Q-omics provides the consensus-scored DOK3 profile across patient tissues and cancer cell-line models. DOK3 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, DOK3 is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, DOK3 protein abundance shows 29,479 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, KIRC, and LSCC as cancer lineages where DOK3 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 DOK3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DOK3 survival associations across molecular data types. DOK3 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (5) 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 DOK3 RNA expression–survival associations across cancer types. High DOK3 expression shows unfavorable associations in KIRC, LGG and UVM, but favorable associations in HNSC, UCEC and LUAD. The HNSC 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 HNSC as the clearest survival context for DOK3 RNA expression.
This table summarizes DOK3 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 KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for DOK3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DOK3 shows lower tumor expression in LUSC and higher tumor expression in KIRC, HNSC, KIRP, UCEC and STAD. The KIRC box plot shows higher DOK3 RNA expression in tumor versus normal tissue (log2 FC = +1.980, t-test p < 0.001).
This table shows molecular features associated with DOK3 in patient tissues and cancer cell lines. In patient samples, DOK3 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, DOK3 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 BREAST and BLOOD_Lymphoma.
