Q-omics provides the consensus-scored TRBV23-1 profile across patient tissues and cancer cell-line models. TRBV23-1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, TRBV23-1 is differentially expressed in 5, with the highest sampling consensus in KIRC. Additionally, TRBV23-1 RNA expression shows 15,032 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, KIRC, and LSCC as cancer lineages where TRBV23-1 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for TRBV23-1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TRBV23-1 survival associations across molecular data types. TRBV23-1 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TRBV23-1 RNA expression–survival associations across cancer types. High TRBV23-1 expression shows unfavorable associations in LGG, but favorable associations in HNSC, SKCM, LUAD, OV and BRCA. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify HNSC as the clearest survival context for TRBV23-1 RNA expression.
This table summarizes TRBV23-1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for TRBV23-1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TRBV23-1 shows lower tumor expression in BLCA and THCA and higher tumor expression in KIRC, LUAD and STAD. The KIRC box plot shows higher TRBV23-1 RNA expression in tumor versus normal tissue (log2 FC = +0.325, t-test p < 0.001).
This table shows molecular features associated with TRBV23-1 in patient tissues and cancer cell lines. In patient samples, TRBV23-1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
