zinc finger C3HC-type containing 1Genealiases: HSPC216 · NIPA
Q-omics provides the consensus-scored ZC3HC1 profile across patient tissues and cancer cell-line models. ZC3HC1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ZC3HC1 is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, ZC3HC1 protein abundance shows 26,947 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, KIRC, and GBM as cancer lineages where ZC3HC1 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 ZC3HC1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZC3HC1 survival associations across molecular data types. ZC3HC1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (3) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZC3HC1 RNA expression–survival associations across cancer types. High ZC3HC1 expression shows unfavorable associations in UVM, KICH, LIHC, CESC and ACC, but favorable associations in BRCA. The UVM 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 UVM as the clearest survival context for ZC3HC1 RNA expression.
This table summarizes ZC3HC1 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 KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ZC3HC1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZC3HC1 shows higher tumor expression in KIRC, HNSC, KIRP, LUAD, LIHC and COAD. The KIRC box plot shows higher ZC3HC1 RNA expression in tumor versus normal tissue (log2 FC = +1.349, t-test p < 0.001).
This table shows molecular features associated with ZC3HC1 in patient tissues and cancer cell lines. In patient samples, ZC3HC1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, ZC3HC1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Lymphoma.
