Ras related GTP binding AGenealiases: FIP-1 · FIP1 · RAGA
Q-omics provides the consensus-scored RRAGA profile across patient tissues and cancer cell-line models. RRAGA expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, RRAGA is differentially expressed in 14, with the highest sampling consensus in KICH. Additionally, RRAGA RNA expression shows 18,987 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, KICH, and UVM as cancer lineages where RRAGA 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 RRAGA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RRAGA survival associations across molecular data types. RRAGA RNA expression shows survival associations in the most cancer types (25), followed by mutation status (2) 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 RRAGA RNA expression–survival associations across cancer types. High RRAGA expression shows unfavorable associations in HNSC, UVM and LAML, but favorable associations in KIRC, LGG and LUAD. The HNSC 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 HNSC as the clearest survival context for RRAGA RNA expression.
This table summarizes RRAGA 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 4. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for RRAGA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RRAGA shows lower tumor expression in KICH, THCA, UCEC, LUSC and LUAD and higher tumor expression in LIHC. The KICH box plot shows higher RRAGA RNA expression in normal versus tumor tissue (log2 FC = −1.410, t-test p < 0.001).
This table shows molecular features associated with RRAGA in patient tissues and cancer cell lines. In patient samples, RRAGA shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, RRAGA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and UPPER_AERODIGESTIVE_TRACT.
