Abstract
The evaluation of physicochemical characteristics of extensive adaptive immune receptor (IR) recombination sequence collections has led to the discovery of many correlations of those sequences and a variety of diseases, including cancer. In the cancer setting, these evaluations have recently focused on the adaptive IR, complementarity determining region-3 (CDR3) amino acid (AA) sequences, which play a major role in antigen binding. For example, the chemical complementarities of the tumor resident, CDR3 AA sequences and the BRAFV600E mutant, common in melanoma, have proved informative with regard to outcomes. Many of these evaluations led to the conclusion that a high affinity match, efficiently, algorithmically designated as a high chemical complementarity score (CS) for the patient specific, IR CDR3 AA sequences and the cancer antigens, correlated with improved survival outcomes. In this report, the complementarity scoring algorithms were used to investigate the opposite phenomenon, high complementarity chemistry between CRD3 AAs and cancer antigens that correlated with a worse survival, an approach that revealed potential risk stratification biomarkers for lung adenocarcinoma, lung squamous carcinoma, and likely other cancer types. Most importantly, analyses suggested that high IR CDR3 AA-candidate antigen CS, low overall survival results for low grade glioma were mitigated by neoadjuvant corticosteroid treatments. Overall, the analyses of this report, coupled with earlier work establishing the CS approach for identifying likely good outcomes, have the potential to distinguish patients who will benefit from (i) immune activating or (ii) immune augmenting or (iii) even immunosuppressive treatment strategies. Communicated by Ramaswamy H. Sarma
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