Rho GTPase activating protein 6Genealiases: RHOGAP6 · RHOGAPX-1
Q-omics provides the consensus-scored ARHGAP6 profile across patient tissues and cancer cell-line models. ARHGAP6 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, ARHGAP6 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, ARHGAP6 protein abundance shows 26,662 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, and LSCC as cancer lineages where ARHGAP6 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 ARHGAP6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ARHGAP6 survival associations across molecular data types. ARHGAP6 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (7) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ARHGAP6 RNA expression–survival associations across cancer types. High ARHGAP6 expression shows unfavorable associations in UVM, STAD and LUSC, but favorable associations in KIRC, HNSC and SKCM. 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 ARHGAP6 RNA expression.
This table summarizes ARHGAP6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ARHGAP6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ARHGAP6 shows lower tumor expression in KIRC, BLCA, LUAD, THCA, LUSC and HNSC. The KIRC box plot shows higher ARHGAP6 RNA expression in normal versus tumor tissue (log2 FC = −0.694, t-test p < 0.001).
This table shows molecular features associated with ARHGAP6 in patient tissues and cancer cell lines. In patient samples, ARHGAP6 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, ARHGAP6 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and SOFT_TISSUE.
