Negative regulation of hormone metabolic process

Across TCGA patient cohorts, RNA activity of the Negative regulation of hormone metabolic process pathway is significantly associated with the protein abundance of multiple proteins, with the LSCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are SETD2_S323, CRIP2_S114, and SBF2, 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 scatter plot shows the strongest association, Negative regulation of hormone metabolic process activity versus SETD2_S323 in LSCC (Pearson r = -0.27).

Pathway-associated proteins 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 protein	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
LSCC	SETD2_S323 →	-0.353	-0.053	.002	.001	3	5
CCRCC	CRIP2_S114 →	+1.083	+0.080	<.001	.007	3	5
LSCC	SBF2 →	+0.181	+0.059	.001	.001	3	4
LSCC	TNKS1BP1_S836 →	+0.688	+0.072	<.001	<.001	3	4
LSCC	ECM1 →	+0.369	+0.067	.004	.001	3	4
PDAC	EIF4H_T220 →	+0.660	+0.081	<.001	<.001	3	4

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

GO:0032351 vs SETD2_S323 — LSCC

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