nuclear receptor subfamily 2 group F member 6Genealiases: EAR-2 · EAR2 · ERBAL2
Q-omics provides the consensus-scored NR2F6 profile across patient tissues and cancer cell-line models. NR2F6 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NR2F6 is differentially expressed in 13, with the highest sampling consensus in LUAD. Additionally, NR2F6 RNA expression shows 18,389 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LUAD as cancer lineages where NR2F6 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 NR2F6 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NR2F6 survival associations across molecular data types. NR2F6 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (3) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NR2F6 RNA expression–survival associations across cancer types. High NR2F6 expression shows unfavorable associations in ACC, KICH, SKCM, LGG, LUAD and KIRP. The ACC 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 ACC as the clearest survival context for NR2F6 RNA expression.
This table summarizes NR2F6 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 5. The strongest signals are observed in LUAD for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for NR2F6. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NR2F6 shows higher tumor expression in LUAD, LIHC, LUSC, BLCA, THCA and UCEC. The LUAD box plot shows higher NR2F6 RNA expression in tumor versus normal tissue (log2 FC = +1.162, t-test p < 0.001).
This table shows molecular features associated with NR2F6 in patient tissues and cancer cell lines. In patient samples, NR2F6 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, NR2F6 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 BLOOD_Myeloma and SOFT_TISSUE.
