Q-omics provides the consensus-scored IFNA10 profile across patient tissues and cancer cell-line models. IFNA10 expression is associated with patient survival in 9 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, IFNA10 is differentially expressed in 1, with the highest sampling consensus in BRCA. Additionally, IFNA10 RNA expression shows 7,203 significant gene co-expression associations, with the highest sampling consensus in BRCA. Together, these results highlight THCA, and BRCA as cancer lineages where IFNA10 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 IFNA10 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IFNA10 survival associations across molecular data types. IFNA10 RNA expression shows survival associations in the most cancer types (9), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IFNA10 RNA expression–survival associations across cancer types. High IFNA10 expression shows unfavorable associations in THCA, KIRC, UVM, STAD, KIRP and PAAD. The THCA 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 THCA as the clearest survival context for IFNA10 RNA expression.
This table summarizes IFNA10 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for IFNA10. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IFNA10 shows higher tumor expression in BRCA. The BRCA box plot shows higher IFNA10 RNA expression in tumor versus normal tissue (log2 FC = +0.015, t-test p = .031).
This table shows molecular features associated with IFNA10 in patient tissues and cancer cell lines. In patient samples, IFNA10 shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, IFNA10 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in STOMACH and BLOOD_Leukemia.
