Q-omics provides the consensus-scored ZNF668 profile across patient tissues and cancer cell-line models. ZNF668 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, ZNF668 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, ZNF668 protein abundance shows 19,660 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, HNSC, and LSCC as cancer lineages where ZNF668 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 ZNF668 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF668 survival associations across molecular data types. ZNF668 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (8) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZNF668 RNA expression–survival associations across cancer types. High ZNF668 expression shows unfavorable associations in KIRP, UVM and LIHC, but favorable associations in HNSC, ESCA and UCS. The KIRP 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 KIRP as the clearest survival context for ZNF668 RNA expression.
This table summarizes ZNF668 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 5. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for ZNF668. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF668 shows higher tumor expression in HNSC, KIRP, COAD, KIRC, LIHC and STAD. The HNSC box plot shows higher ZNF668 RNA expression in tumor versus normal tissue (log2 FC = +1.051, t-test p < 0.001).
This table shows molecular features associated with ZNF668 in patient tissues and cancer cell lines. In patient samples, ZNF668 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, ZNF668 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in PANCREAS and BLOOD_Lymphoma.
