D4Z4 binding element transcriptGenealiases: DBE-T · DUX4L30
Q-omics provides the consensus-scored DBET profile across patient tissues and cancer cell-line models. DBET expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in DLBC. Among the 18 cancer types available for tumor–normal comparison, DBET is differentially expressed in 2, with the highest sampling consensus in COAD. Additionally, DBET RNA expression shows 6,024 significant gene co-expression associations, with the highest sampling consensus in READ. Together, these results highlight DLBC, COAD, and READ as cancer lineages where DBET 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 DBET — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DBET survival associations across molecular data types. DBET RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DBET RNA expression–survival associations across cancer types. High DBET expression shows unfavorable associations in DLBC, STAD, UCS and PRAD, but favorable associations in HNSC and SKCM. The DLBC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .013). Together, the overview and detailed table identify DLBC as the clearest survival context for DBET RNA expression.
This table summarizes DBET tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for DBET. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DBET shows higher tumor expression in COAD and BRCA. The COAD box plot shows higher DBET RNA expression in tumor versus normal tissue (log2 FC = +0.174, t-test p < 0.001).
This table shows molecular features associated with DBET in patient tissues and cancer cell lines. In patient samples, DBET shows the broadest associations at the RNA and protein expression levels, with READ recurring as the lineage with the largest associated feature set. In cancer cell lines, DBET RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY.
