Q-omics provides the consensus-scored GAGE10 profile across patient tissues and cancer cell-line models. GAGE10 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GAGE10 is differentially expressed in 6, with the highest sampling consensus in UCEC. Additionally, GAGE10 RNA expression shows 11,543 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, UCEC, and UVM as cancer lineages where GAGE10 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 GAGE10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GAGE10 survival associations across molecular data types. GAGE10 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GAGE10 RNA expression–survival associations across cancer types. High GAGE10 expression shows unfavorable associations in KIRC, LIHC and KICH, but favorable associations in CESC, SCLC and BRCA. The KIRC 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 KIRC as the clearest survival context for GAGE10 RNA expression.
This table summarizes GAGE10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for GAGE10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GAGE10 shows lower tumor expression in UCEC, LUSC, KICH, BRCA and PRAD and higher tumor expression in CHOL. The UCEC box plot shows higher GAGE10 RNA expression in normal versus tumor tissue (log2 FC = −0.491, t-test p = .008).
This table shows molecular features associated with GAGE10 in patient tissues and cancer cell lines. In patient samples, GAGE10 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, GAGE10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Leukemia.
