Q-omics provides the consensus-scored RAB13 profile across patient tissues and cancer cell-line models. RAB13 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, RAB13 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, RAB13 RNA expression shows 18,634 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, HNSC, and UVM as cancer lineages where RAB13 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 RAB13 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RAB13 survival associations across molecular data types. RAB13 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RAB13 RNA expression–survival associations across cancer types. High RAB13 expression shows unfavorable associations in ACC, KIRP, LGG, LIHC, LUAD and UVM. 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 RAB13 RNA expression.
This table summarizes RAB13 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RAB13. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RAB13 shows higher tumor expression in HNSC, LIHC, STAD, KIRC, BRCA and LUAD. The HNSC box plot shows higher RAB13 RNA expression in tumor versus normal tissue (log2 FC = +0.582, t-test p < 0.001).
This table shows molecular features associated with RAB13 in patient tissues and cancer cell lines. In patient samples, RAB13 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, RAB13 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Leukemia.
