NR2F1

Across TCGA cell cohorts, NR2F1 RNA expression is significantly associated with the go_rna of many other GO terms, with 4,055 significant associations in total. CNS shows the largest number of these associations.

The most reproducible NR2F1-associated GO terms across cancer lineages are Regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway, Protein neddylation, and Negative regulation of muscle hypertrophy. Each is linked with NR2F1 in more than 7 cancer types. Because this analysis shows association rather than direction, both NR2F1-to-partner and partner-to-NR2F1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway grouped by NR2F1-low versus NR2F1-high in LUNG_NSCLC_LUSC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (NR2F1→partner) and Y-score (partner→NR2F1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner GO term	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
LUNG_NSCLC_LUSC	Regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway →	+0.210	+2.712	<.001	<.001	3	7
UPPER_AERODIGESTIVE_TRACT	Protein neddylation →	+0.084	+1.246	.007	.005	3	7
LUNG_NSCLC_LUSC	Negative regulation of muscle hypertrophy →	+0.134	+2.274	.005	.009	3	7
CNS	Regulation of amacrine cell differentiation →	+0.578	+1.307	.008	.007	3	7
BLOOD_Lymphoma	Positive regulation of gap junction assembly →	+1.384	+1.242	<.001	<.001	3	7
LUNG_NSCLC_LUSC	Response to water →	+0.141	+2.078	.006	.001	3	7

Each partner links to its Q-omics profile. Showing the 6 strongest of 4,055 associations by consensus.

Regulation of adenylate cyclase-activating G protein-coupled receptor signaling pathway by NR2F1 expression — LUNG_NSCLC_LUSC

Explore this box plot interactively →