Q-omics provides the consensus-scored FOXN3 profile across patient tissues and cancer cell-line models. FOXN3 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, FOXN3 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, FOXN3 RNA expression shows 20,244 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, COAD, and UVM as cancer lineages where FOXN3 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 FOXN3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FOXN3 survival associations across molecular data types. FOXN3 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FOXN3 RNA expression–survival associations across cancer types. High FOXN3 expression shows unfavorable associations in MESO and ACC, but favorable associations in KIRC, LUAD, BRCA and LGG. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for FOXN3 RNA expression.
This table summarizes FOXN3 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 7. The strongest signals are observed in COAD for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for FOXN3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FOXN3 shows lower tumor expression in COAD, BLCA, LUAD, UCEC, BRCA and THCA. The COAD box plot shows higher FOXN3 RNA expression in normal versus tumor tissue (log2 FC = −1.302, t-test p < 0.001).
This table shows molecular features associated with FOXN3 in patient tissues and cancer cell lines. In patient samples, FOXN3 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, FOXN3 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
