TIR domain containing adaptor proteinGenealiases: BACTS1 · Mal · MyD88-2 · wyatt
Q-omics provides the consensus-scored TIRAP profile across patient tissues and cancer cell-line models. TIRAP expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, TIRAP is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, TIRAP RNA expression shows 20,672 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, THCA, and ACC as cancer lineages where TIRAP 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 TIRAP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TIRAP survival associations across molecular data types. TIRAP RNA expression shows survival associations in the most cancer types (22), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TIRAP RNA expression–survival associations across cancer types. High TIRAP expression shows unfavorable associations in UVM, LUAD and BLCA, but favorable associations in KIRC, STAD and HNSC. The KIRC 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 KIRC as the clearest survival context for TIRAP RNA expression.
This table summarizes TIRAP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 3. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for TIRAP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TIRAP shows lower tumor expression in THCA, KICH and UCEC and higher tumor expression in LIHC, HNSC and CHOL. The THCA box plot shows higher TIRAP RNA expression in normal versus tumor tissue (log2 FC = −0.348, t-test p < 0.001).
This table shows molecular features associated with TIRAP in patient tissues and cancer cell lines. In patient samples, TIRAP shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, TIRAP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and UPPER_AERODIGESTIVE_TRACT.
