Q-omics provides the consensus-scored DCAF15 profile across patient tissues and cancer cell-line models. DCAF15 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, DCAF15 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, DCAF15 RNA expression shows 20,198 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where DCAF15 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 DCAF15 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DCAF15 survival associations across molecular data types. DCAF15 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (4) 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 DCAF15 RNA expression–survival associations across cancer types. High DCAF15 expression shows unfavorable associations in ACC, KIRC, LGG, KICH and LIHC, but favorable associations in SCLC. 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 DCAF15 RNA expression.
This table summarizes DCAF15 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 3. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for DCAF15. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DCAF15 shows higher tumor expression in HNSC, COAD, KIRC, LIHC, BLCA and STAD. The HNSC box plot shows higher DCAF15 RNA expression in tumor versus normal tissue (log2 FC = +1.047, t-test p < 0.001).
This table shows molecular features associated with DCAF15 in patient tissues and cancer cell lines. In patient samples, DCAF15 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, DCAF15 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Myeloma, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and SOFT_TISSUE.
