Q-omics provides the consensus-scored DOK4 profile across patient tissues and cancer cell-line models. DOK4 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, DOK4 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, DOK4 RNA expression shows 20,102 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KIRC as cancer lineages where DOK4 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 DOK4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DOK4 survival associations across molecular data types. DOK4 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DOK4 RNA expression–survival associations across cancer types. High DOK4 expression shows unfavorable associations in UVM, SKCM and UCS, but favorable associations in LGG, KIRC and LUAD. The UVM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .008). Together, the overview and detailed table identify UVM as the clearest survival context for DOK4 RNA expression.
This table summarizes DOK4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for DOK4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DOK4 shows lower tumor expression in KICH and COAD and higher tumor expression in KIRC, KIRP, THCA and LIHC. The KIRC box plot shows higher DOK4 RNA expression in tumor versus normal tissue (log2 FC = +1.064, t-test p < 0.001).
This table shows molecular features associated with DOK4 in patient tissues and cancer cell lines. In patient samples, DOK4 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, DOK4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and SOFT_TISSUE.
