SSH3

Across TCGA cell cohorts, SSH3 mutation is significantly associated with the drug of many other genes, with 25 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible SSH3-associated genes across cancer lineages are Wee1 Inhibitor, Capivasertib, and BAY AKT1. Each is linked with SSH3 in more than 1 cancer types. Because this analysis shows association rather than direction, both SSH3-to-partner and partner-to-SSH3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Wee1 Inhibitor grouped by SSH3-low versus SSH3-high in BLOOD_Leukemia.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SSH3→partner) and Y-score (partner→SSH3) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner gene	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
BLOOD_Leukemia	Wee1 Inhibitor →	-0.224	-2.169	.022	.047	3	1
BLOOD_Leukemia	Capivasertib →	+0.542	+2.807	.033	.049	3	1
BLOOD_Leukemia	BAY AKT1 →	+0.563	+2.881	.049	.019	3	1
BLOOD_Leukemia	FEN1_3940 →	+0.301	+2.643	.015	.048	3	1
BLOOD_Leukemia	FGFR_0939 →	+0.258	+2.169	.033	.046	3	1
BLOOD_Leukemia	GSK2110183B →	+0.338	+2.655	.035	.044	3	1

Each partner links to its Q-omics profile. Showing the 6 strongest of 25 associations by consensus.

Wee1 Inhibitor by SSH3 expression — BLOOD_Leukemia

Explore this box plot interactively →