PAS domain containing serine/threonine kinaseGenealiases: PASKIN · STK37
Q-omics provides the consensus-scored PASK profile across patient tissues and cancer cell-line models. PASK expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PASK is differentially expressed in 16, with the highest sampling consensus in COAD. Additionally, PASK RNA expression shows 20,167 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where PASK 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 PASK — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PASK survival associations across molecular data types. PASK RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PASK RNA expression–survival associations across cancer types. High PASK expression shows unfavorable associations in ACC, MESO, LGG and LIHC, but favorable associations in HNSC and UCEC. The ACC 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 ACC as the clearest survival context for PASK RNA expression.
This table summarizes PASK tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 2. The strongest signals are observed in COAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for PASK. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PASK shows lower tumor expression in KICH and higher tumor expression in COAD, BLCA, STAD, HNSC and LIHC. The COAD box plot shows higher PASK RNA expression in tumor versus normal tissue (log2 FC = +1.040, t-test p < 0.001).
This table shows molecular features associated with PASK in patient tissues and cancer cell lines. In patient samples, PASK 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, PASK RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Leukemia.
