Q-omics provides the consensus-scored FOXG1 profile across patient tissues and cancer cell-line models. FOXG1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, FOXG1 is differentially expressed in 7, with the highest sampling consensus in COAD. Additionally, FOXG1 RNA expression shows 8,403 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight LIHC, COAD, and ESCA as cancer lineages where FOXG1 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 FOXG1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FOXG1 survival associations across molecular data types. FOXG1 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (10) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FOXG1 RNA expression–survival associations across cancer types. High FOXG1 expression shows unfavorable associations in LIHC, UVM, KIRP, KIRC, LUSC and READ. The LIHC 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 LIHC as the clearest survival context for FOXG1 RNA expression.
This table summarizes FOXG1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for FOXG1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FOXG1 shows lower tumor expression in KICH and higher tumor expression in COAD, LUSC, BRCA, LUAD and UCEC. The COAD box plot shows higher FOXG1 RNA expression in tumor versus normal tissue (log2 FC = +0.618, t-test p = .003).
This table shows molecular features associated with FOXG1 in patient tissues and cancer cell lines. In patient samples, FOXG1 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set. In cancer cell lines, FOXG1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in LIVER and LARGE_INTESTINE.
