ArfGAP with GTPase domain, ankyrin repeat and PH domain 14, pseudogeneGenealiases: AGAP14 · CTGLF11P · bA145E20.1
Q-omics provides the consensus-scored AGAP14P profile across patient tissues and cancer cell-line models. AGAP14P expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, AGAP14P is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, AGAP14P RNA expression shows 11,175 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, HNSC, and UVM as cancer lineages where AGAP14P 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 AGAP14P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AGAP14P survival associations across molecular data types. AGAP14P RNA expression shows survival associations in the most cancer types (21), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AGAP14P RNA expression–survival associations across cancer types. High AGAP14P expression shows unfavorable associations in ACC, KIRC, UVM and THCA, but favorable associations in READ and SKCM. The ACC 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 ACC as the clearest survival context for AGAP14P RNA expression.
This table summarizes AGAP14P 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for AGAP14P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AGAP14P shows higher tumor expression in HNSC, LIHC, CHOL, LUSC, PRAD and KIRC. The HNSC box plot shows higher AGAP14P RNA expression in tumor versus normal tissue (log2 FC = +0.180, t-test p = .003).
This table shows molecular features associated with AGAP14P in patient tissues and cancer cell lines. In patient samples, AGAP14P shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
