Q-omics provides the consensus-scored AVEN profile across patient tissues and cancer cell-line models. AVEN expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, AVEN is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, AVEN RNA expression shows 19,032 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight MESO, HNSC, and ACC as cancer lineages where AVEN 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 AVEN — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AVEN survival associations across molecular data types. AVEN RNA expression shows survival associations in the most cancer types (23), followed by mutation status (3) 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 AVEN RNA expression–survival associations across cancer types. High AVEN expression shows unfavorable associations in MESO, KICH, LUAD, BLCA, BRCA and LGG. The MESO 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 MESO as the clearest survival context for AVEN RNA expression.
This table summarizes AVEN tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for AVEN. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AVEN shows higher tumor expression in HNSC, KIRC, LUAD, COAD, THCA and LUSC. The HNSC box plot shows higher AVEN RNA expression in tumor versus normal tissue (log2 FC = +0.699, t-test p < 0.001).
This table shows molecular features associated with AVEN in patient tissues and cancer cell lines. In patient samples, AVEN 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, AVEN 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 CNS and BLOOD_Lymphoma.
