Q-omics provides the consensus-scored HOXC6 profile across patient tissues and cancer cell-line models. HOXC6 expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, HOXC6 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, HOXC6 RNA expression shows 15,673 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight COAD, HNSC, and KIRP as cancer lineages where HOXC6 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 HOXC6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HOXC6 survival associations across molecular data types. HOXC6 RNA expression shows survival associations in the most cancer types (29), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HOXC6 RNA expression–survival associations across cancer types. High HOXC6 expression shows unfavorable associations in COAD, HNSC, LGG, ACC, LIHC and READ. The COAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify COAD as the clearest survival context for HOXC6 RNA expression.
This table summarizes HOXC6 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 HOXC6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HOXC6 shows lower tumor expression in KICH and higher tumor expression in HNSC, BLCA, LUAD, COAD and LUSC. The HNSC box plot shows higher HOXC6 RNA expression in tumor versus normal tissue (log2 FC = +1.271, t-test p < 0.001).
This table shows molecular features associated with HOXC6 in patient tissues and cancer cell lines. In patient samples, HOXC6 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, HOXC6 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and LARGE_INTESTINE.
