zinc finger with KRAB and SCAN domains 8Genealiases: LD5-1 · ZNF192 · ZSCAN40
Q-omics provides the consensus-scored ZKSCAN8 profile across patient tissues and cancer cell-line models. ZKSCAN8 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, ZKSCAN8 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, ZKSCAN8 RNA expression shows 22,050 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight HNSC, and KIRP as cancer lineages where ZKSCAN8 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 ZKSCAN8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZKSCAN8 survival associations across molecular data types. ZKSCAN8 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (7) 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 ZKSCAN8 RNA expression–survival associations across cancer types. High ZKSCAN8 expression shows favorable associations in HNSC, KIRC, READ, SCLC, BRCA and UCS. The HNSC 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 HNSC as the clearest survival context for ZKSCAN8 RNA expression.
This table summarizes ZKSCAN8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for ZKSCAN8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZKSCAN8 shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, LIHC, CHOL and KIRP. The HNSC box plot shows higher ZKSCAN8 RNA expression in tumor versus normal tissue (log2 FC = +0.738, t-test p < 0.001).
This table shows molecular features associated with ZKSCAN8 in patient tissues and cancer cell lines. In patient samples, ZKSCAN8 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, ZKSCAN8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUSC, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
