Q-omics provides the consensus-scored COQ4 profile across patient tissues and cancer cell-line models. COQ4 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, COQ4 is differentially expressed in 9, with the highest sampling consensus in KICH. Additionally, COQ4 RNA expression shows 18,554 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, KICH, and ACC as cancer lineages where COQ4 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 COQ4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COQ4 survival associations across molecular data types. COQ4 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (6) 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 COQ4 RNA expression–survival associations across cancer types. High COQ4 expression shows unfavorable associations in ACC, UVM, LGG and COAD, but favorable associations in KIRP and UCEC. The KIRP Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify KIRP as the clearest survival context for COQ4 RNA expression.
This table summarizes COQ4 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 3. The strongest signals are observed in KICH for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for COQ4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COQ4 shows lower tumor expression in KICH and THCA and higher tumor expression in STAD, BRCA, LIHC and CHOL. The KICH box plot shows higher COQ4 RNA expression in normal versus tumor tissue (log2 FC = −0.884, t-test p < 0.001).
This table shows molecular features associated with COQ4 in patient tissues and cancer cell lines. In patient samples, COQ4 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, COQ4 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Lymphoma.
