Q-omics provides the consensus-scored IL6-AS1 profile across patient tissues and cancer cell-line models. IL6-AS1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, IL6-AS1 is differentially expressed in 8, with the highest sampling consensus in BRCA. Additionally, IL6-AS1 RNA expression shows 11,809 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, BRCA, and TGCT as cancer lineages where IL6-AS1 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 IL6-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IL6-AS1 survival associations across molecular data types. IL6-AS1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IL6-AS1 RNA expression–survival associations across cancer types. High IL6-AS1 expression shows unfavorable associations in KIRC, STAD, LGG, KIRP, LUSC and UVM. 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 IL6-AS1 RNA expression.
This table summarizes IL6-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for IL6-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IL6-AS1 shows lower tumor expression in BRCA, BLCA, KICH, LUSC and UCEC and higher tumor expression in LIHC. The BRCA box plot shows higher IL6-AS1 RNA expression in normal versus tumor tissue (log2 FC = −1.010, t-test p < 0.001).
This table shows molecular features associated with IL6-AS1 in patient tissues and cancer cell lines. In patient samples, IL6-AS1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
