Regulation of triglyceride biosynthetic process

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

The most reproducible pathway-associated proteins across cancer lineages are KIF3A_T633, CORO2B, and MKI67_S1679, 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, Regulation of triglyceride biosynthetic process activity versus KIF3A_T633 in HNSC (Pearson r = 0.10).

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
HNSC	KIF3A_T633 →	+0.654	+0.075	.004	.003	3	5
BRCA	CORO2B →	+0.400	+0.037	.006	.001	3	5
LUAD	MKI67_S1679 →	-0.839	-0.043	<.001	<.001	3	5
CCRCC	NOC2L →	-0.155	-0.033	.002	.003	3	4
LUAD	MELK_S356 →	-0.789	-0.072	.001	<.001	3	4
UCEC	PPP1R3E_S33 →	+0.539	+0.057	.001	.005	3	4

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

GO:0010866 vs KIF3A_T633 — HNSC

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