antisense of IGF2R non-protein coding RNAGenealiases: AIR · IGF2R-AS · IGF2R-AS1 · IGF2RAS · NCRNA00088
Q-omics provides the consensus-scored AIRN profile across patient tissues and cancer cell-line models. AIRN expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, AIRN is differentially expressed in 4, with the highest sampling consensus in STAD. Additionally, AIRN RNA expression shows 9,316 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight CESC, STAD, and LAML as cancer lineages where AIRN 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 AIRN — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AIRN survival associations across molecular data types. AIRN RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AIRN RNA expression–survival associations across cancer types. High AIRN expression shows unfavorable associations in DLBC, UVM and MESO, but favorable associations in CESC, STAD and READ. The CESC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .009). Together, the overview and detailed table identify CESC as the clearest survival context for AIRN RNA expression.
This table summarizes AIRN tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in STAD for RNA.
This table ranks reproducible tumor–normal expression differences for AIRN. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AIRN shows lower tumor expression in KIRC and higher tumor expression in STAD, HNSC and COAD. The STAD box plot shows higher AIRN RNA expression in tumor versus normal tissue (log2 FC = +0.042, t-test p < 0.001).
This table shows molecular features associated with AIRN in patient tissues and cancer cell lines. In patient samples, AIRN shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set.
