Q-omics provides the consensus-scored AIRE profile across patient tissues and cancer cell-line models. AIRE expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, AIRE is differentially expressed in 6, with the highest sampling consensus in KICH. Additionally, AIRE RNA expression shows 13,562 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, KICH, and UVM as cancer lineages where AIRE 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 AIRE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AIRE survival associations across molecular data types. AIRE RNA expression shows survival associations in the most cancer types (21), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AIRE RNA expression–survival associations across cancer types. High AIRE expression shows unfavorable associations in KIRC, ACC, OV and STAD, but favorable associations in SKCM and BLCA. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for AIRE RNA expression.
This table summarizes AIRE tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for AIRE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AIRE shows lower tumor expression in KICH and KIRP and higher tumor expression in CHOL, COAD, LIHC and LUAD. The KICH box plot shows higher AIRE RNA expression in normal versus tumor tissue (log2 FC = −0.118, t-test p < 0.001).
This table shows molecular features associated with AIRE in patient tissues and cancer cell lines. In patient samples, AIRE shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, AIRE RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and LARGE_INTESTINE.
