Q-omics provides the consensus-scored EDRF1-DT profile across patient tissues and cancer cell-line models. EDRF1-DT expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, EDRF1-DT is differentially expressed in 10, with the highest sampling consensus in KICH. Additionally, EDRF1-DT RNA expression shows 19,224 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, KICH, and UVM as cancer lineages where EDRF1-DT 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 EDRF1-DT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EDRF1-DT survival associations across molecular data types. EDRF1-DT RNA expression shows survival associations in the most cancer types (24). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EDRF1-DT RNA expression–survival associations across cancer types. High EDRF1-DT expression shows unfavorable associations in UVM, but favorable associations in KIRC, LGG, MESO, OV and THYM. 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 EDRF1-DT RNA expression.
This table summarizes EDRF1-DT 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for EDRF1-DT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EDRF1-DT shows lower tumor expression in KICH, THCA, KIRC, KIRP and HNSC and higher tumor expression in LUAD. The KICH box plot shows higher EDRF1-DT RNA expression in normal versus tumor tissue (log2 FC = −1.155, t-test p < 0.001).
This table shows molecular features associated with EDRF1-DT in patient tissues and cancer cell lines. In patient samples, EDRF1-DT shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
