Q-omics provides the consensus-scored GACAT1 profile across patient tissues and cancer cell-line models. GACAT1 expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in THYM. Among the 18 cancer types available for tumor–normal comparison, GACAT1 is differentially expressed in 1, with the highest sampling consensus in HNSC. Additionally, GACAT1 RNA expression shows 6,190 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight THYM, HNSC, and STAD as cancer lineages where GACAT1 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 GACAT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GACAT1 survival associations across molecular data types. GACAT1 RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GACAT1 RNA expression–survival associations across cancer types. High GACAT1 expression shows unfavorable associations in THYM, COAD, KICH, DLBC and ACC, but favorable associations in ESCA. The THYM 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 THYM as the clearest survival context for GACAT1 RNA expression.
This table summarizes GACAT1 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for GACAT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GACAT1 shows higher tumor expression in HNSC. The HNSC box plot shows higher GACAT1 RNA expression in tumor versus normal tissue (log2 FC = +0.008, t-test p = .041).
This table shows molecular features associated with GACAT1 in patient tissues and cancer cell lines. In patient samples, GACAT1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
