Q-omics provides the consensus-scored HOXC13-AS profile across patient tissues and cancer cell-line models. HOXC13-AS expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, HOXC13-AS is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, HOXC13-AS RNA expression shows 12,616 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight ACC, HNSC, and ESCA as cancer lineages where HOXC13-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 HOXC13-AS — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HOXC13-AS survival associations across molecular data types. HOXC13-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 HOXC13-AS RNA expression–survival associations across cancer types. High HOXC13-AS expression shows unfavorable associations in ACC, LGG, THCA, KIRP, MESO and UCEC. 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 HOXC13-AS RNA expression.
This table summarizes HOXC13-AS 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for HOXC13-AS. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HOXC13-AS shows lower tumor expression in KICH and higher tumor expression in HNSC, LUSC, LUAD, KIRC and STAD. The HNSC box plot shows higher HOXC13-AS RNA expression in tumor versus normal tissue (log2 FC = +2.076, t-test p < 0.001).
This table shows molecular features associated with HOXC13-AS in patient tissues and cancer cell lines. In patient samples, HOXC13-AS shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
