Q-omics provides the consensus-scored IFNA20P profile across patient tissues and cancer cell-line models. IFNA20P expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, IFNA20P is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, IFNA20P RNA expression shows 17,977 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UCS, THCA, and UVM as cancer lineages where IFNA20P 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 IFNA20P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IFNA20P survival associations across molecular data types. IFNA20P RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IFNA20P RNA expression–survival associations across cancer types. High IFNA20P expression shows unfavorable associations in KIRP and UVM, but favorable associations in UCS, KIRC, MESO and COAD. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify UCS as the clearest survival context for IFNA20P RNA expression.
This table summarizes IFNA20P 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for IFNA20P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IFNA20P shows lower tumor expression in THCA, BLCA, LUSC, KICH and UCEC and higher tumor expression in HNSC. The THCA box plot shows higher IFNA20P RNA expression in normal versus tumor tissue (log2 FC = −0.640, t-test p < 0.001).
This table shows molecular features associated with IFNA20P in patient tissues and cancer cell lines. In patient samples, IFNA20P shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
