Regulation of protein kinase C activity

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

The most reproducible pathway-associated genes across cancer lineages are GLS, C1orf146, and IGF2BP3, 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, GLS grouped by Regulation of protein kinase C activity-low versus -high activity in BLOOD_Lymphoma.

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
BLOOD_Lymphoma	GLS →	+0.353	+1.479	.004	<.001	3	4
BLOOD_Lymphoma	C1orf146 →	+0.298	+1.452	.003	<.001	3	4
BREAST	IGF2BP3 →	-0.180	-0.637	<.001	.003	3	4
SKIN	ZBTB40 →	+0.088	+0.875	.007	.002	2	5
SOFT_TISSUE	KRT2 →	-0.254	-1.484	.005	.001	3	3
BLOOD_Lymphoma	HMHB1 →	-0.345	-1.482	.002	<.001	3	3

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

GLS by Regulation of protein kinase C activity activity — BLOOD_Lymphoma

Explore this box plot interactively →