Q-omics provides the consensus-scored HTT-AS profile across patient tissues and cancer cell-line models. HTT-AS expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, HTT-AS is differentially expressed in 5, with the highest sampling consensus in COAD. Additionally, HTT-AS RNA expression shows 11,237 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, COAD, and UVM as cancer lineages where HTT-AS 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 HTT-AS — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HTT-AS survival associations across molecular data types. HTT-AS RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HTT-AS RNA expression–survival associations across cancer types. High HTT-AS expression shows unfavorable associations in KIRC and LGG, but favorable associations in ESCA, UCS, PAAD and ACC. The KIRC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KIRC as the clearest survival context for HTT-AS RNA expression.
This table summarizes HTT-AS tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for HTT-AS. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HTT-AS shows lower tumor expression in COAD, LUSC, LUAD and KICH and higher tumor expression in LIHC. The COAD box plot shows higher HTT-AS RNA expression in normal versus tumor tissue (log2 FC = −0.063, t-test p = .017).
This table shows molecular features associated with HTT-AS in patient tissues and cancer cell lines. In patient samples, HTT-AS shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
