Q-omics provides the consensus-scored DACH1 profile across patient tissues and cancer cell-line models. DACH1 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, DACH1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, DACH1 RNA expression shows 19,426 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, and THYM as cancer lineages where DACH1 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 DACH1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DACH1 survival associations across molecular data types. DACH1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DACH1 RNA expression–survival associations across cancer types. High DACH1 expression shows unfavorable associations in ACC, BLCA, UVM and ESCA, but favorable associations in KIRC and PAAD. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify KIRC as the clearest survival context for DACH1 RNA expression.
This table summarizes DACH1 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 4. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for DACH1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DACH1 shows lower tumor expression in KIRC, KICH, KIRP, LUAD and LUSC and higher tumor expression in COAD. The KIRC box plot shows higher DACH1 RNA expression in normal versus tumor tissue (log2 FC = −2.691, t-test p < 0.001).
This table shows molecular features associated with DACH1 in patient tissues and cancer cell lines. In patient samples, DACH1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, DACH1 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 BREAST and BLOOD_Leukemia.
