Q-omics provides the consensus-scored EWSAT1 profile across patient tissues and cancer cell-line models. EWSAT1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in PAAD. Among the 18 cancer types available for tumor–normal comparison, EWSAT1 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, EWSAT1 RNA expression shows 11,616 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight PAAD, KIRC, and TGCT as cancer lineages where EWSAT1 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 EWSAT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes EWSAT1 survival associations across molecular data types. EWSAT1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible EWSAT1 RNA expression–survival associations across cancer types. High EWSAT1 expression shows unfavorable associations in KIRC, KIRP, LAML and LUAD, but favorable associations in PAAD and BRCA. The PAAD 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 PAAD as the clearest survival context for EWSAT1 RNA expression.
This table summarizes EWSAT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for EWSAT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. EWSAT1 shows lower tumor expression in KIRC, KICH and KIRP and higher tumor expression in LUSC, COAD and LIHC. The KIRC box plot shows higher EWSAT1 RNA expression in normal versus tumor tissue (log2 FC = −1.156, t-test p < 0.001).
This table shows molecular features associated with EWSAT1 in patient tissues and cancer cell lines. In patient samples, EWSAT1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, EWSAT1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in STOMACH.
