Q-omics provides the consensus-scored GAGE2E profile across patient tissues and cancer cell-line models. GAGE2E expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in UVM. Additionally, GAGE2E RNA expression shows 6,265 significant gene co-expression associations, with the highest sampling consensus in UCEC. Together, these results highlight UVM, and UCEC as cancer lineages where GAGE2E 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 GAGE2E — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GAGE2E survival associations across molecular data types. GAGE2E RNA expression shows survival associations in the most cancer types (9), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GAGE2E RNA expression–survival associations across cancer types. High GAGE2E expression shows unfavorable associations in UVM, KIRP, COAD, KIRC, LIHC and SKCM. The UVM 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 UVM as the clearest survival context for GAGE2E RNA expression.
This table shows molecular features associated with GAGE2E in patient tissues and cancer cell lines. In patient samples, GAGE2E shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, GAGE2E RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN.
