Regulation of JUN kinase activity

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

The most reproducible pathway-associated genes across cancer lineages are PTPN22, BRS3, and CHRNA1, 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, PTPN22 grouped by Regulation of JUN kinase activity-low versus -high activity in BLOOD_Myeloma.

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_Myeloma	PTPN22 →	-0.403	-0.429	.007	.004	2	5
CNS	BRS3 →	+0.147	+0.554	.001	.009	3	3
BONE	CHRNA1 →	+0.320	+0.382	.001	<.001	3	3
BONE	TAS2R42 →	+0.325	+0.337	.002	.001	3	3
BONE	SLC25A43 →	+0.230	+0.371	.002	.003	3	3
LUNG_SCLC	PCDH1 →	-0.195	-0.264	.001	<.001	3	3

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

PTPN22 by Regulation of JUN kinase activity activity — BLOOD_Myeloma

Explore this box plot interactively →