Negative regulation of triglyceride biosynthetic process

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

The most reproducible pathway-associated proteins across cancer lineages are KMT2D_T1843, ABCA1_S1296, and ARHGAP31_T237, each associated with the pathway in up to 4 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 triglyceride biosynthetic process activity versus KMT2D_T1843 in GBM (Pearson r = 0.07).

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
GBM	KMT2D_T1843 →	+0.227	+0.089	.004	.005	3	4
UCEC	ABCA1_S1296 →	-0.601	-0.101	<.001	<.001	3	4
LSCC	ARHGAP31_T237 →	-0.580	-0.106	<.001	<.001	3	4
UCEC	SLC27A4 →	-0.349	-0.127	.001	<.001	3	4
HNSC	SRBD1_S152 →	+0.993	+0.165	.006	.007	3	4
UCEC	TMEM106A_S38 →	-0.339	-0.108	.005	<.001	3	4

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

GO:0010868 vs KMT2D_T1843 — GBM

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