TRADD

Across TCGA cell cohorts, TRADD RNA expression is significantly associated with the go_rna of many other GO terms, with 4,928 significant associations in total. CNS shows the largest number of these associations.

The most reproducible TRADD-associated GO terms across cancer lineages are Extrinsic apoptotic signaling pathway via death domain receptors, Response to epidermal growth factor, and Cellular response to epidermal growth factor stimulus. Each is linked with TRADD in more than 15 cancer types. Because this analysis shows association rather than direction, both TRADD-to-partner and partner-to-TRADD results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Extrinsic apoptotic signaling pathway via death domain receptors grouped by TRADD-low versus TRADD-high in LUNG_NSCLC_LUSC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (TRADD→partner) and Y-score (partner→TRADD) 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	Extrinsic apoptotic signaling pathway via death domain receptors →	+0.114	+0.977	.001	.005	3	16
UPPER_AERODIGESTIVE_TRACT	Response to epidermal growth factor →	+0.146	+1.642	<.001	<.001	3	16
UPPER_AERODIGESTIVE_TRACT	Cellular response to epidermal growth factor stimulus →	+0.142	+1.530	<.001	<.001	3	16
LIVER	TRAIL-activated apoptotic signaling pathway →	+0.247	+1.275	<.001	<.001	3	16
BONE	Viral process →	+0.100	+0.940	.001	.002	3	15
UPPER_AERODIGESTIVE_TRACT	Regulation of protein localization to cell periphery →	+0.092	+1.150	<.001	<.001	3	15

Each partner links to its Q-omics profile. Showing the 6 strongest of 4,928 associations by consensus.

Extrinsic apoptotic signaling pathway via death domain receptors by TRADD expression — LUNG_NSCLC_LUSC

Explore this box plot interactively →