Q-omics provides the consensus-scored DAW1 profile across patient tissues and cancer cell-line models. DAW1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, DAW1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, DAW1 protein abundance shows 14,856 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight KIRC, and LUAD as cancer lineages where DAW1 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 DAW1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DAW1 survival associations across molecular data types. DAW1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DAW1 RNA expression–survival associations across cancer types. High DAW1 expression shows unfavorable associations in KIRC, THYM, KICH, UVM, LIHC and ACC. The KIRC 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 KIRC as the clearest survival context for DAW1 RNA expression.
This table summarizes DAW1 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 7. The strongest signals are observed in KIRC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for DAW1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DAW1 shows lower tumor expression in KIRC, LUSC, BRCA and LUAD and higher tumor expression in KIRP and THCA. The KIRC box plot shows higher DAW1 RNA expression in normal versus tumor tissue (log2 FC = −0.319, t-test p < 0.001).
This table shows molecular features associated with DAW1 in patient tissues and cancer cell lines. In patient samples, DAW1 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, DAW1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Leukemia.
