Q-omics provides the consensus-scored IFNW1 profile across patient tissues and cancer cell-line models. IFNW1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in CHOL. Among the 18 cancer types available for tumor–normal comparison, IFNW1 is differentially expressed in 8, with the highest sampling consensus in THCA. Additionally, IFNW1 RNA expression shows 9,690 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight CHOL, THCA, and UVM as cancer lineages where IFNW1 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 IFNW1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IFNW1 survival associations across molecular data types. IFNW1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IFNW1 RNA expression–survival associations across cancer types. High IFNW1 expression shows unfavorable associations in CHOL, STAD, TGCT and READ, but favorable associations in BLCA and COAD. The CHOL 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 CHOL as the clearest survival context for IFNW1 RNA expression.
This table summarizes IFNW1 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 IFNW1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IFNW1 shows lower tumor expression in THCA, COAD, LUAD and KICH and higher tumor expression in UCEC and BLCA. The THCA box plot shows higher IFNW1 RNA expression in normal versus tumor tissue (log2 FC = −0.018, t-test p = .004).
This table shows molecular features associated with IFNW1 in patient tissues and cancer cell lines. In patient samples, IFNW1 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, IFNW1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in KIDNEY, while CRISPR and shRNA rows add functional-dependency signals in LUNG_NSCLC_LUAD and OESOPHAGUS.
