Q-omics provides the consensus-scored COA8 profile across patient tissues and cancer cell-line models. COA8 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, COA8 is differentially expressed in 11, with the highest sampling consensus in LIHC. Additionally, COA8 RNA expression shows 18,945 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LIHC as cancer lineages where COA8 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 COA8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COA8 survival associations across molecular data types. COA8 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible COA8 RNA expression–survival associations across cancer types. High COA8 expression shows unfavorable associations in ACC, HNSC, LIHC, READ and UVM, but favorable associations in OV. The ACC 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 ACC as the clearest survival context for COA8 RNA expression.
This table summarizes COA8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for COA8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COA8 shows higher tumor expression in LIHC, KIRP, HNSC, LUAD, KIRC and BLCA. The LIHC box plot shows higher COA8 RNA expression in tumor versus normal tissue (log2 FC = +0.947, t-test p < 0.001).
This table shows molecular features associated with COA8 in patient tissues and cancer cell lines. In patient samples, COA8 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, COA8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BONE.
