Q-omics provides the consensus-scored HOTAIR profile across patient tissues and cancer cell-line models. HOTAIR expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, HOTAIR is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, HOTAIR RNA expression shows 13,885 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ACC, KICH, and KIRP as cancer lineages where HOTAIR 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 HOTAIR — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HOTAIR survival associations across molecular data types. HOTAIR RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HOTAIR RNA expression–survival associations across cancer types. High HOTAIR expression shows unfavorable associations in ACC, COAD, MESO, BRCA, THCA and LGG. The ACC 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 ACC as the clearest survival context for HOTAIR RNA expression.
This table summarizes HOTAIR tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for HOTAIR. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HOTAIR shows lower tumor expression in KICH and higher tumor expression in HNSC, KIRP, STAD, KIRC and BRCA. The KICH box plot shows higher HOTAIR RNA expression in normal versus tumor tissue (log2 FC = −0.928, t-test p < 0.001).
This table shows molecular features associated with HOTAIR in patient tissues and cancer cell lines. In patient samples, HOTAIR shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
