Q-omics provides the consensus-scored IFNGR1 profile across patient tissues and cancer cell-line models. IFNGR1 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, IFNGR1 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, IFNGR1 RNA expression shows 19,136 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, HNSC, and UVM as cancer lineages where IFNGR1 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 IFNGR1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IFNGR1 survival associations across molecular data types. IFNGR1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (2) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible IFNGR1 RNA expression–survival associations across cancer types. High IFNGR1 expression shows unfavorable associations in KIRP and LAML, but favorable associations in KIRC, COAD, SKCM and THCA. The KIRC 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 KIRC as the clearest survival context for IFNGR1 RNA expression.
This table summarizes IFNGR1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for IFNGR1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IFNGR1 shows lower tumor expression in KICH, LUAD and UCEC and higher tumor expression in HNSC, KIRC and STAD. The HNSC box plot shows higher IFNGR1 RNA expression in tumor versus normal tissue (log2 FC = +0.815, t-test p < 0.001).
This table shows molecular features associated with IFNGR1 in patient tissues and cancer cell lines. In patient samples, IFNGR1 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, IFNGR1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BREAST.
