PCP4L1

Across TCGA cell cohorts, PCP4L1 RNA expression is significantly associated with the go_rna of many other GO terms, with 1,653 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible PCP4L1-associated GO terms across cancer lineages are Negative regulation of syncytium formation by plasma membrane fusion, Regulation of myoblast fusion, and Negative regulation of myoblast fusion. Each is linked with PCP4L1 in more than 10 cancer types. Because this analysis shows association rather than direction, both PCP4L1-to-partner and partner-to-PCP4L1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of syncytium formation by plasma membrane fusion grouped by PCP4L1-low versus PCP4L1-high in LUNG_SCLC.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (PCP4L1→partner) and Y-score (partner→PCP4L1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner GO term	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
LUNG_SCLC	Negative regulation of syncytium formation by plasma membrane fusion →	+0.104	+1.315	<.001	<.001	3	11
STOMACH	Regulation of myoblast fusion →	+0.109	+0.245	.006	.009	2	10
LUNG_SCLC	Negative regulation of myoblast fusion →	+0.102	+1.117	<.001	<.001	3	9
LUNG_NSCLC_LUSC	Regulation of erythrocyte differentiation →	+0.074	+0.536	<.001	.008	3	8
URINARY_TRACT	Negative regulation of mRNA metabolic process →	+0.071	+0.827	<.001	.005	3	7
KIDNEY	Golgi vesicle transport →	+0.050	+0.117	.005	.004	2	8

Each partner links to its Q-omics profile. Showing the 6 strongest of 1,653 associations by consensus.

Negative regulation of syncytium formation by plasma membrane fusion by PCP4L1 expression — LUNG_SCLC

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