Q-omics provides the consensus-scored IL1A profile across patient tissues and cancer cell-line models. IL1A expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, IL1A is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, IL1A RNA expression shows 14,527 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight STAD, and HNSC as cancer lineages where IL1A 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 IL1A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IL1A survival associations across molecular data types. IL1A RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) and mass-spec protein abundance (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IL1A RNA expression–survival associations across cancer types. High IL1A expression shows unfavorable associations in STAD, LIHC, HNSC, UVM, KIRC and LGG. The STAD 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 STAD as the clearest survival context for IL1A RNA expression.
This table summarizes IL1A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for IL1A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IL1A shows lower tumor expression in LUAD and higher tumor expression in HNSC, COAD, KIRP, KIRC and LIHC. The HNSC box plot shows higher IL1A RNA expression in tumor versus normal tissue (log2 FC = +2.394, t-test p < 0.001).
This table shows molecular features associated with IL1A in patient tissues and cancer cell lines. In patient samples, IL1A shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set. In cancer cell lines, IL1A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and LUNG_SCLC.
