SCT

Across TCGA cell cohorts, SCT RNA expression is significantly associated with the go_rna of many other GO terms, with 359 significant associations in total. BONE shows the largest number of these associations.

The most reproducible SCT-associated GO terms across cancer lineages are Regulation of anaphase-promoting complex-dependent catabolic process, Regulation of polysaccharide metabolic process, and Regulation of polysaccharide biosynthetic process. Each is linked with SCT in more than 4 cancer types. Because this analysis shows association rather than direction, both SCT-to-partner and partner-to-SCT results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Regulation of anaphase-promoting complex-dependent catabolic process grouped by SCT-low versus SCT-high in BONE.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (SCT→partner) and Y-score (partner→SCT) 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
BONE	Regulation of anaphase-promoting complex-dependent catabolic process →	+0.157	+0.206	.005	.001	3	5
UPPER_AERODIGESTIVE_TRACT	Regulation of polysaccharide metabolic process →	+0.049	+0.142	.004	.007	3	4
LUNG_NSCLC_LUAD	Regulation of polysaccharide biosynthetic process →	+0.041	+0.113	.001	.006	3	4
UPPER_AERODIGESTIVE_TRACT	Regulation of transcription regulatory region DNA binding →	+0.076	+0.122	.006	.004	3	4
BONE	Cell motility involved in cerebral cortex radial glia guided migration →	+0.114	+0.139	<.001	<.001	3	4
BONE	Protein localization to phagophore assembly site →	+0.057	+0.155	.008	.005	3	4

Each partner links to its Q-omics profile. Showing the 6 strongest of 359 associations by consensus.

Regulation of anaphase-promoting complex-dependent catabolic process by SCT expression — BONE

Explore this box plot interactively →