Q-omics provides the consensus-scored GK profile across patient tissues and cancer cell-line models. GK expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GK is differentially expressed in 11, with the highest sampling consensus in KIRP. Additionally, GK RNA expression shows 19,400 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, KIRP, and UVM as cancer lineages where GK 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 GK — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GK survival associations across molecular data types. GK RNA expression shows survival associations in the most cancer types (27), followed by mutation status (5) 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 GK RNA expression–survival associations across cancer types. High GK expression shows unfavorable associations in ESCA, LGG and LUAD, but favorable associations in KIRC, HNSC and KIRP. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for GK RNA expression.
This table summarizes GK 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 3. The strongest signals are observed in KIRP for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for GK. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GK shows lower tumor expression in KIRP, THCA, KIRC and LUSC and higher tumor expression in STAD and BRCA. The KIRP box plot shows higher GK RNA expression in normal versus tumor tissue (log2 FC = −1.419, t-test p < 0.001).
This table shows molecular features associated with GK in patient tissues and cancer cell lines. In patient samples, GK 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, GK RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and SKIN.
