endothelin converting enzyme like 1 pseudogene 1Genealiases: []
Q-omics provides the consensus-scored ECEL1P1 profile across patient tissues and cancer cell-line models. ECEL1P1 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, ECEL1P1 is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, ECEL1P1 RNA expression shows 10,728 significant gene co-expression associations, with the highest sampling consensus in LIHC. Together, these results highlight MESO, KIRC, and LIHC as cancer lineages where ECEL1P1 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 ECEL1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ECEL1P1 survival associations across molecular data types. ECEL1P1 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 ECEL1P1 RNA expression–survival associations across cancer types. High ECEL1P1 expression shows unfavorable associations in MESO, THYM, BRCA, UVM and KIRC, but favorable associations in UCEC. The MESO 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 MESO as the clearest survival context for ECEL1P1 RNA expression.
This table summarizes ECEL1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ECEL1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ECEL1P1 shows lower tumor expression in KIRC, THCA and LUAD and higher tumor expression in BLCA, STAD and BRCA. The KIRC box plot shows higher ECEL1P1 RNA expression in normal versus tumor tissue (log2 FC = −0.033, t-test p < 0.001).
This table shows molecular features associated with ECEL1P1 in patient tissues and cancer cell lines. In patient samples, ECEL1P1 shows the broadest associations at the RNA and protein expression levels, with LIHC recurring as the lineage with the largest associated feature set.
