Q-omics provides the consensus-scored FOXB1 profile across patient tissues and cancer cell-line models. FOXB1 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, FOXB1 is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, FOXB1 RNA expression shows 9,162 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, HNSC, and TGCT as cancer lineages where FOXB1 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 FOXB1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FOXB1 survival associations across molecular data types. FOXB1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FOXB1 RNA expression–survival associations across cancer types. High FOXB1 expression shows unfavorable associations in ACC, KIRC and LGG, but favorable associations in STAD, LUAD and SKCM. 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 FOXB1 RNA expression.
This table summarizes FOXB1 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 FOXB1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FOXB1 shows lower tumor expression in KICH and higher tumor expression in HNSC, LUAD, KIRC, LUSC and BRCA. The HNSC box plot shows higher FOXB1 RNA expression in tumor versus normal tissue (log2 FC = +0.076, t-test p < 0.001).
This table shows molecular features associated with FOXB1 in patient tissues and cancer cell lines. In patient samples, FOXB1 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, FOXB1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
