Regulation of protein autophosphorylation

Across TCGA cell cohorts, RNA activity of the Regulation of protein autophosphorylation pathway is significantly associated with the shRNA dependency of multiple genes, with the OVARY cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are NEK10, VEGFA, and EBF2, each associated with the pathway in up to 5 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The box plot shows the strongest association, NEK10 grouped by Regulation of protein autophosphorylation-low versus -high activity in OVARY.

Pathway-associated genes by consensus

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

Lineage	Partner gene	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
OVARY	NEK10 →	-0.145	-0.777	.004	.005	3	5
SKIN	VEGFA →	-0.279	-1.240	.001	.001	3	5
SKIN	EBF2 →	-0.204	-1.154	.006	.005	3	5
OVARY	RYR1 →	-0.308	-0.963	.001	.007	3	3
LUNG_NSCLC_LUAD	GPT →	-0.107	-0.504	.002	.007	3	3
KIDNEY	RNF40 →	-0.244	-0.435	.001	.002	3	3

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

NEK10 by Regulation of protein autophosphorylation activity — OVARY

Explore this box plot interactively →