Q-omics provides the consensus-scored GATC profile across patient tissues and cancer cell-line models. GATC expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, GATC is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, GATC RNA expression shows 20,067 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight LIHC, HNSC, and ACC as cancer lineages where GATC 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 GATC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GATC survival associations across molecular data types. GATC RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GATC RNA expression–survival associations across cancer types. High GATC expression shows unfavorable associations in LIHC, MESO, LGG and UVM, but favorable associations in KIRC and SCLC. The LIHC 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 LIHC as the clearest survival context for GATC RNA expression.
This table summarizes GATC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for GATC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GATC shows lower tumor expression in THCA and higher tumor expression in HNSC, BLCA, LIHC, STAD and COAD. The HNSC box plot shows higher GATC RNA expression in tumor versus normal tissue (log2 FC = +0.915, t-test p < 0.001).
This table shows molecular features associated with GATC in patient tissues and cancer cell lines. In patient samples, GATC shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, GATC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and BLOOD_Leukemia.
