ras homolog family member F, filopodia associatedGenealiases: ARHF · RIF
Q-omics provides the consensus-scored RHOF profile across patient tissues and cancer cell-line models. RHOF expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RHOF is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, RHOF protein abundance shows 20,469 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight UVM, KIRC, and LSCC as cancer lineages where RHOF 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 RHOF — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RHOF survival associations across molecular data types. RHOF RNA expression shows survival associations in the most cancer types (26), followed by mutation status (2) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RHOF RNA expression–survival associations across cancer types. High RHOF expression shows unfavorable associations in UVM, ACC, LUAD and PAAD, but favorable associations in HNSC and SKCM. The UVM 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 UVM as the clearest survival context for RHOF RNA expression.
This table summarizes RHOF 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 6. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for RHOF. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RHOF shows lower tumor expression in KIRC, COAD and READ and higher tumor expression in HNSC, LIHC and BRCA. The KIRC box plot shows higher RHOF RNA expression in normal versus tumor tissue (log2 FC = −0.519, t-test p < 0.001).
This table shows molecular features associated with RHOF in patient tissues and cancer cell lines. In patient samples, RHOF 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, RHOF 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 KIDNEY and BONE.
