dedicator of cytokinesis 7Genealiases: DEE23 · EIEE23 · ZIR2
Q-omics provides the consensus-scored DOCK7 profile across patient tissues and cancer cell-line models. DOCK7 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, DOCK7 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, DOCK7 protein abundance shows 21,605 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight MESO, HNSC, and GBM as cancer lineages where DOCK7 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 DOCK7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DOCK7 survival associations across molecular data types. DOCK7 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (10) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DOCK7 RNA expression–survival associations across cancer types. High DOCK7 expression shows unfavorable associations in MESO, LIHC, ACC, LGG and SARC, but favorable associations in KIRC. The MESO 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 MESO as the clearest survival context for DOCK7 RNA expression.
This table summarizes DOCK7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for DOCK7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DOCK7 shows lower tumor expression in THCA, KICH and BRCA and higher tumor expression in HNSC, LIHC and CHOL. The HNSC box plot shows higher DOCK7 RNA expression in tumor versus normal tissue (log2 FC = +0.823, t-test p < 0.001).
This table shows molecular features associated with DOCK7 in patient tissues and cancer cell lines. In patient samples, DOCK7 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, DOCK7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and UPPER_AERODIGESTIVE_TRACT.
