Epitope discovery of tumor antigen and mutant proteins has enabled a better
application of T-cell immunotherapy. Genomic profiles analyzed by genomic
expression and single nucleotide polymorphisms (SNP) by genome-wide association
studies (GWAS) are an essential fundamental to screen and define T-cell therapeutic
targets. To determine tumor antigens or mutant proteins related to T-cell targets with
their TCR or CAR reconstruction, we will introduce the SNP technique related to
primary tumor cells for personalized T-cell immunotherapy, including global and local
SNP detection of the therapeutic targets. Moreover, the use of mRNA genomic
expression can discover gene expression signature and further uncover tumorassociated
antigen (TAA) or tumor-specific antigen (TSA) for T-cell immunotherapy.
Accompany with the ongoing development of next-generation sequencing, epitope
discovery of tumor neoantigen and mutant proteins will be irreplaceable for a novel
generation of T-cell adoptive immunotherapy. System biology, which is a
mathematical modeling of complex biological systems,can integrate data of SNP
signature and genomic expression signature. Thus, a new bioinformatics platform with
the analysis of GWAS and genomic expression profile along with system modeling is
an essential fundamental for T-cell adoptive immunotherapy.
Keywords: And system modeling, Genome-wide association studies (GWAS),
gene expression signature (GES), Networks, Proteomics, Single nucleotide
polymorphisms (SNP), System biology, T-cell adoptive immunotherapy,
Therapeutic targeting, Transcriptome.
