zinc finger with KRAB and SCAN domains 1Genealiases: KOX18 · PHZ-37 · ZNF139 · ZNF36 · ZSCAN33
Q-omics provides the consensus-scored ZKSCAN1 profile across patient tissues and cancer cell-line models. ZKSCAN1 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, ZKSCAN1 is differentially expressed in 12, with the highest sampling consensus in LIHC. Additionally, ZKSCAN1 protein abundance shows 23,191 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRC, LIHC, and LSCC as cancer lineages where ZKSCAN1 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 ZKSCAN1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZKSCAN1 survival associations across molecular data types. ZKSCAN1 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (4) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZKSCAN1 RNA expression–survival associations across cancer types. High ZKSCAN1 expression shows favorable associations in KIRC, ACC, HNSC, LUSC, PRAD and GBM. The KIRC 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 KIRC as the clearest survival context for ZKSCAN1 RNA expression.
This table summarizes ZKSCAN1 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 7. The strongest signals are observed in LUSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for ZKSCAN1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZKSCAN1 shows lower tumor expression in THCA and higher tumor expression in LIHC, COAD, LUSC, BLCA and CHOL. The LIHC box plot shows higher ZKSCAN1 RNA expression in tumor versus normal tissue (log2 FC = +0.935, t-test p < 0.001).
This table shows molecular features associated with ZKSCAN1 in patient tissues and cancer cell lines. In patient samples, ZKSCAN1 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, ZKSCAN1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BREAST.
