RAB14, member RAS oncogene familyGenealiases: FBP · RAB-14
Q-omics provides the consensus-scored RAB14 profile across patient tissues and cancer cell-line models. RAB14 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RAB14 is differentially expressed in 11, with the highest sampling consensus in LUAD. Additionally, RAB14 RNA expression shows 19,762 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LUAD as cancer lineages where RAB14 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 RAB14 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RAB14 survival associations across molecular data types. RAB14 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (6) 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 RAB14 RNA expression–survival associations across cancer types. High RAB14 expression shows unfavorable associations in ACC, HNSC, PAAD, UVM and BRCA, but favorable associations in KIRC. 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 RAB14 RNA expression.
This table summarizes RAB14 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for RAB14. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RAB14 shows lower tumor expression in LUAD, KIRC and KICH and higher tumor expression in HNSC, STAD and BRCA. The LUAD box plot shows higher RAB14 RNA expression in normal versus tumor tissue (log2 FC = −0.761, t-test p < 0.001).
This table shows molecular features associated with RAB14 in patient tissues and cancer cell lines. In patient samples, RAB14 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, RAB14 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Lymphoma.
