ArfGAP with GTPase domain, ankyrin repeat and PH domain 10, pseudogeneGenealiases: AGAP10 · CTGLF10P · CTGLF7 · bA144G6.2 · bA358L16.1
Q-omics provides the consensus-scored AGAP10P profile across patient tissues and cancer cell-line models. AGAP10P expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, AGAP10P is differentially expressed in 8, with the highest sampling consensus in KICH. Additionally, AGAP10P RNA expression shows 14,694 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, KICH, and UVM as cancer lineages where AGAP10P 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 AGAP10P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AGAP10P survival associations across molecular data types. AGAP10P RNA expression shows survival associations in the most cancer types (25), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AGAP10P RNA expression–survival associations across cancer types. High AGAP10P expression shows unfavorable associations in KIRC and COAD, but favorable associations in BLCA, UCS, SKCM and ESCA. 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 AGAP10P RNA expression.
This table summarizes AGAP10P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for AGAP10P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AGAP10P shows lower tumor expression in KICH, BRCA, UCEC and COAD and higher tumor expression in LIHC and CHOL. The KICH box plot shows higher AGAP10P RNA expression in normal versus tumor tissue (log2 FC = −0.233, t-test p < 0.001).
This table shows molecular features associated with AGAP10P in patient tissues and cancer cell lines. In patient samples, AGAP10P shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
