Q-omics provides the consensus-scored HOXB7 profile across patient tissues and cancer cell-line models. HOXB7 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, HOXB7 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, HOXB7 RNA expression shows 16,778 significant gene co-expression associations, with the highest sampling consensus in KICH. Together, these results highlight ACC, HNSC, and KICH as cancer lineages where HOXB7 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 HOXB7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes HOXB7 survival associations across molecular data types. HOXB7 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible HOXB7 RNA expression–survival associations across cancer types. High HOXB7 expression shows unfavorable associations in ACC, LGG, LUAD, KIRC and LAML, but favorable associations in BLCA. 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 HOXB7 RNA expression.
This table summarizes HOXB7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 1. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for HOXB7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. HOXB7 shows lower tumor expression in KIRC and KICH and higher tumor expression in HNSC, LUSC, LUAD and BLCA. The HNSC box plot shows higher HOXB7 RNA expression in tumor versus normal tissue (log2 FC = +3.502, t-test p < 0.001).
This table shows molecular features associated with HOXB7 in patient tissues and cancer cell lines. In patient samples, HOXB7 shows the broadest associations at the RNA and protein expression levels, with KICH recurring as the lineage with the largest associated feature set. In cancer cell lines, HOXB7 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in URINARY_TRACT and SOFT_TISSUE.
