Q-omics provides the consensus-scored COQ8A profile across patient tissues and cancer cell-line models. COQ8A expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, COQ8A is differentially expressed in 15, with the highest sampling consensus in KICH. Additionally, COQ8A protein abundance shows 20,207 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight ACC, KICH, and HNSC as cancer lineages where COQ8A 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 COQ8A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COQ8A survival associations across molecular data types. COQ8A RNA expression shows survival associations in the most cancer types (19), followed by mutation status (5) 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 COQ8A RNA expression–survival associations across cancer types. High COQ8A expression shows favorable associations in ACC, MESO, KIRC, READ, LGG and SCLC. The ACC 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 ACC as the clearest survival context for COQ8A RNA expression.
This table summarizes COQ8A 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 6. The strongest signals are observed in KICH for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for COQ8A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COQ8A shows lower tumor expression in KICH, KIRP, HNSC, UCEC and BRCA and higher tumor expression in COAD. The KICH box plot shows higher COQ8A RNA expression in normal versus tumor tissue (log2 FC = −1.929, t-test p < 0.001).
This table shows molecular features associated with COQ8A in patient tissues and cancer cell lines. In patient samples, COQ8A shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, COQ8A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BONE and LARGE_INTESTINE.
