IAPP

Across TCGA patient cohorts, IAPP protein abundance is significantly associated with the RNA expression of many other genes, with 1,522 significant associations in total. PDAC shows the largest number of these associations.

The most reproducible IAPP-associated genes across cancer lineages are SEZ6L, LGALS1, and POLR2F. Each is linked with IAPP in more than 1 cancer types. Because this analysis shows association rather than direction, both IAPP-to-partner and partner-to-IAPP results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, IAPP versus SEZ6L in PDAC, with a Pearson correlation of 0.45.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (IAPP→partner) and Y-score (partner→IAPP) 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
PDAC	SEZ6L →	+0.527	+1.015	.001	<.001	3	1
PDAC	LGALS1 →	-0.502	-0.994	.004	.004	3	1
PDAC	POLR2F →	-0.238	-1.275	<.001	<.001	3	1
PDAC	SEPTIN3 →	+0.309	+0.786	<.001	.005	3	1
PDAC	TTLL1 →	-0.266	-1.347	.003	.001	3	1
PDAC	TOM1 →	-0.230	-0.813	.009	.004	3	1

Each partner links to its Q-omics profile. Showing the 6 strongest of 1,522 associations by consensus.

IAPP vs SEZ6L — PDAC

Explore this scatter interactively →