Q-omics provides the consensus-scored CEL profile across patient tissues and cancer cell-line models. CEL expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CEL is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, CEL RNA expression shows 17,069 significant protein co-abundance associations, with the highest sampling consensus in PDAC. Together, these results highlight KIRC, COAD, and PDAC as cancer lineages where CEL 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 CEL — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CEL survival associations across molecular data types. CEL RNA expression shows survival associations in the most cancer types (21), followed by mutation status (6) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CEL RNA expression–survival associations across cancer types. High CEL expression shows unfavorable associations in KIRC, BRCA, LGG and MESO, but favorable associations in ACC and LUAD. The KIRC 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 KIRC as the clearest survival context for CEL RNA expression.
This table summarizes CEL tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 4. The strongest signals are observed in KIRC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for CEL. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CEL shows lower tumor expression in KIRC and KIRP and higher tumor expression in COAD, LIHC, LUSC and READ. The COAD box plot shows higher CEL RNA expression in tumor versus normal tissue (log2 FC = +3.505, t-test p < 0.001).
This table shows molecular features associated with CEL in patient tissues and cancer cell lines. In patient samples, CEL shows the broadest associations at the RNA and protein expression levels, with PDAC recurring as the lineage with the largest associated feature set. In cancer cell lines, CEL RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BONE.
