Q-omics provides the consensus-scored GASK1A profile across patient tissues and cancer cell-line models. GASK1A expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, GASK1A is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, GASK1A RNA expression shows 16,215 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight HNSC, KIRC, and PDAC as cancer lineages where GASK1A 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 GASK1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GASK1A survival associations across molecular data types. GASK1A RNA expression shows survival associations in the most cancer types (22), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GASK1A RNA expression–survival associations across cancer types. High GASK1A expression shows unfavorable associations in LGG and THCA, but favorable associations in HNSC, MESO, BRCA and LIHC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify HNSC as the clearest survival context for GASK1A RNA expression.
This table summarizes GASK1A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for GASK1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GASK1A shows lower tumor expression in KIRC, KICH, LIHC, HNSC, KIRP and COAD. The KIRC box plot shows higher GASK1A RNA expression in normal versus tumor tissue (log2 FC = −0.928, t-test p < 0.001).
This table shows molecular features associated with GASK1A in patient tissues and cancer cell lines. In patient samples, GASK1A shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, GASK1A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and BLOOD_Leukemia.
