adaptor related protein complex 1 associated regulatory proteinGenealiases: 2C18 · C4orf16 · GBAR · PRO0971 · gamma-BAR
Q-omics provides the consensus-scored AP1AR profile across patient tissues and cancer cell-line models. AP1AR expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, AP1AR is differentially expressed in 13, with the highest sampling consensus in STAD. Additionally, AP1AR RNA expression shows 20,039 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, STAD, and ACC as cancer lineages where AP1AR 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 AP1AR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AP1AR survival associations across molecular data types. AP1AR RNA expression shows survival associations in the most cancer types (27), followed by mutation status (3) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AP1AR RNA expression–survival associations across cancer types. High AP1AR expression shows unfavorable associations in LUAD, UVM, CESC and THCA, but favorable associations in KIRC and BRCA. 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 AP1AR RNA expression.
This table summarizes AP1AR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 2. The strongest signals are observed in STAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for AP1AR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AP1AR shows lower tumor expression in THCA and higher tumor expression in STAD, BRCA, LUSC, CHOL and HNSC. The STAD box plot shows higher AP1AR RNA expression in tumor versus normal tissue (log2 FC = +0.965, t-test p < 0.001).
This table shows molecular features associated with AP1AR in patient tissues and cancer cell lines. In patient samples, AP1AR 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, AP1AR 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 BREAST and BLOOD_Leukemia.
