Q-omics provides the consensus-scored GK2 profile across patient tissues and cancer cell-line models. GK2 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, GK2 is differentially expressed in 1, with the highest sampling consensus in KIRP. Additionally, GK2 RNA expression shows 6,304 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight UCS, KIRP, and STAD as cancer lineages where GK2 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 GK2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GK2 survival associations across molecular data types. GK2 RNA expression shows survival associations in the most cancer types (13), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GK2 RNA expression–survival associations across cancer types. High GK2 expression shows unfavorable associations in UCS, COAD, PCPG, LIHC and LUSC, but favorable associations in LGG. The UCS 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 UCS as the clearest survival context for GK2 RNA expression.
This table summarizes GK2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for GK2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GK2 shows lower tumor expression in KIRP. The KIRP box plot shows higher GK2 RNA expression in normal versus tumor tissue (log2 FC = −0.008, t-test p = .020).
This table shows molecular features associated with GK2 in patient tissues and cancer cell lines. In patient samples, GK2 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, GK2 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 KIDNEY and LARGE_INTESTINE.
