DDB1 and CUL4 associated factor 13 pseudogene 1Genealiases: []
Q-omics provides the consensus-scored DCAF13P1 profile across patient tissues and cancer cell-line models. DCAF13P1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, DCAF13P1 is differentially expressed in 10, with the highest sampling consensus in HNSC. Additionally, DCAF13P1 RNA expression shows 12,078 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight SKCM, HNSC, and TGCT as cancer lineages where DCAF13P1 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 DCAF13P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DCAF13P1 survival associations across molecular data types. DCAF13P1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DCAF13P1 RNA expression–survival associations across cancer types. High DCAF13P1 expression shows unfavorable associations in KIRC, THCA and COAD, but favorable associations in SKCM, BLCA and UCS. The SKCM 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 SKCM as the clearest survival context for DCAF13P1 RNA expression.
This table summarizes DCAF13P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for DCAF13P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DCAF13P1 shows lower tumor expression in THCA and higher tumor expression in HNSC, KIRC, COAD, LIHC and LUSC. The HNSC box plot shows higher DCAF13P1 RNA expression in tumor versus normal tissue (log2 FC = +0.096, t-test p < 0.001).
This table shows molecular features associated with DCAF13P1 in patient tissues and cancer cell lines. In patient samples, DCAF13P1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
