death associated protein kinase 3Genealiases: DLK · ZIP · ZIPK
Q-omics provides the consensus-scored DAPK3 profile across patient tissues and cancer cell-line models. DAPK3 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, DAPK3 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, DAPK3 protein abundance shows 26,334 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight UCEC, HNSC, and PDAC as cancer lineages where DAPK3 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 DAPK3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DAPK3 survival associations across molecular data types. DAPK3 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (4) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DAPK3 RNA expression–survival associations across cancer types. High DAPK3 expression shows unfavorable associations in ACC, MESO, KIRP and UCS, but favorable associations in UCEC and SCLC. The UCEC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify UCEC as the clearest survival context for DAPK3 RNA expression.
This table summarizes DAPK3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 5. The strongest signals are observed in HNSC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for DAPK3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DAPK3 shows higher tumor expression in HNSC, KIRC, LIHC, COAD, BRCA and KIRP. The HNSC box plot shows higher DAPK3 RNA expression in tumor versus normal tissue (log2 FC = +1.134, t-test p < 0.001).
This table shows molecular features associated with DAPK3 in patient tissues and cancer cell lines. In patient samples, DAPK3 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, DAPK3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Leukemia.
