Q-omics provides the consensus-scored MEPE profile across patient tissues and cancer cell-line models. MEPE expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MEPE is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, MEPE RNA expression shows 12,244 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UVM, HNSC, and THYM as cancer lineages where MEPE 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 MEPE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MEPE survival associations across molecular data types. MEPE RNA expression shows survival associations in the most cancer types (20), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MEPE RNA expression–survival associations across cancer types. High MEPE expression shows unfavorable associations in UVM, KIRP, CESC, SKCM and SARC, but favorable associations in BLCA. The UVM 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 UVM as the clearest survival context for MEPE RNA expression.
This table summarizes MEPE tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MEPE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MEPE shows higher tumor expression in HNSC, LIHC, BRCA, STAD, CHOL and KICH. The HNSC box plot shows higher MEPE RNA expression in tumor versus normal tissue (log2 FC = +0.097, t-test p < 0.001).
This table shows molecular features associated with MEPE in patient tissues and cancer cell lines. In patient samples, MEPE 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, MEPE RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and LARGE_INTESTINE.
