"Maturation of SSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA)"

Across TCGA cell cohorts, RNA activity of the "Maturation of SSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA)" pathway is significantly associated with the RNA expression of multiple genes, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are MIIP, EXOSC4, and SUGCT, 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, MIIP grouped by "Maturation of SSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA)"-low versus -high activity in LUNG_SCLC.

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
LUNG_SCLC	MIIP →	-1.050	-0.219	.006	.005	3	5
BLOOD_Myeloma	EXOSC4 →	-1.153	-0.360	.001	<.001	3	4
KIDNEY	SUGCT →	+3.024	+0.382	.001	<.001	3	4
KIDNEY	C8orf33 →	-1.229	-0.323	<.001	.008	3	4
KIDNEY	MYLIP →	-1.557	-0.344	<.001	.002	3	4
KIDNEY	SESN1 →	+1.214	+0.246	.004	.007	3	4

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

MIIP by "Maturation of SSU-rRNA from tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA)" activity — LUNG_SCLC

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