Q-omics provides the consensus-scored FOXN3P2 profile across patient tissues and cancer cell-line models. FOXN3P2 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, FOXN3P2 is differentially expressed in 2, with the highest sampling consensus in BRCA. Additionally, FOXN3P2 RNA expression shows 10,408 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UVM, BRCA, and GBM as cancer lineages where FOXN3P2 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 FOXN3P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FOXN3P2 survival associations across molecular data types. FOXN3P2 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FOXN3P2 RNA expression–survival associations across cancer types. High FOXN3P2 expression shows unfavorable associations in UVM, ESCA, COAD, HNSC and ACC, but favorable associations in LUAD. The UVM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .011). Together, the overview and detailed table identify UVM as the clearest survival context for FOXN3P2 RNA expression.
This table summarizes FOXN3P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for FOXN3P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FOXN3P2 shows lower tumor expression in BRCA and HNSC. The BRCA box plot shows higher FOXN3P2 RNA expression in normal versus tumor tissue (log2 FC = −0.064, t-test p = .037).
This table shows molecular features associated with FOXN3P2 in patient tissues and cancer cell lines. In patient samples, FOXN3P2 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
