Q-omics provides the consensus-scored GAGE12H profile across patient tissues and cancer cell-line models. GAGE12H expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KIRP. Additionally, GAGE12H RNA expression shows 2,132 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight KIRP, and COAD as cancer lineages where GAGE12H 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 GAGE12H — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GAGE12H survival associations across molecular data types. GAGE12H RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GAGE12H RNA expression–survival associations across cancer types. High GAGE12H expression shows unfavorable associations in KIRP, HNSC, KICH, UVM, STAD and BRCA. The KIRP 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 KIRP as the clearest survival context for GAGE12H RNA expression.
This table shows molecular features associated with GAGE12H in patient tissues and cancer cell lines. In patient samples, GAGE12H shows the broadest associations at the RNA and protein expression levels, with COAD recurring as the lineage with the largest associated feature set. In cancer cell lines, GAGE12H RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and UPPER_AERODIGESTIVE_TRACT.
