acyl-CoA dehydrogenase family member 10Genealiases: []
Q-omics provides the consensus-scored ACAD10 profile across patient tissues and cancer cell-line models. ACAD10 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ACAD10 is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, ACAD10 RNA expression shows 19,486 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, THCA, and ACC as cancer lineages where ACAD10 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 ACAD10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ACAD10 survival associations across molecular data types. ACAD10 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ACAD10 RNA expression–survival associations across cancer types. High ACAD10 expression shows unfavorable associations in UVM, BLCA, LGG and SKCM, but favorable associations in BRCA and SCLC. The UVM 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 UVM as the clearest survival context for ACAD10 RNA expression.
This table summarizes ACAD10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10, while mass-spec protein shows differences in 6. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for ACAD10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ACAD10 shows lower tumor expression in THCA, KIRC and COAD and higher tumor expression in BLCA, STAD and LUAD. The THCA box plot shows higher ACAD10 RNA expression in normal versus tumor tissue (log2 FC = −1.188, t-test p < 0.001).
This table shows molecular features associated with ACAD10 in patient tissues and cancer cell lines. In patient samples, ACAD10 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, ACAD10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BONE.
