Simple Summary The chemical complementarity of glioblastoma, tumor-resident T-cell receptors and cancer testis antigens were associated with a worse outcome. Additionally, the high expression of immune marker and low expression… Click to show full abstract
Simple Summary The chemical complementarity of glioblastoma, tumor-resident T-cell receptors and cancer testis antigens were associated with a worse outcome. Additionally, the high expression of immune marker and low expression of apoptosis genes were associated with a high T-cell receptor–cancer testis antigen chemical complementarity and a worse outcome. In sum, T-cell receptor recombination reads from exome files have the potential to aid in glioblastoma prognoses and may provide opportunities to detect unproductive immune responses. Abstract Introduction. Glioblastoma (GBM) is the most aggressive primary brain tumor in adults. Despite a growing understanding of glioblastoma pathology, the prognosis remains poor. Methods. In this study, we used a previously extensively benchmarked algorithm to retrieve immune receptor (IR) recombination reads from GBM exome files available from the cancer genome atlas. The T-cell receptor complementarity determining region-3 (CDR3) amino acid sequences that represent the IR recombination reads were assessed and used for the generation of chemical complementarity scores (CSs) that represent potential binding interactions with cancer testis antigens (CTAs), which is an approach particularly suited to a big data setting. Results. The electrostatic CSs representing the TRA and TRB CDR3s and the CTAs, SPAG9, GAGE12E, and GAGE12F, indicated that an increased electrostatic CS was associated with worse disease-free survival (DFS). We also assessed the RNA expression of immune marker genes, which indicated that a high-level expression of SPHK2 and CIITA genes also correlated with high CSs and worse DFS. Furthermore, apoptosis-related gene expression was revealed to be lower when the TCR CDR3-CTA electrostatic CSs were high. Conclusion. Adaptive IR recombination reads from exome files have the potential to aid in GBM prognoses and may provide opportunities to detect unproductive immune responses.
               
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