Q-omics provides the consensus-scored ZDHHC7 profile across patient tissues and cancer cell-line models. ZDHHC7 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, ZDHHC7 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, ZDHHC7 RNA expression shows 19,927 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where ZDHHC7 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 ZDHHC7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZDHHC7 survival associations across molecular data types. ZDHHC7 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5) 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 ZDHHC7 RNA expression–survival associations across cancer types. High ZDHHC7 expression shows unfavorable associations in ACC, LGG, LIHC, UVM, LUSC and MESO. 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 ZDHHC7 RNA expression.
This table summarizes ZDHHC7 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 3. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for ZDHHC7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZDHHC7 shows lower tumor expression in COAD, THCA and READ and higher tumor expression in HNSC, KIRP and LIHC. The HNSC box plot shows higher ZDHHC7 RNA expression in tumor versus normal tissue (log2 FC = +0.622, t-test p < 0.001).
This table shows molecular features associated with ZDHHC7 in patient tissues and cancer cell lines. In patient samples, ZDHHC7 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, ZDHHC7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and LARGE_INTESTINE.
