Q-omics provides the consensus-scored ESRG profile across patient tissues and cancer cell-line models. ESRG expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, ESRG is differentially expressed in 8, with the highest sampling consensus in BLCA. Additionally, ESRG RNA expression shows 7,976 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, BLCA, and GBM as cancer lineages where ESRG 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 ESRG — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ESRG survival associations across molecular data types. ESRG RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ESRG RNA expression–survival associations across cancer types. High ESRG expression shows unfavorable associations in UCEC, COAD, UVM and KIRP, but favorable associations in BRCA and LUSC. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify UCEC as the clearest survival context for ESRG RNA expression.
This table summarizes ESRG tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for ESRG. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ESRG shows lower tumor expression in BLCA, BRCA, THCA, UCEC and HNSC and higher tumor expression in LUSC. The BLCA box plot shows higher ESRG RNA expression in normal versus tumor tissue (log2 FC = −0.092, t-test p < 0.001).
This table shows molecular features associated with ESRG in patient tissues and cancer cell lines. In patient samples, ESRG shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
