Q-omics provides the consensus-scored GFI1 profile across patient tissues and cancer cell-line models. GFI1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, GFI1 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, GFI1 RNA expression shows 17,241 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight BRCA, HNSC, and UVM as cancer lineages where GFI1 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 GFI1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GFI1 survival associations across molecular data types. GFI1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GFI1 RNA expression–survival associations across cancer types. High GFI1 expression shows unfavorable associations in UVM and LGG, but favorable associations in BRCA, LUAD, HNSC and SKCM. The BRCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify BRCA as the clearest survival context for GFI1 RNA expression.
This table summarizes GFI1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for GFI1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GFI1 shows lower tumor expression in COAD and THCA and higher tumor expression in HNSC, KIRC, BLCA and KIRP. The HNSC box plot shows higher GFI1 RNA expression in tumor versus normal tissue (log2 FC = +0.977, t-test p < 0.001).
This table shows molecular features associated with GFI1 in patient tissues and cancer cell lines. In patient samples, GFI1 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, GFI1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in SKIN and LARGE_INTESTINE.
