CCZ1 vacuolar protein trafficking and biogenesis associatedGenealiases: C7orf28A · CCZ1A · CGI-43 · H_DJ1163J12.2
Q-omics provides the consensus-scored CCZ1 profile across patient tissues and cancer cell-line models. CCZ1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, CCZ1 is differentially expressed in 13, with the highest sampling consensus in KIRP. Additionally, CCZ1 RNA expression shows 18,575 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight CESC, KIRP, and ACC as cancer lineages where CCZ1 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 CCZ1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CCZ1 survival associations across molecular data types. CCZ1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (3) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CCZ1 RNA expression–survival associations across cancer types. High CCZ1 expression shows unfavorable associations in CESC, KICH, LIHC and UVM, but favorable associations in READ and THYM. The CESC 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 CESC as the clearest survival context for CCZ1 RNA expression.
This table summarizes CCZ1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for CCZ1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CCZ1 shows higher tumor expression in KIRP, HNSC, LIHC, LUAD, KIRC and BLCA. The KIRP box plot shows higher CCZ1 RNA expression in tumor versus normal tissue (log2 FC = +0.786, t-test p < 0.001).
This table shows molecular features associated with CCZ1 in patient tissues and cancer cell lines. In patient samples, CCZ1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, CCZ1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and LARGE_INTESTINE.
