Q-omics provides the consensus-scored CELA1 profile across patient tissues and cancer cell-line models. CELA1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, CELA1 is differentially expressed in 9, with the highest sampling consensus in COAD. Additionally, CELA1 RNA expression shows 12,371 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UVM, COAD, and TGCT as cancer lineages where CELA1 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 CELA1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CELA1 survival associations across molecular data types. CELA1 RNA expression shows survival associations in the most cancer types (22), 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 CELA1 RNA expression–survival associations across cancer types. High CELA1 expression shows unfavorable associations in UVM, KIRC, LGG, BLCA, THCA and MESO. 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 CELA1 RNA expression.
This table summarizes CELA1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for CELA1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CELA1 shows lower tumor expression in COAD, LUAD and STAD and higher tumor expression in KIRC, BRCA and KIRP. The COAD box plot shows higher CELA1 RNA expression in normal versus tumor tissue (log2 FC = −0.104, t-test p < 0.001).
This table shows molecular features associated with CELA1 in patient tissues and cancer cell lines. In patient samples, CELA1 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, CELA1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BREAST and UPPER_AERODIGESTIVE_TRACT.
