Q-omics provides the consensus-scored HOXC8 profile across patient tissues and cancer cell-line models. HOXC8 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, HOXC8 is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, HOXC8 RNA expression shows 15,388 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight COAD, HNSC, and KIRP as cancer lineages where HOXC8 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 HOXC8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HOXC8 survival associations across molecular data types. HOXC8 RNA expression shows survival associations in the most cancer types (29), followed by mutation status (1) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HOXC8 RNA expression–survival associations across cancer types. High HOXC8 expression shows unfavorable associations in COAD, LIHC, BLCA, ACC, LGG and CESC. The COAD 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 COAD as the clearest survival context for HOXC8 RNA expression.
This table summarizes HOXC8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for HOXC8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HOXC8 shows lower tumor expression in KICH and higher tumor expression in HNSC, BLCA, LUAD, STAD and LUSC. The HNSC box plot shows higher HOXC8 RNA expression in tumor versus normal tissue (log2 FC = +1.594, t-test p < 0.001).
This table shows molecular features associated with HOXC8 in patient tissues and cancer cell lines. In patient samples, HOXC8 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, HOXC8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BONE and OVARY.
