MOK protein kinaseGenealiases: RAGE · RAGE-1 · RAGE1 · STK30
Q-omics provides the consensus-scored MOK profile across patient tissues and cancer cell-line models. MOK 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, MOK is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, MOK RNA expression shows 19,771 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and THCA as cancer lineages where MOK 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 MOK — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MOK survival associations across molecular data types. MOK RNA expression shows survival associations in the most cancer types (21), followed by mutation status (6) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MOK RNA expression–survival associations across cancer types. High MOK expression shows unfavorable associations in ACC, KICH, LGG, BLCA and PRAD, but favorable associations in BRCA. 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 MOK RNA expression.
This table summarizes MOK 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 THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for MOK. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MOK shows lower tumor expression in THCA and KICH and higher tumor expression in COAD, HNSC, LIHC and CHOL. The THCA box plot shows higher MOK RNA expression in normal versus tumor tissue (log2 FC = −1.095, t-test p < 0.001).
This table shows molecular features associated with MOK in patient tissues and cancer cell lines. In patient samples, MOK 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, MOK RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in CNS and SOFT_TISSUE.
