatics pipelines that rely on data from genomics, transcriptomics, and proteomics to predict immunogenic peptides. These include all datasets, sequence calls, and immunogenicity predictions towards identifying vaccine targets. These include anti-cancer drugs, including vaccines that target existing tumors and vaccines that are tailored to the specific characteristics of each tumor; all of these approaches, including the development of improved neoantigen prediction algorithms, provide a promising approach for developing personalized cancer immunotherapy.
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