dishevelled associated activator of morphogenesis 1Genealiases: []
Q-omics provides the consensus-scored DAAM1 profile across patient tissues and cancer cell-line models. DAAM1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, DAAM1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, DAAM1 protein abundance shows 36,895 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, and GBM as cancer lineages where DAAM1 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 DAAM1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DAAM1 survival associations across molecular data types. DAAM1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DAAM1 RNA expression–survival associations across cancer types. High DAAM1 expression shows unfavorable associations in KICH and LGG, but favorable associations in KIRC, THYM, UCS and BRCA. The KIRC 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 KIRC as the clearest survival context for DAAM1 RNA expression.
This table summarizes DAAM1 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 12. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for DAAM1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DAAM1 shows lower tumor expression in KIRC, THCA, COAD and ESCA and higher tumor expression in HNSC and CHOL. The KIRC box plot shows higher DAAM1 RNA expression in normal versus tumor tissue (log2 FC = −0.923, t-test p < 0.001).
This table shows molecular features associated with DAAM1 in patient tissues and cancer cell lines. In patient samples, DAAM1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, DAAM1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUSC and BLOOD_Lymphoma.
