zinc finger protein 708Genealiases: KOX8 · ZNF15 · ZNF15L1
Q-omics provides the consensus-scored ZNF708 profile across patient tissues and cancer cell-line models. ZNF708 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, ZNF708 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, ZNF708 RNA expression shows 21,556 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LUAD, THCA, and UVM as cancer lineages where ZNF708 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 ZNF708 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF708 survival associations across molecular data types. ZNF708 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZNF708 RNA expression–survival associations across cancer types. High ZNF708 expression shows unfavorable associations in UVM, ACC and LUSC, but favorable associations in LUAD, HNSC and READ. The LUAD 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 LUAD as the clearest survival context for ZNF708 RNA expression.
This table summarizes ZNF708 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for ZNF708. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF708 shows lower tumor expression in THCA and LUSC and higher tumor expression in BLCA, LIHC, CHOL and KIRP. The THCA box plot shows higher ZNF708 RNA expression in normal versus tumor tissue (log2 FC = −1.064, t-test p < 0.001).
This table shows molecular features associated with ZNF708 in patient tissues and cancer cell lines. In patient samples, ZNF708 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, ZNF708 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
