Q-omics provides the consensus-scored GASK1B profile across patient tissues and cancer cell-line models. GASK1B expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, GASK1B is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, GASK1B RNA expression shows 23,645 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight KIRP, HNSC, and BRCA as cancer lineages where GASK1B 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 GASK1B — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GASK1B survival associations across molecular data types. GASK1B RNA expression shows survival associations in the most cancer types (29), followed by mutation status (11) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GASK1B RNA expression–survival associations across cancer types. High GASK1B expression shows unfavorable associations in KIRP, BLCA and LGG, but favorable associations in KIRC, ACC and LUAD. 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 GASK1B RNA expression.
This table summarizes GASK1B tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for GASK1B. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GASK1B shows lower tumor expression in UCEC and KIRP and higher tumor expression in HNSC, KIRC, LIHC and STAD. The HNSC box plot shows higher GASK1B RNA expression in tumor versus normal tissue (log2 FC = +2.141, t-test p < 0.001).
This table shows molecular features associated with GASK1B in patient tissues and cancer cell lines. In patient samples, GASK1B shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, GASK1B RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and UPPER_AERODIGESTIVE_TRACT.
